YouTube2Text

Matt Taibbi: How the Left lost its mind — Transcript

by ReasonTV · 9,579 words · 1,426 segments · language en · Watch on YouTube

Full transcript

  1. 0:00Elon Musk spoon fed you his
  2. 0:02cherry-picked information which you must
  3. 0:05have suspected promotes a slanted
  4. 0:06viewpoint or at the very least generates
  5. 0:09another right-wing conspiracy theory
  6. 0:10this isn't just a matter of what data
  7. 0:12was given to these so-called journalists
  8. 0:14before us now my name is Matt taibi I'm
  9. 0:17not a so-called journalist I've won the
  10. 0:19national magazine award the I have stone
  11. 0:21award for independent journalism and
  12. 0:23I've written 10 books including four New
  13. 0:25York Times bestsellers before Matt taibi
  14. 0:28was sparring with Democratic members of
  15. 0:30Congress on Capitol Hill earlier this
  16. 0:32year over the Twitter files he was a
  17. 0:34darling of the progressive left
  18. 0:36appearing regularly on shows like
  19. 0:38democracy Now Bill Moyers and Rachel
  20. 0:41Maddow Matt taibi his new article for
  21. 0:44Rolling Stone magazine why isn't Wall
  22. 0:46Street in jail the Bush Administration
  23. 0:49these are people some of the people
  24. 0:50these they're some of the greatest Liars
  25. 0:52in the history of politics and even they
  26. 0:54couldn't come up with a connection
  27. 0:55between Al-Qaeda and and Saddam Hussein
  28. 0:58though he was always a fierce crit of
  29. 1:00the democratic establishment the rise of
  30. 1:02Donald Trump suddenly meant that anyone
  31. 1:04nominally left of center even
  32. 1:06Progressive journalists like taibi were
  33. 1:09expected to support Hillary Clinton
  34. 1:11unconditionally so when he attacked her
  35. 1:13as a sellout argued that the russiagate
  36. 1:16narrative was mostly [ __ ] and
  37. 1:18equated the manipulative tactics of both
  38. 1:21right and left media personalities he
  39. 1:23found himself cold-shouldered by
  40. 1:24progressives and Democrats started
  41. 1:27treating him like a puppet for the right
  42. 1:29do you think it's a legitimate objective
  43. 1:32of the FBI to stop foreign interference
  44. 1:35in our elections I think it's the
  45. 1:37legitimate objective to stop actual
  46. 1:39foreign interference okay
  47. 1:41I mean I don't know what the difference
  48. 1:43is but that's fine in 2020 taibi started
  49. 1:46publishing his work on substack and
  50. 1:49quickly became one of the platform's
  51. 1:50most popular writers earning far more
  52. 1:53Revenue than he ever did at Rolling
  53. 1:55Stone
  54. 1:55yourself posted on your your
  55. 1:59um I guess it's kind of like a web page
  56. 2:00and don't quite understand what substack
  57. 2:02is but it became even more of a parai by
  58. 2:05publishing exhaustive reports that
  59. 2:07documented extensive governmental
  60. 2:09interference seeking to control what was
  61. 2:12said on Twitter about covid-19 and
  62. 2:15efforts by Russia to influence U.S
  63. 2:17elections Congressional Democrats
  64. 2:19pilloried him as a fake journalist a
  65. 2:22Putin apologist and a stooge for Elon
  66. 2:25Musk it's quite obvious that you've
  67. 2:26profited from the Twitter files it's
  68. 2:29probably a wash honestly didn't you
  69. 2:31consider Mr must to be the direct source
  70. 2:33of all this no now you're you're trying
  71. 2:36to get me to say that he is the source I
  72. 2:38I I well
  73. 2:40he's a journalist and he can't because
  74. 2:43either musk is the source and he can't
  75. 2:44talk about it or musk is not the source
  76. 2:46and if musk is not the source then he
  77. 2:49can discuss no one has yielded the
  78. 2:50gentle lady's out of order but he said
  79. 2:52is he's not going to reveal his source
  80. 2:54and the fact that Democrats are
  81. 2:55pressuring
  82. 2:58reason caught up with taibi at Freedom
  83. 3:01Fest in annual Gathering help this year
  84. 3:03in Memphis to talk about the new
  85. 3:05challenges to free speech white Legacy
  86. 3:07Media is dying and how identity politics
  87. 3:10are poisoning political discourse
  88. 3:17Matt taibi thanks for talking to reason
  89. 3:20so great to talk to you again nick uh so
  90. 3:23let's talk about the Twitter files first
  91. 3:25when you went into the you know kind of
  92. 3:29sealed room and things like that what
  93. 3:31were you expecting to find
  94. 3:34not much
  95. 3:36um
  96. 3:37I went into the Twitter files with a
  97. 3:40very old school
  98. 3:42um Antiquated kind of First Amendment
  99. 3:45conception of what we might find or you
  100. 3:50know or what questions we might answer
  101. 3:52we discussed with Twitter's management
  102. 3:55the idea of focusing on the suppression
  103. 3:59of the hunter Biden story mainly because
  104. 4:03um Mark Zuckerberg had given an
  105. 4:04interview
  106. 4:06uh and had testified before Congress in
  107. 4:08which he suggested that the FBI had
  108. 4:12tipped him off about that story so I
  109. 4:13thought
  110. 4:14if there were those kinds of
  111. 4:16communications with Twitter this might
  112. 4:18be where we found them uh and I wanted
  113. 4:21to know what those Communications look
  114. 4:24like
  115. 4:24uh
  116. 4:26as we discovered there we we didn't find
  117. 4:28them in that case but we found an
  118. 4:31enormous quantity of quantity of them
  119. 4:33elsewhere and it turned into a much more
  120. 4:36complicated story than I anticipated
  121. 4:38does it I mean like does the Twitter
  122. 4:41files really is it the final nail in the
  123. 4:44coffin of the idea that there is a clean
  124. 4:47distinction between the government and
  125. 4:49the media you know because that kind of
  126. 4:52informed for a long time you know if you
  127. 4:54if you think back to like the Pentagon
  128. 4:55papers or something it's like well the
  129. 4:57New York Times is separate from the
  130. 4:59government and it's not communicating in
  131. 5:02the way that it seemed like you know in
  132. 5:04the Twitter files it's like there are
  133. 5:06tons of people at Twitter saying hey FBI
  134. 5:08or whatever take a look at this and then
  135. 5:10various government actors are saying hey
  136. 5:13you really need to look at this and do
  137. 5:15something about it
  138. 5:17I I would say that it puts the final
  139. 5:20nail on the coffin of that narrative I
  140. 5:24actually feel guilty for being naive
  141. 5:26about that
  142. 5:27um again I grew up in the media my
  143. 5:30father was you know in television and I
  144. 5:32was around newsrooms most of my
  145. 5:34childhood the idea that the FBI might
  146. 5:37call up and say Hey you might want to
  147. 5:40think about not doing this story
  148. 5:42that would be crazy I can't I I couldn't
  149. 5:45have even imagined an editor or a news
  150. 5:47director who would have even taken that
  151. 5:50call uh you know in that way and we
  152. 5:54found in the Twitter files all kinds of
  153. 5:56things that suggested that this
  154. 5:58relationship was not only uh tolerated
  155. 6:01but that it was ongoing regular and
  156. 6:06collusive in a way that was kind of
  157. 6:08shocking to me I think what's a specific
  158. 6:10example of that a great example of this
  159. 6:12was the um the Aspen Institute tabletop
  160. 6:17exercise which was technically not set
  161. 6:20up by the government
  162. 6:22it was set up by the Aspen Institute
  163. 6:26which is funded by the government in
  164. 6:28collaboration with some
  165. 6:31um academic institutions that had been
  166. 6:33briefed by the FEC and some government
  167. 6:36agencies but they all got together
  168. 6:39before the release of the hunter Biden
  169. 6:42story they were briefed by current and
  170. 6:45former government officials who talked
  171. 6:48about the possibility that a hack and
  172. 6:51leak story involving Hunter Biden and
  173. 6:54barisma might come out and they kind of
  174. 6:56war game the possibility of what to do
  175. 6:59about that story and then a month later
  176. 7:01that story happens now for me
  177. 7:05if I had been in that room
  178. 7:07and that story actually happened a month
  179. 7:10later I would feel obligated to do a
  180. 7:12story about that tabletop exercise I
  181. 7:15would say hey what a weird coincidence
  182. 7:16that this thing happened but these
  183. 7:18people had you know an off the Record
  184. 7:21arrangement with everybody they were in
  185. 7:23the room with and they
  186. 7:25um they kept to it they kept quiet and
  187. 7:28you know that's a completely new level
  188. 7:31of cooperation and coordination that you
  189. 7:33know I would never have imagined and I
  190. 7:35mean what did I guess did it work or did
  191. 7:39it not to suppress the story because
  192. 7:41that I mean this is a slightly different
  193. 7:43question like was it a Streisand effect
  194. 7:45where you know the New York Post
  195. 7:47publishes something about Hunter Biden a
  196. 7:49couple weeks before the election and
  197. 7:50people are like yeah you know it's the
  198. 7:52New York Post but then I remember like
  199. 7:55going to Twitter when I heard about it
  200. 7:56and then it was like you can't link to
  201. 7:58it from Twitter or anything and that was
  202. 8:01really chilling like that was the first
  203. 8:02time I felt I was in like an Orwell
  204. 8:04novel or something where it's like what
  205. 8:06do you mean like you can't
  206. 8:08you can't link to it or discuss it on
  207. 8:10Twitter but
  208. 8:11you know I mean do you think did it work
  209. 8:14first and then let's talk about like why
  210. 8:16they thought it might or might not have
  211. 8:18I'm not sure I mean I I think that would
  212. 8:21be worth studying yeah it would be
  213. 8:23interesting to do some surveys about
  214. 8:25that and find out
  215. 8:27um what the actual impact of that was uh
  216. 8:30I think overall in the long run
  217. 8:32certainly that story got more attention
  218. 8:35um than it would have absent this
  219. 8:37however we're also learning uh you know
  220. 8:41I think there's more about that story
  221. 8:43that's going to come out fairly soon
  222. 8:46my understanding is that there are some
  223. 8:48depositions that are on underway that
  224. 8:50there are things that are happening in
  225. 8:51Washington where some of those
  226. 8:54committees uh you know that are
  227. 8:56oversight committees are still looking
  228. 8:57at that issue and the stuff that was on
  229. 9:00the laptop because we didn't know a
  230. 9:01whole lot when that first story came out
  231. 9:03all we knew was that they found the
  232. 9:04laptop they didn't know a whole lot
  233. 9:06about whether any of those emails were
  234. 9:09meaningful
  235. 9:11um all we knew was that we had some some
  236. 9:13racy looking pictures it was
  237. 9:15embarrassing
  238. 9:17um but you know it's going to take some
  239. 9:19hardcore investigation to to find out
  240. 9:22whether there's anything behind that and
  241. 9:24that process in many cases takes years
  242. 9:28I would just say they probably were
  243. 9:30effective installing that you know
  244. 9:33um also there's the alternate
  245. 9:36um
  246. 9:36story where they
  247. 9:39told people in mainstream media that
  248. 9:42this was Russian disinformation and I
  249. 9:44think that was effective with Biden
  250. 9:46voters like that story had an effect in
  251. 9:50getting people to ignore the idea that
  252. 9:51this was anything worth paying attention
  253. 9:53to you I mean you obviously kind of
  254. 9:55started your career in Russia you know
  255. 9:58in in the post-soviet world was this
  256. 10:01kind of collusion between the government
  257. 10:03and news was that taken for granted
  258. 10:05there I mean is this are we looking like
  259. 10:08you know Russia and I don't know you
  260. 10:10know in the late 90s or something yeah
  261. 10:12like 1999 2000 I think that was when you
  262. 10:16first started to see directly
  263. 10:19um
  264. 10:20you know the news stations resembling
  265. 10:24um
  266. 10:25basically press releases for the Kremlin
  267. 10:27in the in the mid to late Yeltsin years
  268. 10:30the Press was sort of stratified and
  269. 10:33fractured each of the different news
  270. 10:35companies was was basically backed by a
  271. 10:37different mob and or Mafia interest
  272. 10:41um and they all had their own ties to
  273. 10:44yelts and but basically you were looking
  274. 10:47at the point of view or this or that
  275. 10:50oligarch when you watch the news when
  276. 10:52Putin came to power one of the first
  277. 10:55things he did is he really Consolidated
  278. 10:57the media landscape he cracked down on
  279. 11:02companies like enteve which is one of
  280. 11:04the last Independence stations and he
  281. 11:07got it so that there was basically no
  282. 11:09dissent in Russian media and it's
  283. 11:13beginning to feel a little bit like that
  284. 11:14although it's it's not because like if
  285. 11:17you you know if if you descend from you
  286. 11:20know Biden you're going to start eating
  287. 11:21polonium without knowing it right so
  288. 11:24right can you discuss us the like what
  289. 11:26are the steps that are happening you
  290. 11:29know and it's not like against the
  291. 11:30media's interest or or against media
  292. 11:33actors they're like bringing it on and
  293. 11:35Twitter and Facebook was filled with
  294. 11:38people who had been in an Administration
  295. 11:39then moved there to do like you know
  296. 11:41Communications or strategy and it goes
  297. 11:44back and forth like how are we getting
  298. 11:46to a place where Twitter which you know
  299. 11:49its first big Glory was in helping to uh
  300. 11:53kind of platform the Arab Spring and
  301. 11:55like it was good it was great because it
  302. 11:56was anti-government and it was
  303. 11:58anti-censorship and now it's you know
  304. 12:00[ __ ] like doing the the it's you know
  305. 12:03the towel boy for a particular Vision I
  306. 12:06don't want to say the Deep state but
  307. 12:08like of a Centrist kind of mainstream
  308. 12:10ideological politics yeah I think I
  309. 12:13think that's right
  310. 12:14um there's obviously a huge difference
  311. 12:16yeah between what happened in Russia I
  312. 12:19mean I I knew people like Anna
  313. 12:21polacowska who you know got murdered
  314. 12:24under of the Putin regime there were a
  315. 12:27couple of others I knew who had had some
  316. 12:29pretty unfortunate Fates nobody's
  317. 12:31getting shot in their doorway right you
  318. 12:33know in the United States but that's
  319. 12:35actually one of the more depressing
  320. 12:36Parts about our story is that this is
  321. 12:38all voluntary what's going on
  322. 12:41um the overall The overarching Narrative
  323. 12:44that we
  324. 12:46um
  325. 12:46collectively working on the Twitter
  326. 12:49files decided was happening was that
  327. 12:53there was a huge
  328. 12:55infrastructure that had been built up
  329. 12:57for counter proliferation
  330. 12:59counter-terrorism within the government
  331. 13:02it was aimed at the messaging apparatus
  332. 13:05of groups like Isis
  333. 13:07to prevent uh you know this successful
  334. 13:11recruitment of white kids and Suburban
  335. 13:14England and California well when you
  336. 13:18know that threat dissipated they moved
  337. 13:19over to populism in the United States
  338. 13:22and because as you say
  339. 13:25Twitter which had been this incredible
  340. 13:28Force for you know Anarchy and the you
  341. 13:32know the
  342. 13:34um irrepressible political urges of the
  343. 13:36population and the Arab Spring it kind
  344. 13:39of came out again with Trump I mean
  345. 13:41Trump bypassed the the ordinary media in
  346. 13:452016 and his
  347. 13:47um amazing Insight was that I can just
  348. 13:51use my own Twitter account and I'll have
  349. 13:54much more reach than all of these
  350. 13:56different stations combined and I think
  351. 13:58that freaked out a lot of people in
  352. 14:00power and and what we saw in the Twitter
  353. 14:03files essentially was a long
  354. 14:06um period of rollback which they
  355. 14:09achieved through various different means
  356. 14:10did they do that and I realized you you
  357. 14:14may not be in a position to uh know but
  358. 14:17like did they do that against the wishes
  359. 14:19of people like Jack Dorsey and the top
  360. 14:22kind of creators of Twitter you know
  361. 14:24because there's one one narrative which
  362. 14:26is that what's going wrong and kind of
  363. 14:28social media companies it's not the
  364. 14:30people at the top or who started it but
  365. 14:31it's like mid-level managers who are all
  366. 14:34like you know what we are good liberal
  367. 14:36slash progressives and you know we're
  368. 14:39really scared of like America and so we
  369. 14:42are going to censor people and you know
  370. 14:44Dorsey and these other guys are kind of
  371. 14:46walking around the c-suite like Howard
  372. 14:48Hughes they don't and they they're like
  373. 14:50oh you know we don't have any power I
  374. 14:52mean who was who made these kind of
  375. 14:54operative decisions
  376. 14:57it's funny
  377. 14:58um before the first Twitter files I had
  378. 15:01one fairly senior Twitter executive joke
  379. 15:05to me that Jack Dorsey was more like the
  380. 15:07company's spirit animal than its CEO
  381. 15:10yeah um I had talked to Jack before I I
  382. 15:13like him I think he's uh at heart got a
  383. 15:18lot of sympathy for uh Free Speech
  384. 15:21principles I think they were important
  385. 15:22to him yeah
  386. 15:24um but if you look at the Twitter files
  387. 15:25you see that he's not in the loop of a
  388. 15:28lot of these key decisions the things
  389. 15:30that happened
  390. 15:32particularly around that one incident
  391. 15:35involving the hunter Biden story he was
  392. 15:38definitely not involved in that one of
  393. 15:40the weird ways that I know about that is
  394. 15:42because I have found believe it or not
  395. 15:46uh on my first day looking at the
  396. 15:48Twitter files that Jack Dorsey had
  397. 15:51forwarded to Vijaya God the woman who's
  398. 15:54basically running things one of my
  399. 15:57articles complaining about
  400. 15:59um you know the
  401. 16:01censorship of that article
  402. 16:04he was definitely a free speech Advocate
  403. 16:06but he was not
  404. 16:09um he he really wasn't at the helm when
  405. 16:11they came to the decision to take Trump
  406. 16:14off the platform
  407. 16:16um you know I think he was dragged
  408. 16:19Kicking and Screaming to that decision
  409. 16:20and uh most of the company was was
  410. 16:24against him at that point yeah
  411. 16:27um with the uh kind of Russia gate or
  412. 16:30you know the russiagate narrative is
  413. 16:32that the Russians wanted and correct me
  414. 16:36or you know massage this into what you
  415. 16:39believe you know is that Russia was
  416. 16:42proactive they wanted Trump to win and
  417. 16:44they were going to end more than that it
  418. 16:47was also that the Trump campaign was
  419. 16:48actively working with them and that
  420. 16:52seemed is that like the hinge point of
  421. 16:55like we're gonna look back and there's
  422. 16:57like media before
  423. 16:592016 and after and how did how did the
  424. 17:03Russia gate story spin out because I
  425. 17:06mean there have been tons of
  426. 17:07congressional investigations and others
  427. 17:09and like they've really come up with
  428. 17:10nothing in terms of collusion right so
  429. 17:13why is it you know why did it get
  430. 17:16started and then why is it persisting
  431. 17:18after like you know just we got nothing
  432. 17:21except you know wish a dream a desire
  433. 17:24that it's true
  434. 17:26well the Russian gate story oddly enough
  435. 17:29became
  436. 17:30um sort of involuntarily uh very
  437. 17:33important in my life personally I think
  438. 17:35it's really the reason I ended up
  439. 17:37leaving mainstream media where I was
  440. 17:40very happy I had a uh you had the job
  441. 17:43everybody wanted right yeah I mean yeah
  442. 17:45I mean who doesn't want to be the
  443. 17:47campaign reporter for Rolling Stone
  444. 17:49magazine right it's like the coolest
  445. 17:50thing in the world that's one of the
  446. 17:51iconic gigs you can have
  447. 17:54um but when the uh the rush kit story
  448. 17:57happened as you mentioned there were
  449. 18:00really two different story lines one was
  450. 18:03that Russia had interfered somehow and
  451. 18:05they had a couple of different
  452. 18:06inflection points that they were looking
  453. 18:08at there was the hack
  454. 18:10um dunno was working with Wikileaks and
  455. 18:12you know some other things but the more
  456. 18:15important narrative that I thought
  457. 18:18um they were pushing was this idea of
  458. 18:21collusion and I never saw anything that
  459. 18:24indicated anything like heart proof for
  460. 18:26that and
  461. 18:28um I at first all I said I wrote a
  462. 18:32couple of various gentle columns in the
  463. 18:34beginning saying this looks a little bit
  464. 18:37like the wmd mistake where we have an
  465. 18:40awful lot of anonymous
  466. 18:42State officials who are telling us
  467. 18:45things that we can't reproduce in the
  468. 18:48laboratory independently there's no way
  469. 18:50to check this story right but everybody
  470. 18:52was going for it and I think you know
  471. 18:55it's as simple as people thought
  472. 18:59everything was permitted in pursuit of
  473. 19:02getting rid of Donald Trump I mean there
  474. 19:04was a very influential article in the
  475. 19:07New York Times in August of 2016 called
  476. 19:09uh Trump is testing the Norms of
  477. 19:11objectivity in journalism and uh the
  478. 19:14columnist Jim Rutenberg argued
  479. 19:17we can't just be true anymore we have to
  480. 19:19be true to history's judgment and so and
  481. 19:22that's also great where Trump was uh you
  482. 19:26know it's just so weird like everybody's
  483. 19:27like he is destroying Norms therefore we
  484. 19:30are going to throw over our Norms Pro
  485. 19:33preemptively to get rid of him and it's
  486. 19:35like okay yeah whatever I mean it like
  487. 19:38it worked great in Iraq right preemptive
  488. 19:40War preemptive war against Trump has
  489. 19:42worked out pretty well
  490. 19:44it's like they're incapable of learning
  491. 19:46anything you know from any of these
  492. 19:48mistakes and and with the Russian gate
  493. 19:51thing it was like it was happening in
  494. 19:53slow motion the entire time I mean they
  495. 19:57kept stepping in it one story after
  496. 19:59another and instead of walking it back
  497. 20:03or
  498. 20:05um you know re-examining the evidence uh
  499. 20:09they would double down they would say
  500. 20:11what I realize this is you know asking
  501. 20:14us psychologize but like why was why
  502. 20:17were mainstream people and it's you know
  503. 20:20mostly it's kind of like liberal
  504. 20:21Centrist liberals uh Legacy Media types
  505. 20:25but also you know I don't know like
  506. 20:27people in newer Publications like they
  507. 20:30wanted that to be true and it was like
  508. 20:32I'm old enough to remember reruns of I
  509. 20:35Dream of Jeannie or like Three's Company
  510. 20:37where it's like every week Mr Roper is
  511. 20:39finally going to catch Jack Tripper in a
  512. 20:42homosexual tryst and that would never
  513. 20:44happen yeah and like you know Dr Bellas
  514. 20:46is you know this time he's got Tony down
  515. 20:48to rights and it's like it never
  516. 20:50happened and you would think
  517. 20:5215 times in you'd be like yeah maybe I
  518. 20:54you know let's write a different plot
  519. 20:56right right exactly you still enjoy the
  520. 20:59show though yeah that's true that's true
  521. 21:01right yeah and and
  522. 21:03um you know and they're still doing it
  523. 21:05right they are still doing it uh if you
  524. 21:08go back and look you could see why it
  525. 21:10was compelling television you can see
  526. 21:12why MSNBC shot to the top of the ratings
  527. 21:14for the first time in 20 years uh this
  528. 21:17looked like you know the end of the
  529. 21:19world this was the millerite prediction
  530. 21:21you know of you know the world was going
  531. 21:24to come to the to an end and it was
  532. 21:26going to happen on live TV and you
  533. 21:27better not turn it off because you know
  534. 21:29it might happen while over on the air
  535. 21:31right they would even do if you watch
  536. 21:33the the tosses between one show to
  537. 21:36another
  538. 21:37um they would sort of guide you from one
  539. 21:40show to the next and warn you that you
  540. 21:43better not turn the dial because between
  541. 21:46Lawrence O'Donnell and Rachel it might
  542. 21:48happen you know and
  543. 21:50um this was very compelling TV I yeah I
  544. 21:53understand why they did it but the
  545. 21:55problem was you know you were setting
  546. 21:58yourself up you were writing checks that
  547. 22:00you were going to have to cash at some
  548. 22:01point and you know that's a very
  549. 22:04dangerous place to be I mean one of the
  550. 22:05things I always liked about journalism
  551. 22:07is that when you're done with the story
  552. 22:09it's done you're you know you go to
  553. 22:12sleep and you don't have to think about
  554. 22:13it anymore this thing was like the sort
  555. 22:15of Damocles like hanging over the whole
  556. 22:17business and I I don't understand what
  557. 22:20people were thinking I know a lot of the
  558. 22:22Old Timers were were very worried about
  559. 22:25it but but they're kind of all gone
  560. 22:27they're all gone exactly yeah so
  561. 22:31um you know with the is
  562. 22:33you know does what's interesting is that
  563. 22:36Russia gate was primarily among liberals
  564. 22:38who you know and none of this I guess is
  565. 22:40true but like during the Cold War it was
  566. 22:42like well the conservatives were The
  567. 22:43Real Americans and they understood that
  568. 22:45the Soviet Union and and you know by
  569. 22:47extension the Russian people were evil
  570. 22:49and you can't really do business with
  571. 22:51evil and the Liberals were more like no
  572. 22:53you know we have to work peacefully and
  573. 22:55now it's weird because it's liberals who
  574. 22:57are like Russia Russia Russia like
  575. 23:00they're evil and now we have
  576. 23:01conservatives who are like you know
  577. 23:03Putin you know get Putin a chance or
  578. 23:05something like you know how do you
  579. 23:08explain like these weird flips it's like
  580. 23:11you know what every million years or
  581. 23:14something the the North and South Pole
  582. 23:16flip and then you but then it feels like
  583. 23:18okay it's always been this way like
  584. 23:20where is that coming from
  585. 23:22well I originally thought it was because
  586. 23:24I had gone crazy like that something was
  587. 23:27wrong with me personally I think that
  588. 23:28was a common experience of a lot of
  589. 23:30people like it must be me like this this
  590. 23:33must all make sense somewhere
  591. 23:35um outside of my understanding but if
  592. 23:38you look back I can't remember which one
  593. 23:40of them said it I feel like it's either
  594. 23:41Jim Clapper or Ted Lou but there was a
  595. 23:44prominent politician it said something
  596. 23:46like the Russian is genetically
  597. 23:48predisposed to deceive or something like
  598. 23:50that like this was a comment a
  599. 23:53politician made and it flew all over
  600. 23:56social media and it wasn't condemned it
  601. 23:59was like you know sort of upheld
  602. 24:02um and again as you say back in the
  603. 24:04Soviet days one of the principal liberal
  604. 24:09um ideas was that you know the the
  605. 24:12Russian person is not guilty right there
  606. 24:14was the sting song You Know Russian
  607. 24:16mothers love their children too right
  608. 24:18exactly that was that was staying and
  609. 24:20you know Richard Pryor said you know hey
  610. 24:23if you don't have that hat on I don't
  611. 24:25know I don't know the Russians don't
  612. 24:26have the Hat on I don't know who the
  613. 24:28[ __ ] he is yeah like they're just people
  614. 24:30just like us
  615. 24:32um that all went out the window when
  616. 24:33this started and why I have no idea
  617. 24:37um you let's talk a little bit about
  618. 24:38leaving Rolling Stone uh when when did
  619. 24:41you leave exactly
  620. 24:43uh I guess I left in 2019 right and you
  621. 24:47you went to substack immediately you
  622. 24:50were one of the original people which
  623. 24:52also was fascinating when subsex started
  624. 24:55and then when it came out they were
  625. 24:57paying some people then there was like
  626. 24:59again from kind of Legacy Media or like
  627. 25:01Cub reporters who were pissed they
  628. 25:03weren't getting 200 Grand advances we're
  629. 25:06like that's wrong like why should people
  630. 25:08be paid to do independent journalism
  631. 25:10right it was bizarre but what led to the
  632. 25:13rupture with rolling stone because like
  633. 25:15you were saying I mean you know that
  634. 25:16what a great position to be in
  635. 25:19um you know it's a it's a coveted slot
  636. 25:21Rolling Stone it's weird because yeah
  637. 25:23when it started in 67 but it quickly
  638. 25:26became like mainstream publication
  639. 25:29mainstream journalism what led to the
  640. 25:31rupture there
  641. 25:32yeah first of all I love Rolling Stone I
  642. 25:36I'll always have a soft spot in my heart
  643. 25:38for it I think it had
  644. 25:40um a couple of really long hey days
  645. 25:43where it did unbelievable work it was
  646. 25:47great as music journalism for a long
  647. 25:49time it was it was Innovative in
  648. 25:52bringing it
  649. 25:53um Hunter Thompson's style of writing to
  650. 25:57political journalism and I think you
  651. 25:59know that's become iconic now right they
  652. 26:03brought pgr work in uh then you know
  653. 26:06when I was there in the early 2000s and
  654. 26:10mid-2000s the owner John wenner was
  655. 26:15absolutely against a lot of the stuff
  656. 26:17that I wrote Because I was reporting on
  657. 26:19financial corruption that didn't look
  658. 26:21good for the Democratic party
  659. 26:23um sometimes but he was cool with it
  660. 26:26he's you know that was a rare thing like
  661. 26:28in journalism it's not often when your
  662. 26:30boss says I hate this but go for it you
  663. 26:32know
  664. 26:33um that's what makes a magazine great
  665. 26:35and
  666. 26:36but that started to change I think after
  667. 26:38Trump everybody's tolerance for
  668. 26:42um you know sort of exploring different
  669. 26:44points of view kind of dried up and I
  670. 26:47didn't leave because I was pressured or
  671. 26:50pushed out the door it was really more
  672. 26:52that I had a sense that there was
  673. 26:56something more lucrative and more
  674. 26:57rewarding out there on the independent
  675. 27:00front
  676. 27:01um so are you making more money on
  677. 27:04substack than you were for Rolling Stone
  678. 27:05a lot more really can you say how much
  679. 27:08more like I I don't want to say make us
  680. 27:11all feel bad not just me but the camera
  681. 27:13guys for let's just say that I'm making
  682. 27:16many times over more than I was making
  683. 27:18at Rolling Stone what do you what
  684. 27:20accounts for that I mean part of it is
  685. 27:22sub stack I mean the code they kind of
  686. 27:24cracked was allowing people to be able
  687. 27:26to easily monetize an audience right but
  688. 27:30you know what I mean how how do you
  689. 27:33account for like the idea so basically
  690. 27:35what you showed and you know I think
  691. 27:37Mata glasius leaving Vox has done this
  692. 27:40um I think Glenn Greenwald it's
  693. 27:42interesting since he started the
  694. 27:44intercept and then was like God I hate
  695. 27:45this place and the feelings were mutual
  696. 27:48but like when you get to a place where a
  697. 27:50writer like you somehow if you're making
  698. 27:53you know I don't know five times what
  699. 27:54you were making it Rolling Stone you
  700. 27:56were carrying a ton of people at Rolling
  701. 27:58Stone like what what's the appeal do you
  702. 28:02think like for you Unbound
  703. 28:05well there was a couple of things one
  704. 28:08um any writer who's ever worked for
  705. 28:10editors and I've benefited massively
  706. 28:13from the editors I had like you know
  707. 28:14will Dana Eric Bates right I had great
  708. 28:16editors at Rolling Stone and
  709. 28:19um you know I would never say that
  710. 28:21they're bad for a writer but there is
  711. 28:24something to be said for when you turn
  712. 28:2550
  713. 28:27um and you want to write what you want
  714. 28:28to write about uh and there's nobody to
  715. 28:31say no that feels pretty good and
  716. 28:33sometimes that comes out in the writing
  717. 28:35too by the way do you are you edited now
  718. 28:37or is it like I mean or just copy
  719. 28:39editing or something yeah we do copy
  720. 28:41editing sometimes we do fact checking it
  721. 28:43depends on what kind of piece it is
  722. 28:44because I mean it's fast I I totally and
  723. 28:47I'm 10 years older I think than you or
  724. 28:49roughly so I get that but it's also as
  725. 28:52an editor I like yeah you know my best
  726. 28:55work was done when I had to explain
  727. 28:57myself to a pre-reader on some level
  728. 28:59right right there is some of that you
  729. 29:02know I mean like on on one level yes I
  730. 29:05would love to be writing working with an
  731. 29:07editor
  732. 29:08but a it's an expense B
  733. 29:12there's a speed element now to
  734. 29:15internet publishing that is new
  735. 29:19um even a delay of an hour can be
  736. 29:21consequential and
  737. 29:23how well a piece does and that that's
  738. 29:25that's different how do you describe
  739. 29:28your audience like
  740. 29:29um you know your your sub stock
  741. 29:31subscribers like can you give kind of a
  742. 29:34psychographic of them what you know who
  743. 29:36are the people who are
  744. 29:38reading you and paying you you know
  745. 29:40gratefully out of their own Pockets you
  746. 29:42know tons of dollars
  747. 29:44yeah so my overall list which includes
  748. 29:47the non-paying people I mean it's you
  749. 29:49know it's around four hundred thousand
  750. 29:51four hundred something thousand
  751. 29:53um subscribers now and it's funny
  752. 29:56originally
  753. 29:58um I would say they were all
  754. 30:00sort of Center Lefty people who knew me
  755. 30:04from Rolling Stone but now this is a
  756. 30:08very diverse audience that I have I have
  757. 30:11hardcore Trump supporters I have lots
  758. 30:14and lots of Independents who are like
  759. 30:16disaffected hippies from the 60s who are
  760. 30:20who are full of you know anger about
  761. 30:23what's happened to the Democratic party
  762. 30:25I have Libertarians I have people who
  763. 30:29you know have never been a part of any
  764. 30:31political movement it's really
  765. 30:33interesting actually because of Rolling
  766. 30:35Stone my audience was at was relatively
  767. 30:38homogeneous yeah
  768. 30:40um and that's not the case here how um
  769. 30:43you you mentioned John wenner you know
  770. 30:45who is kind of like a archetypal baby
  771. 30:48boomer right and on late 60s Boomer who
  772. 30:51among other things was you know one of
  773. 30:53those guys who you know is like I'm in
  774. 30:56favor of free speech no matter what
  775. 30:58um one of your most recent pieces or you
  776. 31:01know and like if you read the headlines
  777. 31:02of your subsect of like one is where
  778. 31:04have all the Liberals gone and other is
  779. 31:06get off the first amendment's lawn uh
  780. 31:09why Julian Assange must be freed the
  781. 31:11elite war on free thought like something
  782. 31:13has happened among people who broadly
  783. 31:17call themselves liberals or progressives
  784. 31:18where generationally up through probably
  785. 31:21Gen X that was like
  786. 31:24if not the most important issue like
  787. 31:27free speech Uber all is then it was like
  788. 31:30in the top three for younger people
  789. 31:32maybe it doesn't seem to be as important
  790. 31:36um do you agree with that and if so what
  791. 31:38do you think has shifted that younger
  792. 31:40people who are liberal and Progressive
  793. 31:42may have the exact same political
  794. 31:44commitments as you or like free speeches
  795. 31:46is more of a problem than it is a
  796. 31:48solution
  797. 31:49I'm less in tune with what's going on
  798. 31:52with people who are under 30 and how old
  799. 31:55are you right now I'm 53 okay yeah
  800. 31:59um
  801. 32:00in my generation growing up I didn't
  802. 32:04know anybody who wasn't
  803. 32:06relatively a free speech absolutist
  804. 32:08right like everybody I knew supported
  805. 32:11Frank Zappa and D Snyder and the parent
  806. 32:13against the parents music Resource
  807. 32:15Center we were all in favor of NWA when
  808. 32:17they you know every one of those
  809. 32:19controversies you know to a Live Crew
  810. 32:22yeah right yeah two Live Crew the even
  811. 32:25the tape delay for Richard Pryor when he
  812. 32:27went on Saturday Night Live right stuff
  813. 32:29like that
  814. 32:31um it was automatic it was a defining
  815. 32:33issue for for a generation
  816. 32:37um but there I think has been a Schism
  817. 32:41you know within former liberals
  818. 32:46uh it's it's clearer to me between
  819. 32:49Boomers and gen xers like me you know I
  820. 32:52mean you brought up John wenner there
  821. 32:54was actually a moment at Rolling Stone
  822. 32:56that I think was kind of significant
  823. 32:57where
  824. 32:59um in the primary season
  825. 33:02uh for 2016 Jan did a big official
  826. 33:07Rolling Stone editorial supporting
  827. 33:09Hillary Clinton
  828. 33:11and I was a little bit shocked by that
  829. 33:14given the Magazine's history yeah and I
  830. 33:18went to yawn personally and I said hey
  831. 33:20would you mind if I wrote a descending
  832. 33:21editorial
  833. 33:23and I wrote One in favor of Bernie and
  834. 33:27Jan's whole idea there was that the
  835. 33:31world has changed since uh 1972. George
  836. 33:35McGovern got beat
  837. 33:37um we were wrong then we have to win now
  838. 33:41and winning is the most important thing
  839. 33:44and so forget about idealism and all
  840. 33:47that stuff we cared about in the 60s and
  841. 33:4970s and every and all that I mean I
  842. 33:52thought this is supposed to be a
  843. 33:54magazine for young people theoretically
  844. 33:55right you know how is that gonna fly but
  845. 33:58it did you know um and I I was a little
  846. 34:00bit surprised by
  847. 34:02um the reaction to both my editorial and
  848. 34:05his that's fascinating that he as a
  849. 34:08boomer is like yeah free speech oh you
  850. 34:11know we can leave it
  851. 34:12um because clearly younger Generations
  852. 34:15seem less enamored of that and that's I
  853. 34:17mean one of the things I think about
  854. 34:18people you know squarely on the
  855. 34:21Progressive left like you uh Tom Frank
  856. 34:23Thomas Frank Glenn Greenwald Etc like
  857. 34:26you evolved over the past few years have
  858. 34:29articulate you know broken with identity
  859. 34:31politics can you talk a little bit about
  860. 34:33that and again in terms of policy
  861. 34:37commitments I don't know that you're
  862. 34:38that different but you know why don't
  863. 34:41identity politics resonate with you
  864. 34:46I don't believe a lot of the identity
  865. 34:48politics that are being proffered by the
  866. 34:51current version of the democratic party
  867. 34:53are genuine and my first uh experience
  868. 34:59with this where I really really thought
  869. 35:00about this was when I was following
  870. 35:03Bernie Sanders's campaign in
  871. 35:052016. and there was a moment in that
  872. 35:08campaign where he first started to
  873. 35:09really draw blood against Hillary right
  874. 35:12um You might remember it was like in
  875. 35:14February uh or late January of 2016 he
  876. 35:19was hammering her on her ties to Goldman
  877. 35:22Sachs and other Banks the New York Post
  878. 35:24interestingly did this published this
  879. 35:27big list of all of her speech
  880. 35:29commitments and it was kind of amazing
  881. 35:31and she wouldn't release the transcripts
  882. 35:33right she wouldn't release the
  883. 35:34transcripts but
  884. 35:36um I mean even the schedule was amazing
  885. 35:38she was doing three hundred thousand
  886. 35:40dollars in the morning and then flying
  887. 35:41to some place and doing 400 Grandad or
  888. 35:44something yeah
  889. 35:46circle of the Builder burgers or
  890. 35:48whatever and they tried everything to
  891. 35:51hit back and nothing worked until she
  892. 35:53said
  893. 35:54if we break up the banks tomorrow will
  894. 35:57that end racism
  895. 35:58and Bernie
  896. 36:00was paralyzed by that yeah Bernie's an
  897. 36:03old school he's a real comedy I mean I I
  898. 36:06mean that like where it's class and
  899. 36:09everything else is a distraction right
  900. 36:11that you know you know you know
  901. 36:13capitalists will use race in order to
  902. 36:15keep the workers from realizing no
  903. 36:17they're all on the same side well I I
  904. 36:19would say I almost wish he was that
  905. 36:22because you know Bernie also marched in
  906. 36:24you know in for a civil rights movement
  907. 36:26in the 60s and he was terrified of the
  908. 36:30idea that he might be accused of race
  909. 36:32racism it it mortified him and I think
  910. 36:35it really slowed his campaign though
  911. 36:37yeah I there was also that moment I
  912. 36:40think it might have been in Seattle or
  913. 36:41something where he was almost literally
  914. 36:42pushed off the stage by a couple of
  915. 36:44black activists who were like we need to
  916. 36:46be talking about racial
  917. 36:48concerns not whatever he was talking
  918. 36:51about right not your class thing
  919. 36:53whatever that is right and that and that
  920. 36:55was when they started to
  921. 36:57um sort of demonize the white working
  922. 37:00class right which is a brilliant
  923. 37:01strategic move also interestingly it was
  924. 37:06the exact opposite of what the clintons
  925. 37:07had done in the 90s you know the
  926. 37:10Clinton's whole strategy was let's peel
  927. 37:13off a little bit of that white working
  928. 37:14class and we feel their pain we feel
  929. 37:16their pain right and and that's you know
  930. 37:19they just got over the Finish Line doing
  931. 37:21that and now they
  932. 37:23um so we can add to the sins of Hillary
  933. 37:26Clinton that she also injected identity
  934. 37:28politics I think so I think I think that
  935. 37:31was a conscious thing that they did
  936. 37:34um that they nothing was working for
  937. 37:37them though I mean if you if you read
  938. 37:39those books that one of the books about
  939. 37:41the Hillary campaign there's a hilarious
  940. 37:43chapter where they couldn't come up with
  941. 37:45a slogan because they didn't even know
  942. 37:46what they stood for like they were they
  943. 37:48were toying with it's her turn you know
  944. 37:51um and but this you know this whole idea
  945. 37:55of identity politics being something
  946. 37:57that they could Lord over somebody like
  947. 37:59Bernie who was you know a legitimately
  948. 38:04an oppositional movement and who was
  949. 38:06drawing on this anger the same anger
  950. 38:08that Trump was
  951. 38:09um you know it worked it stopped him in
  952. 38:11his tracks
  953. 38:13um
  954. 38:14the
  955. 38:15um you know let's talk a little bit
  956. 38:17about uh Julian Assange speaking Hillary
  957. 38:20hated Julian Assange because she among
  958. 38:23other things felt embarrassed by him you
  959. 38:26know with the first big wikileaps dump
  960. 38:28uh you know from Chelsea Manning uh you
  961. 38:31know and on from that how do you how do
  962. 38:35you make sense of journalists who
  963. 38:38actually don't think that Julian Assange
  964. 38:40should be like free to walk the planet
  965. 38:44I mean it's stunning because these are
  966. 38:47always the same people are like you know
  967. 38:48the New York Times And The Washington
  968. 38:49Post were so brave you know pushing back
  969. 38:52against the Vietnam War publishing the
  970. 38:54Pentagon papers
  971. 38:56yeah and even publishing Assange at one
  972. 38:59point right
  973. 39:01um
  974. 39:02I remember doing
  975. 39:04um public service announcements with
  976. 39:06other journalists uh I did one that was
  977. 39:10um you know where everybody had to stand
  978. 39:13up and say I am Bradley Manning it was
  979. 39:15Bradley Manning back then uh but there
  980. 39:17were a whole lot of people in the media
  981. 39:19business and in that public service
  982. 39:20announcement because everybody at that
  983. 39:23time believed that of course this is
  984. 39:26right you know we're we're exposing war
  985. 39:28crimes what could be wrong with that
  986. 39:29yeah and there was no question that the
  987. 39:32the files were true like the information
  988. 39:34was accurate nobody had any uh there's
  989. 39:37never been an issue of factuality not
  990. 39:40that I know of with with Wikileaks there
  991. 39:42are some other ethical issues that I you
  992. 39:45know I think are legitimate but with
  993. 39:47factuality no
  994. 39:49but the amazing thing about the reaction
  995. 39:52that journalists have had since the
  996. 39:55indictment is the total inability to to
  997. 39:58see how this relates to the future of
  998. 40:01Journalism I mean they're threatening
  999. 40:03this guy with 175 years in prison for
  1000. 40:06doing basically the same thing that
  1001. 40:08every National Security journalist does
  1002. 40:10every day
  1003. 40:11um you know they're talking about
  1004. 40:14conspiracy to
  1005. 40:16um retain National Defense information
  1006. 40:19or obtaining National Defense
  1007. 40:22information well that happens all the
  1008. 40:25time I mean you this stuff doesn't even
  1009. 40:27have to be classified but we hear
  1010. 40:28classified things all the time when we
  1011. 40:30do reporting if that's going to be a
  1012. 40:32crime you can go to jail for 10 years
  1013. 40:34for and they're going to enforce that
  1014. 40:36how can you do reporting anymore and
  1015. 40:38everybody's all for it does that
  1016. 40:40disappear if Trump disappears I mean is
  1017. 40:44this all kind of an epic phenomenon of
  1018. 40:46trump is so uniquely awful and you know
  1019. 40:49and you have people Hunter Thompson
  1020. 40:51actually I guess said this more with
  1021. 40:53George W bush but that like you know
  1022. 40:55Nixon was bad Nixon you know the scumbag
  1023. 40:57of the universe was bad but George W
  1024. 40:59bush is really bad and I mean is it just
  1025. 41:02I mean I don't know is it like old
  1026. 41:04manism or something where it's like
  1027. 41:05Nixon was bad but Trump is the end of
  1028. 41:08the world and I don't think it's a
  1029. 41:11coincidence that the Obama
  1030. 41:12Administration didn't feel like it had
  1031. 41:14the Jews to indict
  1032. 41:17um Assange as much as they wanted to
  1033. 41:18right um but that after
  1034. 41:21Trump got elected ironically enough it
  1035. 41:24was Trump's own justice department that
  1036. 41:25did it but you know politically there
  1037. 41:28was a lot of support for that after this
  1038. 41:32story in 2016 about you know uh
  1039. 41:35Wikileaks possibly working with the
  1040. 41:37Russians again legally it doesn't matter
  1041. 41:41because the case is about an earlier
  1042. 41:43time period people don't think that way
  1043. 41:45anymore though
  1044. 41:47um so but I think you're right I think I
  1045. 41:48think absent Trump there this wouldn't
  1046. 41:52be happening but Will trump ever go away
  1047. 41:55then or is the threat of the next Trump
  1048. 41:57enough to kind of you know keep huffing
  1049. 42:00this type of
  1050. 42:02anti-first amendment or like where free
  1051. 42:05speech is free speech is negotiable now
  1052. 42:08going forward
  1053. 42:10I think one of the main things and we
  1054. 42:12found in the Twitter files was that if
  1055. 42:15it's not Trump it's something there's
  1056. 42:18always demon X that
  1057. 42:22um their warning audiences away from and
  1058. 42:25they always come up with a word that is
  1059. 42:27sort of a non-negotiable code for threat
  1060. 42:30so it's any vaxer right or domestic
  1061. 42:34violent extremist or insurrectionist or
  1062. 42:37anything you know something along those
  1063. 42:38lines Trump in that sense I think has
  1064. 42:41been an enormous Boon to the
  1065. 42:43intelligence Services they've been able
  1066. 42:45to say hey if you if you code AS
  1067. 42:48somebody who sides with Trump
  1068. 42:50um you know essentially they've created
  1069. 42:55um what I like to call it the sort of
  1070. 42:56one villain theory of the universe which
  1071. 42:58is if you're on Trump's side that means
  1072. 43:01you're on Putin's side which means
  1073. 43:02you're also on Assad side you're on
  1074. 43:04orban's side you're on the side of
  1075. 43:05domestic violence G somehow will end up
  1076. 43:08in that mix too right exactly it's all
  1077. 43:10kind of like an Edible Arrangement right
  1078. 43:12I mean you can just keep adding flavors
  1079. 43:14or something yeah and
  1080. 43:17rationally it's a crazy conspiracy
  1081. 43:19theory but
  1082. 43:21um they actually do
  1083. 43:25denialists and ban and and de-amplify
  1084. 43:28People based on ideas like that uh um
  1085. 43:31you know we're talking in Memphis where
  1086. 43:34Freedom Fest is you're speaking there
  1087. 43:36RFK Junior Robert F Kennedy Jr speaking
  1088. 43:39one of the things that's interesting
  1089. 43:41about RFK we've reason has talked to him
  1090. 43:43and we've critiqued him in all of this
  1091. 43:45but he self-consciously says he is
  1092. 43:48following a lot of Trump's Playbook like
  1093. 43:51he you know he I I saw an interview with
  1094. 43:54him where he said you know he
  1095. 43:55misunderstood Trump's appeal he was very
  1096. 43:57anti-trump but like now he's starting to
  1097. 44:00understand
  1098. 44:01why people looked at Trump seriously and
  1099. 44:04he wants to kind of grab some of that
  1100. 44:06what you know what is going on like why
  1101. 44:09do people like Trump and now RFK Jr what
  1102. 44:12what are they giving to people that
  1103. 44:14they're not getting out of traditional
  1104. 44:16candidates
  1105. 44:18I don't think it's that big of a mystery
  1106. 44:20I mean the very first time that I saw
  1107. 44:22Trump in person
  1108. 44:24I remember having the thought 20 minutes
  1109. 44:26into his speech this is gonna work I
  1110. 44:29mean I didn't know if he was going to
  1111. 44:30win
  1112. 44:31um but what he was doing was scoring you
  1113. 44:35could feel it in the audience and why
  1114. 44:38was that well America since 2008
  1115. 44:41especially had become incredibly
  1116. 44:44dysfunctional we had had a a massive
  1117. 44:48Financial collapse where the elite and
  1118. 44:52Wealthy class had been completely bailed
  1119. 44:55out when a lot of them should have gone
  1120. 44:57to jail
  1121. 44:58and everybody else sort of paid the bill
  1122. 45:01including millions of people who got
  1123. 45:04thrown out of their homes you know in
  1124. 45:06some cases justifiably but in some cases
  1125. 45:09not and you add that to the you know the
  1126. 45:14ongoing wars in the Middle East there
  1127. 45:16were lots of vets in Trump's crowds you
  1128. 45:19know who had gripes about all kinds of
  1129. 45:20things
  1130. 45:22um yeah and Trump picked up on anger at
  1131. 45:27institutional America that I think had a
  1132. 45:29legitimate basis if you've read Martin
  1133. 45:31Garry's book The Revolt of the public he
  1134. 45:34predicted this before Trump came on the
  1135. 45:36scene he said people are going to be
  1136. 45:37pissed about all these different things
  1137. 45:39and all it takes is somebody who's tuned
  1138. 45:41into that and my only concern about
  1139. 45:46Trump was that he was going to promise a
  1140. 45:49lot but not really deliver he was going
  1141. 45:50to be a fake reformer so if somebody
  1142. 45:53were to come along and be a you know a
  1143. 45:56real reformer if they were actually
  1144. 45:58going to try to do something about some
  1145. 46:00of these things that would probably have
  1146. 46:01a lot of appeal to the public do you
  1147. 46:03think RFK is that person
  1148. 46:06I think he's more honest than Donald
  1149. 46:08Trump I think
  1150. 46:10um you know the people that he
  1151. 46:12surrounded himself with are
  1152. 46:15real politicians I think they actually
  1153. 46:18care about a lot of these issues Trump
  1154. 46:22for me was a master at the appearance
  1155. 46:25side of the game right he was just so
  1156. 46:27good at visual politics and
  1157. 46:30um virality and all these things that
  1158. 46:33people didn't understand very well back
  1159. 46:35then but he wasn't a policy one he
  1160. 46:38wasn't staying up in that reading
  1161. 46:39position papers
  1162. 46:41um you know with Kennedy it's still
  1163. 46:45unknown I would say you know what house
  1164. 46:47in Syria is what what he's really up to
  1165. 46:49I think we have to get to know him a
  1166. 46:51little bit better
  1167. 46:52um with you know he's also coming onto
  1168. 46:55the scene post covid
  1169. 46:57um you know and Trump occupied a weird
  1170. 46:59space during coven right because it was
  1171. 47:01kind of like uh you know I'm not going
  1172. 47:04to tell you what to do I have experts
  1173. 47:07um but you know he was criticized for
  1174. 47:09not implementing a single policy which
  1175. 47:12in the end may have been better but then
  1176. 47:14he also you know he did Operation warp
  1177. 47:16speed which actually worked to get
  1178. 47:18vaccines out quickly they didn't come
  1179. 47:20quick before the election which he's
  1180. 47:22obviously still pissed about but he's
  1181. 47:24also kind of an anti-vaxxer how if 2008
  1182. 47:29was a moment where like okay you know
  1183. 47:31American institutions people are like
  1184. 47:32[ __ ] it we're you know these These are
  1185. 47:34these are not working for us how much
  1186. 47:36worse is it post covet do you think I
  1187. 47:40think it's a lot worse post covet covid
  1188. 47:43has added to the dynamic that 2008 Iraq
  1189. 47:48yeah
  1190. 47:49um wmds all that stuff even the 2000
  1191. 47:52election where we couldn't really decide
  1192. 47:54yeah that too right you add that on top
  1193. 47:57of it but covet has a whole long list of
  1194. 48:01things that have added to Middle
  1195. 48:02America's grievances beginning with the
  1196. 48:05fact that it it increasingly looks like
  1197. 48:07they lied to us about the origins of the
  1198. 48:10disease
  1199. 48:12for some pretty weak reasons maybe
  1200. 48:15um you know they were trying to cover up
  1201. 48:16some research they were doing uh that's
  1202. 48:20thing one that's looking increasingly
  1203. 48:22likely at the very least they excluded
  1204. 48:25the possibility of that
  1205. 48:27um illegitimately and used I mean that
  1206. 48:30was where the government was telling
  1207. 48:31Twitter and Facebook at all like don't
  1208. 48:34run this stuff or they're squelch it
  1209. 48:36right exactly squelch that
  1210. 48:39um
  1211. 48:39then there was you know this whole idea
  1212. 48:42of tying anti-vaccine
  1213. 48:46um sentiment to anti-mandate sentiment
  1214. 48:49right right and they consciously blurred
  1215. 48:51the lines about that there were a lot of
  1216. 48:53people I did a story about Loudoun
  1217. 48:55County Virginia when you know the
  1218. 48:57Republicans won the gubernatorial
  1219. 48:58election there and there were people
  1220. 49:00there who were furious at the way they
  1221. 49:02had been portrayed in the media
  1222. 49:06um as racists or anti-vaxxers really
  1223. 49:09they wanted their kids to go back to
  1224. 49:11school because they had done their own
  1225. 49:14research online they found the kids
  1226. 49:15weren't really at risk and their kids
  1227. 49:18weren't learning anything and it was a
  1228. 49:20burden on them personally right so
  1229. 49:21there's a million things like this that
  1230. 49:23have added to ordinary people's
  1231. 49:26dissatisfaction and again with covet
  1232. 49:29there's the additional
  1233. 49:31complicating factor of kids being
  1234. 49:33involved like once you know peop people
  1235. 49:36feel strongly but once once there's
  1236. 49:37something about their kids and once it
  1237. 49:39be and it became clear pretty early on
  1238. 49:41that kids were not affected and yet they
  1239. 49:44were the ones who were whose lives were
  1240. 49:46most clearly upended by this right by
  1241. 49:49lockdowns one where are you on like
  1242. 49:52vaccines are you an anti-covet vaxxer
  1243. 49:54are you anti-mandate are you Pro mandate
  1244. 49:57pro-vaccine or I'm anti-mandit for sure
  1245. 50:00you know
  1246. 50:01um and you know my wife's a doctor I'm
  1247. 50:04pretty okay reliably convinced that
  1248. 50:06vaccines have been a good thing overall
  1249. 50:08in in the world
  1250. 50:11um I yeah you know I I I'm not a
  1251. 50:14scientist this is one of the reasons why
  1252. 50:16I stayed away from the story is because
  1253. 50:17this is not my ex area of expertise but
  1254. 50:20um I I do think lockdowns have been bad
  1255. 50:23uh I do think the the Press
  1256. 50:26lied about the threat to kids
  1257. 50:30and I don't understand why they had to
  1258. 50:33do that
  1259. 50:34um I'm not I'm not so sure about the
  1260. 50:36efficacy of vaccinating children at all
  1261. 50:39you know this recent Missouri V Biden
  1262. 50:43case involved some doctors who just said
  1263. 50:45some very logical things like if there's
  1264. 50:48any risk at all with this vaccine even
  1265. 50:52if it's infinitesimal it's probably more
  1266. 50:55than the risk of sending your kid to
  1267. 50:57school
  1268. 50:57because you know this thing doesn't
  1269. 51:00really hurt kids and they've tossed them
  1270. 51:03off Twitter for that or they tossed them
  1271. 51:04on Facebook for that that's crazy you
  1272. 51:07know and I think people see that as
  1273. 51:08crazy the uh you know the other big
  1274. 51:10story that parallel coveted in the
  1275. 51:12lockdowns obviously was George Floyd and
  1276. 51:14kind of racial Reckoning and whatnot you
  1277. 51:16had it was a 2019 when you were at the
  1278. 51:18Eric Garner book uh or earlier 18 I
  1279. 51:22think yeah yeah I mean which is a you
  1280. 51:25know before the lockdown and things like
  1281. 51:27that but how you know obviously you know
  1282. 51:30the George Floyd's story was huge and it
  1283. 51:33was you know again it probably wouldn't
  1284. 51:35have been as big if we weren't in
  1285. 51:37lockdown and whatnot but go back to Eric
  1286. 51:39Garner who was arrested for selling
  1287. 51:42loose cigarettes in Staten Island and
  1288. 51:44then died while the police were
  1289. 51:45arresting him
  1290. 51:47um where where do you think we are in
  1291. 51:49terms of kind of Criminal Justice Reform
  1292. 51:51as well as race relations
  1293. 51:54um is are we better than 2019 or you
  1294. 51:57know or Eric Garner time or is it worse
  1295. 52:00or is it just kind of like an open wound
  1296. 52:01that we never quite can close or heal I
  1297. 52:04don't know I mean I haven't spent a lot
  1298. 52:06of time in the last couple of years
  1299. 52:07looking at local policing I did for many
  1300. 52:09years spent a lot of time in the courts
  1301. 52:11and you know doing Street reporting the
  1302. 52:16George Floyd summer was very frustrating
  1303. 52:19for me personally because the big lesson
  1304. 52:22that I came away from was from the
  1305. 52:24George Floyd story was that broken
  1306. 52:26windows policing had massively increased
  1307. 52:30the number of contacts between the
  1308. 52:33ordinary Citizen and police which in
  1309. 52:37turn resulted in a lot of these
  1310. 52:39situations going wrong and people dying
  1311. 52:41and the one thing that's fixable in this
  1312. 52:44whole milia
  1313. 52:46um is we can change that we can change
  1314. 52:48statistics-based policing we don't have
  1315. 52:50to order people to stop you know 20
  1316. 52:53people a month or whatever it is and it
  1317. 52:56never came up I mean it was it was like
  1318. 52:59it was purposely excluded from the floor
  1319. 53:02it didn't seem to be serving anybody's
  1320. 53:04interests right right everybody
  1321. 53:07abstracted immediately to your your
  1322. 53:10racist you're not racist or something
  1323. 53:12right because it wasn't it it didn't
  1324. 53:14have a tie to
  1325. 53:17America's racist past uh you know the
  1326. 53:22inherent uh tendency towards white
  1327. 53:24supremacy now there are obviously
  1328. 53:26enormous racial overtones to police
  1329. 53:30brutality and I detailed a lot of them
  1330. 53:32in you know my book
  1331. 53:35but it's only part of the picture I mean
  1332. 53:38it's this is just the same thing as like
  1333. 53:41Trump coverage uh people picked one
  1334. 53:43thing and that became the in the entire
  1335. 53:46lens through which they looked at that
  1336. 53:48story and they ignored all these other
  1337. 53:50you know Shades of Gray and complexities
  1338. 53:53um and made I think they left audiences
  1339. 53:57less informed than they were before as a
  1340. 54:01result
  1341. 54:02um part I got uh to kind of wrap up one
  1342. 54:05of the things I find most interesting
  1343. 54:06about your your kind of post
  1344. 54:08mainstream media output and you've
  1345. 54:11started a podcast or you where you
  1346. 54:13talked with Walter Kern the novelist and
  1347. 54:16a lot of what you're doing is you're
  1348. 54:17talking about stuff like uh you know
  1349. 54:19Mark Twain's the man that corrupted
  1350. 54:21Hadley Berg or you know classic stories
  1351. 54:24American stories Etc what's the goal
  1352. 54:26there and what has the response been
  1353. 54:30part of it is just because Walter Kern
  1354. 54:33and I
  1355. 54:34um both like talking about books we
  1356. 54:36don't get to do it very much we've
  1357. 54:38decided to experiment what would happen
  1358. 54:40if we did that and
  1359. 54:43um what we found is people are so tired
  1360. 54:47of the Relentless sort of binary nature
  1361. 54:52of media these days
  1362. 54:54TMX versus Team y team blue versus red
  1363. 54:58and it's divisive it's anti-intellectual
  1364. 55:02you don't get to talk about anything
  1365. 55:05interesting in these shows it's always
  1366. 55:07an argument and it's a dumb argument
  1367. 55:09that just never ends and I mean this was
  1368. 55:12part of I mean this is the basis of hate
  1369. 55:15Inc your book about what's the subtitle
  1370. 55:18why today's media make us hate each
  1371. 55:20other yeah exactly exactly and I think
  1372. 55:24it's it's a kind of a bad product unless
  1373. 55:27you're
  1374. 55:29um unless you have some kind of amazing
  1375. 55:31breaking news that's about to come out
  1376. 55:33why would you watch it I mean it just
  1377. 55:35makes you depressed what we found is
  1378. 55:38when we talked about these stories we're
  1379. 55:39getting into all these
  1380. 55:41um issues and also we're also finding
  1381. 55:43that a lot of these old stories that
  1382. 55:46um you know maybe dust covered in
  1383. 55:48people's imaginations they're amazingly
  1384. 55:50relevant today you know the EM Foresters
  1385. 55:53of the machine stops
  1386. 55:55um has a lot of relevance to can you do
  1387. 55:57a quick summary what what's the plot of
  1388. 55:59that yeah the plot of that the Ian
  1389. 56:02Forster
  1390. 56:03um imagined a world where people no
  1391. 56:06longer had to do anything they lived
  1392. 56:07underground
  1393. 56:09um machines basically did everything for
  1394. 56:12them they were told that if they went
  1395. 56:14outside they would die immediately there
  1396. 56:16were legends about that so uh but one
  1397. 56:19day the machine starts to malfunction
  1398. 56:21because the people who were are taking
  1399. 56:25care of the machine they've started to
  1400. 56:27die off and so the thing has started to
  1401. 56:29malfunction and people slowly realized
  1402. 56:32that they've been had it's actually safe
  1403. 56:36to go outside and a lot of the Legends
  1404. 56:39they've been
  1405. 56:40um told to keep them afraid and keep
  1406. 56:42them indoors and keep them
  1407. 56:44from acting out on their own are fake
  1408. 56:47and that's very true of Internet culture
  1409. 56:49I think we you know we're a lot of us
  1410. 56:51are
  1411. 56:52captured by our neuroses now right we
  1412. 56:55don't have as much face-to-face contact
  1413. 56:57with people and
  1414. 56:59um it's it's very relevant today you
  1415. 57:02know and and it was so much fun talking
  1416. 57:04about that and we got a great response
  1417. 57:07from people who you know who are saying
  1418. 57:11um there's a whole world of thought out
  1419. 57:13there that they're telling us doesn't
  1420. 57:14exist anymore but it it is out there you
  1421. 57:17know and people are learning to enjoy it
  1422. 57:19again I think we're going to leave it
  1423. 57:21there math taibi thanks for talking to
  1424. 57:22reason great thanks so much
  1425. 57:25foreign
  1426. 57:26[Music]

About this transcript

This page contains the full transcript of Matt Taibbi: How the Left lost its mind by ReasonTV, generated from the public captions YouTube serves with the video. The transcript has 9,579 words across 1,426 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to choose a caption track available on the video.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, caption language selection, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.