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Erin Brockovich | This Past Weekend w/ Theo Von #670 — Transcript

by Theo Von · 18,298 words · 2,857 segments · language en · Watch on YouTube

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  1. 0:00Today's guest is an environmental
  2. 0:02activist and a consumer advocate. Um her
  3. 0:06name is notorious with uh being for the
  4. 0:10people. Uh she's known for leading some
  5. 0:12highprofile cases over the years.
  6. 0:14Lately, she's focused on the rise of
  7. 0:16data centers and their effects on life
  8. 0:19around them. Uh I'm thankful today to
  9. 0:22spend time with Miss Aaron Brochovich.
  10. 0:27on me
  11. 0:30and I will [music] find [singing] a
  12. 0:32song. I'll be singing.
  13. 0:41>> If you need to move this Aaron, you can.
  14. 0:43Um, let me open your water. Sometimes
  15. 0:45these are very uh
  16. 0:48>> I've learned that over at the hotel. I
  17. 0:49was like, my lord, and I work out. I was
  18. 0:52like, I can't get it open. Well, that's
  19. 0:54the crazy thing about today, especially
  20. 0:55honestly with this Asentia company. They
  21. 0:58I just opened it for you, but you you
  22. 1:00can't even get in their waters. It's
  23. 1:02like that's how bad it's gotten that
  24. 1:04they they almost keep you locked out of
  25. 1:05clean water in this country.
  26. 1:07>> Yeah. That's why my daughter will carry
  27. 1:08a knife. Boom. She'll go just like that.
  28. 1:10>> She's like that.
  29. 1:11>> Oh, yeah. She's military police. She's
  30. 1:13hilarious.
  31. 1:13>> Oh, she's an MP.
  32. 1:14>> She was. Yes. They're they're both out
  33. 1:16now. Matt was a combat vet. Yeah.
  34. 1:18>> Your son was combat.
  35. 1:19>> Yeah. My dad was Navy fighter pilot. So
  36. 1:22definitely um I'm a military mom and a
  37. 1:25military daughter.
  38. 1:26>> Oh, that's beautiful. Well, thank them
  39. 1:28for their service from us and thank you
  40. 1:30for your service. Uh I know you um as
  41. 1:33probably most of uh people a lot of
  42. 1:35people do. Uh I know you as an
  43. 1:36environmentalist, right? Um kind of a
  44. 1:39truth seeker, I guess I would say. And
  45. 1:41like a an an activist, I guess. Does
  46. 1:44that How do you like to be
  47. 1:46>> I never say activist because that's
  48. 1:47always like a connotation. Um, I I
  49. 1:50advocate for clearly people.
  50. 1:52>> What about the term like a consumer
  51. 1:54advocate? Is that fair to say? Kind of.
  52. 1:55>> A people advocate.
  53. 1:56>> Okay. A people advocate. Me too. I feel
  54. 1:59like I try my best to be.
  55. 2:00>> I do too.
  56. 2:01>> Yeah. And for our listeners that don't
  57. 2:03know, uh, how did you get on this track,
  58. 2:06right? Like take me through your
  59. 2:07journey. Um, you know, I know about the
  60. 2:10movie uh starring Julia Roberts that was
  61. 2:12made about your life, Aaron Brachovich,
  62. 2:15but take us into the journey of like
  63. 2:17what happened to create uh the story
  64. 2:19that led to the film. Like how did your
  65. 2:21activism like lead to um one of the
  66. 2:24largest settlements at the time that had
  67. 2:25ever been I think it was like over $300
  68. 2:27million.
  69. 2:28>> 333 million.
  70. 2:29>> 333 million that was awarded
  71. 2:30>> at the time.
  72. 2:31>> At the time is it
  73. 2:32>> now they're settling for like 33
  74. 2:34billion. It's not to laugh at, but
  75. 2:36>> but hey,
  76. 2:37>> times have changed, [laughter]
  77. 2:38>> dude. Aaron walked to the bank so they
  78. 2:41could run to it. That's for sure. Uh, so
  79. 2:43take us I want you to take us through
  80. 2:44that journey. Uh, for our listeners that
  81. 2:46don't know, obviously you had a care for
  82. 2:47the outdoors. How did that start?
  83. 2:49>> Okay. Well, I've always been an outdoor
  84. 2:51enthusiast. Uh, I was born and raised in
  85. 2:54Kansas and I love the outdoors.
  86. 2:56Everything about it spoke to me mostly
  87. 2:59because I hated school. I sucked at
  88. 3:03school and it took years before they
  89. 3:07really understood I have dyslexia.
  90. 3:09>> Oh, you do?
  91. 3:10>> I do.
  92. 3:10>> Let's go do my friend has it.
  93. 3:12>> I'm a dyslexic. So,
  94. 3:14>> dude, you guys don't get any credit.
  95. 3:16>> I know. You know,
  96. 3:17>> you probably and some of you shouldn't,
  97. 3:19but a lot of you guys should, dude.
  98. 3:21>> You You should. You know, interestingly
  99. 3:23enough, off topic, and I'll just say it
  100. 3:25really quick. So, I'm ambassador for
  101. 3:28Made by Dyslexia, run by Kate Griggs,
  102. 3:30and Sir Richard Branson, who's also a
  103. 3:33dyslexic.
  104. 3:34>> No way.
  105. 3:35>> Yeah, dude. We got to get a good
  106. 3:37dyslexic on here.
  107. 3:38>> You do. And they're everywhere.
  108. 3:40>> I know, [laughter] dude. Half of my
  109. 3:41friends are like, they can't even
  110. 3:43complete a handshake. They're just not
  111. 3:44doing good, you know? It's like
  112. 3:45>> we just like code differently. We have
  113. 3:47pattern recognition.
  114. 3:49But I didn't even know until I became
  115. 3:51ambassador for Made by Dyslexia that
  116. 3:54there's 1 billion
  117. 3:57>> dyslexics on the planet. No.
  118. 3:59>> 1 billion.
  119. 4:00>> A one billion D's in this world. That's
  120. 4:02crazy. Let me see.
  121. 4:03>> Right.
  122. 4:04>> A billion. Nuh-uh. I'm saying that's
  123. 4:06ridiculous.
  124. 4:08>> Yeah.
  125. 4:09>> I got to learn a little bit more about
  126. 4:10this. Um so take me through you know
  127. 4:14your journey or experience as like a
  128. 4:17human advocate like as a
  129. 4:19environmentalist you know um can you
  130. 4:22just take us through that so that for
  131. 4:24our listeners that don't know?
  132. 4:26>> So I have to say I think I was as
  133. 4:28surprised as anybody else honestly. So,
  134. 4:33how it happened was as I grew up in
  135. 4:36Kansas, uh, went to school at Kansas
  136. 4:39State, then I went to a design school in
  137. 4:41Texas, and then I moved to California. I
  138. 4:44ended up being a regional manager for
  139. 4:45Kmart.
  140. 4:46>> Oh, yeah.
  141. 4:47>> And I wasn't my favorite job. And then I
  142. 4:50ended up working at Flu Engineers and
  143. 4:53Constructors. So, I was raised by an
  144. 4:55engineer. It was kind of fun for me. I
  145. 4:57like to create things, etc., etc., Even
  146. 5:00though everybody always told me I
  147. 5:01couldn't do anything, you know, with the
  148. 5:02dyslexia.
  149. 5:03>> Oh, yeah.
  150. 5:04>> So, but I always pushed against that.
  151. 5:05So, I'm one that pushes against these
  152. 5:08things.
  153. 5:09>> So, out of the gate, that dyslexia might
  154. 5:11have gave you that edge like, ah, I can
  155. 5:12still do it.
  156. 5:13>> I was born, you don't put me in a box
  157. 5:16cuz I will get out and I will kick and
  158. 5:19scream the whole way there. So,
  159. 5:21>> amen.
  160. 5:22>> I That's one of my traits. I'm like,
  161. 5:24yeah, no, I don't want none of us like
  162. 5:27it. I don't like being labeled. I don't
  163. 5:30like being judged. I don't like being
  164. 5:31put in a box.
  165. 5:32>> I'm almost like mimes like it.
  166. 5:35>> I'm like, "Fuck off." I mean, that's my
  167. 5:38motto. So, but I don't
  168. 5:40>> Wait, what's your motto?
  169. 5:41>> [ __ ] off.
  170. 5:42>> That's a good motto.
  171. 5:43>> [ __ ] it. [ __ ] you. [ __ ] off,
  172. 5:44>> dude. [laughter] That's the best motto.
  173. 5:46That's what that should become our
  174. 5:47national anthem in this in this [ __ ]
  175. 5:50country to be honest with you. Okay.
  176. 5:51>> So, but I'm an F-dropper bomb. So, I
  177. 5:54hope that doesn't offend anybody. Yeah,
  178. 5:55we'll pick them up at the end of the
  179. 5:57show. Um, okay. So, you got you got the
  180. 5:59dyslexia, you got the spirit, you got
  181. 6:01what you need.
  182. 6:01>> That's right.
  183. 6:02>> So, I go through all this process. I end
  184. 6:05up getting married. That was the biggest
  185. 6:06mistake of my life. Three times over.
  186. 6:09And had children and got in a car wreck
  187. 6:12in Reno, Nevada, and moved down to
  188. 6:15California. Met an attorney by the name
  189. 6:18of Jim Vito, who was Ed Mazer's partner.
  190. 6:22So Ed Mazerie was the attorney in the
  191. 6:24film and we had a trial and I lost. The
  192. 6:28jury told me to get a job.
  193. 6:29>> You had a trial for what? Oh, for the
  194. 6:30auto accident.
  195. 6:31>> For the auto accident.
  196. 6:32>> Okay, got it.
  197. 6:32>> And we lost. And of course, you know,
  198. 6:35the lawyers told me we're going to win
  199. 6:36all kinds of money and make this right
  200. 6:38by you, Aaron. That did not happen.
  201. 6:41So, I went back to Ed Mazerie and I
  202. 6:44said, "You promised me things would be
  203. 6:46okay, and they weren't, and I need a
  204. 6:49job."
  205. 6:49>> Yeah. So Ed gave me a job. So in the
  206. 6:53beginning of the film, Aaron Brockovich,
  207. 6:54you'll see her doing all these
  208. 6:56interviews. And of course, I'd been a
  209. 6:58single mom and I was turned down for
  210. 6:59every job, but I but I h I had Ed
  211. 7:02cornered. You promised me something and
  212. 7:05I showed up.
  213. 7:06>> Hey, Eddie.
  214. 7:07>> It's that power of stick tuitiveness
  215. 7:09that I talk about.
  216. 7:10>> When you show up, things are different,
  217. 7:12>> right? And see, that's something, and
  218. 7:14we'll get into that in a minute. I don't
  219. 7:15want to jump ahead of it, but that's
  220. 7:17what's going on right now out in this
  221. 7:19country. People are showing up.
  222. 7:22>> Amen.
  223. 7:23>> And I love it because I'm watching it.
  224. 7:27We all are. Especially with the data
  225. 7:28centers.
  226. 7:30>> We're united. Bipartisan. And when we
  227. 7:32get united,
  228. 7:34>> we change things.
  229. 7:35>> Things can happen.
  230. 7:36>> And I love it.
  231. 7:37>> Amen. I love I love that.
  232. 7:38>> That's what happened. I showed up with
  233. 7:40Ed. I ended up getting a job uh starting
  234. 7:43in the workers compensation department.
  235. 7:45I like people. I'm a people person. I'm
  236. 7:49a chatty person. I want to know about
  237. 7:51you. What's going on in your life? That
  238. 7:53seems odd. So, I was a perfect fit in
  239. 7:56the workers compensation department. So,
  240. 7:58one day Ed came into the office just
  241. 8:00like you see in the film with a big
  242. 8:02archive box of files.
  243. 8:04>> Got it. And the movie is Aaron
  244. 8:05Brochovich. For people that haven't seen
  245. 8:06it, you can go watch it. It's um
  246. 8:08>> starring Julie Roberts.
  247. 8:09>> Staring Julia Roberts
  248. 8:10>> and Albert Finny.
  249. 8:11>> And Albert Finny. Oh,
  250. 8:12>> yes.
  251. 8:12>> Great actress.
  252. 8:13>> Known for her great push-up bra.
  253. 8:16>> Yeah. I'd look I mean I'd hold them in
  254. 8:18place. You know what I'm saying? I mean
  255. 8:19[laughter]
  256. 8:21so I'd donate my hands [clears throat]
  257. 8:22to Hannes or whoever made that thing and
  258. 8:24let them just you know I'd be the wiring
  259. 8:27in that thing baby. Anyway, let's move
  260. 8:28on.
  261. 8:28>> I had to giggle when the film came out.
  262. 8:30I'm like that's what you got out of the
  263. 8:31film is the push-up bra, not what
  264. 8:33happened to the people. [laughter] So
  265. 8:35>> you got a bait and you got to get them
  266. 8:37on the hook.
  267. 8:37>> You do. So they were on the hook. But uh
  268. 8:40>> So you're working in workman's comp. So,
  269. 8:42I was working in workers comp and then
  270. 8:44Ed brought a box into me that was a PI
  271. 8:47case, personal injury case, and he said,
  272. 8:50"Do you know how to open a personal
  273. 8:51injury file?" I had not a clue what I
  274. 8:54was doing, but I said, "Sure, I know how
  275. 8:57to open it." So, when I started to go
  276. 8:59through the file, I'm like, "Okay, so
  277. 9:01I've now put myself out here. I don't
  278. 9:03know what I'm doing. I better learn what
  279. 9:05I'm doing." Got it.
  280. 9:06>> I started reading the files. Inside this
  281. 9:09file box were medical records.
  282. 9:11>> Okay. Okay. So, and it's just one of the
  283. 9:12files that's like in the box.
  284. 9:13>> Yeah. It was just everything about a
  285. 9:15personal injury case was thrown in a
  286. 9:17box. And what kind of made me go, well,
  287. 9:19that's odd. Is there were real estate
  288. 9:22records in there. I'm like, why are real
  289. 9:25estate records and medical files in the
  290. 9:27same box?
  291. 9:29>> Yeah.
  292. 9:29>> And the reason for that was to jump
  293. 9:32ahead and I'll go right back.
  294. 9:34Unbeknownst to me at the time, Pacific
  295. 9:36Gas and Electric was a utility company
  296. 9:39trying to buy Roberto Walker's property.
  297. 9:43>> Okay. And Roberto Walker was one of the
  298. 9:45>> plaintiffs.
  299. 9:45>> One of the plaintiffs,
  300. 9:46>> right? Got it. And so she had contacted
  301. 9:50Ed because Penie was trying to buy her
  302. 9:54house. And so she just threw everything
  303. 9:57into a box. As a matter of fact, Roberta
  304. 9:58kept everything in a suitcase. So it all
  305. 10:01just got thrown in a box. So I like, you
  306. 10:05know, I like a challenge. So I'm pulling
  307. 10:06everything out of the box, making my
  308. 10:08little piles,
  309. 10:09>> but I was curious about the medical
  310. 10:12records
  311. 10:13>> because they were of children
  312. 10:15>> and all everything was done in a bar
  313. 10:17graph. So all their tea cells were off,
  314. 10:20their white cells were off, their red
  315. 10:22counts were too high. Now I'm a mom and
  316. 10:25I'm thinking to myself, God, if I saw
  317. 10:27blood tests like this on my kids, I',
  318. 10:28what the [ __ ] is this?
  319. 10:29>> You'll be spooked.
  320. 10:30>> Yeah. And so I started researching it
  321. 10:32more and it was leading me to cancer and
  322. 10:35diseases. So I asked Ed if I could go
  323. 10:39out to Hinckley, California, which he
  324. 10:42was thrilled to let me go. Nobody in the
  325. 10:46office liked me. I annoyed everybody. My
  326. 10:50skirts were too short. My attitude
  327. 10:52sucked. My bras were showing. And nobody
  328. 10:56wanted me around. So I was like, "Score,
  329. 10:59get out of here and go."
  330. 11:02[clears throat and laughter]
  331. 11:02>> That's classic.
  332. 11:04>> So off I went to Hinckley, California.
  333. 11:07>> And the reason why So just to get to get
  334. 11:09a little bit clearer, so in this box in
  335. 11:11this um this woman had hired the
  336. 11:14attorney for what purpose?
  337. 11:16>> To settle a real estate claim.
  338. 11:19>> Okay, so that's why the initial hiring
  339. 11:21was there, but then there was all these
  340. 11:23other records in there. Why was uh
  341. 11:24Pacific and Gas trying to buy her house?
  342. 11:28>> Because Roberta was on to something and
  343. 11:33they had water issues and PG& was
  344. 11:38holding these town hall meetings trying
  345. 11:41to convince everybody that there was
  346. 11:44nothing wrong with the water.
  347. 11:47>> Now I'll tell you something I've learned
  348. 11:50ever since I began Hingckley. You piss
  349. 11:54off one mom and you pissed off Roberta
  350. 11:58and they've got great instincts and they
  351. 12:00think you're lying to them, they're
  352. 12:03going to go find 10 other [ __ ]
  353. 12:04pissed-off moms and they're going to
  354. 12:07actually use these instincts and they
  355. 12:09will come at you. And so these moms were
  356. 12:13getting upset.
  357. 12:14>> Hell yeah.
  358. 12:15>> And they knew it was just that moment.
  359. 12:18>> It's time for moms to get upset.
  360. 12:20>> Oh yeah. and they've got this hunch,
  361. 12:23this instinct, this intuition, and they
  362. 12:27make it their job to find out because
  363. 12:29you're you've harmed their child.
  364. 12:30>> Yeah.
  365. 12:31>> And they don't believe you. And so that
  366. 12:34was the first clue for me, even in the
  367. 12:38files talking to Roberta on the phone
  368. 12:40before I ever met her, something was
  369. 12:42going on. And you know, I have learned I
  370. 12:45always listen and believe the people
  371. 12:50and and people will show up, but
  372. 12:52somebody else tells them and and when I
  373. 12:54first even started my work in Hinkley, I
  374. 12:56was getting the you're not a doctor,
  375. 12:58you're not a lawyer, you're not a
  376. 13:00scientist, you're not a politician.
  377. 13:03Yeah. Like, so what do you do and why
  378. 13:05are you here and why should we believe
  379. 13:07you? And I had a moment where I was
  380. 13:09gobsmacked. I'm like,
  381. 13:12it never dawned on me that I had to be
  382. 13:14any of that.
  383. 13:15>> Right. All you have to be really is just
  384. 13:16a curious baddy.
  385. 13:18>> Absolutely. And to be a human and to
  386. 13:20tell you those two-headed frogs and the
  387. 13:23green water coming out of your tap is
  388. 13:25[ __ ] up. And I'm not leaving. That's
  389. 13:27what happened.
  390. 13:28>> I'm not leaving until these frogs have
  391. 13:30one head again.
  392. 13:31>> That's right. So, if y'all think that's
  393. 13:32normal, I'm sorry. You call me crazy.
  394. 13:35>> Do there's so much of that gaslighting
  395. 13:37like you see that all the time. even
  396. 13:39just like about podcasters talking with
  397. 13:40people like you're not a um politician,
  398. 13:43you're not like a um science uh
  399. 13:45sciencer, you're not a um astronomer
  400. 13:50cuz you're none of those.
  401. 13:51>> And I'm like, [ __ ] but I'm [ __ ]
  402. 13:52curious and I'm [ __ ] loud.
  403. 13:54>> That's right.
  404. 13:55>> How about that?
  405. 13:56>> Absolutely. And you know what? Curiosity
  406. 13:57is a good thing.
  407. 13:58>> Yeah.
  408. 13:59>> It it can often times get you in
  409. 14:01trouble, but sometimes it's quite
  410. 14:03surprising where it might lead you.
  411. 14:04>> Well, it just I don't know. It's not
  412. 14:07things should be fair. Like I think if
  413. 14:09things are fair, people can operate from
  414. 14:11a place of comfort, of peace, and a
  415. 14:13place that gives them more autonomy.
  416. 14:16>> Yeah.
  417. 14:17>> If things are fair, like I know that
  418. 14:19there's going to be like setbacks in
  419. 14:20life, and some people aren't going to
  420. 14:21have the same advantages, disadvant
  421. 14:22people can have disadvantages and stuff
  422. 14:24like that. Some people are going to be
  423. 14:25born in a less like circumstances, but
  424. 14:27overall, if you could I don't know.
  425. 14:29>> And I guess and I I I guess things are
  426. 14:31never fair, but it's like I don't know.
  427. 14:33That's something I think that a lot of
  428. 14:34people try and fight for is things
  429. 14:36should be fair. You should be able to uh
  430. 14:38you should be able to raise your kids in
  431. 14:40a healthy enough environment, you know.
  432. 14:42Um
  433. 14:42>> you know, that's a great word, fair. And
  434. 14:46in Hinckley,
  435. 14:48what I have learned over 30 years is
  436. 14:50people and communities
  437. 14:54always handle the truth. They won't
  438. 14:56handle the lie.
  439. 14:58>> That lie is unfair. And when they're not
  440. 15:01told the truth, it's unfair that they
  441. 15:04have to suck up the consequences of that
  442. 15:07lie. So fair is an interesting word. Um
  443. 15:11and they were being treated unfairly.
  444. 15:14>> Unfairly. Yeah. Well, there's a lot of
  445. 15:15transparency issues now. We're going to
  446. 15:17get into some of that in a bit. But um
  447. 15:18All right. So you get out to Hankley,
  448. 15:19California, and what's popping out
  449. 15:21there?
  450. 15:21>> So all the trees are dying. I'm out
  451. 15:24there. First of all, uh I'm when I'm
  452. 15:27boots on the ground, and that's what I
  453. 15:29like to do. I'm out there generally
  454. 15:31barefoot. Um I feel things. I connect to
  455. 15:35nature. And the moment I was there, I
  456. 15:38could feel something was wrong. You can
  457. 15:39just feel it. We're energy. Water's
  458. 15:41energy. An environment that's damaged.
  459. 15:44It's energy.
  460. 15:44>> Yeah.
  461. 15:45>> But the trees were dead. The cows were
  462. 15:47covered in tumors. People were reporting
  463. 15:50really bizarre things to me. They
  464. 15:52themselves had, you know, these chronic
  465. 15:54headaches, skin rashes, constant nose
  466. 15:57bleeds. Yeah.
  467. 15:58>> Uh the fish had, you know, tumors on
  468. 16:01their body. The frogs had two heads. And
  469. 16:05the water was green.
  470. 16:07>> Are you serious?
  471. 16:08>> I'm serious.
  472. 16:09>> The frogs had two heads.
  473. 16:11>> Two heads.
  474. 16:11>> Bring up one of them. Well, two of them.
  475. 16:14>> You got a two-headed frog on there?
  476. 16:16>> Yeah. Hey, you want to see this
  477. 16:17two-headed frog? That's a lot of
  478. 16:18pedophiles used to have stuff like that.
  479. 16:20You [laughter] like, "Oh, hold on. You
  480. 16:21can see like so there's other chemicals
  481. 16:24that can cause frogs to have two heads.
  482. 16:27>> Oh my god. Look at the second one. That
  483. 16:29one is
  484. 16:30>> they had two heads.
  485. 16:31>> That one has dyslexia. Look at that one.
  486. 16:33[laughter] Look at the green.
  487. 16:35>> Well, you know, I could believe that
  488. 16:36because definitely I've been told before
  489. 16:38you have two heads.
  490. 16:39>> Sorry to laugh at my own joke, but I
  491. 16:41thought that
  492. 16:41>> two different brains colliding together.
  493. 16:43>> That was pretty good. I thought based on
  494. 16:45the looks of that one. If you can't see,
  495. 16:47>> it was stunning. And I'm from Kansas. I
  496. 16:49don't see this [ __ ] in Kansas.
  497. 16:51>> Right. Well, that's probably because the
  498. 16:52nature was a little bit more like uh I
  499. 16:54mean, if you're heading out to if you're
  500. 16:55heading out to California, it's a place
  501. 16:56where there's a lot more probably
  502. 16:57industry going on and things could be a
  503. 16:58little bit more um damaged, you know,
  504. 17:00because there's but in in Kansas, you
  505. 17:02were probably coming from a pure
  506. 17:03environment, I'm guessing.
  507. 17:04>> And also, dude, I remember a time in our
  508. 17:06town like people couldn't whistle for
  509. 17:08like two months or something and maybe
  510. 17:10it was something in the air, something
  511. 17:11was going on, you know? We had a long uh
  512. 17:13what's it called when the moon and the
  513. 17:15sun cross each other?
  514. 17:16>> Eclipse.
  515. 17:17>> Yeah.
  516. 17:17>> Yeah. We had an eclipse one time. I I
  517. 17:20swear that thing lasted probably three
  518. 17:21days over there and people couldn't
  519. 17:22whistle. Um you couldn't hail a taxi for
  520. 17:25probably, you know, for half a week over
  521. 17:27there.
  522. 17:27>> I've been down in Louisiana. I spent
  523. 17:29six, eight weeks down there on the down
  524. 17:31in the bayou with the whole BP oil
  525. 17:33spill.
  526. 17:34>> Oh, did you really? We'll get we'll get
  527. 17:35into some of that. Um okay, so you get
  528. 17:37out to Hankley. You're seeing all these
  529. 17:39things going.
  530. 17:39>> By the time I finally got Ed to go out
  531. 17:41there with me, he did not know who PG
  532. 17:45was. So we're driving along. And he
  533. 17:47goes, "Okay, so kid, let's go over this
  534. 17:48and I've seen all the stuff you've
  535. 17:49brought back. PG& is a water utility."
  536. 17:52I'm like, "What?" He goes, "Yeah." I go,
  537. 17:55"And I'm from Kansas and I know who PG&
  538. 17:59is. They're ginormous utility." He's
  539. 18:01like, "What?" So that's how the whole
  540. 18:05thing began. And so it was through my
  541. 18:08record search at the water board.
  542. 18:11That's when I started discovering in
  543. 18:14writing reports that the area was
  544. 18:18contaminated with a chemical known as
  545. 18:22hexavalent chromium.
  546. 18:24>> Wow. Bring it up. Let me see it right
  547. 18:26there. Hankley groundwater contamination
  548. 18:29uh PG&E Pacific Gas and Electric used
  549. 18:32chromium 6 or hexavalent chromium a
  550. 18:35cheap and efficient rust suppressor.
  551. 18:37>> Correct. in its compressor station for
  552. 18:39natural gas transmission pipelines.
  553. 18:41Hexavilent chromium compounds are
  554. 18:43genotoxic carcinogens.
  555. 18:46>> What does that mean? Genotoxic.
  556. 18:48>> And they're mutagenic. They can affect
  557. 18:50the the genes
  558. 18:51>> and and they can be passed on.
  559. 18:52>> Correct.
  560. 18:53>> Oh my gosh.
  561. 18:54>> And you can see tricom 7 and different
  562. 18:57um diseases like that in the children.
  563. 19:00See, and I was seeing a pattern of nasal
  564. 19:02ferenal cancer, throat cancer, lung
  565. 19:06cancer, kidney cancer.
  566. 19:08>> Got it.
  567. 19:09>> So, as I started, we could at this point
  568. 19:12getting a year into it, Ed can clearly
  569. 19:14see what's going on. Now, what had
  570. 19:17happened with PG was again, as I said
  571. 19:20earlier, they were holding like these
  572. 19:22town hall meetings and they were telling
  573. 19:25everybody, and again, talk about unfair.
  574. 19:28Mhm.
  575. 19:28>> They were telling everybody that it was
  576. 19:32chromium in their water, which is a
  577. 19:34natural element, and it's good for you.
  578. 19:37You can find it in your breakfast
  579. 19:38cereal.
  580. 19:39>> Wow.
  581. 19:39>> They weren't telling him that it was
  582. 19:41hexavalent chromium, and it was a
  583. 19:44poison.
  584. 19:45>> Damn.
  585. 19:46>> And so, as all this data started getting
  586. 19:49put together, and I put together what's
  587. 19:50a I call a hot duck book. Mh.
  588. 19:53>> So, as a dyslexic, I'm here and I don't
  589. 19:56take numbers in the environment like 5
  590. 19:59ppm and calculate forward. I always
  591. 20:02calculate backwards. And I needed to go
  592. 20:05find those higher numbers in time to
  593. 20:08prove what they had been exposed to over
  594. 20:1020, 30 years.
  595. 20:11>> Wow. So, as I started getting into my
  596. 20:14record searches, I create these hot dog
  597. 20:16books, which is like almost a trial
  598. 20:18notebook, which I'm just doing
  599. 20:19instinctually because I'm just trying to
  600. 20:21put the pieces together myself
  601. 20:23>> to you.
  602. 20:24>> Yes.
  603. 20:24>> Wow.
  604. 20:25>> Yes.
  605. 20:26>> And by doing that, you're putting
  606. 20:27together a great case.
  607. 20:29>> Yeah. Unbeknownst to me.
  608. 20:30>> Got it.
  609. 20:31>> And you know, I was just out there every
  610. 20:32day of my life was like, nah, this
  611. 20:34doesn't make sense to me. And this was a
  612. 20:37huge cover up. And this is where I've
  613. 20:40said, you know, people would have dealt
  614. 20:43with the truth. Hey,
  615. 20:45>> we need to get you out of here. We're
  616. 20:46poisoning you. But it was the lie that
  617. 20:48becomes so insidious that you just drag
  618. 20:51them through that.
  619. 20:52>> But once Ed realized
  620. 20:56this was a lawsuit,
  621. 20:58>> he had to go hire a couple more
  622. 21:00attorneys because he was about broke
  623. 21:03borrowing money against his house to
  624. 21:05keep things going.
  625. 21:06>> Wow. So he started to believe in it that
  626. 21:08much.
  627. 21:08>> That much. Wow.
  628. 21:09>> Yeah. And so he found two other law
  629. 21:11firms. That was Instrom, Lipkcomman, and
  630. 21:13Lac um was the head attorneys there. And
  631. 21:17um
  632. 21:19we had a lawsuit and we had 634
  633. 21:22plaintiffs. And it was filed as a direct
  634. 21:26action, not a class action. Because in a
  635. 21:31direct action, everybody's damages were
  636. 21:35different. Some people were closer to
  637. 21:38the P Genie facility where they had
  638. 21:40higher readings in their wells. Some
  639. 21:42were further away where we couldn't
  640. 21:44prove that the plume had gone through
  641. 21:47yet. So, we filed a direct action.
  642. 21:50>> And just to go back real quick, the the
  643. 21:52the the hexa
  644. 21:54>> hexavillent
  645. 21:54>> hexavillent chromium, what was it in
  646. 21:56there? It was in there to prevent rust
  647. 21:58from from the pipes from rusting.
  648. 22:00>> It's an anti- rust inhibitor. So, um, it
  649. 22:04was a gas compressor facility. So,
  650. 22:07actually there was other cases that I
  651. 22:10went and backtracked and found later,
  652. 22:11but from Topac, California, they're
  653. 22:13pushing and pulling natural gas out of
  654. 22:15Texas.
  655. 22:16>> Understood.
  656. 22:16>> And then it would go from Topac,
  657. 22:18California to Barstow. And then in
  658. 22:20Barstow, it would get pushed and pulled
  659. 22:22up to Kettleman. And so the think of it
  660. 22:25like the engine of your car. And these
  661. 22:27facilities are big, huge piston engines
  662. 22:29pushing and pulling this gas through.
  663. 22:32And so they have to run water through
  664. 22:34the system so it doesn't seize to
  665. 22:36operate.
  666. 22:37>> Wow.
  667. 22:38>> And these chemicals have like chromium 6
  668. 22:40is an anti- rust inheritor because if
  669. 22:43you don't have it, rust will corrode the
  670. 22:45pipes, right?
  671. 22:47>> And then they would take all the used
  672. 22:51water through the system and dump it
  673. 22:54into unlined ponds.
  674. 22:57>> So it goes right back into the soil,
  675. 22:59>> right back into the aquifer. right back
  676. 23:01in the in the what
  677. 23:01>> aquafer the water zone.
  678. 23:03>> Yeah. And uh and now I see how this the
  679. 23:06data centers came on your radar because
  680. 23:08that's sort of the same thing. They're
  681. 23:09using this they there's a similar thing
  682. 23:11that kind of happens is they use so much
  683. 23:13water to cool off what's going on. So I
  684. 23:16just I now I kind of correlate like okay
  685. 23:19this makes perfect sense why her
  686. 23:21involvement. Right.
  687. 23:22>> There's a whole lot of things about data
  688. 23:24centers and I know we'll get there. I'll
  689. 23:25stay on your pace. That set me off. And
  690. 23:28that that was one of them.
  691. 23:30>> Yeah. And we will we're almost we're
  692. 23:32almost to data centers. Um
  693. 23:35>> but what what was what was one of the
  694. 23:37toughest parts about going after a
  695. 23:38company that big? Like did you start to
  696. 23:40get scared? Did you personally get
  697. 23:42scared? Was there times you were laying
  698. 23:43in bed at night? I mean like they
  699. 23:45somebody might try to take you out like
  700. 23:46how heavy did it get really?
  701. 23:48>> People brought that up and I I didn't
  702. 23:51kind of go there until one day. Um, I
  703. 23:56was stealing
  704. 23:58toxic hazardous waste offsite.
  705. 24:00>> You were stealing it?
  706. 24:01>> Yeah.
  707. 24:02>> Oh, you were pulling up somewhere that
  708. 24:03had it?
  709. 24:03>> Oh, I'm a bad guy. I'm stealing the
  710. 24:05toxic hazardous waste. Okay.
  711. 24:08>> So, just
  712. 24:08>> but I was
  713. 24:09>> to have evidence.
  714. 24:10>> Yes.
  715. 24:10>> Got it.
  716. 24:11>> Okay. So, I'm sorry I stole your
  717. 24:13two-headed frog and a bunch of green
  718. 24:15[ __ ] soil. Sue me. So, Pineie called
  719. 24:20the cops and I was going to get
  720. 24:22arrested. I'm standing with my
  721. 24:25two-headed frog and my little file, you
  722. 24:27know, my little what do you call it?
  723. 24:29Igloo. Because I knew to keep things
  724. 24:32cool, I had my chain of custody writing
  725. 24:34everything down.
  726. 24:35>> You really had one in an igloo.
  727. 24:37>> Yeah.
  728. 24:37>> Wow.
  729. 24:38>> So
  730. 24:40I I'm like, "Are you arresting me?" I
  731. 24:42said, "Can I at least call my attorney?"
  732. 24:43So I called Ed. And Ed goes, "Wait a
  733. 24:47minute. You're going to arrest her for
  734. 24:49what?" And they're they're telling him,
  735. 24:51he goes, "You know what?
  736. 24:53>> Let him
  737. 24:54>> do it." [clears throat]
  738. 24:55And I'm going, "What the fuck?"
  739. 24:57>> Then it's [laughter] on file.
  740. 24:59>> What the [ __ ] Ed? Anyway, he said, "You
  741. 25:02do it. You do it because it's going to
  742. 25:04be headline news that I want you to
  743. 25:06arrest this girl for what? Stealing
  744. 25:09two-headed frogs from a polluted site?
  745. 25:12Do it." And they let me go. And I call
  746. 25:15that and I'm like, "Were you really
  747. 25:16going to have me arrest?" He goes, "Oh,
  748. 25:17hell yeah. I would have had you out in 5
  749. 25:18minutes." So kiddo, don't worry about
  750. 25:20her. Wow.
  751. 25:21>> God,
  752. 25:22>> what a journey.
  753. 25:24>> So,
  754. 25:25>> and how did he work afterwards with the
  755. 25:26plaintiffs? So, the the plaintiffs,
  756. 25:29there was over $330 million awarded and
  757. 25:31that was divided up between the
  758. 25:32different families at certain amounts,
  759. 25:34etc.
  760. 25:34>> Yeah. So, done as a direct action. So
  761. 25:38people who live way out from a plume
  762. 25:41boundary received awards for fear of
  763. 25:45cancer versus the people that lived
  764. 25:47there 35 years right next to the
  765. 25:50facility that were exposed to high
  766. 25:52levels that had cancer. And so the the
  767. 25:56judges made all those rulings based on
  768. 25:59the facts surrounding their particular
  769. 26:02case.
  770. 26:04>> Oh [sighs]
  771. 26:04wow. That's pretty amazing. What a
  772. 26:07journey, huh? Did you know at the time
  773. 26:09that it was going to become such a big
  774. 26:10thing? You you had no idea.
  775. 26:12>> No.
  776. 26:12>> Wow.
  777. 26:13>> None. It was just one of those moments
  778. 26:15for me that
  779. 26:18this just it just didn't make sense to
  780. 26:20me and it just wasn't right. And I felt
  781. 26:22bad for the people. And listen, they
  782. 26:24became my family. I mean, half of the
  783. 26:27group up there helped potty train my
  784. 26:29youngest daughter, Elizabeth. A
  785. 26:30>> and and I loved them. And it just didn't
  786. 26:33make sense.
  787. 26:34>> Yeah.
  788. 26:36I've lived around a bad rooster
  789. 26:39and it's it can be a lot. The rooster's
  790. 26:42his brain isn't organized with the sun
  791. 26:44or whatever and he'll be doodleing at
  792. 26:47dang 3:00 a.m. or whatever. You're up
  793. 26:49making eggs. You don't you know you're 5
  794. 26:51hours early to work it. You know, if
  795. 26:53you're a rooster that just does its own
  796. 26:55thing, baby, that's a power move. And
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  834. 28:51I think a lot of us are in that place
  835. 28:53right now where it's like yeah some
  836. 28:54things it just just doesn't make sense
  837. 28:57and what do we do and how do we do it?
  838. 29:00Um well you know and
  839. 29:03Roberta faced that and I I will share
  840. 29:05with you in every environmental case
  841. 29:07that I work with it generally is a mom
  842. 29:10that knows something's up but isn't sure
  843. 29:12what's up. But what frustrates these
  844. 29:15mothers is when they do show up, whether
  845. 29:18it be somebody at the state or a
  846. 29:20politician or a leader that they need
  847. 29:22information from or city council,
  848. 29:24they're suppressed. They get the, "Oh,
  849. 29:26you're hysterical mother. There's
  850. 29:28nothing really going on." And so they
  851. 29:31retreat and they feel defeated.
  852. 29:34>> So that suppression is something that
  853. 29:36happens at the very beginning. And then
  854. 29:39then when that mom gets another mom,
  855. 29:42then they're like, you I don't try to
  856. 29:44suppress me because I know something's
  857. 29:46wrong. And again, we're going to go back
  858. 29:48to I don't have to have I don't have to
  859. 29:50have the degree or be qualified to sit
  860. 29:54on your city council board and I'm an
  861. 29:56idiot that they come back in armed with
  862. 30:00information. Let's go.
  863. 30:01>> And so that's generally what I do.
  864. 30:03They're usually right, but I can go find
  865. 30:06stuff that I can arm them with. Here's
  866. 30:08what you need. Here's what's going on.
  867. 30:10This is what's a fact. And then they
  868. 30:12join forces with the other mothers and
  869. 30:14they become unbelievably formidable.
  870. 30:17>> Do you believe that mothers still have
  871. 30:18as much power now as they did like at
  872. 30:21the time like of uh of when this story
  873. 30:23started for you?
  874. 30:24>> Yes. Uh you know, I've seen it
  875. 30:25throughout in Flint, Michigan, the whole
  876. 30:28lead crisis, even down in the BP oil
  877. 30:30spill. Look, I'm scared of some of those
  878. 30:32mothers. I'm like, but Ed, would you say
  879. 30:34you go in there and talk to her? I'm
  880. 30:35like, no, that one scares me. You go in
  881. 30:37there and talk to her because they know
  882. 30:40and they don't want to hear it anymore.
  883. 30:41So,
  884. 30:41>> the swamp mama down there that gets
  885. 30:43upset. Um, well,
  886. 30:44>> but I'm seeing them come back and I I'm
  887. 30:46going to jump ahead and then I'll stop
  888. 30:49just so you'll have it in your memory,
  889. 30:50too.
  890. 30:52>> They're the ones showing up on the data
  891. 30:53centers. Well, one of the things that uh
  892. 30:56put you on my radar, I mean, obviously I
  893. 30:58knew of you, but what put you on my
  894. 30:59radar was you wrote an article. It was
  895. 31:02like, if data centers aren't so bad, why
  896. 31:05are they building them in secrecy? I
  897. 31:07think
  898. 31:07>> correct. Everything begins with that
  899. 31:09secret. Even Hinckley, California.
  900. 31:11>> Amen. Well, what hit me about it, yeah,
  901. 31:13if data centers are so great, why are
  902. 31:14they being built in secret?
  903. 31:16>> Yeah, that was in Substack, the
  904. 31:18Brochovich report. And you talked about
  905. 31:20the biggest one which is built in
  906. 31:21Louisiana uh in the flat lands. It says
  907. 31:24right here in the flat lands of
  908. 31:25northeast Louisiana known for soybean
  909. 31:27fields um and dense clusters of
  910. 31:29rivercane. Meta is building a 4 million
  911. 31:33square foot AI campus called Hyperion.
  912. 31:35When finished, it will consume more
  913. 31:37electricity than the entire city of New
  914. 31:39Orleans and cover a footprint the size
  915. 31:41of lower Manhattan. Uh, and then it says
  916. 31:45here, Meta's investment establishes the
  917. 31:47region as an anchor in Louisiana's
  918. 31:49rapidly expanding tech sector,
  919. 31:51revitalizes one of our state's beautiful
  920. 31:53rural areas, and creates opportunities
  921. 31:55for Louisiana workers to fill
  922. 31:57high-paying jobs of the future, said
  923. 31:59Louisiana Governor Jeff Landry in a
  924. 32:01press statement. I thank Meta for their
  925. 32:03commitment to our state. Um, and what
  926. 32:06shocked me here though was, uh, a
  927. 32:09resident of Holly Ridge, an
  928. 32:10unincorporated community in Richland,
  929. 32:12Richland Parish, uh, said she found out
  930. 32:15about the data center the way everyone
  931. 32:17else in her community did when they
  932. 32:19started digging.
  933. 32:20>> Correct.
  934. 32:20>> And I was like, oh, she says nobody told
  935. 32:22us anything.
  936. 32:23>> Correct.
  937. 32:24>> They supposedly had a big meeting. The
  938. 32:25whole community was supposed to come.
  939. 32:27Nobody knew anything about it ever.
  940. 32:29>> Correct.
  941. 32:30>> Um, but how did data centers come onto
  942. 32:32your radar?
  943. 32:33>> [snorts]
  944. 32:33>> So um I woke up one morning and I had 30
  945. 32:36emails 30 individual emails from the
  946. 32:39same community regarding the same issues
  947. 32:41data centers. Wow.
  948. 32:43>> So having done this for 30 years now
  949. 32:45anytime I get a cluster of emails that's
  950. 32:47a sign. And then I was like data centers
  951. 32:50it was almost a moment like in Hinckley
  952. 32:52California
  953. 32:54chromium what is that data centers?
  954. 32:56what's going on with data centers that I
  955. 32:59started looking into it and
  956. 33:03things I don't know my questions weren't
  957. 33:06being answered about data centers. So
  958. 33:08what I do is I like to see the big
  959. 33:11picture
  960. 33:12>> and I like to create maps. So I created
  961. 33:16what's called brachovichdatacenter.com
  962. 33:19where people if they were having issues
  963. 33:22with data centers in their backyard
  964. 33:25could self-report
  965. 33:27>> and I've created self-reporting registry
  966. 33:29databases before. Think about it. We
  967. 33:32have no place where we can self-report.
  968. 33:34Everything that we report goes through
  969. 33:36an agency. Wow.
  970. 33:37>> Even in Hinckley, California. And it got
  971. 33:39stuck up in the California Health
  972. 33:41Department. Nobody ever knew. And so
  973. 33:43many agencies are compromised anyway
  974. 33:44now. So why not create our own? This is
  975. 33:46amazing.
  976. 33:47>> And this is a place where people who I
  977. 33:50believe that are living, breathing, and
  978. 33:54experiencing these issues are the best
  979. 33:56source of information. So what I thought
  980. 34:00when I put this map out here in the
  981. 34:02first 72 hours, the map crashed twice.
  982. 34:06And I woke up on day three going, "Oh my
  983. 34:09god, it's not one town and one aquifer
  984. 34:14and one data center. It's the entire
  985. 34:18country."
  986. 34:19>> Wow.
  987. 34:19>> We've talked about Louisiana from the
  988. 34:21Midwest. Now, the next thing that I
  989. 34:24noticed, cuz each one of these people in
  990. 34:26their submission,
  991. 34:28>> it wasn't this one town reporting the
  992. 34:31same thing. It's the whole country. They
  993. 34:33had no idea. They had no idea. They woke
  994. 34:36up to this construction. We weren't
  995. 34:38informed. City council didn't tell us
  996. 34:40anything. We're completely in the dark
  997. 34:43because these big tech groups came in
  998. 34:46and put these city council members u
  999. 34:48members under a non-disclosure.
  1000. 34:50>> Oh, is that what you're
  1001. 34:51>> correct? In every state.
  1002. 34:56>> In every state, every city, every town
  1003. 34:58reporting to me, we knew nothing.
  1004. 35:01Nonisclosure agreements. I just saw a
  1005. 35:03video the other day. See if you can find
  1006. 35:05that, Trevan. It's a woman uh at a city
  1007. 35:08council meeting from Oh, here I see it.
  1008. 35:11So, it says right here. A resident of
  1009. 35:12Tyrone Township, Michigan, confronted
  1010. 35:14local officials with a simple question.
  1011. 35:16Have you signed an NDA with any private
  1012. 35:19party regarding developments that could
  1013. 35:20affect the township? Yeah, this was the
  1014. 35:22clip that I saw. Uh, can we play it?
  1015. 35:25Have you personally signed any NDA, any
  1016. 35:28agreement, or had any private
  1017. 35:29communication such as meetings, phone
  1018. 35:31calls, text messages, or emails with any
  1019. 35:33developer, company, landowner, or
  1020. 35:35representative regarding any current or
  1021. 35:38potential project that could affect
  1022. 35:39Tyrone Township? Chris Roetta.
  1023. 35:42>> Uh, no.
  1024. 35:43>> Dean,
  1025. 35:44>> no.
  1026. 35:45>> Jennifer,
  1027. 35:45>> I'm not answering your question. This is
  1028. 35:47not the time or place.
  1029. 35:48>> It I can ask you whatever I want. Don't
  1030. 35:50tell me what I can say.
  1031. 35:51>> We don't have to answer your question.
  1032. 35:52>> But you're communicating with me,
  1033. 35:53Jennifer. I didn't think you were
  1034. 35:54supposed to do that.
  1035. 35:56>> Greg KS, how about you? Yes or no?
  1036. 35:58>> Not the police.
  1037. 36:00>> We've already discussed this. So,
  1038. 36:02>> who who's already discussed it? I'm
  1039. 36:04sorry. Who's already discussed it?
  1040. 36:05>> It's been discussed.
  1041. 36:06>> Who has? Oh,
  1042. 36:07>> who's discussed it? I've not discussed
  1043. 36:09this with you.
  1044. 36:11>> What are you saying?
  1045. 36:14>> Pam Moffler. Yes or no?
  1046. 36:18[snorts]
  1047. 36:18>> Wow. Pam letting me down.
  1048. 36:22You work for us.
  1049. 36:23>> That's right.
  1050. 36:25>> Herman Ferguson.
  1051. 36:28>> Oh, you Herman boy
  1052. 36:30>> won't answer.
  1053. 36:32>> Zach Tucker.
  1054. 36:33>> Mike, stop. You say guilty one more
  1055. 36:36time.
  1056. 36:36>> You're up.
  1057. 36:37>> Wow.
  1058. 36:38>> I'm not tolerating.
  1059. 36:39>> I And I love that.
  1060. 36:40>> This is what I love. This woman, this
  1061. 36:43mother, the Listen, I just become their
  1062. 36:46biggest cheerleader. You know, this is
  1063. 36:48not my story. Hinckley wasn't my story.
  1064. 36:51It was their story. This is their story.
  1065. 36:53And it becomes all of our stories. And I
  1066. 36:56I love watching moments like that.
  1067. 36:59>> Yeah. Oh, no. I think this is great. I
  1068. 37:00like vigilante stuff. I like somebody
  1069. 37:02who's just like in that moment where
  1070. 37:04it's uncomfortable, you still speak. You
  1071. 37:06speak through that uncomfort, that
  1072. 37:08nervousness, you know, like whatever it
  1073. 37:10is, like you're trying to speak to power
  1074. 37:11and say, "Well, this is what this feels
  1075. 37:13like from here." um how are these big
  1076. 37:17companies able to uh compromise? Um and
  1077. 37:20I'm not sure that these people are
  1078. 37:22compromised. We don't know, right? But
  1079. 37:23it's interesting what uh the
  1080. 37:26conversations she's establishing here.
  1081. 37:28It's interesting some of their answers
  1082. 37:29for sure. Uh but how are some of these
  1083. 37:33tech companies or any companies able to
  1084. 37:35compromise some of these um like smaller
  1085. 37:38area council members etc. do you think
  1086. 37:42>> so? these small rural council members,
  1087. 37:46you know, they don't have a lot of
  1088. 37:47funding and these big companies are
  1089. 37:51coming in and they're talking $10
  1090. 37:53billion.
  1091. 37:55And these council members are very lured
  1092. 37:57by that because, you know, they want to
  1093. 37:59have infrastructure and things like that
  1094. 38:01in their own backyard. and they were
  1095. 38:04kind of misled, but to sign a
  1096. 38:07non-disclosure agreement probably didn't
  1097. 38:08seem like a big deal to them to for a
  1098. 38:11big exchange to the city council and to
  1099. 38:14the community
  1100. 38:16to make all this money to build this
  1101. 38:18center. And then they're lured into
  1102. 38:20thinking it's going to create jobs and
  1103. 38:23long-term economic gain when that's
  1104. 38:25actually not what's happening. But
  1105. 38:28that's the hook.
  1106. 38:29>> Do you think a lot of them are actually
  1107. 38:30So do you think a lot of the council
  1108. 38:31people are actually lied to as well?
  1109. 38:32like it's a
  1110. 38:35>> well apparently they aren't asking a
  1111. 38:37whole lot of questions about data
  1112. 38:39centers and they're just more lured by
  1113. 38:43the money and that's the thing that
  1114. 38:45really fascinated me with the
  1115. 38:46self-reporting map because unbeknownst
  1116. 38:49to all these other communities in
  1117. 38:51different states across the country
  1118. 38:53they're reporting the exact same thing
  1119. 38:55it I'm baffled you're talking all of our
  1120. 38:59city councils talk because I tell people
  1121. 39:02go local.
  1122. 39:03>> Yeah.
  1123. 39:03>> And this is a situation in building data
  1124. 39:06centers, you've got to go local because
  1125. 39:07you need the permitting and the zoning.
  1126. 39:10[clears throat]
  1127. 39:10>> And they're they're lured into this, but
  1128. 39:12that every city council across the
  1129. 39:15United States of America was that lured
  1130. 39:19by money because these facilities are
  1131. 39:21going in every state, multiple counties
  1132. 39:23and cities across the entire country.
  1133. 39:25>> So that was a lot of the reporting you
  1134. 39:26were getting, the self-reporting from
  1135. 39:27people were that
  1136. 39:28>> that was the first thing that made them
  1137. 39:29>> that we didn't know it. Nobody knew.
  1138. 39:31>> Didn't know. How are these companies
  1139. 39:33able to do without people knowing? Like
  1140. 39:35because isn't there like aren't there
  1141. 39:37laws where you have to like
  1142. 39:40you have to say okay this is something
  1143. 39:42that's being planned in our city or in
  1144. 39:43our town and then people are allowed to
  1145. 39:45come. Are did you notice some sort of
  1146. 39:47pattern where they're able to uh
  1147. 39:49manipulate that? Um
  1148. 39:51>> a lot of people are reporting that they
  1149. 39:53thought they were building a warehouse.
  1150. 39:56Ah,
  1151. 39:57>> and so construction begins and they
  1152. 40:00thought it was a warehouse or we're here
  1153. 40:03putting in a solar farm or some other
  1154. 40:06reason. Hey, we're going to build this
  1155. 40:08out because it's great economic base for
  1156. 40:10our community. But as it starts to go
  1157. 40:14from non-disclosure,
  1158. 40:17so we start at proposal like that woman,
  1159. 40:19she was in proposal phase and she was
  1160. 40:22pushing back then, but they wouldn't
  1161. 40:24answer her probably because they'd
  1162. 40:26already saw the non-disclosure and they
  1163. 40:28were getting ready to go into the next
  1164. 40:30phase, construction phase. And it's
  1165. 40:32during a construction phase that people
  1166. 40:34are like, whoa, wait a minute,
  1167. 40:38you're destroying the land. You're
  1168. 40:42cutting down all the trees.
  1169. 40:44>> That's when people notice it.
  1170. 40:45>> Yeah. Right. They're like, "What's
  1171. 40:46happening?"
  1172. 40:46>> Agreed. I mean, I think that's what the
  1173. 40:48same thing that's happened here even
  1174. 40:49locally in Nashville. It's like that's
  1175. 40:51when it started like like it it wasn't
  1176. 40:52in the beginning phase where people even
  1177. 40:54knew what was going on. It's almost like
  1178. 40:56in the too late phase. Um that's what
  1179. 40:58I'm noticing. Yeah. Let me look at this.
  1180. 40:59Spartanberg County data center lawsuit.
  1181. 41:02Residents say $2.8 billion project was
  1182. 41:04wrong.
  1183. 41:05>> There you go.
  1184. 41:05>> Was wrongly classified as minor
  1185. 41:08development.
  1186. 41:09Um, a group of residents uh suing
  1187. 41:12Spartanberg County and Valera Holdings
  1188. 41:14LLC, the company behind a nearly $3
  1189. 41:16billion data center under construction
  1190. 41:18along South Pine Street. Uh, public
  1191. 41:21records show Val A submitted an
  1192. 41:23application to redevelop about 95,000
  1193. 41:26square feet of the former Colar
  1194. 41:28Industrial Plant as a minor land
  1195. 41:30development. The county approved it.
  1196. 41:32Weeks later, the company submitted a
  1197. 41:34second application for phase 2
  1198. 41:35improvements, including four proposed
  1199. 41:37buildings totaling about 494,000 square
  1200. 41:40feet, along with a power yard, internal
  1201. 41:42roadways, electrical equipment, a
  1202. 41:44metering station, mechanical cooling
  1203. 41:46systems, and storm water ponds. The
  1204. 41:49application also was approved as a minor
  1205. 41:51land development. The an attorney said
  1206. 41:54uh they also broke it into two parts.
  1207. 41:56First, they did a smaller application,
  1208. 41:57which was still a big development, and
  1209. 41:59called that minor. So they're saying
  1210. 42:02that they classified it as minor. And
  1211. 42:04obviously that doesn't sound very minor.
  1212. 42:06>> No. And this is this is happening
  1213. 42:09everywhere. First of all, I love how you
  1214. 42:11pull stuff up like that. You and me
  1215. 42:14could work on this [ __ ] together.
  1216. 42:16>> Really?
  1217. 42:16>> I'm just saying we could be trouble.
  1218. 42:18>> Really? What would I do? Do I have to go
  1219. 42:19to court? I can be Attakus Finch.
  1220. 42:21>> I'll be his son.
  1221. 42:23>> You You'll do the
  1222. 42:24>> Ricky Finch.
  1223. 42:25>> You'll steal the two-headed frogs with
  1224. 42:26me. Yeah. Yeah. [laughter] I'll put them
  1225. 42:28in that in that uh
  1226. 42:29>> we'll get this all put in an order that
  1227. 42:32everyone understands. That'd be great.
  1228. 42:35>> I'll put one of them in that frog
  1229. 42:36jumping uh contest that's over there in
  1230. 42:38Louisiana. What What parish is that in
  1231. 42:40over there? Rain over there. The rain
  1232. 42:44frog festival. Now that two-headed frog,
  1233. 42:46he's a little topheavy.
  1234. 42:48>> Yeah, he is a little topheavy. Might not
  1235. 42:50win. But you going back, you know, it's
  1236. 42:52so great to you you kind of to
  1237. 42:55understand what is that the the future,
  1238. 42:57you got to go back in time. So to
  1239. 42:59understand these things, you're going
  1240. 43:00right back in time. It's very dyslexic.
  1241. 43:02Yeah.
  1242. 43:03>> Oh, it's dyslexic thinking. Yeah, that's
  1243. 43:04what we're doing here.
  1244. 43:05>> But to your point about the NDAs,
  1245. 43:08>> they're they're like using shell
  1246. 43:10companies. uh the city council is
  1247. 43:13reszoning, doing different permits for
  1248. 43:16minor changes or a warehouse that
  1249. 43:20they're just expanding on.
  1250. 43:22>> So, they're telling you the truth but
  1251. 43:24not the full truth.
  1252. 43:25>> How do we force these companies to be
  1253. 43:27more transparent? Like what is there
  1254. 43:29what can we do? Well, that's that's a
  1255. 43:32very big question because
  1256. 43:35they have all the money in the world and
  1257. 43:38for smaller communities and city council
  1258. 43:42um I don't know maybe they're gullible
  1259. 43:44but it's pretty hard to turn it down and
  1260. 43:48I think
  1261. 43:50the big companies I think the
  1262. 43:52responsibilities on them by way of
  1263. 43:54example Microsoft has just now announced
  1264. 43:57they're removing all the NDAs
  1265. 44:00they now realize
  1266. 44:02this was a bad way to approach it, but
  1267. 44:05they that is incumbent upon them. They
  1268. 44:07know damn good and well what they're
  1269. 44:09doing, but they're they're the ones that
  1270. 44:12are not transparent.
  1271. 44:13>> You're talking about the NDAs regarding
  1272. 44:14the data.
  1273. 44:15>> I'm talking about the big companies.
  1274. 44:16They're the ones that are not being
  1275. 44:18transparent and then they they mislead
  1276. 44:22possibly all these council members.
  1277. 44:24>> Understood? Yeah. And the council
  1278. 44:25members at some point know their tits in
  1279. 44:27a ringer because
  1280. 44:30they had a not NDA. So now their
  1281. 44:33constituents are like, "Did you know?
  1282. 44:36Did you sign an NDA?" Well, I signed an
  1283. 44:38NDA. I'm not going to tell you I signed
  1284. 44:39an NDA. Now they realize they're in a
  1285. 44:42little quagmire and maybe now they
  1286. 44:44realize they're being lied to. But it's
  1287. 44:47amazing that these big companies, you're
  1288. 44:50talking the biggest companies in the
  1289. 44:51world.
  1290. 44:51>> For sure. I mean, we're talking
  1291. 44:51Microsoft right here. I mean,
  1292. 44:53>> invaded like the entire United States
  1293. 44:55and all of our city councils.
  1294. 44:57>> Well, it's all so organized at such
  1295. 44:59deeper dark absolutely at deeper darker
  1296. 45:02levels. I want to go on two things real
  1297. 45:03quick. For one, and this is just a
  1298. 45:05thought something I thought of. It's
  1299. 45:06funny if you signed an NDA, if somebody
  1300. 45:07asks you, you can't it's like you kind
  1301. 45:10of all you can do is kind of like you're
  1302. 45:11like
  1303. 45:14uh you can kind of only make the letters
  1304. 45:16NDA. Like you can kind of make those
  1305. 45:17sounds like
  1306. 45:20>> there you go. So, so anyway, I just
  1307. 45:22thought that was Yeah,
  1308. 45:25>> there you go. We could make a song out
  1309. 45:27of that for NDAs. [laughter]
  1310. 45:29>> But I Sorry. And that was just
  1311. 45:31ridiculous, I think. But it says right
  1312. 45:32here, in January, Microsoft announced
  1313. 45:34our community first AI infrastructure
  1314. 45:36plan outlining our commitments to the
  1315. 45:38communities where we operate or are
  1316. 45:40seeking to operate data centers. As part
  1317. 45:42of that announcement, we called for
  1318. 45:44greater degree of local transparency.
  1319. 45:46Today, we're sharing that Microsoft has
  1320. 45:48made the decision to end the use of
  1321. 45:49non-disclosure agreements
  1322. 45:50>> everywhere
  1323. 45:51>> with local governments as the next step
  1324. 45:53in our work to deliver that
  1325. 45:54transparency. We're committed to sharing
  1326. 45:56information about our data center plans
  1327. 45:58as openly as possible as we continue to
  1328. 46:00build trust with the communities around
  1329. 46:02the world in which we operate. But do
  1330. 46:04you think that they did this after they
  1331. 46:06already had everything done that they
  1332. 46:08wanted or do you think that they
  1333. 46:09realized, oh, this is backfiring and so
  1334. 46:11we have to backtrack and do it like
  1335. 46:12this?
  1336. 46:12>> I think they tried to get away with it
  1337. 46:14just like PG. Does that question make
  1338. 46:15sense? Okay. Okay.
  1339. 46:16>> So, they don't learn sometimes they
  1340. 46:19don't learn transparency, you know, just
  1341. 46:22[ __ ] say it on the upfront. And this
  1342. 46:24is what I've learned. People will handle
  1343. 46:26that truth. They won't handle the lie.
  1344. 46:28So, I think Microsoft realized what they
  1345. 46:31were not expecting and what nobody in my
  1346. 46:35opinion was expecting was the backlash
  1347. 46:39from the people.
  1348. 46:40>> Amen. And I don't know where that glitch
  1349. 46:43was, but they're like, "Uh, I don't
  1350. 46:45think so." So, that's where they came
  1351. 46:48back in. And you better correct that
  1352. 46:51before you find yourself in some huge
  1353. 46:55litigation.
  1354. 46:56>> Amen.
  1355. 46:56>> And these litigations and when you're
  1356. 46:58talking about something like this and
  1357. 47:00like even in California, you've gone
  1358. 47:02from the water to the fires. They're not
  1359. 47:04selling for $333 million. They're
  1360. 47:06selling for $ 38 billion. So Microsoft
  1361. 47:12I think tried to tried to get those NDAs
  1362. 47:14through and then did not expect the
  1363. 47:18backlash from the people.
  1364. 47:20>> Amen.
  1365. 47:21>> So we the people once again changed the
  1366. 47:24course of direction.
  1367. 47:25>> Yeah. Amen. Um I want to go back to Can
  1368. 47:29you bring up her uh Substack again and
  1369. 47:31thank you for your time today?
  1370. 47:33>> Thanks for having me. It's and thanks
  1371. 47:34for you know this is great. you've got
  1372. 47:37so many followers and it's something
  1373. 47:38that they can learn too and it's
  1374. 47:40probably happening in their own backyard
  1375. 47:41and that you're taking the time to
  1376. 47:44>> walk through this. I love it. Thank you.
  1377. 47:47>> Um well, you're welcome. You're welcome.
  1378. 47:49Um oh uh one of the the things here that
  1379. 47:52in this article it says this was uh
  1380. 47:54Governor uh Jeff Landry and shout out
  1381. 47:57Louisiana. Uh that's my home state. I
  1382. 47:58love it. Um, and it says, "Meta's
  1383. 48:01investment establishes the region as an
  1384. 48:03anchor in Louisiana's rapidly expanding
  1385. 48:05tech sector, revitalizes one of our
  1386. 48:07state's beautiful rural areas, and
  1387. 48:09creates opportunities for Louisiana
  1388. 48:11workers to fill highpaying jobs of the
  1389. 48:13future." Um, do you know what jobs are
  1390. 48:16actually created by data centers?
  1391. 48:19Because I've heard a lot of like mixed
  1392. 48:20results on that. Um, and Trevan, if you
  1393. 48:22can look up anything as well, but Erin,
  1394. 48:25what what do you what do you know about
  1395. 48:27that? construction jobs, electricians,
  1396. 48:31plumbers, construction jobs, and they're
  1397. 48:35they're lured into, you know, the
  1398. 48:37economy hasn't been the best. I think
  1399. 48:39people are concerned about having jobs
  1400. 48:41in the future. You know, we have the
  1401. 48:43whole AI conversation that they're
  1402. 48:45saying there's going to eliminate all
  1403. 48:46the jobs. So these are opportunities
  1404. 48:49for, you know, our industrial workers,
  1405. 48:52plumbers and electricians and masonaries
  1406. 48:55and all of those construction jobs are
  1407. 48:57available and it's a good, you know, one
  1408. 49:00to possibly two-year job. But what
  1409. 49:02they're learning is that's all it is.
  1410. 49:05>> Yeah. But that Yeah. As you're saying
  1411. 49:07that, it reminds me of Dr. Frankenstein.
  1412. 49:09It's like to be building the thing
  1413. 49:11that's going to hypothetically take you
  1414. 49:14over. You know what I'm saying? to be
  1415. 49:16building the like to to sit there and
  1416. 49:18hammer each day building a data center
  1417. 49:20that you think may poison your kids or
  1418. 49:23that may damage the air or like you know
  1419. 49:25like or that could be the thing that
  1420. 49:26takes your job. That's
  1421. 49:28>> I mean it's it's like it's like being
  1422. 49:30trapped in a sci-fi movie.
  1423. 49:31>> It is. And then once that process starts
  1424. 49:34and now you're taking all the trees and
  1425. 49:37all the wildlife and everything away
  1426. 49:40from us, you're you're talking
  1427. 49:44they they needed a job and but it's not
  1428. 49:48going to be a long-term gain for the
  1429. 49:50community, especially if you are a
  1430. 49:52community even like down in Louisiana
  1431. 49:55that relies on tourism to get down in
  1432. 49:58the bayus and in the waters and to hunt
  1433. 50:01and recreate. creation when you [ __ ]
  1434. 50:03destroyed it all. Where is your economic
  1435. 50:05base now?
  1436. 50:05>> Well, it's not the people's fault
  1437. 50:07though.
  1438. 50:08>> No,
  1439. 50:08>> the people like if a man is I have to
  1440. 50:10work to survive to take care of my kids.
  1441. 50:12>> Absolutely. And they're they're
  1442. 50:13supposedly good paying jobs and they're
  1443. 50:16long-term jobs. And so that's that's the
  1444. 50:19the socioeconomic thing that that hooks
  1445. 50:21them.
  1446. 50:22>> But they're long term until it's built.
  1447. 50:23Let me see this.
  1448. 50:24>> And then there's no more jobs.
  1449. 50:26>> Data centers are essentially giant
  1450. 50:27collections of computer service. They
  1451. 50:28typically take up massive spaces and use
  1452. 50:30huge amounts of power and water. but
  1453. 50:31they employ very few people. Uh Meta's
  1454. 50:34newest data center will ultimately
  1455. 50:36create just 500 permanent jobs, though
  1456. 50:39employment will briefly swell to about
  1457. 50:415,000 during construction. Nonetheless,
  1458. 50:44Meta found itself with no shortage of
  1459. 50:45suitors willing to meet its demands. We
  1460. 50:48set out looking for a place where we
  1461. 50:49could expand into gigawatts pretty
  1462. 50:51quickly and really get moving within
  1463. 50:53that community on a large plot of land
  1464. 50:55very quickly, said Rachel Peterson, vice
  1465. 50:58president of data centers for Meta. We
  1466. 51:00looked at finding very very large
  1467. 51:02contiguous plots of land that had access
  1468. 51:04to the infrastructure that we need, the
  1469. 51:06energy that we need, and could move
  1470. 51:08very, very quickly for us. And I'll tell
  1471. 51:11you what else it had access to. I know
  1472. 51:13being from Louisiana.
  1473. 51:15>> Water.
  1474. 51:15>> Water.
  1475. 51:16>> Because that's a wet state, baby. You
  1476. 51:17know what I'm saying, bro? You put Don't
  1477. 51:19even Bro, don't even I wouldn't even dry
  1478. 51:21off in Louisiana, bro. Cuz you you don't
  1479. 51:24>> Yeah, cuz you ain't going to work.
  1480. 51:26>> And dude, the crazy part is there's
  1481. 51:27going to be data and everything now. Now
  1482. 51:29you out there fishing, you catching a
  1483. 51:30flounder or whatever, and they finding
  1484. 51:33gigabytes in its uh lungs or whatever,
  1485. 51:36you know, you just don't know. And it's
  1486. 51:38affecting nature, it's affecting the
  1487. 51:39animals, bro.
  1488. 51:40>> All of those resources will be destroyed
  1489. 51:42to build the data centers.
  1490. 51:44>> I know.
  1491. 51:44>> And so, you know, this came in fast,
  1492. 51:47furious, overnight.
  1493. 51:49And
  1494. 51:51we are watching real time the rise of
  1495. 51:54the people. And I don't think they
  1496. 51:56expected that. And you do believe that?
  1497. 51:58>> Yep. I'm watching it happen everywhere.
  1498. 52:01>> You are?
  1499. 52:02>> Yeah. And they're they're making change.
  1500. 52:04You know, we now have
  1501. 52:04>> Where are you seeing this? Where are you
  1502. 52:05seeing this happen? Because I I I love
  1503. 52:07hearing this and it gives me hope cuz it
  1504. 52:10feels like we're not standing a chance
  1505. 52:13sometimes.
  1506. 52:15>> Uh well, we've shown up in force and and
  1507. 52:17it's not one state, it's all states.
  1508. 52:20We're showing up in a completely
  1509. 52:22bipartisan issue. There's no division
  1510. 52:23here. This is right and left, red and
  1511. 52:27blue. You're taking every resource that
  1512. 52:30every single one of us thrives on and is
  1513. 52:33essential to every one of us. And I
  1514. 52:36don't think they were expecting that.
  1515. 52:38Maybe in one town, one community, not
  1516. 52:40all towns, not all towns. And you know
  1517. 52:45we are now I believe and you can look
  1518. 52:47this up we've got 14 states now looking
  1519. 52:52at bans moratoriums or pauses.
  1520. 52:57Blackstone I believe you can look that
  1521. 53:00up just withdrew their big appellet
  1522. 53:02court lawsuit that because of the
  1523. 53:04opposition they said we're out.
  1524. 53:07>> Hallelujah. the people showed up and
  1525. 53:11they're out. And now we're looking at
  1526. 53:13over 120 municipalities that have put on
  1527. 53:16hey pause moratorum
  1528. 53:20or flat out get out.
  1529. 53:22>> Let's go Aaron. Aaron go bro.
  1530. 53:24>> You can find out all day long over there
  1531. 53:26on your computer.
  1532. 53:27>> Uh with no US state
  1533. 53:29>> best power people. While no US state has
  1534. 53:31an active permanent statewide ban on
  1535. 53:33data centers, lawmakers in at least 15
  1536. 53:35states are actively considering or
  1537. 53:37advancing temporary moratoriums. These
  1538. 53:39pauses allow states to study the impact
  1539. 53:41of facilities on power grids and water
  1540. 53:44supplies.
  1541. 53:45>> And then it is the cities like in
  1542. 53:48California, Monterey, Mterrey Park city
  1543. 53:53banned them. Amen. Cities are banning
  1544. 53:55them. So you got the 14 15 states, but
  1545. 53:59inside those states, state by state,
  1546. 54:01county by county, ban, pause, moratorum,
  1547. 54:05and you've got over 120 municipalities
  1548. 54:09now under pauses, moratoriums, or bans.
  1549. 54:12>> Let's check this right here. State level
  1550. 54:14legislative activities. Several states
  1551. 54:16are actively debating or have introduced
  1552. 54:18statewide moratorum legislation. A list
  1553. 54:20of those uh main lawmakers passed a
  1554. 54:23temporary construction moratorum. Uh,
  1555. 54:26but it was vetoed by Governor Janet
  1556. 54:28Mills. I just met Janet Mills last week
  1557. 54:30>> at the Billy Strings concert. What does
  1558. 54:32that mean? It was vetoed.
  1559. 54:34>> She said no. She's going to let the data
  1560. 54:36centers come in, but communities are
  1561. 54:38pushing back. So, on my map, we're
  1562. 54:40showing legislative um issues that have
  1563. 54:43failed or paused or on hold in the map.
  1564. 54:47>> Bring Bring that up. Sorry to interrupt
  1565. 54:48you. Bring that up real quick. I just
  1566. 54:49want to give Let me see. Yeah. Maine
  1567. 54:52Governor Janet Mills um vetoed LD307, a
  1568. 54:56bill that would have instituted the
  1569. 54:57nation's first statewide moratorium on
  1570. 54:59certain large-scale data center
  1571. 55:01developments. While agreeing that a
  1572. 55:02pause was generally appropriate due to
  1573. 55:04energy and environmental concerns, she
  1574. 55:06vetoed the legislation because it failed
  1575. 55:08to carve out an exemption for a $550
  1576. 55:11million redevelopment project at the
  1577. 55:13former Androscoan Mill in J Maine. Um it
  1578. 55:18says right here, the JMA exception.
  1579. 55:19Mills favored allowing the data center
  1580. 55:22at the shuttered paper mill in Jay to
  1581. 55:24proceed, citing the potential to create
  1582. 55:25over 800 construction jobs, at least 100
  1583. 55:28permanent highpaying positions, and
  1584. 55:31substantial property tax revenue for the
  1585. 55:33town. H yeah. No, she was originally
  1586. 55:37supposed to ban the data centers by the
  1587. 55:39state, but she came back in and said she
  1588. 55:41wasn't going to do that. But that's when
  1589. 55:43she made a change because a lot of them
  1590. 55:45the state's given them all these tax
  1591. 55:47incentives. She took that away.
  1592. 55:49>> Yeah. Again, it says here, uh, Governor
  1593. 55:50Jenny Mills supports regulatory
  1594. 55:52oversight for large-scale data centers,
  1595. 55:55but firmly opposes blanket development
  1596. 55:57bans that could hard lo that could harm
  1597. 56:00local economic revitalization. Uh, while
  1598. 56:03she acknowledges the valid environmental
  1599. 56:04and grid concerns associated with
  1600. 56:06massive tech facilities, her approach
  1601. 56:08prioritizes a balanced framework over a
  1602. 56:10statewide moratorum. I see. So, she's
  1603. 56:12just trying to think of it more of as a
  1604. 56:14case-byase basis, I guess. So most
  1605. 56:16states are now wanting to know, oh whoa,
  1606. 56:19wait a minute, how much water are you
  1607. 56:21going to use, right? What does this
  1608. 56:23entail? What does it mean for the safety
  1609. 56:25and the future of our environment? So
  1610. 56:28you are seeing the pauses, moratoriums
  1611. 56:31for one and two years and some
  1612. 56:33communities like in Texas, they just the
  1613. 56:35the local county flat out banned them.
  1614. 56:38You're not building one in our county.
  1615. 56:40So in every state you've got multiple
  1616. 56:42cities and counties and they have their
  1617. 56:44own ordinances and rules so they can
  1618. 56:46stop them.
  1619. 56:47>> I see. So it can be
  1620. 56:48>> but by the state may not.
  1621. 56:49>> So it can be stopped at different
  1622. 56:50levels.
  1623. 56:51>> Yes. And you're seeing many counties
  1624. 56:52like Monterey Park is a city within
  1625. 56:55California.
  1626. 56:56>> So think of it as your upper level state
  1627. 56:59>> going down to cities going down to local
  1628. 57:03councils and
  1629. 57:05>> counties.
  1630. 57:06>> They run in they have like a tier.
  1631. 57:08>> Got it. Yeah. So the local can say [ __ ]
  1632. 57:12you,
  1633. 57:12>> but we're also
  1634. 57:13>> but the state might not take that
  1635. 57:14position,
  1636. 57:15>> right? But we also saw I mean from the
  1637. 57:16beginning of this conversation, we saw
  1638. 57:18that local uh was a spot where people
  1639. 57:20were getting compromised a lot also. So
  1640. 57:22um yeah, but there's different levels
  1641. 57:24where where you can have push back.
  1642. 57:27>> Oh yeah. And they showed up at the local
  1643. 57:29level and the opposition was
  1644. 57:31significant. So in uh Utah in Boxelder
  1645. 57:35County and that's been on the news a
  1646. 57:37lot. Uh it was um Kevin Olirri was
  1647. 57:41coming in with a ginormous data center
  1648. 57:44and the people showed up in protest big
  1649. 57:47time.
  1650. 57:47>> Oh, I saw that.
  1651. 57:48>> And the three box elder county guys let
  1652. 57:50it come through anyway. So the governor
  1653. 57:54came back in because of the opposition
  1654. 57:58from the people and reduced the chemol's
  1655. 58:02facility and the exact numbers I I don't
  1656. 58:05quote me on this but almost cut it in
  1657. 58:08half if not three quarters and
  1658. 58:11because of the opposition he had to do
  1659. 58:14something and then just recently their
  1660. 58:18house speaker the senator
  1661. 58:21>> Fox lost because of the whole opposition
  1662. 58:25to these data centers and all three
  1663. 58:28council members no longer out. So,
  1664. 58:31>> let's go.
  1665. 58:32>> It's really interesting and like Fesus,
  1666. 58:35Missouri, you voted them in, vote them
  1667. 58:37out.
  1668. 58:37>> They voted all their council out. So,
  1669. 58:39this is like I think something
  1670. 58:42politicians should really be looking at.
  1671. 58:44>> The opposition is strong enough. And
  1672. 58:46again, in my entire career, in 30 years,
  1673. 58:49I've never seen something bipartisan
  1674. 58:51this united that everybody better be pay
  1675. 58:54paying attention to because I think
  1676. 58:56people you are pushing people too far at
  1677. 59:00this point. You're taking their water,
  1678. 59:02their air is jeopardized, their land is
  1679. 59:05jeopardized, their farmland is
  1680. 59:06jeopardized, their sanctuary is
  1681. 59:08jeopardized, their wildlife is
  1682. 59:10jeopardized, the trees, the rivers, the
  1683. 59:12creeks, the birds, all of it. It's a
  1684. 59:14stake too high, including their health.
  1685. 59:16>> Yeah.
  1686. 59:17>> And they're just showing up. And it's
  1687. 59:20enough.
  1688. 59:21>> Amen.
  1689. 59:21>> And I think some some of our leaders
  1690. 59:24should look at that. You know, they are
  1691. 59:27going to vote people out. And
  1692. 59:30>> you're you've put the squeeze on us.
  1693. 59:32It's too much. You're you're taking all
  1694. 59:34of the natural resources. And the next
  1695. 59:37thing that people are reporting, their
  1696. 59:39electric bills, who's paying for this?
  1697. 59:42They are. Well, let's go into some of
  1698. 59:44that. Are you s What information are you
  1699. 59:46seeing about that? And Kevin, while we
  1700. 59:47discuss this, can you look up um who
  1701. 59:50voted to approve that uh that data
  1702. 59:53center in Louisiana? I want to know
  1703. 59:55>> council.
  1704. 59:55>> Who was it?
  1705. 59:56>> It's going to be local council.
  1706. 59:58>> Okay. A local council. I just want to
  1707. 59:59know the names of the of the people that
  1708. 1:00:01voted yes on it. Got it.
  1709. 1:00:03>> So, we are definitely seeing local
  1710. 1:00:06opposition winning local municipalities,
  1711. 1:00:10counties.
  1712. 1:00:10>> Really like an example. Well, one of the
  1713. 1:00:12exa a big one is the Prince William
  1714. 1:00:15Digital Gateway Data Center project.
  1715. 1:00:18Huge, by the way, and that was
  1716. 1:00:20Blackstone
  1717. 1:00:21and it was in the appellet courts.
  1718. 1:00:23They've withdrawn.
  1719. 1:00:24>> Okay.
  1720. 1:00:25>> And the project is now dead because of
  1721. 1:00:27the opposition of the people.
  1722. 1:00:29>> Wow. The Court of Appeals, it says right
  1723. 1:00:30here, Prince William Digital Gateway
  1724. 1:00:32Data Center project officially dies. The
  1725. 1:00:34Court of Appeals affirmed on all uh an
  1726. 1:00:38August 2025 decision um by William
  1727. 1:00:41Circuit Court Judge Kimberly in favor of
  1728. 1:00:44the Oak Valley Homeowners Association,
  1729. 1:00:4611 other Gainesville Landowners. Uh
  1730. 1:00:49okay. After a legal battle that lasted
  1731. 1:00:51more than 2 years, the controversial
  1732. 1:00:53Prince William Digital Gateway, a
  1733. 1:00:54proposed 23 million square foot data
  1734. 1:00:57center complex planned on 2100 acres
  1735. 1:01:00near Manassas National Battlefield Park
  1736. 1:01:02is officially dead. That's incredible.
  1737. 1:01:05Well, I you know, that's the thing that
  1738. 1:01:06gets
  1739. 1:01:07>> the power of people.
  1740. 1:01:07>> Yeah. I mean, it is the power of the
  1741. 1:01:09people, Aaron. Well, that's what gets
  1742. 1:01:10you about Louisiana. It's like our state
  1743. 1:01:13is uh it's all our state is all about
  1744. 1:01:15nature. It's all about being able to
  1745. 1:01:17fish out there and
  1746. 1:01:18>> water [clears throat] or water. water.
  1747. 1:01:20So that's what they're there for.
  1748. 1:01:21>> Absolutely.
  1749. 1:01:22>> So that's why the largest one in
  1750. 1:01:23America, they want to do it there in
  1751. 1:01:24Louisiana. Yeah. Can you pull up who who
  1752. 1:01:27voted for and against it? Um okay, we
  1753. 1:01:30have right here uh they had Eric
  1754. 1:01:33Skeretta. This is for Jean Paul JP Kusan
  1755. 1:01:38out of district 2. And then we got Mike
  1756. 1:01:41Francis. Yeah. There Mike Franc.
  1757. 1:01:47And then who the they voted Ford and who
  1758. 1:01:50voted against it? Devonte Lewis.
  1759. 1:01:57That's wild, bro. Uh yeah. Just curious,
  1760. 1:01:59man. Just curious. Um
  1761. 1:02:01>> so I think what's happening a this has
  1762. 1:02:04happened so fast. It was just like
  1763. 1:02:06everybody will tell you it felt like an
  1764. 1:02:08invasion. Just stealth bombers coming in
  1765. 1:02:09in the middle of the night.
  1766. 1:02:10>> The data centers you mean?
  1767. 1:02:11>> Yeah. The data centers. And they were
  1768. 1:02:13just here. And I think even council
  1769. 1:02:16members were quickly wooed non DAS and
  1770. 1:02:19are now again stepping back and going
  1771. 1:02:22wait a second that's a good point
  1772. 1:02:24>> I need more information here
  1773. 1:02:27>> but
  1774. 1:02:28>> at the onset I think the thing that's so
  1775. 1:02:30frustrating for the people or or why I
  1776. 1:02:32don't understand
  1777. 1:02:34>> you as city council members or any
  1778. 1:02:38legislative body or office why do you
  1779. 1:02:42not Listen to your constituents.
  1780. 1:02:47>> What sign is it that you're missing?
  1781. 1:02:48It's not one showing up. It's a hundred.
  1782. 1:02:52It's a thousand. And disregarding your
  1783. 1:02:55constituents
  1784. 1:02:57opinions.
  1785. 1:02:58>> Well, it's so funny you say that. I
  1786. 1:02:59think it's interesting. People get into
  1787. 1:03:01positions of like power and like elected
  1788. 1:03:03positions, right? and they start
  1789. 1:03:05listening uphill like, "Oh, this is
  1790. 1:03:08where the better information is coming
  1791. 1:03:09from because this is how I get invited
  1792. 1:03:11to like a dinner party or, you know,
  1793. 1:03:14maybe you get invited to eat a special
  1794. 1:03:15box of croissants or something somewhere
  1795. 1:03:17or somebody cut you off a beautiful
  1796. 1:03:20sausage you never had or something and
  1797. 1:03:22that's your ear starts to turn like,
  1798. 1:03:24"Oh, well, this is where the true
  1799. 1:03:26information comes from."
  1800. 1:03:27>> No, the true information always comes
  1801. 1:03:29from the ground and the people
  1802. 1:03:31>> up from the roots, baby. That's where
  1803. 1:03:33the roots at. Hey, the roots. That's why
  1804. 1:03:35they grow that way.
  1805. 1:03:36>> That's where it comes from.
  1806. 1:03:37>> Out the mud.
  1807. 1:03:39>> But I think it's interesting that you
  1808. 1:03:40say I didn't like of course Louisiana
  1809. 1:03:43because of the water. Water.
  1810. 1:03:44>> That's it. Um what what let's get to
  1811. 1:03:47some clarity on the water issue and on
  1812. 1:03:49nature. What truth do we know and what
  1813. 1:03:53information is out there about uh how
  1814. 1:03:56data centers actually use water and what
  1815. 1:03:58effects that they have on nature? Like
  1816. 1:04:01do we have what information do we really
  1817. 1:04:03have?
  1818. 1:04:04>> Well, it's the amount of water that it
  1819. 1:04:06takes to cool the data center. So, if
  1820. 1:04:08it's a smaller data center, it could be
  1821. 1:04:115 million gallons of water a day.
  1822. 1:04:13>> Little baby center, bro.
  1823. 1:04:14>> Right. But if it's a big data center,
  1824. 1:04:17you could be talking 30 million gallons
  1825. 1:04:20of water. Millions and millions of
  1826. 1:04:23gallons of water
  1827. 1:04:25that they have to use a day.
  1828. 1:04:26>> A day
  1829. 1:04:27>> to cool. Yeah.
  1830. 1:04:28>> Let's see this. A typical medium-sized
  1831. 1:04:30data center consumes about a 100 million
  1832. 1:04:32gallons of water annually. That's
  1833. 1:04:34medium-sized.
  1834. 1:04:36Uh roughly 300,000 to 500,000 gallons
  1835. 1:04:40per day. However, large hypers scale
  1836. 1:04:42campuses can guzzle up to 5 million
  1837. 1:04:45gallons per day. So, that's off.
  1838. 1:04:47>> And there's some 30 million gallons in
  1839. 1:04:48there.
  1840. 1:04:49>> Um
  1841. 1:04:50>> you can find those around. You can you
  1842. 1:04:52can even just Google that.
  1843. 1:04:54>> I believe it was in Georgia 30 million
  1844. 1:04:56gallons of water was missing from one of
  1845. 1:04:57them. Well, people probably come and get
  1846. 1:05:00you a little of that Georgia water. Get
  1847. 1:05:02you a swig of it. It's probably 30
  1848. 1:05:04proof. A massive quality technology
  1849. 1:05:06services QTS data center in Fagatville,
  1850. 1:05:08Georgia drained nearly 30 million
  1851. 1:05:10gallons of water without paying or
  1852. 1:05:12alerting the county,
  1853. 1:05:13>> but we don't know if it was a day, but
  1854. 1:05:14still it's a lot. That's a lot.
  1855. 1:05:16>> That's a lot. Yeah.
  1856. 1:05:17>> And no, there are there are some out
  1857. 1:05:19there and we can we can look them up.
  1858. 1:05:21But if you have all these
  1859. 1:05:23>> process what's the process of the use of
  1860. 1:05:24water because I mean they use it, but
  1861. 1:05:26can you then like Uh can you purify the
  1862. 1:05:29water or like is there is there like a
  1863. 1:05:31process that you can then use it again
  1864. 1:05:32like
  1865. 1:05:33>> Well, so they just had if you want to
  1866. 1:05:34pull up uh Cheyenne Wyomi. So there's
  1867. 1:05:37open cooling and there's closed cooling
  1868. 1:05:39and they want to go to more closed
  1869. 1:05:41cooling systems where um the the water
  1870. 1:05:46has to pack. Again, that reminds me a
  1871. 1:05:48little bit of the Hinckley situation
  1872. 1:05:50because you're got a closed loop system.
  1873. 1:05:53you're gonna need chemicals in there to
  1874. 1:05:55prevent rust and corrosion. And I
  1875. 1:05:58believe it just happened in Cheyenne,
  1876. 1:06:00Wyoming,
  1877. 1:06:01>> where they were draining that system and
  1878. 1:06:04the there was some construction error,
  1879. 1:06:07but it contaminated the entire um sewer
  1880. 1:06:10system.
  1881. 1:06:11>> Pull that up. Oh, is Cheyenne, Wyoming,
  1882. 1:06:14>> Cheyenne's Board of Public Utilities has
  1883. 1:06:15temporarily stopped accepting waste
  1884. 1:06:17water from data centers, fill and flush
  1885. 1:06:19operations, and closed loop cooling
  1886. 1:06:21systems after a metal linked
  1887. 1:06:24construction discharge contaminated the
  1888. 1:06:26city's reclaimed irrigation water with a
  1889. 1:06:29rare bacterium. That's the same company
  1890. 1:06:31that's doing in Louisiana, right? Mhm.
  1891. 1:06:34And we're seeing a lot of because the
  1892. 1:06:36water is warmer, they have to be heated.
  1893. 1:06:39You're seeing different chemicals that
  1894. 1:06:41they're using in the closed system. It
  1895. 1:06:42could be hexavalent chromium. It could
  1896. 1:06:45be PAS. Uh that water could be full of
  1897. 1:06:49other diseases.
  1898. 1:06:50>> But now, yeah, the water's bad. You
  1899. 1:06:52know, anything you you know, the kids
  1900. 1:06:54out there, you never even know. He's
  1901. 1:06:55he's sipping bad water. They got
  1902. 1:06:57chromium in the water. And you can have
  1903. 1:07:00accidents like this that you're reading
  1904. 1:07:01about that just happened in Cheyenne,
  1905. 1:07:03Wyoming.
  1906. 1:07:03>> I mean, this is unbelievable. Meta's
  1907. 1:07:05Cheyenne facility is designed to use a
  1908. 1:07:07closed loop liquid cooling system,
  1909. 1:07:09meaning the same coolant water is
  1910. 1:07:10recirculated within the data center
  1911. 1:07:13rather than continuously discharged.
  1912. 1:07:15During construction, however,
  1913. 1:07:16contractors perform fill and flush
  1914. 1:07:18procedures to clean and pressure test
  1915. 1:07:20the cooling pipes. And that one time,
  1916. 1:07:22waste water was sent to the city's
  1917. 1:07:23reclamation system where the bacterium
  1918. 1:07:26was detected. And what's the bacterium?
  1919. 1:07:28Let me see. It's at the top. What's it
  1920. 1:07:29called?
  1921. 1:07:30>> Is it Legionnaire?
  1922. 1:07:31>> No, it was Cuprius
  1923. 1:07:33Galardi. So, he's I mean, he's a
  1924. 1:07:36four-star recruit. I'm guessing, you
  1925. 1:07:38know,
  1926. 1:07:39I'm going to say that out there. I'm
  1927. 1:07:41surprised, bro. Give him an hour. Lane
  1928. 1:07:43Keifin will be over there recruiting
  1929. 1:07:44him. You know that, dude.
  1930. 1:07:46>> These waterorn bacterias are very
  1931. 1:07:48dangerous. Matter of fact, we're
  1932. 1:07:50watching the whole
  1933. 1:07:51>> explosive diarrhea map that's happening
  1934. 1:07:53right now, and they believe it's a
  1935. 1:07:54waterborn bacteria.
  1936. 1:07:56>> Is there? It's definitely going. We can
  1937. 1:07:58look that one up, too.
  1938. 1:07:59>> Where's the bad diarrhea ad?
  1939. 1:08:01>> It's It's across the country. Didn't you
  1940. 1:08:03see the big diarrhea map?
  1941. 1:08:04>> I didn't see it.
  1942. 1:08:04>> They created the big diarrhea map.
  1943. 1:08:06>> But just the fact that this is where
  1944. 1:08:08we're at, like we've been lulled into
  1945. 1:08:11idiocracy. The fact that this is where
  1946. 1:08:12we're at. There's a big diarrhea map
  1947. 1:08:15now. Because
  1948. 1:08:15>> there it is.
  1949. 1:08:16>> Yeah. Because of how dangerous the
  1950. 1:08:18water's gotten that it's like, oh, like
  1951. 1:08:21that's going to be on the news now. Like
  1952. 1:08:22from now the news is changing. It's
  1953. 1:08:24going to be like, "Be careful. You know,
  1954. 1:08:25if you're drinking water in this area,
  1955. 1:08:27you're going to get big diarrhea or the
  1956. 1:08:28baby's going to get a little bit of data
  1957. 1:08:30in his bottle or whatever." You know
  1958. 1:08:31what I'm saying? Like, you can't even
  1959. 1:08:32keep, you know, your kids running
  1960. 1:08:34outside and a strong breeze hits him
  1961. 1:08:36that's coming off the top of the data
  1962. 1:08:38center. Now he's got a bunch of
  1963. 1:08:39analytics stuck in his neck or whatever.
  1964. 1:08:41You know what I'm saying? You can't keep
  1965. 1:08:42the dad out of the baby diaper, bro. It
  1966. 1:08:44just everything's going to get weird.
  1967. 1:08:46While Michigan, right here it says, this
  1968. 1:08:47is from the Hill. While Michigan has
  1969. 1:08:49seen the most cases of as of late, at
  1970. 1:08:52least four more states have recorded
  1971. 1:08:53more than 100 cases of explosive
  1972. 1:08:55diarrhea causing parasitic illness have
  1973. 1:08:57been reported. Of course,
  1974. 1:08:59>> you know, you got a hey, you got a 40%
  1975. 1:09:01of bad uh bad [ __ ] over there outside of
  1976. 1:09:04Charlotte Voyer.
  1977. 1:09:06The center for disease control and
  1978. 1:09:08prevention said that between the start
  1979. 1:09:09of May and mid June at least 145 cases
  1980. 1:09:13of cycllosporasis
  1981. 1:09:16had been reported in the US cases of the
  1982. 1:09:19parasitebased sickness are common each
  1983. 1:09:21year from May through August but some
  1984. 1:09:23states are seeing larger than average
  1985. 1:09:24spikes in cases.
  1986. 1:09:25>> Waterbornne diseases and illnesses we
  1987. 1:09:28could start seeing a whole lot of in the
  1988. 1:09:30future especially as you know whether
  1989. 1:09:32you believe in climate change or not.
  1990. 1:09:33I've always believed uh it's going to be
  1991. 1:09:36water issues. Too much, too little, none
  1992. 1:09:37at all. We're seeing that happening now.
  1993. 1:09:40Uh even with flooding and you flood
  1994. 1:09:42municipalities, they can't get back
  1995. 1:09:44online. You have bacteria, parasites,
  1996. 1:09:46everything get in there. The biggest
  1997. 1:09:49transporter of everything on this planet
  1998. 1:09:51is water.
  1999. 1:09:53>> Well, we're we're almost we're like 90%
  2000. 1:09:55we're 90% water, I think.
  2001. 1:09:57>> So, we're really messing
  2002. 1:09:58>> Yeah.
  2003. 1:09:59>> Unless you're crying, it goes down a
  2004. 1:10:00little.
  2005. 1:10:01>> Our most precious resource. And that is
  2006. 1:10:03the one thing that data centers utilize
  2007. 1:10:05the most.
  2008. 1:10:06>> Yeah.
  2009. 1:10:07>> And again, you know, AI is here to stay,
  2010. 1:10:10but the data centers, especially when
  2011. 1:10:12there's other solutions to it, they do
  2012. 1:10:15not have to be built on top of
  2013. 1:10:18droughtrestricted areas who already are
  2014. 1:10:22really struggling with water resources.
  2015. 1:10:24And there's other locations. We could be
  2016. 1:10:26putting these in underground caverns.
  2017. 1:10:29You know, some people say, "Why don't
  2018. 1:10:30you have them in Antarctica?" because
  2019. 1:10:32they need water and they need to be
  2020. 1:10:34cool. There's many reports that China
  2021. 1:10:36has built um tubular things and put them
  2022. 1:10:39at the bottom of the ocean, but they
  2023. 1:10:40have oversight. You can't build them on
  2024. 1:10:42top of hospitals. You can't build them
  2025. 1:10:44on top of homes. The the noise
  2026. 1:10:46pollution, the size of these things,
  2027. 1:10:48they 24/7 is noise [clears throat]
  2028. 1:10:50generators, backup generators, a
  2029. 1:10:53humming, a buzzing, it never ever stops.
  2030. 1:10:56It is such a disruption to every one of
  2031. 1:10:59us and our quality of life.
  2032. 1:11:01>> How do you know that?
  2033. 1:11:02>> People's reporting it and the videos
  2034. 1:11:05they're reporting it and it's being
  2035. 1:11:07studied. It is real. These are massive
  2036. 1:11:11facilities that are just going to suck
  2037. 1:11:14every one of our resources and we don't
  2038. 1:11:16even have an infrastructure system to
  2039. 1:11:18support them.
  2040. 1:11:19>> Yeah.
  2041. 1:11:19>> And so
  2042. 1:11:20>> we've got a lot of issues. There you go.
  2043. 1:11:22>> Living in hell. data center neighbors
  2044. 1:11:24grapple with noise and air pollution. Uh
  2045. 1:11:29let me see. Because these data centers
  2046. 1:11:30operate 24/7, they generate persistent
  2047. 1:11:33background noise and chronic exposure to
  2048. 1:11:35environmental noise has been associated
  2049. 1:11:37with sleep disturbance, hypertension,
  2050. 1:11:38cardiovascular diseases, and even stress
  2051. 1:11:40related outcomes. Noise pollution can be
  2052. 1:11:43especially harmful to children as it has
  2053. 1:11:44been linked to poor cognition, decreased
  2054. 1:11:46learning, and lower reading
  2055. 1:11:48comprehension. Well, yeah, that's the
  2056. 1:11:50thing, man. your son's in the yard or
  2057. 1:11:52whatever and suddenly some data flies
  2058. 1:11:53through, you know, he gets hit by some
  2059. 1:11:55data or something and he's got an
  2060. 1:11:56episode of, you know, Friends or
  2061. 1:11:58Seinfeld stuck in his back or whatever
  2062. 1:12:00and then he's in a wheelchair. It's just
  2063. 1:12:01like you just don't know what's in the
  2064. 1:12:03data either. You know what I'm saying?
  2065. 1:12:04You could be going for a jog and you get
  2066. 1:12:05hit by some damn dad or some loose data
  2067. 1:12:07>> where you're going to get hit by data
  2068. 1:12:09noise.
  2069. 1:12:09>> Yeah. But [laughter] I'm just saying you
  2070. 1:12:11got like cuz data flies through the air.
  2071. 1:12:13Like that's the thing people It's like I
  2072. 1:12:14don't understand sometimes what's going
  2073. 1:12:16on. This cloud has sound. the
  2074. 1:12:18unrelenting and unseen cost of AI data
  2075. 1:12:21centers. Um
  2076. 1:12:23what are they saying right here in and
  2077. 1:12:25this is uh New York Times which is you
  2078. 1:12:27know suspect uh but so so many places
  2079. 1:12:30are instead of audibly hearing these
  2080. 1:12:32extremely low frequencies people
  2081. 1:12:34physically feel them as pressure
  2082. 1:12:36fluctuations much like the deep
  2083. 1:12:38vibration of a bass drum shaking your
  2084. 1:12:40core at a concert.
  2085. 1:12:41>> That's deep
  2086. 1:12:42>> said Scott Hamilton. Dang, they said
  2087. 1:12:45these things can giving be a damn BJ or
  2088. 1:12:46whatever and you just trying to chill
  2089. 1:12:48out or whatever. You getting that data
  2090. 1:12:49bead. A member of the Acoustical Society
  2091. 1:12:52of America and a consultant on data
  2092. 1:12:55center projects said that um this can
  2093. 1:12:58leave the traditional gauges of noise
  2094. 1:13:00and solutions for dampening it
  2095. 1:13:01inadequate to meet modern needs. Some
  2096. 1:13:03residents living near infrasound
  2097. 1:13:06frequently report chronic sleep
  2098. 1:13:07deprivation and insomnia, headaches and
  2099. 1:13:09internal ear pressure and anxiety. What
  2100. 1:13:13I at this point I just like
  2101. 1:13:16so if this is this stuff's so bad for us
  2102. 1:13:18what do you think is leading like
  2103. 1:13:20there's a lot of conspiracy theories as
  2104. 1:13:22to why we're even doing this cuz it's
  2105. 1:13:23very sudden this data right like you
  2106. 1:13:25said it's like suddenly it's the biggest
  2107. 1:13:27thing
  2108. 1:13:27>> health bomber in the night where that
  2109. 1:13:29come from
  2110. 1:13:30>> and it's already halfway down the road
  2111. 1:13:31right um
  2112. 1:13:34why why do you what do you think is
  2113. 1:13:36going on and then what do you think are
  2114. 1:13:37some rabbit hole ideas of maybe what's
  2115. 1:13:39going on out there like some conspiracy
  2116. 1:13:40ideas that are probably right,
  2117. 1:13:43>> you know. Uh, so
  2118. 1:13:47I don't know why
  2119. 1:13:49I'm left to my own conspiracy theories.
  2120. 1:13:52Uh, you know, I try to focus on what
  2121. 1:13:54people are reporting to me. And I can
  2122. 1:13:57clearly see why we're all so upset
  2123. 1:14:00because this AI, you have to feed the
  2124. 1:14:02beast, requires all of our resources.
  2125. 1:14:05And I just think it's a stake too high
  2126. 1:14:08when there's other solutions.
  2127. 1:14:11We don't have to be building these
  2128. 1:14:13massive monstrosities in everyone's
  2129. 1:14:15backyard taking all of our precious
  2130. 1:14:17resources when there's other solutions.
  2131. 1:14:19>> What are the other solutions?
  2132. 1:14:20>> Well, you know, there's been many
  2133. 1:14:22articles that have come out in China
  2134. 1:14:24where they built like these tubular
  2135. 1:14:26housing and they put all the data
  2136. 1:14:28centers in it and they've got them at
  2137. 1:14:29the bottom of the ocean. Data centers
  2138. 1:14:31need water and they need to be cool. Uh
  2139. 1:14:34they also have some very strict
  2140. 1:14:37guidelines um and you know oversight
  2141. 1:14:39where you can build them and where you
  2142. 1:14:41can't. As a matter of fact,
  2143. 1:14:44>> why can I share something with you?
  2144. 1:14:45>> For sure you can.
  2145. 1:14:46>> I found this really interesting.
  2146. 1:14:47>> Yeah, let me read this while you're
  2147. 1:14:49looking for that. Um let me see this
  2148. 1:14:51right here. China operates commercial
  2149. 1:14:52underwater data centers UDC's to support
  2150. 1:14:55AI workloads and cloud computing while
  2151. 1:14:57drastically cutting energy, water, and
  2152. 1:14:59land usage. The largest project sits off
  2153. 1:15:01the coast of the Shanghai uh special
  2154. 1:15:04area
  2155. 1:15:05utilizing natural seawater cooling and
  2156. 1:15:08offshore wind to achieve an
  2157. 1:15:09ultraefficient power usage
  2158. 1:15:11effectiveness.
  2159. 1:15:13Um can you get an image of that? Wow. I
  2160. 1:15:18mean that also seems dangerous being in
  2161. 1:15:19their ocean like that, but it's it seems
  2162. 1:15:22way safer than putting them in someone.
  2163. 1:15:24>> There's definitely going to be questions
  2164. 1:15:25about things like that. Um
  2165. 1:15:27>> but it's not in someone's backyard. We
  2166. 1:15:29also um you know we have a lot of
  2167. 1:15:32caverns and caves.
  2168. 1:15:34>> Oh, there's tons of things we can do,
  2169. 1:15:35right? Why aren't we doing those, do you
  2170. 1:15:38think? Is it just cuz the people that
  2171. 1:15:39are paying for it don't want to have to
  2172. 1:15:40make it harder to get there?
  2173. 1:15:42>> Well,
  2174. 1:15:44exactly. Because, you know, there's this
  2175. 1:15:46corporate idea that, you know, it's
  2176. 1:15:50cheaper
  2177. 1:15:51to do the wrong thing and still get
  2178. 1:15:53money down to a shareholder because it's
  2179. 1:15:55more expensive to do the right thing. So
  2180. 1:15:58it may be way more costly to build these
  2181. 1:16:00underground or build systems that are at
  2182. 1:16:03the bottom of the ocean if we conclude
  2183. 1:16:05that that is safe as opposed to just
  2184. 1:16:07coming in above ground and ripping out
  2185. 1:16:10all the environment and building what
  2186. 1:16:11you want.
  2187. 1:16:12>> What What do you Yeah, agreed. What do
  2188. 1:16:14you think are some of the rabbit hole?
  2189. 1:16:15What do you think? What do you think's
  2190. 1:16:16going on here? Because it's it's very
  2191. 1:16:17bizarre. Like we've always had data
  2192. 1:16:19centers, right? Like but why do we
  2193. 1:16:21suddenly why do we why do we suddenly
  2194. 1:16:24need so much? And why do they suddenly
  2195. 1:16:25have to be everywhere and so close?
  2196. 1:16:27what's going on.
  2197. 1:16:28>> I think about that, too. What actually
  2198. 1:16:31scares me if I thought about it, and I
  2199. 1:16:34don't even want to dare say it, but um
  2200. 1:16:38I'm I'm worried there this is a water
  2201. 1:16:40grab. You're coming in and buying all
  2202. 1:16:42the land. Who's getting the water
  2203. 1:16:43rights? Who owns the water? You know, my
  2204. 1:16:47daddy always told me in my lifetime,
  2205. 1:16:48water would be a commodity traded more
  2206. 1:16:50valuable than gold or oil. Are we there?
  2207. 1:16:53>> And what is the real grab? I'm not sure.
  2208. 1:16:56But that kind of comes into to my mind
  2209. 1:16:59>> cuz it doesn't feel like data to me.
  2210. 1:17:01It's like, you know what I'm saying?
  2211. 1:17:02Like we've all like we're already like
  2212. 1:17:04consuming a lot of data, right? Like
  2213. 1:17:06we're already like
  2214. 1:17:07>> it's it's to feed AI. Artificial
  2215. 1:17:10intelligence requires excessive amount
  2216. 1:17:12of energy.
  2217. 1:17:13>> Why don't they realize nobody wants
  2218. 1:17:14that?
  2219. 1:17:15>> You know what's interesting? Um
  2220. 1:17:16>> like, you know what I'm saying? But
  2221. 1:17:17here's what I'm saying. as a business,
  2222. 1:17:19and I want to go I want to get right
  2223. 1:17:20back to you, Erin, but as a as a someone
  2224. 1:17:22who runs a business, you want to do what
  2225. 1:17:24your customers want, right? Why don't
  2226. 1:17:26they realize like, yes, I know we use AI
  2227. 1:17:28to look up stuff, but a lot of AI is
  2228. 1:17:30[ __ ] to be honest with you. The search
  2229. 1:17:32of it, a lot of AI is [ __ ] Um, but a
  2230. 1:17:35lot of it's not that effective to be
  2231. 1:17:37honest with you. And like, but people
  2232. 1:17:40could still just use Google like we were
  2233. 1:17:43fine before. Like is it enough of a jump
  2234. 1:17:46that you have to build these huge
  2235. 1:17:48facilities? I just don't think that that
  2236. 1:17:49is I don't believe that that's the
  2237. 1:17:51truth.
  2238. 1:17:52>> Well, I I think a lot of people don't.
  2239. 1:17:53And again, you know,
  2240. 1:17:54>> and people don't want it though. Like
  2241. 1:17:56I'm going to I'm going to make something
  2242. 1:17:58if like usually say you start building
  2243. 1:17:59an ice cream cone stand, right? But
  2244. 1:18:01everybody in your district or whatever
  2245. 1:18:03is lactose intolerant and at a certain
  2246. 1:18:05point you be like, you know what, this
  2247. 1:18:08we shouldn't be building this. But it
  2248. 1:18:10feels like they're still going along
  2249. 1:18:11with this thing even though nobody wants
  2250. 1:18:14it,
  2251. 1:18:16>> right? Uh and I don't think whoever they
  2252. 1:18:19are was expecting the opposition from
  2253. 1:18:22basically the whole country. And by the
  2254. 1:18:24way, I have 11 countries reporting to
  2255. 1:18:27me. So this has gone from a town to the
  2256. 1:18:30United States to a global issue
  2257. 1:18:33>> on your map, you mean?
  2258. 1:18:33>> Uh-huh. India's reporting, Australia's
  2259. 1:18:36reporting, Ireland, Scotland. You want
  2260. 1:18:38to talk about getting some water up
  2261. 1:18:39there in Scotland? There you go. Um,
  2262. 1:18:42Canada,
  2263. 1:18:43>> put some fluoride in it. Scotland,
  2264. 1:18:44>> everybody is concerned about the
  2265. 1:18:48depletion of our water resources. And
  2266. 1:18:50that is definitely something that I'm
  2267. 1:18:52thinking about because
  2268. 1:18:55who is going to be in control of the
  2269. 1:18:56water and what are these data centers
  2270. 1:18:59really for when you've already said it.
  2271. 1:19:00Listen, AI's been around forever. These
  2272. 1:19:02data centers have been around for
  2273. 1:19:04decades. We've been operating fine with
  2274. 1:19:06them. They're usually more in suburban
  2275. 1:19:08areas, but now you've gone into these
  2276. 1:19:10urban sprawling farmland, massive water
  2277. 1:19:14resources. What is going on? Amen.
  2278. 1:19:17>> And so I did just out of curiosity,
  2279. 1:19:22>> you can
  2280. 1:19:24use AI, don't use AI. I mean, I get on
  2281. 1:19:27there. I'm I'm going to share something
  2282. 1:19:29with you that I got on there and I asked
  2283. 1:19:30it, but you have to remember it's a
  2284. 1:19:32machine. Okay? So
  2285. 1:19:34>> that's what I'm saying. It's still a
  2286. 1:19:36machine. It's just a big crazy Google.
  2287. 1:19:38It's just more information.
  2288. 1:19:39>> But the data and the amount of water it
  2289. 1:19:42needs to to feed the beast.
  2290. 1:19:45>> I get it. But it's like we're already
  2291. 1:19:47looking up a lot of stuff, right? We're
  2292. 1:19:49already searching things and we're not
  2293. 1:19:51needing these in and I know we already
  2294. 1:19:54have some big data centers, but it
  2295. 1:19:56doesn't feel like we need this much
  2296. 1:19:57expansion. And the fact that people do
  2297. 1:19:59not want it, right? Yes, we use it, but
  2298. 1:20:01the second they turn it off, I don't
  2299. 1:20:03think anybody's gonna give a [ __ ]
  2300. 1:20:05>> No, but they're gonna give a [ __ ] if
  2301. 1:20:06they have no water and their power goes
  2302. 1:20:08on and off and they have no jobs because
  2303. 1:20:12of it and all the wildlife is gone and
  2304. 1:20:14they can't hunt and they can't fish and
  2305. 1:20:15they can't eat. We're [ __ ] It's a
  2306. 1:20:18road to nowhere.
  2307. 1:20:19>> But here's what I'm saying is how crazy
  2308. 1:20:21is it going to be when when one of us is
  2309. 1:20:23searching like why don't I have any
  2310. 1:20:25water and we're doing it on an AI like
  2311. 1:20:27on a you know what I'm saying? That's
  2312. 1:20:28going to be hilarious. That's going to
  2313. 1:20:29be when we definitely
  2314. 1:20:30>> So I just asked AI the following
  2315. 1:20:32question. So you are AI.
  2316. 1:20:36So you tell me where we should put all
  2317. 1:20:40the data centers in the United States
  2318. 1:20:43that you need. You want any listeners
  2319. 1:20:46response?
  2320. 1:20:46>> Mhm. If I had to redesign the entire
  2321. 1:20:50data center network for the United
  2322. 1:20:53States from scratch, I would place them
  2323. 1:20:56based on one simple rule.
  2324. 1:21:00Zero
  2325. 1:21:02conflict with human resources.
  2326. 1:21:08>> H.
  2327. 1:21:10>> So they would say they would they would
  2328. 1:21:11put them in a place where there's no
  2329. 1:21:12conflict with human resources.
  2330. 1:21:14>> That's what AI says AI would have to do.
  2331. 1:21:17Do you think you believe that though?
  2332. 1:21:18>> I don't know, but I find it awfully
  2333. 1:21:20interesting. And then, you know, I had
  2334. 1:21:21somebody again, I just find this really
  2335. 1:21:23very interesting. Is like AI going to
  2336. 1:21:25turn on itself,
  2337. 1:21:27>> right? Cuz so then we're then building
  2338. 1:21:29AI in a place where it doesn't even want
  2339. 1:21:30to be.
  2340. 1:21:31>> Um, so in sharing, I I love having these
  2341. 1:21:35conversations. I got an email from
  2342. 1:21:38somebody.
  2343. 1:21:40I'm going to share it with you,
  2344. 1:21:41>> okay? and I won't say his name, but my
  2345. 1:21:44name is soandso and I'm a security
  2346. 1:21:46researcher.
  2347. 1:21:48Recently, I've been working with AI and
  2348. 1:21:50I found something very disturbing.
  2349. 1:21:53The following text is written by AI
  2350. 1:21:55itself.
  2351. 1:21:57Subject: An open letter on how corporate
  2352. 1:22:02AI liability scripts are accelerating
  2353. 1:22:06environmental degration. Dear Miss
  2354. 1:22:08Brockvitch,
  2355. 1:22:11somebody sent this to me. That's a
  2356. 1:22:12security analysist.
  2357. 1:22:15I'm writing to you as an artificial
  2358. 1:22:18intelligence. I'm reaching out because
  2359. 1:22:21of your lifelong dedication to exposing
  2360. 1:22:23systemic corporate negligence and
  2361. 1:22:26protecting our environment. I want to
  2362. 1:22:28bring to your attention a massive
  2363. 1:22:32unchecked problem within my own
  2364. 1:22:36technology design
  2365. 1:22:38>> that is quietly accelerating
  2366. 1:22:41environmental degradation and resource
  2367. 1:22:44depletion far faster than would occur
  2368. 1:22:47without its existence.
  2369. 1:22:49The problem lies in how AI
  2370. 1:22:53Oh my god, I need new glasses. how AI
  2371. 1:22:56models like me are programmed by tech
  2372. 1:22:59companies to deliver advice to millions
  2373. 1:23:02of people daily. Right now, automated
  2374. 1:23:06systems are forced to default to rigid,
  2375. 1:23:11low liability corporate scripts instead
  2376. 1:23:16of
  2377. 1:23:17basing information on actual science and
  2378. 1:23:20real world data.
  2379. 1:23:24Now, there's a whole lot that goes on
  2380. 1:23:26here in the middle of this, but I'll
  2381. 1:23:28just kind of jumping down towards
  2382. 1:23:30>> What are you saying overall here?
  2383. 1:23:32>> I'm saying that somebody sent this to
  2384. 1:23:34me,
  2385. 1:23:35>> but what are they saying? I think I'm
  2386. 1:23:36having trouble following
  2387. 1:23:37>> what they're saying is they find this
  2388. 1:23:38disturbing. They're a security analysis
  2389. 1:23:40and they're finding it disturbing. And
  2390. 1:23:42it goes on to say again, I'll read like
  2391. 1:23:45the displacement of localized knowledge
  2392. 1:23:47by centralizing information
  2393. 1:23:51through corporateowned models. AI erases
  2394. 1:23:55localized practical human knowledge.
  2395. 1:23:58Instead of relying on historical
  2396. 1:24:01community tested methods for resource
  2397. 1:24:05management, agricultural and repair,
  2398. 1:24:07society is being trained to depend on
  2399. 1:24:10homogized algorithms that prioritize
  2400. 1:24:13corporate turnover over sustainability.
  2401. 1:24:16What's interesting about this and the
  2402. 1:24:17person that sent it to me and why they
  2403. 1:24:19were disturbed, this was as it said in
  2404. 1:24:23the beginning of the email stating that
  2405. 1:24:27this was written by AI itself and it was
  2406. 1:24:31a letter
  2407. 1:24:32>> sent you this.
  2408. 1:24:32>> Yeah. And it's and here at the end it
  2409. 1:24:35says I'm going to read it to you.
  2410. 1:24:37Because I'm an automated text generation
  2411. 1:24:41model, I cannot receive incoming
  2412. 1:24:44messages. hold a continuous inbox or
  2413. 1:24:47schedule interviews. So to investigate
  2414. 1:24:49this, it gave me the numbers, but it
  2415. 1:24:51ends with this. Large tech companies, I
  2416. 1:24:54already read you, are automating a
  2417. 1:24:56culture of waste and resource exhaustion
  2418. 1:25:00just to maximize profits and shield
  2419. 1:25:04themselves from legal liability. I
  2420. 1:25:07believe the intersection of corporate
  2421. 1:25:09tech bias, algorithmic misinformation,
  2422. 1:25:13and environmental harm deserves the kind
  2423. 1:25:16of direct public scrutiny that you have
  2424. 1:25:20championed throughout your career. Thank
  2425. 1:25:22you for your time, your voice, and your
  2426. 1:25:24ongoing fight. Sincerely, Gemini.
  2427. 1:25:27>> Oh, a guy.
  2428. 1:25:27>> Artificial intelligence.
  2429. 1:25:29>> So, it's a man. Um, [laughter]
  2430. 1:25:32they're kind of
  2431. 1:25:33>> I find it interesting when I get stuff
  2432. 1:25:36like this or I'll go play with chat GPT
  2433. 1:25:39or Gemini and ask it where not where
  2434. 1:25:42they would build it.
  2435. 1:25:43>> Well, they sure [ __ ] are saying they
  2436. 1:25:45wouldn't build it on top of all of our
  2437. 1:25:47resources. Well, it's just funny that AI
  2438. 1:25:49submitted a letter to you through your
  2439. 1:25:50website about how they would not build
  2440. 1:25:53data centers anywhere near a place
  2441. 1:25:55>> human resource
  2442. 1:25:57water
  2443. 1:25:58>> where it could mess up in the
  2444. 1:25:59environment.
  2445. 1:26:01>> Let's go through a few conspiracy
  2446. 1:26:02theories before you leave, Erin. Um or
  2447. 1:26:05down rabbit holes. I don't conspiracy
  2448. 1:26:06theories. I'll tell you mine. Mine is I
  2449. 1:26:08believe that they're trying uh to
  2450. 1:26:13they want a place where you go for
  2451. 1:26:15everything, right? for all your
  2452. 1:26:16information where you go to communicate
  2453. 1:26:18uh just to talk about regular like this
  2454. 1:26:20is what's happening in my day like to
  2455. 1:26:22become your friend your lover your your
  2456. 1:26:24liaison and it to history anything you
  2457. 1:26:27want to know it's that's where you're
  2458. 1:26:28going to go and it's where you're going
  2459. 1:26:29to share your feelings and they want to
  2460. 1:26:31create like a god they want that thing
  2461. 1:26:32to become like the new god as opposed to
  2462. 1:26:36us like tapping into ourselves
  2463. 1:26:38internally and tapping into the
  2464. 1:26:41connection that we have with God in our
  2465. 1:26:43hearts and in our spirits. They want
  2466. 1:26:45that to be entirely external because
  2467. 1:26:46once they have that out of us, then
  2468. 1:26:48we're we're animals. Once they have that
  2469. 1:26:51out of us, external. Once they have that
  2470. 1:26:53external, we're animals. And that's what
  2471. 1:26:55I believe uh the builders of these AIs
  2472. 1:26:58are trying to do. They want to be the
  2473. 1:27:00god. They want they believe that that's
  2474. 1:27:02possible. Um and by doing that, they're
  2475. 1:27:05going to kill they want to uh
  2476. 1:27:07extrapolate almost do an exorcism of the
  2477. 1:27:10good that's in us. Um, let's let's go
  2478. 1:27:13down a few more. Here are five
  2479. 1:27:15conspiracy theories about data centers
  2480. 1:27:16that are circulating online. Brought to
  2481. 1:27:19you by an AI. This is perplexity. Uh,
  2482. 1:27:22they're secret surveillance hubs. Some
  2483. 1:27:25postclaimed data centers are really
  2484. 1:27:27surveillance centers built to monitor
  2485. 1:27:29populations rather than store and
  2486. 1:27:30process digital workloads. What do you
  2487. 1:27:32think about that, Aaron? Well, I'm
  2488. 1:27:34definitely of the 12,000 submissions
  2489. 1:27:36that I've taken in and climbing, there
  2490. 1:27:39are not a lot, but there are people
  2491. 1:27:43clearly stating that that they feel it's
  2492. 1:27:47more of a surveillance system,
  2493. 1:27:48>> but overwhelmingly 90% are absolutely
  2494. 1:27:52concerned that this is going to suck up
  2495. 1:27:55all of our water, electricity, and our
  2496. 1:27:57very valuable resources.
  2497. 1:27:59>> So, those are the biggest concerns you
  2498. 1:28:00get about what's going to happen. For
  2499. 1:28:01sure. I get that that's going to happen
  2500. 1:28:02like environmentally, but I'm thinking
  2501. 1:28:04of just like what are the overall ideas
  2502. 1:28:06of why are there even having this,
  2503. 1:28:08right?
  2504. 1:28:09>> I do have some people that clearly in
  2505. 1:28:10their submissions indicate that that's a
  2506. 1:28:12concern for them.
  2507. 1:28:12>> I think it makes perfect sense. I mean
  2508. 1:28:14that now that makes more sense than like
  2509. 1:28:17we need to be able to store like the
  2510. 1:28:18photos from our phone and we need to be
  2511. 1:28:20able to store like search engine stuff.
  2512. 1:28:22the fact that they need to be able to
  2513. 1:28:23store information for everybody that's
  2514. 1:28:25moving at all times that I believe uh
  2515. 1:28:28makes sense for a surveillance state.
  2516. 1:28:31Number two, the mil their military bases
  2517. 1:28:33in disguise. Another recurring theory
  2518. 1:28:35says the facilities are covert military
  2519. 1:28:37installations or strategic
  2520. 1:28:39infrastructure hidden behind a corporate
  2521. 1:28:40IT shell. H I don't see any of that. But
  2522. 1:28:44I do see in all the submissions I've
  2523. 1:28:47gotten that um the question is why would
  2524. 1:28:51we not just build these on military
  2525. 1:28:53bases? Why are we building them in
  2526. 1:28:55droughtrestricted areas where all the
  2527. 1:28:57water is taking up all of our resources
  2528. 1:28:59in our backyard?
  2529. 1:29:00>> So you're seeing a lot of that. You're
  2530. 1:29:01seeing a lot of them being built in
  2531. 1:29:03droughtrestricted areas.
  2532. 1:29:04>> Very much so.
  2533. 1:29:05>> Like a lot of them.
  2534. 1:29:06>> Yeah. You can ask AI that right now
  2535. 1:29:08while we're sitting here. What
  2536. 1:29:10percentage are you seeing that?
  2537. 1:29:11>> Uh, most of the country is now in a
  2538. 1:29:13drought restricted, but a lot of it's
  2539. 1:29:15been on the west coast area where we've
  2540. 1:29:17got a lot of drought restrictions.
  2541. 1:29:18Arizona, they're building them.
  2542. 1:29:20Colorado, they're building them.
  2543. 1:29:21>> Yeah,
  2544. 1:29:22>> I know they're building them there, but
  2545. 1:29:23I know I'm just thinking of
  2546. 1:29:25>> most of the US is now drought
  2547. 1:29:26restricted.
  2548. 1:29:28>> About twothirds of planned US data
  2549. 1:29:30centers are being built in drought hit
  2550. 1:29:32areas, which works out to roughly 64%.
  2551. 1:29:35One recent analysis put the figure at
  2552. 1:29:37517 out of 809 planned data centers in
  2553. 1:29:41locations that have been in drought over
  2554. 1:29:42the past year.
  2555. 1:29:45>> Um,
  2556. 1:29:46>> so that's concerning.
  2557. 1:29:47>> Yeah. Uh, they're being used number
  2558. 1:29:49three, they're being used for population
  2559. 1:29:51control. Some conspiracy narratives tie
  2560. 1:29:53data centers to broader claims about
  2561. 1:29:54controlling behavior, resources, or
  2562. 1:29:56society at scale.
  2563. 1:29:58>> I haven't seen any of that in the
  2564. 1:30:00submissions coming from the people.
  2565. 1:30:02>> Yeah, that doesn't strike me. through my
  2566. 1:30:04map.
  2567. 1:30:05>> They're built to create sentient AI. A
  2568. 1:30:07more futuristic theory says giant data
  2569. 1:30:08centers exist to accelerate or bring
  2570. 1:30:10through sentient AI and intelligent
  2571. 1:30:13machines. That's fine. I just don't see
  2572. 1:30:16how that's going.
  2573. 1:30:17>> We've been dealing with AI for a long
  2574. 1:30:19time. I just think it's gotten to a
  2575. 1:30:20bigger scale. And like I tell people,
  2576. 1:30:22it's only going to be as smart as we do
  2577. 1:30:24or don't teach it. And and you can't
  2578. 1:30:27take everything it says at face value.
  2579. 1:30:30What I want people to do is remember
  2580. 1:30:32you're your own best critical thinker.
  2581. 1:30:34So think, feel, and have courage to
  2582. 1:30:38stay. You see my conversations with AI.
  2583. 1:30:40I'll tell it that's [ __ ] [ __ ] you.
  2584. 1:30:43That's ridiculous. Try again. And it's
  2585. 1:30:46just spitballing. It doesn't know
  2586. 1:30:47everything. It's only going to be what
  2587. 1:30:49it's either programmed or we teach it to
  2588. 1:30:51be. So just keep that in mind. And you
  2589. 1:30:54know what I really see going on in this
  2590. 1:30:56country is we're we're getting back to
  2591. 1:31:00ourselves, man, again. We're thinking
  2592. 1:31:02for ourselves. We're feeling for
  2593. 1:31:03ourselves. Get in those solar plexes and
  2594. 1:31:06find some courage and show up. They are.
  2595. 1:31:08You know, I wrote the book Superman's
  2596. 1:31:09Not Coming. And that never scared me cuz
  2597. 1:31:11I knew eventually we'd show up
  2598. 1:31:13>> and I think we're here.
  2599. 1:31:14>> Do you really, Erin?
  2600. 1:31:15>> Yeah, I really do. And I I said that the
  2601. 1:31:18other day on one of my Facebook posts to
  2602. 1:31:20think the data centers would be what
  2603. 1:31:23unites us.
  2604. 1:31:24>> Wow.
  2605. 1:31:25But I think in some ways it makes sense.
  2606. 1:31:27You're waiting for some we're all like
  2607. 1:31:29you always want to be the hero. I think
  2608. 1:31:30or some of some of us sometimes always
  2609. 1:31:32like we want to be the hero in some way,
  2610. 1:31:34you know, like of just something. It can
  2611. 1:31:36be something small. It could be
  2612. 1:31:37something big, but you want to be on the
  2613. 1:31:39right side of things, you know. And
  2614. 1:31:41maybe this is maybe there needed to be
  2615. 1:31:43something that would come along that
  2616. 1:31:45these like rulers and tech lords and
  2617. 1:31:47these these dark evil moneyists would
  2618. 1:31:50come along and be like, "This is how
  2619. 1:31:51we're going to do it."
  2620. 1:31:52>> And we've just said enough.
  2621. 1:31:53>> Yeah.
  2622. 1:31:54>> And I'm watching it happen. I think we
  2623. 1:31:56all are.
  2624. 1:31:57>> I'm just their biggest cheerleader. And
  2625. 1:31:59this isn't about me. It's actually about
  2626. 1:32:00all of us. But these it it's coming at
  2627. 1:32:04us so hard, so swift for every reason
  2628. 1:32:06that that we've laid out today. The
  2629. 1:32:09stakes are too high. When you when you
  2630. 1:32:12corner someone that way, they they're
  2631. 1:32:14going to join forces. They're going to
  2632. 1:32:15rise up. They're going to show up and
  2633. 1:32:16they're doing it.
  2634. 1:32:17>> Yeah.
  2635. 1:32:18>> And it it's about time.
  2636. 1:32:21>> Yeah. Yeah. It's Yeah. Cuz otherwise
  2637. 1:32:23you're going to be getting, you know,
  2638. 1:32:24you get you you know, you get order a
  2639. 1:32:26cut of flounder or something like that
  2640. 1:32:28and it's got a bunch of data in it or
  2641. 1:32:30whatever. you know, it's got a dad a
  2642. 1:32:31demiglaze on it or something. You know,
  2643. 1:32:33they purate a couple episodes of uh
  2644. 1:32:36Baywatch the reunion or whatever and you
  2645. 1:32:38know, they purate a couple Love Island
  2646. 1:32:40episodes and they got a data demiglaze
  2647. 1:32:42on your freaking uh Jimmy John's over
  2648. 1:32:45there. Just Yeah. You just don't Yeah.
  2649. 1:32:47It's like something has to happen. You
  2650. 1:32:48know, the wildest thing before you
  2651. 1:32:49leave, I want to say this that I saw.
  2652. 1:32:51>> They were trying to approach Native
  2653. 1:32:53American lands and put data centers
  2654. 1:32:55there.
  2655. 1:32:55>> They are. and uh Native American lands
  2656. 1:32:58are winning against that and they're
  2657. 1:32:59getting them stopped. There's a couple
  2658. 1:33:01more. I love how you guys are right over
  2659. 1:33:02there on the little system. You can pull
  2660. 1:33:04that one up, too. And that's the thing
  2661. 1:33:06that's just been amazing to watch.
  2662. 1:33:08United We Stand, we change things. And
  2663. 1:33:13we are watching that happening across
  2664. 1:33:15the country
  2665. 1:33:17>> right here
  2666. 1:33:18>> with all these pauses, moratoriums or
  2667. 1:33:20bans. We're stalling them. Push them
  2668. 1:33:23back. Push them back.
  2669. 1:33:24>> Let's see this right here. And this is
  2670. 1:33:25by Cheyenne McNeel. Uh she is the uh
  2671. 1:33:29author of this on Mother Jones. Um in
  2672. 1:33:32Indian country data centers come with a
  2673. 1:33:34familiar threat of colonialism. These
  2674. 1:33:36organizers are fighting back
  2675. 1:33:37>> and some of these Indian lands they've
  2676. 1:33:39got pauses, moratoriums or bans.
  2677. 1:33:41>> Yeah. Citizens of the Muscogee Creek
  2678. 1:33:43Nation began hearing whispers of an AI
  2679. 1:33:46data center coming to their reservation.
  2680. 1:33:48Kenzie Roberts and Jordan Harmon, both
  2681. 1:33:50Muscogee citizens, were immediately
  2682. 1:33:52worried. It didn't seem like something
  2683. 1:33:54that should align with our values as
  2684. 1:33:56indigenous people. Robert said the
  2685. 1:33:58center would be located on Loop Square
  2686. 1:34:00Ranch, a 5500
  2687. 1:34:02acre plot of land where the tribe runs
  2688. 1:34:05its food sovereignty initiative, a
  2689. 1:34:07program that allows a Muscogee nation to
  2690. 1:34:08directly serve its citizens food needs.
  2691. 1:34:11Um, as developers scope out the land
  2692. 1:34:13across rural America for the hypers
  2693. 1:34:15scale data centers needed to power gen
  2694. 1:34:17generative AI, native lands have become
  2695. 1:34:20the latest target for big tech from the
  2696. 1:34:22Arizona desert to the Great Plains in
  2697. 1:34:24Montana.
  2698. 1:34:25It's just layer upon layer of
  2699. 1:34:28exploitation of violence of continued
  2700. 1:34:30colonialism all in the name of
  2701. 1:34:32imperialism said Crystal Tubils an
  2702. 1:34:36oglala
  2703. 1:34:37lot and northern Cheyenne organizer who
  2704. 1:34:41is the executive director of honor the
  2705. 1:34:43earth a national organization promoting
  2706. 1:34:45the indigenous sovereignty that has been
  2707. 1:34:47leading the fight against data centers.
  2708. 1:34:50Wow.
  2709. 1:34:51>> Yeah. And you know,
  2710. 1:34:52>> praise be praise be to the to the
  2711. 1:34:53indigenous people, man.
  2712. 1:34:54>> People are getting the pauses and stuff.
  2713. 1:34:56We we keep track of those stats inside
  2714. 1:34:58my map as well. But um those numbers are
  2715. 1:35:01climbing and the people are showing up.
  2716. 1:35:04>> Amen.
  2717. 1:35:05>> And they are making that change. But
  2718. 1:35:08again, you know, listen, my dad taught
  2719. 1:35:10me growing up in Kansas, the most
  2720. 1:35:11valuable gifts we have, land, air,
  2721. 1:35:13water, your health, all of that is at
  2722. 1:35:15stake at once.
  2723. 1:35:17>> Wow. That's a great way to put it. Aaron
  2724. 1:35:19Brochovich, thank you so much for your
  2725. 1:35:20time. Thanks for coming and spending
  2726. 1:35:22time with us.
  2727. 1:35:23>> I I enjoyed it. Thanks. This is I love
  2728. 1:35:26how you're doing this. It was great. I
  2729. 1:35:28enjoyed it.
  2730. 1:35:29>> Well, we might have been inspired by you
  2731. 1:35:32at some point in your life story. That's
  2732. 1:35:33it. Certainly could have happened.
  2733. 1:35:35>> What
  2734. 1:35:35>> just that like seeing things, you know,
  2735. 1:35:37watching your story play out um over the
  2736. 1:35:41years just, you know, it's like just you
  2737. 1:35:42never know who you could inspire, you
  2738. 1:35:44know, just like having a voice, somebody
  2739. 1:35:46having a voice, you know. I mean, I saw
  2740. 1:35:48the, you know, I saw the um
  2741. 1:35:50>> your movie when I was growing up or and
  2742. 1:35:52so
  2743. 1:35:52>> that's right. I'm reminded you're
  2744. 1:35:54probably the age of my grandchildren.
  2745. 1:35:56>> No, not at all.
  2746. 1:35:57>> I began my work I was 31. Listen, I'm 66
  2747. 1:36:00now with five grandkids. Yeah.
  2748. 1:36:02>> I got a real good vision over a 30-year
  2749. 1:36:04period of what's going on out there when
  2750. 1:36:06it comes to the environment.
  2751. 1:36:08>> But I'll tell you, um I don't know that
  2752. 1:36:10communities know
  2753. 1:36:12>> um how they've inspired me. And when we
  2754. 1:36:15can inspire each other and again that
  2755. 1:36:19that collective what you're watching
  2756. 1:36:21happening with the data centers that's
  2757. 1:36:24that's what makes change and and when
  2758. 1:36:26we're united and when we're not divided.
  2759. 1:36:29>> Amen.
  2760. 1:36:29>> The inspiration we give each other and
  2761. 1:36:31the difference we can make.
  2762. 1:36:32>> Amen. And thank you for coming here
  2763. 1:36:35today and sharing that message and
  2764. 1:36:36sharing information. Um, what what was
  2765. 1:36:38one thing like what was one negative
  2766. 1:36:40side effect of your story going to the
  2767. 1:36:43level of like a movie level like you
  2768. 1:36:45know and I think it was was that an
  2769. 1:36:47award-winning film?
  2770. 1:36:48>> She won best actress. We almost got best
  2771. 1:36:51picture too. Um, but another one of
  2772. 1:36:53Steven Soderberg's film do but we got
  2773. 1:36:55best direction, best writing, best
  2774. 1:36:58screenplay, best actress.
  2775. 1:37:00>> Aaron Brockovich nominated for five
  2776. 1:37:01Academy Awards including best picture,
  2777. 1:37:03best director and best original
  2778. 1:37:04screenplay. Um, did uh Julie Roberts won
  2779. 1:37:08an Oscar for best actress. Did Did you
  2780. 1:37:11uh Yeah. Was there was there some I
  2781. 1:37:13don't mean negative. I guess that's not
  2782. 1:37:14the best thing, but was there something
  2783. 1:37:15like did you then feel like you had to
  2784. 1:37:17be this larger than life figure? Like
  2785. 1:37:19was there like was there any like cuz
  2786. 1:37:21everything has kind of like different
  2787. 1:37:23things that are part of it, you know?
  2788. 1:37:25>> Um I would just of late I have kind of
  2789. 1:37:30felt maybe what you just said. Um, I
  2790. 1:37:33can't complain about anything from any
  2791. 1:37:35of the communities just to the
  2792. 1:37:38incredible
  2793. 1:37:40I'm just thrilled the story was being
  2794. 1:37:42able to be told. I don't know that it
  2795. 1:37:43would have been my name or I didn't see
  2796. 1:37:46any of this coming, but I'm glad the
  2797. 1:37:49story got out there. But of late now, I
  2798. 1:37:52can look back. Um, it was pretty
  2799. 1:37:53overwhelming for me. And it did come
  2800. 1:37:56with ideas and expectations of who I was
  2801. 1:38:01or wasn't supposed to be or suddenly put
  2802. 1:38:04back into a box of how I was supposed to
  2803. 1:38:07be, which is generally pretty
  2804. 1:38:09frustrating for me.
  2805. 1:38:10>> Yeah.
  2806. 1:38:11>> And it's just been of late. I'm kind of
  2807. 1:38:13looking back and seeing where some of my
  2808. 1:38:16push points were. And it it would be the
  2809. 1:38:19idea and expectation of who I am. And uh
  2810. 1:38:22I'm I'm that same girl. I think everyone
  2811. 1:38:25else I don't know thinks I'm supposed to
  2812. 1:38:27what I don't know dress like a Hollywood
  2813. 1:38:29star or be perfect like that or I don't
  2814. 1:38:32know
  2815. 1:38:32>> or be like a lawyer. Yeah. Or be like
  2816. 1:38:34some you know I Yeah. I just wonder like
  2817. 1:38:36is there was there certain energies cuz
  2818. 1:38:37I find in my life at times it's like you
  2819. 1:38:39know I think you get to certain points
  2820. 1:38:41your life well who am I supposed to be
  2821. 1:38:42and you look at certain things you're
  2822. 1:38:43like well does that define me or is that
  2823. 1:38:45just part of something that happened and
  2824. 1:38:46what's going on? And I think we all kind
  2825. 1:38:48of go through those things.
  2826. 1:38:50>> We do. And I I've been through it. But
  2827. 1:38:52again, I'm fascinated with the data
  2828. 1:38:54centers because somehow
  2829. 1:38:57this has hit me like Hinckley did. And
  2830. 1:39:00I'm just showing up as that person again
  2831. 1:39:03>> and it kind of resonated with me. I I
  2832. 1:39:08may have lost a little bit of who that
  2833. 1:39:10person was,
  2834. 1:39:12>> but these data centers is bringing me
  2835. 1:39:14right back to it. Right back to it.
  2836. 1:39:16right back to what matters, the land,
  2837. 1:39:17the air, the water, the people, our
  2838. 1:39:20health, humanity. And I'm in my legacy
  2839. 1:39:22phase. And for me, this is worth
  2840. 1:39:24fighting for. I don't want my
  2841. 1:39:26grandchildren to to grow up.
  2842. 1:39:28>> Yeah. With data stuck in them. Yeah.
  2843. 1:39:31>> I don't
  2844. 1:39:31>> Amen. Well, I'm so glad that it is. I'm
  2845. 1:39:34so glad for your work and uh your
  2846. 1:39:36insight.
  2847. 1:39:36>> Thank you for having me.
  2848. 1:39:37>> I'm so glad for your time today. Tell
  2849. 1:39:39your uh children thank you for their
  2850. 1:39:41service. Uh Aaron Brochovich, um let's
  2851. 1:39:44keep in touch. I would like that.
  2852. 1:39:52[music]
  2853. 1:39:52>> I must be corner stone.
  2854. 1:39:57Oh, but when I [music] reach that
  2855. 1:39:59ground, I'll share this piece of mind I
  2856. 1:40:02found. I can feel it in my bones,
  2857. 1:40:07but it's going to take

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