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E103: Tech layoffs surge, big tech freezes hiring, optimizing for profits, election preview & more — Transcript

by All-In Podcast · 17,222 words · 2,509 segments · language en · Watch on YouTube

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  1. 0:00what the f what are you wearing Jason
  2. 0:02what oh Uber had a big week so this is
  3. 0:05the Uber Montclair crossover hat oh look
  4. 0:07at that all right and I also bought a
  5. 0:08Montclair shirt you bought that or I
  6. 0:10sent it to you oh what oh you got the
  7. 0:12watch in the mug oh you don't know about
  8. 0:14the Apple Montclair
  9. 0:15watch
  10. 0:18or the commemorative mug
  11. 0:21or the new tech you don't know about the
  12. 0:24new neckties that are coming from
  13. 0:25Montclair it's actually nettec oh my God
  14. 0:29oh so good I'd just say somebody got
  15. 0:32their be quiet I'm not saying that I got
  16. 0:35a hundred thousand dollar sponsorship
  17. 0:37but we don't have a rule in the
  18. 0:40agreement about logo placement do we
  19. 0:43listen Jay Cal if anyone was willing to
  20. 0:45sponsor you every square inch your
  21. 0:47clothing will be covered in ads like a
  22. 0:49race car driver it is look you'd be like
  23. 0:52wearing a jumpsuit every day you know
  24. 0:53Montclair sponsorships are great this is
  25. 0:55five five dollars plus 17 of shipping
  26. 0:58from France on its Etsy I'm ready to go
  27. 1:02[Music]
  28. 1:06Rain Man David
  29. 1:10said we open source it to the fans and
  30. 1:13they've just gone crazy
  31. 1:15[Music]
  32. 1:18how was everyone's week what'd you guys
  33. 1:20do this week ah just busy working
  34. 1:23um trying to be helpful where I can and
  35. 1:25that'll be the extent of my comments
  36. 1:27today how is Market Street this time of
  37. 1:29year look there's all sorts of wild
  38. 1:30report I've gotten all sorts of inbound
  39. 1:32from people asking me if I'm like
  40. 1:34leaving craft Ventures to do something
  41. 1:35at Twitter no it's not true we're just
  42. 1:37Jason and I are just pitching in and
  43. 1:39helping out while Elon establishes his
  44. 1:41permanent team at that company elon's
  45. 1:44the CEO he's running it he's the decider
  46. 1:46he's making the decisions and that some
  47. 1:48of us are just kind of helping out in
  48. 1:50any way we can and that's really the
  49. 1:51extent of it it's a
  50. 1:53you know very much part-time thing we're
  51. 1:55just helping a friend but it's been like
  52. 1:57blown up in by the media into something
  53. 1:59much more than it actually is it is a
  54. 2:02hundred percent accurate I am still
  55. 2:03doing my day job podcasting investing in
  56. 2:06100 companies a year just helping out on
  57. 2:08the margins uh that's it the end I do
  58. 2:10want to try talking about one issue
  59. 2:12that's already public because it's
  60. 2:13already been tweeted so Elon had a tweet
  61. 2:16this morning about how there's now like
  62. 2:17an Advertiser boycott going on
  63. 2:21and This falls on the heels of a bunch
  64. 2:23of reports that came out over the last
  65. 2:24couple of days that supposedly there's
  66. 2:26been a big influx of like racist tweets
  67. 2:30and Jason I actually saw what was really
  68. 2:33going on which was it's all not true I
  69. 2:35mean what happened is that within hours
  70. 2:37of Elon taking over the company on
  71. 2:38Friday there was a 4chan attack where
  72. 2:41basically people from this message board
  73. 2:42created Bots to post hundreds of
  74. 2:45thousands of spam messages that
  75. 2:47contained racist words and epithets and
  76. 2:50within hours this has been detected and
  77. 2:53Yol who runs the the trust and safety
  78. 2:55implementation he met with
  79. 2:58me and Jason and Elon directed him to
  80. 3:00shut it down and he UL actually posted a
  81. 3:03tweet story about it that's the only
  82. 3:04reason I feel comfortable talking about
  83. 3:05it is because you already
  84. 3:08posted a tweet storm but maybe people
  85. 3:09don't haven't seen it or they haven't
  86. 3:11connected all the Dots here but what's
  87. 3:13really I think unfair about this is that
  88. 3:17as you've as you've seen it's not like
  89. 3:19your feed was all of a sudden filled
  90. 3:20with racist things these were spam
  91. 3:22accounts or bot accounts that were
  92. 3:24posting to zero followers they generally
  93. 3:26have zero followers or if they do have
  94. 3:28followers it's other bot accounts right
  95. 3:30so they're posting racist tweets Into
  96. 3:32The Ether so to speak it's not degrading
  97. 3:34anyone's experience it was shut down
  98. 3:36promptly but then what happens is these
  99. 3:39activist groups they're monitoring the
  100. 3:41fire hose right and so they publish a
  101. 3:43report saying that racist tweets have
  102. 3:45gone up 500 since Elon took over Twitter
  103. 3:48the truth is Elon hasn't even had a
  104. 3:51chance to change anything about the
  105. 3:53content moderation policies he's posted
  106. 3:55that like guys I haven't even I haven't
  107. 3:57changed anything about content
  108. 3:58moderation whatever the rules are
  109. 4:00they're the same rules that existed
  110. 4:02prior to him taking over and this is
  111. 4:05just an organized operation by people
  112. 4:08who want to create that report so then
  113. 4:11these activist groups basically publish
  114. 4:13this report they feed it to news outlets
  115. 4:14and then somebody then takes those those
  116. 4:17reports and then feeds them to
  117. 4:18advertisers and you get a boycott but I
  118. 4:20think the point here is that Elon didn't
  119. 4:23do this this is being manufactured by
  120. 4:25people who are not operating in good
  121. 4:27faith they are trying to manufacture an
  122. 4:29incident that they can then use to hurt
  123. 4:31the company yeah and it was thwarted
  124. 4:33immediately and fixed have you guys seen
  125. 4:35episode 333 of the Lex Friedman podcast
  126. 4:38he um he interviews Andre carpathy who
  127. 4:42is really I mean one of the great minds
  128. 4:44of our of our time particularly around
  129. 4:46Ai and ML and the question that Lex
  130. 4:50asked which Andre
  131. 4:51expounded on which I think is really
  132. 4:53interesting is
  133. 4:55what is the next generation of bots look
  134. 4:57like and
  135. 5:00I think where the problem gets very hard
  136. 5:02for all platforms so this is not a
  137. 5:04Twitter Twitter specific discussion is
  138. 5:06that you can now generate such real life
  139. 5:10like human images that are unique and
  140. 5:13you can also generate high quality text
  141. 5:16to things like gpt3 that's also you know
  142. 5:19that can offense essentially push the
  143. 5:21boundaries of you know a low-level
  144. 5:24Turing test
  145. 5:25I think the real problem over time for
  146. 5:28Bots
  147. 5:29for spam for coordinated attacks on any
  148. 5:32platform is that when you use these
  149. 5:35tools you're going to have to become
  150. 5:36very sophisticated in how you try to
  151. 5:39detect them and then to block them it's
  152. 5:43a really interesting discussion between
  153. 5:45you know two pretty meaningfully smart
  154. 5:47people carpathy was the head of uh
  155. 5:49autopilot at Tesla right autopilot
  156. 5:52Vision yeah so he's really smart yeah I
  157. 5:54have no doubt that Elon is going to do a
  158. 5:57much better job stopping bots on Twitter
  159. 5:59once he has a chance to do it because
  160. 6:01he's got this amazing team
  161. 6:03of AI engineers and and he's just going
  162. 6:07to be more focused on it you know what I
  163. 6:08like the most about
  164. 6:10what I heard this week is the idea that
  165. 6:12you can do either micro payments or
  166. 6:14subscription to third-party content
  167. 6:16providers because I think so much of my
  168. 6:17news feed is delivered to me through the
  169. 6:20Twitter app and then I click on an
  170. 6:22article and then it's like a paywall or
  171. 6:25it's some sort of difficulty in kind of
  172. 6:27accessing the content having some
  173. 6:29integration there or some ability to
  174. 6:30kind of make a micro purchase to read an
  175. 6:32article it's going to be I think a super
  176. 6:35feature the other thing that I would
  177. 6:36love Twitter to experiment with is if
  178. 6:38you have a micropayments model to
  179. 6:40Publishers it would be great if you
  180. 6:42could publish content without a byline
  181. 6:44allow The Economist and see what that
  182. 6:46does to information quality right you
  183. 6:49know if you if you if you do not get any
  184. 6:51credit to your individual name for
  185. 6:54writing stuff but instead it goes to the
  186. 6:55Masthead publication whatever it is the
  187. 6:57times
  188. 6:58the post I think it could have a really
  189. 7:01important Behavior change in how
  190. 7:03journalists cover the news it's worth
  191. 7:05experimenting with at least and if
  192. 7:07you're paying them enough money I think
  193. 7:08that you could probably demand that
  194. 7:10Facebook could probably demand that
  195. 7:11today you know strip the byline away and
  196. 7:13just it just says New York Times just
  197. 7:15like today it just says The Economist
  198. 7:17yeah it is a um The Economist is a very
  199. 7:20polarizing gig in journalism for that
  200. 7:23reason uh there are going to be actually
  201. 7:25a lot of journalists who would prefer to
  202. 7:28have their byline taken off one of the
  203. 7:30problems with journalism today is even
  204. 7:32if you're doing reporting in good faith
  205. 7:34tramoth and you put your byline on there
  206. 7:36harassment you know threats Etc can
  207. 7:39become very acute if you're just
  208. 7:40covering certain topics and so I
  209. 7:42actually think a lot of you know writers
  210. 7:45and journalists would opt into this they
  211. 7:46might prefer it I think they should
  212. 7:48because I think the two ends of the
  213. 7:49spectrum are better than this you know
  214. 7:51Gross Middle that we have the end of the
  215. 7:53spec one end of the spectrum is you have
  216. 7:55the New York Times The Washington Post
  217. 7:57and the economists with no byline and no
  218. 7:59attribution to reporters the other end
  219. 8:01is if you want to build a brand that's
  220. 8:03based on your name go start a sub stack
  221. 8:06yeah and I think that there's a very
  222. 8:07good balance there and the New York
  223. 8:08Times could Syndicate that as well but
  224. 8:10if you separate the two all of a sudden
  225. 8:12the news becomes more likely to be
  226. 8:13truthful news versus
  227. 8:15you know well disguised opinion the the
  228. 8:19other issue is you know for readers if
  229. 8:22you do choose to do a no byline
  230. 8:23publication you're really going to need
  231. 8:25time to build trust and for people to
  232. 8:27understand what you're doing because
  233. 8:28they will think you're taking the byline
  234. 8:30off in order to pursue a certain agenda
  235. 8:32right so that is the the that is the
  236. 8:35suspicion that can build up The
  237. 8:36Economist has been able to do this over
  238. 8:37decades with trusted reporting yeah and
  239. 8:40sub stack proves that you can have no
  240. 8:42reputation whatsoever and if you're
  241. 8:43publishing great content you can build a
  242. 8:45great business from scratch so yeah
  243. 8:48you don't need to pay your dues quote
  244. 8:50unquote by getting a byline at the New
  245. 8:52York Times to be a clever writer
  246. 8:54you can start that business today and
  247. 8:56get paid so I think the New York Times
  248. 8:57should just focus on being the New York
  249. 8:58Times and sub Stacks should focus on
  250. 9:01individual people and I think if you
  251. 9:03could clean up the middle that would be
  252. 9:05much better for all of us anyways I'm
  253. 9:07excited for you guys to help out and
  254. 9:08pitch in I hope you guys do some good
  255. 9:10with it I'd love to come back and use
  256. 9:11Twitter more often can we talk about the
  257. 9:14reporting that happened
  258. 9:16with the two guys that trolled the
  259. 9:18journalists and pretended to be fired
  260. 9:20employees because I actually thought
  261. 9:21that was such an interesting moment this
  262. 9:24week that all the journalists
  263. 9:25immediately parroted it because it fed
  264. 9:27their narrative Johnson checking done
  265. 9:30there was no reporting done and then
  266. 9:32several of them including I think
  267. 9:33Deirdre Bosa from CNBC came out and
  268. 9:35publicly apologized for that report and
  269. 9:38if folks uh listening aren't familiar
  270. 9:41with what happened these two guys came
  271. 9:43out they pretended to be fired Twitter
  272. 9:44employees on Monday walked out with a
  273. 9:46box
  274. 9:48up and they were like hey we just got
  275. 9:50fired it's terrible life is awful no
  276. 9:51it's even worse husband and wife you
  277. 9:53know the guy's name was one guy's name
  278. 9:55is Rahul ligma and the other guy's name
  279. 9:58was like Mike Johnson so the whole thing
  280. 10:00was ligma Johnson so I now here's what's
  281. 10:03so funny about due diligence hold on I
  282. 10:06read this story without giving away that
  283. 10:09punch line to my kids
  284. 10:11all of my kids immediately started
  285. 10:13howling they're like Dad if you say
  286. 10:15these two names are ligma Johnson and I
  287. 10:18was like oh my God and so you know when
  288. 10:20when like you know pre-teens can figure
  289. 10:22this out but the journalism industry
  290. 10:25could not that is kind of a very telling
  291. 10:27sign Friedberg made the key observation
  292. 10:28which is they didn't figure it out
  293. 10:30because they didn't want to because it
  294. 10:31fit their narrative so they don't they
  295. 10:32don't fact check things that fit their
  296. 10:34narrative this was my point about
  297. 10:36journalism I it just it was so poignant
  298. 10:38to me this week when this happened
  299. 10:40particularly as it relates to Twitter
  300. 10:43and the importance of call it open
  301. 10:45journalism or citizen journalism and the
  302. 10:47Integrity of kind of you know of the
  303. 10:50voices that we all kind of trust as our
  304. 10:52our kind of journalistic authorities
  305. 10:53that these guys came out and they were
  306. 10:55pawned right outside Twitter's offices
  307. 10:57into telling a story that fit their
  308. 10:59Sensational narrative and it was really
  309. 11:01a kind of poignant moment for me well do
  310. 11:03you remember that story I think it was
  311. 11:04originally a rolling stone and then
  312. 11:06Rachel maddowell Amplified it where it
  313. 11:08was in Oklahoma City where supposedly
  314. 11:10all these Mega Republicans were eating
  315. 11:11horse Pace because Trump told them to
  316. 11:13and they were and this is basically I
  317. 11:15thought it was like a coveted therapy
  318. 11:16and then they were going to the
  319. 11:18emergency rooms of all the hospitals and
  320. 11:19then they were turning away heart attack
  321. 11:21victims because there are so many of
  322. 11:22these these people going to the
  323. 11:23emergency room anyway it all turned out
  324. 11:25to be like a made-up story like a hoax
  325. 11:28but the media reported it because the
  326. 11:30story was too good right it just it fit
  327. 11:32too many of their preconceptions there's
  328. 11:34also one there's another Vector sex
  329. 11:36which is live coverage is
  330. 11:39um you know you really have to to be
  331. 11:41careful because when doing live people
  332. 11:42will call in and say oh they're at the
  333. 11:44scene of an accident and then they will
  334. 11:46do a baba buoy or whatever you know kind
  335. 11:48of Charades and so without fact checking
  336. 11:51and without saying hey we haven't
  337. 11:53confirmed this yet but these two
  338. 11:55employees are claiming this people want
  339. 11:57to get real-time coverage it's fine to
  340. 11:59do real-time coverage I think everybody
  341. 12:01in the audience has to understand so
  342. 12:03much credit what about the editor there
  343. 12:05was a picture and it said ligma Johnson
  344. 12:12why are you covering for these people
  345. 12:14I'm not covering I'm just trying to
  346. 12:16explain it no you're gonna even let me
  347. 12:18unpack the whole point let me unpack the
  348. 12:19whole point there's also you interrupted
  349. 12:21me well here's the thing there is a
  350. 12:23different standard for live news
  351. 12:24coverage and then there we've ripped out
  352. 12:26fact checking from a lot of these
  353. 12:27Publications and basic fact checking and
  354. 12:29a little bit of time I'm explaining why
  355. 12:31they make this mistake I'm not
  356. 12:32protecting them you want to know the
  357. 12:34reason they make it that's part of it
  358. 12:36but they've also ripped out fact
  359. 12:37checking and then they are in such a
  360. 12:39race to get the clicks on social media
  361. 12:41no no here's what's going on if the
  362. 12:43story fits their priors they run with it
  363. 12:46immediately and they don't do any fact
  364. 12:47checking because they don't want to know
  365. 12:49that it's not true that's what's going
  366. 12:51on there is an element let's check a
  367. 12:52story if it's a narrative they don't
  368. 12:54like because they're gonna they're gonna
  369. 12:56try and make sure it's not true yeah
  370. 12:57that's true of both sides and they'll
  371. 12:58use proxies this thing there's only one
  372. 13:00mainstream media this is the mainstream
  373. 13:03media who's the alternative
  374. 13:06Fox is uh the the number one network the
  375. 13:09alternative to the number one network is
  376. 13:11do you think journalists do this tell me
  377. 13:15the writer tell me the writer on sub
  378. 13:16stack wow there's a lot of different
  379. 13:18ones there so I who got fooled what sub
  380. 13:20stock writer got fooled by ligma Johnson
  381. 13:28fooled by ligma Johnson I don't think so
  382. 13:31I'm not defending don't make me just
  383. 13:33defend ligma I'm not defending we are
  384. 13:37both sidesing it I'm not both sizing it
  385. 13:38I'm telling you what is happening in
  386. 13:40journalism today they have ripped out
  387. 13:42fact checking and they are in a race to
  388. 13:44beat each other because the first person
  389. 13:45to get the story up gets a clicks that's
  390. 13:47the dysfunctional thing they try to
  391. 13:49create a story when there was no story
  392. 13:50there they agree with that as well they
  393. 13:53went and camped out outside of an office
  394. 13:54mid-market Street yes and they said hey
  395. 13:56there's this Sensational thing happening
  396. 13:58and there was no Sensational thing
  397. 14:00happening correct and so the little drop
  398. 14:02that fell into their laps the little
  399. 14:04thing that fell into their laps became
  400. 14:06the story because that's the story they
  401. 14:08wanted to see created there was no story
  402. 14:09beforehand that then that there were all
  403. 14:12these people being fired walking out
  404. 14:13with boxes and then they said let's go
  405. 14:14send live TV producers down there they
  406. 14:16sent the live TV producers down there
  407. 14:17and then the same things
  408. 14:20they did the same thing in New York at
  409. 14:23Bears to read the cover when they had
  410. 14:25other major layoffs at Bear Stearns and
  411. 14:27stuff like that during the financial
  412. 14:28crisis of course they sent people to do
  413. 14:29live coverage there not defending it I'm
  414. 14:31just explaining to you what's going on
  415. 14:32in the background as well with live TV
  416. 14:34and and the gutting of newsrooms and
  417. 14:36having no fact checking a lot of these
  418. 14:37stories go out but what about 20 years
  419. 14:39ago my 11 year olds and 10 year olds
  420. 14:43better copy editors than these adults at
  421. 14:46these that's crazy incredible
  422. 14:48Publications my kids started howling
  423. 14:50they were like Dad do you understand
  424. 14:52what you just said there's a league
  425. 14:54budget yeah I mean awesome I mean come
  426. 14:56on this is like prepubescent humor that
  427. 14:58these people fell for it it's ridiculous
  428. 15:01it's embarrassing it's certainly
  429. 15:02embarrassing yeah it is embarrassing and
  430. 15:05this connects with the 4chan board it's
  431. 15:06the same problem this is a grievance
  432. 15:09industrial complex right they're
  433. 15:11manufacturing grievances it's funny in
  434. 15:14the case of ligma Johnson it's not funny
  435. 15:16in the case of the 4chan board but these
  436. 15:18are people who are inventing stories
  437. 15:19because
  438. 15:21yeah to manipulate media because they
  439. 15:23know it's so easy to manipulate the
  440. 15:25media right anyways big shout out to
  441. 15:26Rahul ligma that was a great stunt well
  442. 15:29played sir it happens to be a huge fan
  443. 15:31of the all-in podcast apparently sir
  444. 15:33come on as the bestie guesty anytime he
  445. 15:35wants oh no well no definitely not
  446. 15:37please all right we should talk about
  447. 15:39layoffs and Tack lift 13 riff 700
  448. 15:43employees let go yesterday
  449. 15:45stripe 14 riff a thousand employees open
  450. 15:48door chime Dapper Labs all hundreds of
  451. 15:51employees Open Door the most significant
  452. 15:53they're 550 18 percent
  453. 15:56Dapper 22 percent uh and Twitter we'll
  454. 15:59see what the Riff winds up being but
  455. 16:01that's occurring as we're taping here so
  456. 16:02and then Jason Apple did a pause Amazon
  457. 16:05did a pause
  458. 16:07right and Google and Facebook
  459. 16:10yeah maybe trying maybe signaling a
  460. 16:14pause but haven't they've been hiring
  461. 16:15like in absolutely uh at a crazy crazy
  462. 16:19pace and we'll pull up the chart here
  463. 16:20actually it's instructive to look at
  464. 16:22Facebook and Google because they have
  465. 16:24not slowed down by any stretch of the
  466. 16:26imagination
  467. 16:28just by the raw numbers uh this all
  468. 16:30started to Peak in June and now it's
  469. 16:33starting up again so there's a website
  470. 16:35uh layoffs.fyi that's been tracking all
  471. 16:38these layoffs you can see the number of
  472. 16:40layoffs these are kind of major layoffs
  473. 16:42and the number of employees impacted
  474. 16:44been pretty consistent in the third
  475. 16:48quarter it started to die down in
  476. 16:49September
  477. 16:51from the Peak in May and June and now
  478. 16:55right yeah it feels like this is the
  479. 16:57double dip we were talking about I think
  480. 16:59this is the beginning this is not even
  481. 17:01unpack it well I think that we had if
  482. 17:03you take a very balanced view of what
  483. 17:04happened this week
  484. 17:06you have to start I think with the
  485. 17:08Federal Reserve and really what they
  486. 17:10said is rates will probably be higher
  487. 17:13than all of you think
  488. 17:14and they'll be higher for longer than
  489. 17:16all of you want
  490. 17:18and again without debating whether you
  491. 17:22know that's going to come to pass or not
  492. 17:24the thing that you can do is you can
  493. 17:26build a little sensitivity model to
  494. 17:29understand the mathematical implication
  495. 17:31of it and basically what it means is
  496. 17:33that the dollar that's right in front of
  497. 17:35you
  498. 17:36is now meaningfully more important than
  499. 17:38the dollar that's far far away from you
  500. 17:40so let's just assume
  501. 17:43that you know the FED funds rate goes to
  502. 17:45five and a half percent or so
  503. 17:47even five let's let's go to the
  504. 17:49optimists and say it's only going to go
  505. 17:51to five
  506. 17:52tech companies have to achieve 500 basis
  507. 17:54points above that minimum
  508. 17:56so we all have to generate 10 to 11
  509. 17:58percent returns for us to be on a
  510. 18:00risk-adjusted basis better than a
  511. 18:03Government Bond
  512. 18:05the problem with that is all of a sudden
  513. 18:06you know if you're trying to generate
  514. 18:08cash even three or four years from now
  515. 18:11it's not worth that much you need to
  516. 18:13generate dollars today and so you know
  517. 18:16they are really re-prioritizing the
  518. 18:19value of short-term profits and that's
  519. 18:21going to affect how companies get money
  520. 18:24the cost of capital so how much dilution
  521. 18:26you have to take so I think this is what
  522. 18:29companies are now bearing down for
  523. 18:31they're realizing oh man I need to get
  524. 18:34my cost structure way in line it is way
  525. 18:37better now just to put think about this
  526. 18:39contrast it's way better to grow at 20
  527. 18:41and be profitable
  528. 18:43than it is to grow at 100 and burn money
  529. 18:45because it's not clear where that second
  530. 18:47company is going to get the incremental
  531. 18:49dollars they need for growth and that's
  532. 18:51just a mathematical realization when
  533. 18:53rates are five percent risk-free rates
  534. 18:55are five percent so I think this is this
  535. 18:56is that moment where you see that pivot
  536. 18:58from pivot growth to profit yeah yep
  537. 19:01we've been talking about it for six
  538. 19:03months but this is this is this is how
  539. 19:06it is Manifest in Silicon Valley
  540. 19:08companies is of scale is through layoffs
  541. 19:11and cost reductions and cost savings
  542. 19:14so the investments in future growth are
  543. 19:17reduced and the timeline to drive
  544. 19:20greater profits
  545. 19:22is improved I think what if what Elon is
  546. 19:25going to do at Twitter
  547. 19:27or what is reported so this is nothing
  548. 19:29to do with anything anyone told me just
  549. 19:31what I've read in the reporting
  550. 19:33it's accurate that he's going to cut so
  551. 19:34deep he's going to cut 30 40 50
  552. 19:36potentially of the employee base
  553. 19:39it really sets a new standard for how
  554. 19:42profitable a tech company can get and
  555. 19:44again I'll give credit to a Twitter
  556. 19:46poster named post Market who I didn't
  557. 19:48give credit to a few weeks ago when I
  558. 19:50read this tweet
  559. 19:52which I think was a good one which was
  560. 19:54that elon's really going to show
  561. 19:55everyone just how profitable these tech
  562. 19:58companies can be just how lean they can
  563. 19:59be run
  564. 20:01and you know when you're doing a 10 riff
  565. 20:03or a 13 riff you may or may not even be
  566. 20:06getting to profitability with that riff
  567. 20:08when you cut 30 40 50 deep and you can
  568. 20:12actually turn a real profit on a
  569. 20:14business an Enterprise scale business
  570. 20:15like a Twitter or like many other
  571. 20:17enterprise software companies that are
  572. 20:19out there right now
  573. 20:20it really kind of sets a new standard
  574. 20:22that a lot of folks might then end up
  575. 20:23saying you know what maybe we should go
  576. 20:25deeper and there could be the case that
  577. 20:28private Equity firms take a look at this
  578. 20:29and there's a lot of these distressed
  579. 20:31mid cap and small cap software companies
  580. 20:33out there that private Equity firms now
  581. 20:35realize wow you don't actually need 50
  582. 20:38of the workforce in order to keep the
  583. 20:41product running and to drive to
  584. 20:42profitability and you could see a bit of
  585. 20:44a flurry of buyout activity
  586. 20:46as more folks come in and maybe try and
  587. 20:49mimic the Elon Playbook so you know
  588. 20:52that's one kind of prediction I think
  589. 20:54may arise if Elon is successful in
  590. 20:56making Twitter a much more profitable
  591. 20:58Enterprise it could set a new model that
  592. 21:01catalyzes a lot of other M A activity a
  593. 21:03lot of other buyout activity of these
  594. 21:05distressed small and mid-cap companies
  595. 21:06uh by uh by other actors can I build on
  596. 21:09what you're saying Nick could you please
  597. 21:10just
  598. 21:12throw up that tweet that I sent just for
  599. 21:14all of these guys to look at because I
  600. 21:15think it's incredible so to your point
  601. 21:16this is an incredible uh slide just an
  602. 21:19incredible slide and essentially what it
  603. 21:21shows for those folks that are not
  604. 21:22watching this on YouTube is it
  605. 21:25essentially shows the private software
  606. 21:27universe and then the public software
  607. 21:30Universe at different levels of
  608. 21:32valuation so as an example right now
  609. 21:35there are 15 companies private companies
  610. 21:38that are valued greater than 10 billion
  611. 21:40dollars
  612. 21:41and there are 40 public ones that are
  613. 21:43valued greater than 10 billion there are
  614. 21:4550 companies between you know
  615. 21:48more than 5 billion but only 60 that are
  616. 21:52public that are valued more than five
  617. 21:53and here's what's crazy there are 400
  618. 21:56companies
  619. 21:58who have an average valuation of 3
  620. 22:00billion
  621. 22:01and then there are already 70 companies
  622. 22:04in the public markets where they have a
  623. 22:06billion dollars of next 12 months of
  624. 22:09Revenue and it just goes to show you to
  625. 22:12your point freeberg
  626. 22:13if these folks have to generate an 11
  627. 22:16hurdle rate their cost of capital is 11
  628. 22:19percent
  629. 22:21the companies on the left will have to
  630. 22:23go through a lot of very difficult cost
  631. 22:26cutting potentially head count
  632. 22:27reductions
  633. 22:29you know repricing of the product
  634. 22:32all kinds of things
  635. 22:33yeah no not none of them have oh of
  636. 22:37these many of these are the left tracker
  637. 22:39you're on the Left Right 400 there
  638. 22:41there's almost 500 companies here that
  639. 22:43have to do an enormous amount of work so
  640. 22:45that they have a chance to be on the
  641. 22:46right hand side of this chart the point
  642. 22:49is that you didn't have to do this when
  643. 22:51rates were zero there was just an
  644. 22:53abundance of free money and risk seeking
  645. 22:55and duration
  646. 22:56that is now out of the market I think
  647. 22:59there's also a story that of the 200
  648. 23:01companies that are software public
  649. 23:03software companies that you see on the
  650. 23:04right
  651. 23:05some number of them will need to go
  652. 23:07private in order to do the restructuring
  653. 23:09that the market is demanding that they
  654. 23:10do in order to get rightly valued and to
  655. 23:13your point it will happen at
  656. 23:14meaningfully lower valuations than where
  657. 23:16they probably went public or their last
  658. 23:18drive around which will you guys as you
  659. 23:21guys enormous instructions yeah if you
  660. 23:23guys look at these 200 companies on the
  661. 23:24right how many of them do you think go
  662. 23:26private over the next 18 months to get
  663. 23:28restructured Allah what Elon is showing
  664. 23:31everyone is possible on Twitter 18 is 18
  665. 23:34months is hard to predict but to your
  666. 23:35point Freeburg I think if you look at
  667. 23:37the number of them that are unprofitable
  668. 23:40at least half of them will have
  669. 23:42difficulty and about so I think about
  670. 23:44two-thirds of these companies really
  671. 23:46have no line of sight to profitability
  672. 23:48in the next two to three years and again
  673. 23:50if you if you layer in this cost of
  674. 23:52capital argument
  675. 23:54all of those companies David will have
  676. 23:56to raise money at very egregious terms
  677. 24:01in order to keep themselves going as a
  678. 24:03public business in which case their
  679. 24:05alternative is to go private in a PE
  680. 24:07transaction so it's probably at least
  681. 24:10half these businesses I mean it's a lot
  682. 24:12there's 100 PE deals to be done yeah 100
  683. 24:15wow Stacks what do you think
  684. 24:17because you know these businesses and
  685. 24:19the models I mean some of them it's hard
  686. 24:20to get profitable if you're a scaling
  687. 24:22SAS business right like you have to get
  688. 24:24to a certain scale before it's possible
  689. 24:26well I don't I don't that's like a very
  690. 24:28specific question of like how many of
  691. 24:30them are gonna get acquired by pe firms
  692. 24:32versus going public or going private
  693. 24:35after being public that's that's like a
  694. 24:37very specific question I think the
  695. 24:38larger point is just that it feels to me
  696. 24:41like the economy is headed off a cliff
  697. 24:42right now I mean I can tell you within
  698. 24:44our larger portfolio of companies
  699. 24:48like I can see the trajectory so after
  700. 24:50q1 board meetings I would say about
  701. 24:53two-thirds of portfolio companies were
  702. 24:55hitting their numbers and one-third were
  703. 24:57missing and it still appeared to be like
  704. 24:59problems related to those specific
  705. 25:01companies not a macro Trend I would say
  706. 25:04after Q2 board meetings two-thirds were
  707. 25:06missing and one-third were hitting their
  708. 25:08numbers and it you could start to feel
  709. 25:09okay maybe there's like a macro Trend
  710. 25:11here and I would say after
  711. 25:13Q3 board meetings like now
  712. 25:15the entire portfolio is is reforcasting
  713. 25:18uh maybe there's like a handful of
  714. 25:20companies here or there that aren't if
  715. 25:22you're one of those congratulations but
  716. 25:24like even the best companies our
  717. 25:26portfolio now are seeing major headwinds
  718. 25:28and this is just I think an economy-wide
  719. 25:30slowdown do you think there's
  720. 25:31restructuring possible I mean can these
  721. 25:33companies yeah because let me just ask
  722. 25:36in the public markets do you think those
  723. 25:37public companies can get restructured as
  724. 25:40public companies in order to yeah it
  725. 25:42just yes it will yes of course it is
  726. 25:44extremely expensive well it's expensive
  727. 25:46I don't even think it's will I think
  728. 25:48it's just expensive
  729. 25:49yeah I mean coinbase as an example like
  730. 25:51look take coinbase versus carvana right
  731. 25:54these are both businesses that issued
  732. 25:58convertible debt sort of right before
  733. 26:00things got very very hard and if you
  734. 26:02look at where their convertible debt
  735. 26:04trades it's trading basically at an
  736. 26:06implied yield of about 12 or 13 both
  737. 26:08companies now one is probably you know a
  738. 26:12legitimate bankruptcy risk which is
  739. 26:14carvana that's what the market would
  740. 26:15think whereas the other one you know I
  741. 26:17think it has a very fortified balance
  742. 26:19sheet and could weather the storm
  743. 26:20coinbase but unfortunately in a moment
  744. 26:23where you know rates are again the
  745. 26:26risk-free rate goes to five five and a
  746. 26:28half our cost of capital to do business
  747. 26:30goes to 10 or 11. these guys have to pay
  748. 26:3312 or 13 my gosh it's really really
  749. 26:36deluded to be in business right now so
  750. 26:39it just goes to show you that you can
  751. 26:41stay public but if you want to get
  752. 26:44incremental money to cover your burn the
  753. 26:46only way you can do it without really
  754. 26:48you know blowing up your cap table and
  755. 26:50doing a massive recap
  756. 26:52will be through convertible debt but it
  757. 26:55has a huge overhang and you risk turning
  758. 26:58the keys over to the debt holders of the
  759. 27:00company
  760. 27:01so the alternative for that business is
  761. 27:03to go into the hands of private equity
  762. 27:06and get out of the spotlight of these
  763. 27:08public markets but public private Equity
  764. 27:11is very smart and the thing that's
  765. 27:14happened to them is they can't raise
  766. 27:16debt
  767. 27:17right so what do you think they do they
  768. 27:18just have to pay 50 less than what they
  769. 27:20would be willing to pay before because
  770. 27:21they have to write you know 100 Equity
  771. 27:24check so right there is no free lunch
  772. 27:27anymore I think is the big is the big
  773. 27:29point to to point out anywhere in the
  774. 27:31market right now I think one of the
  775. 27:33things I'm most concerned about or would
  776. 27:35be is I was talking with a friend who
  777. 27:37works at a private you know unicorn
  778. 27:40software company any we talked about the
  779. 27:43numbers of the business and I was like
  780. 27:44oh that company's probably worth X and I
  781. 27:46gave him a number and then I asked him
  782. 27:48how much money they've raised and
  783. 27:49they've raised more than x so I was like
  784. 27:52dude your options are worthless like you
  785. 27:54know this is a real problem I think
  786. 27:56that's probably going to become very
  787. 27:57systemic
  788. 27:58for scaled unicorn software companies
  789. 28:01what happens to these businesses sacks
  790. 28:02in the market
  791. 28:04you know as they kind of need another
  792. 28:06round but the value of the company is
  793. 28:08now less than the total cash that
  794. 28:09they've raised that all is sitting as
  795. 28:10preferred stock
  796. 28:12listen it's it's survival of the
  797. 28:14quickest those who are most willing to
  798. 28:17adapt the most quickly are going to
  799. 28:19survive and the ones that are stubborn
  800. 28:20and refuse to accept the new regime the
  801. 28:23market regime are gonna die we showed
  802. 28:25that chart remember that chart from
  803. 28:26Sequoia months ago on this podcast
  804. 28:29remember that where it basically showed
  805. 28:31what happens if you're a company that
  806. 28:34doesn't cut burn until the very end then
  807. 28:36you're still going to run out of money
  808. 28:37and die but if you make the cut right
  809. 28:39away quickly you you have enough Runway
  810. 28:42to weather the storm and I think that
  811. 28:44what we've seen is you know at my firm
  812. 28:47craft yeah this is exactly it yeah we
  813. 28:49showed This months ago we've been
  814. 28:50begging our Founders to embrace this we
  815. 28:52did a portfolio a review with our entire
  816. 28:56set of founders of our portfolio
  817. 28:58companies we did one in February when we
  818. 29:00felt the markets were changing and we
  819. 29:02did another one in May and we showed the
  820. 29:04slide and this is the most important
  821. 29:06thing for Founders to internalize is you
  822. 29:08have to make the changes quickly you
  823. 29:10know one way for them to think about it
  824. 29:12is let's say say you're a unicorn
  825. 29:13company okay and you raised at the peak
  826. 29:16let's say second half of 2021 you raise
  827. 29:18100 million dollars at a billion dollar
  828. 29:20valuation and let's say you've got 50
  829. 29:22million left in the bank right so you've
  830. 29:23burned 50 million a lot of these
  831. 29:25Founders are thinking that 50 million
  832. 29:27they've got left is only 5 dilution but
  833. 29:29that's what it was historically if you
  834. 29:31were to raise a new round today you
  835. 29:33might only be valued at 250. so that 50
  836. 29:36million you have left is actually 20
  837. 29:38dilution and that's if you could even
  838. 29:40raise which might be very very hard the
  839. 29:43most important thing Founders can do is
  840. 29:44forget about the historical terms on
  841. 29:47which you raise that money forget about
  842. 29:49how much money you were burning in the
  843. 29:51past just think about how much money you
  844. 29:53have in the bank today impute evaluation
  845. 29:56to it so you really internalize how much
  846. 29:58dilution that money represents and then
  847. 30:01create a new plan moving forward to
  848. 30:03preserve that cash as long as possible
  849. 30:04can I say something else quickly on top
  850. 30:06of this that's I think that's really
  851. 30:07good advice
  852. 30:10the thing that again people should do is
  853. 30:12you should just build a little
  854. 30:14spreadsheet for yourself to understand
  855. 30:16what the alternative financing options
  856. 30:19are for people who are in the business
  857. 30:21of investing so David to your point the
  858. 30:23current three-month t-bill rate is four
  859. 30:26percent
  860. 30:26you know you can buy munis now between
  861. 30:28four and five percent that are that are
  862. 30:31Triple Tax advantaged right you can buy
  863. 30:33uh high quality corporate bonds that are
  864. 30:36six seven eight percent
  865. 30:38and so it's stocks that have a dividend
  866. 30:40yield of five percent of growth growing
  867. 30:43Market leading growing and so all of
  868. 30:45them dividend yield exactly and so all
  869. 30:48of a sudden like turning around and
  870. 30:49giving it to a company where there is no
  871. 30:51end in sight in terms of it doesn't get
  872. 30:53you to profitability
  873. 30:55is a really really hard thing to do I
  874. 30:57was talking to an entrepreneur David
  875. 30:59soloff just yesterday
  876. 31:01and he said it really well he's like
  877. 31:04listen you know I'm not a macro
  878. 31:06Economist I'm not trying to forecast but
  879. 31:07he's like what I
  880. 31:09understood yesterday this is David
  881. 31:11talking about the FED as an entrepreneur
  882. 31:13the angle of attack has changed the FED
  883. 31:16has said this is not going to be some
  884. 31:19triangle Sawtooth it's not going to go
  885. 31:21up sharply and then come back down
  886. 31:23sharply which is what we would all want
  887. 31:26if we wanted things to get back to
  888. 31:28normal sooner
  889. 31:30the angle of attack is now a little bit
  890. 31:32slower which means it's going to take
  891. 31:34longer to get where we need to be
  892. 31:36and then we're going to stay there for a
  893. 31:37lot longer than we want and when you
  894. 31:39roll those two things together a lot of
  895. 31:42companies may run out of money
  896. 31:44and so if you can't get to default alive
  897. 31:46you have to look at your cost structure
  898. 31:48and figure out how to right size this
  899. 31:50thing because
  900. 31:51the cost of capital is just going to be
  901. 31:54really really expensive and this was the
  902. 31:56fed's goal right they wanted to take
  903. 31:57away this free Capital they want to slow
  904. 31:59the economy down and it seems like
  905. 32:01they're making progress they did the 75
  906. 32:03basis point
  907. 32:04hike this week but
  908. 32:06we're adding jobs to the economy we have
  909. 32:08more job openings and we had 2.6 percent
  910. 32:11GDP growth so I guess my question to the
  911. 32:13to everybody here is
  912. 32:15what is the Fed gonna have to do or can
  913. 32:18they stop this consumer and this growth
  914. 32:22it's very strange right Powell Powell
  915. 32:24said he'd rather over correct
  916. 32:27and break things because he has a
  917. 32:29toolbox to fix the broken bones but he
  918. 32:32doesn't have a toolbox to fix if they
  919. 32:34under correct and they have rampant
  920. 32:36inflation
  921. 32:38I mean not more explicit you can't get
  922. 32:40Jason so he's going to take rates until
  923. 32:42demand is destroyed and enough demand is
  924. 32:45destroyed such that inflation is tamed
  925. 32:48but that has huge implications to all of
  926. 32:50us because we all have to do our job
  927. 32:52trying to build a company trying to
  928. 32:54raise money trying to invest money
  929. 32:56it's just getting much much much harder
  930. 32:59than I even thought so like you know for
  931. 33:01me I'm like wow I thought that we could
  932. 33:04get through the worst of this by mid-23
  933. 33:06but now you have to plan for the worst
  934. 33:08which means okay now I'm thinking that
  935. 33:10man rates could be higher for much
  936. 33:13longer which means you know we could be
  937. 33:14in this market until early 25 and you
  938. 33:17may say hey that's way too conservative
  939. 33:20yeah but you have to plan for
  940. 33:22conservatism in this point so how do I
  941. 33:24invest money right now honestly I'm like
  942. 33:27hmm I should just put more into T bills
  943. 33:29isn't that crazy if a company's like
  944. 33:31hmoth can have another 10 15 20 million
  945. 33:33bucks I'm like wow I mean I don't think
  946. 33:35that that gets you anywhere and oh by
  947. 33:37the way that 10 or 20 million dollars I
  948. 33:39can generate four percent
  949. 33:40what a what a tough trade-off right for
  950. 33:43well for somebody who has access to
  951. 33:44private markets which should be high
  952. 33:46growth companies to take the guaranteed
  953. 33:48four over the 50x 25x10x whatever we're
  954. 33:52trying to bet on here yeah that's not
  955. 33:54it's not just the guaranteed four but if
  956. 33:56you want to take Tech risk then you
  957. 33:58could go buy the corporate bonds of some
  958. 34:00high quality companies for the 10 or 11
  959. 34:01so you take moderate risk so you're also
  960. 34:03competing with that not to zero risk can
  961. 34:05you explain that for the listeners what
  962. 34:06that corporate debt is and why it you
  963. 34:08know pays more sure there are there are
  964. 34:10you know high quality public companies
  965. 34:12tech companies that have bonds and
  966. 34:14that's corporate debt and they obviously
  967. 34:16have to pay a higher rate than what the
  968. 34:18treasury pays because the treasury is is
  969. 34:21risk-free and corporations could default
  970. 34:23so there is some risk to it it's not
  971. 34:25zero risk but you know it's like if
  972. 34:27you're willing to take Tech risk then
  973. 34:29why wouldn't you buy a bond at 10
  974. 34:30meaning the equity always has to beat
  975. 34:32that threshold return but but hey can we
  976. 34:36just go back to the jobs report for a
  977. 34:37second I mean the U.S government could
  978. 34:39default but it's considered the least
  979. 34:41likely to default of all issuers of debt
  980. 34:44in the world and that's right
  981. 34:47yeah that's why people call it the
  982. 34:49risk-free rate because it is the least
  983. 34:51risky the U.S can always repay its debt
  984. 34:53because the debt is denominated in
  985. 34:55dollars and the treasury can always at
  986. 34:57the end of the day print more money that
  987. 34:58would just be monetizing the debt other
  988. 35:00countries that owe money in dollars and
  989. 35:03obviously don't control the U.S mint
  990. 35:05they can't do that so they could
  991. 35:06actually default but since we're the
  992. 35:08world's Reserve currency we're never
  993. 35:10going to default however the dollars
  994. 35:12that you get paid back by the US
  995. 35:14government might be worth a lot less in
  996. 35:16the future because of inflation and
  997. 35:17that's the real risk you have to think
  998. 35:19about but there's no default risk right
  999. 35:21whereas with corporate debt there is but
  1000. 35:23let's just go back to this the Jaws
  1001. 35:25picture for a second Jason you asked
  1002. 35:27about this so there is news this morning
  1003. 35:30that we added 261 000 jobs in October
  1004. 35:32and obviously given that there's an
  1005. 35:33election in a few days then you know the
  1006. 35:36administration is eager to point to this
  1007. 35:38but if you dig a little deeper in the
  1008. 35:40report I just posted the link there you
  1009. 35:42see in the Raw numbers that there's
  1010. 35:43actually 328 000 fewer employed
  1011. 35:47Americans and the number of unemployed
  1012. 35:50Americans actually increased 36 000. so
  1013. 35:53and the labor force participation rate
  1014. 35:55declined for the Third
  1015. 35:56consecutive month to 62.2 percent so
  1016. 36:00like I don't really understand like how
  1017. 36:02all these numbers add up but the point
  1018. 36:03is like the data is very mixed our new
  1019. 36:06and and this very definitely negativity
  1020. 36:08in there
  1021. 36:09and this feels to me like the last gasp
  1022. 36:12of the bull market where there's like
  1023. 36:14this residual job creation but you look
  1024. 36:18at like just what's happened in the last
  1025. 36:19week where it's stripe cutting I mean
  1026. 36:21Stripes probably the single highest
  1027. 36:24quality I think it's probably the most
  1028. 36:25valuable private company
  1029. 36:29okay but but like software pure software
  1030. 36:31company they had a 14 cut you're
  1031. 36:33starting to see now the riffs really
  1032. 36:35start to pile up so I think we're at the
  1033. 36:38beginning now of a long cycle of the
  1034. 36:41unemployment rate going up I mean it
  1035. 36:42just feels like the economy is slowing
  1036. 36:45so fast the markets are you know they've
  1037. 36:48been puking now for six months it just
  1038. 36:51feels like this is the beginning of a
  1039. 36:53like really serious recession yet we had
  1040. 36:54GDP growth yet we had job uh openings we
  1041. 36:59had two quarters we had two quarters of
  1042. 37:00net negative GDP growth this is when we
  1043. 37:03had the debate about what our recession
  1044. 37:04is it was true that if you looked at
  1045. 37:07growth in nominal terms that appear to
  1046. 37:09be strong and then it was net negative
  1047. 37:11once you subtracted the inflation rate
  1048. 37:12you know we said several months ago my
  1049. 37:15prediction was a double-dipper session
  1050. 37:16where you had this shallow technical
  1051. 37:18recession then it bounced back in Q3 but
  1052. 37:21now I think we're headed into the second
  1053. 37:23part of it which is the real recession a
  1054. 37:24recession characterized by joblessness
  1055. 37:26and you're starting to see economists
  1056. 37:28say we're going to go from three point
  1057. 37:29something percent unemployment rate to
  1058. 37:31say five or six percent unemployment
  1059. 37:33next year so I think we're just
  1060. 37:36beginning to see the the job Cuts start
  1061. 37:38to add up
  1062. 37:39this is I think this is what Powell met
  1063. 37:42which is you know he'll take it as far
  1064. 37:44as it takes and then he can fix it on
  1065. 37:46the back end by reintroducing
  1066. 37:48you know quantitative easing and
  1067. 37:50reintroducing lower interest rates to
  1068. 37:52stimulate demand
  1069. 37:55but there's what are the odds he gets
  1070. 37:57this right it seems to me that the FED
  1071. 37:59has a habit of reacting too slowly they
  1072. 38:01were too slow to react to inflation my
  1073. 38:05guess is that they'll be too slow to
  1074. 38:06react to the recession so we'll end up
  1075. 38:09with a period of rates being higher than
  1076. 38:11they should too long and then they will
  1077. 38:13correct they'll drop rates but that
  1078. 38:15could be two years from now and
  1079. 38:16meanwhile we could be in a pretty deep
  1080. 38:17recession two charts for you to look at
  1081. 38:20the GDP uh by quarter and then after
  1082. 38:23that the labor participation rate so
  1083. 38:26there's your GDP q1 Q2 being negative Q3
  1084. 38:29bouncing back we'll see what happens in
  1085. 38:30Q4 here's your fed Force participation
  1086. 38:33rate for labor as we discussed the thing
  1087. 38:36with the labor participation rate that
  1088. 38:37we're still not sort of like truly
  1089. 38:39factoring in is like you know we had a
  1090. 38:40million Americans die because of covid
  1091. 38:42and you know starting in that Trump
  1092. 38:45presidency we lost like seven or eight
  1093. 38:47million immigrants
  1094. 38:48so those eight million people have a
  1095. 38:50huge effect on this number yeah right
  1096. 38:52and it's not properly really factored in
  1097. 38:54because if if you see that at the start
  1098. 38:56of the Trump presidency it's just it's
  1099. 38:58it just fell off a cliff basically
  1100. 39:00and you also have people who retired
  1101. 39:02early that was a big Trend and this all
  1102. 39:04peaked in 2000 labor participation
  1103. 39:06hitting that like 67 68 I think it's the
  1104. 39:09peak
  1105. 39:11and just slowly going down as Boomers
  1106. 39:13retire early because they made so much
  1107. 39:15on their 401ks and homes
  1108. 39:17and then you're right your mouth we've
  1109. 39:19had negative we've really cut
  1110. 39:21immigration in the last whatever five
  1111. 39:22six years I think there's an element in
  1112. 39:24here that's missing on how much people
  1113. 39:27individually are finding other ways to
  1114. 39:29earn income that doesn't qualify and
  1115. 39:31show up in the labor force numbers
  1116. 39:33people
  1117. 39:35have set up Etsy stores Shopify stores
  1118. 39:38have tripled since covid
  1119. 39:40people are making more money on YouTube
  1120. 39:42on Instagram on Tick Tock than ever
  1121. 39:45before there's a whole new class of work
  1122. 39:47that revolves around the individual
  1123. 39:50creating their own business creating
  1124. 39:53their own income stream
  1125. 39:54that's simply taken off
  1126. 39:56and have taken off it was it was kind of
  1127. 39:58a trend pre-covered but it really took
  1128. 40:00off during covid and there's an element
  1129. 40:02of this that's really more about the
  1130. 40:04transition of how people work and how
  1131. 40:05they earn
  1132. 40:06that isn't reflected in these numbers I
  1133. 40:08don't think that the idea that everyone
  1134. 40:09should go be an employee at a company is
  1135. 40:12necessarily the right way to think about
  1136. 40:13Labor going forward the amount of money
  1137. 40:16that individuals are earning is probably
  1138. 40:18the better way to frame this up going
  1139. 40:20forward and as really thinking about the
  1140. 40:22earning power and the economic health of
  1141. 40:24this country
  1142. 40:25this is something important you're
  1143. 40:26bringing up here gig workers are about
  1144. 40:28nine percent of the uh Workforce and uh
  1145. 40:31Uber and Dara had um
  1146. 40:33they they grew over 70 this year but I
  1147. 40:36think the big number that I watched for
  1148. 40:37was drivers are making 36 dollars an
  1149. 40:40hour in the United States working for
  1150. 40:42Uber so you're exactly right people are
  1151. 40:43finding other options whether it's
  1152. 40:45doordash or Uber and that doesn't
  1153. 40:46qualify in labor force right because
  1154. 40:48they're no contract independent
  1155. 40:51contractors are counted yeah they are
  1156. 40:52counted I that's based on my preliminary
  1157. 40:55research if somebody wants to fact check
  1158. 40:56us that'd be great but my understanding
  1159. 40:58is independent contractors which is what
  1160. 41:00gig workers are classified under are
  1161. 41:02counted in labor participation I don't
  1162. 41:04know how they're counted so uh we'll
  1163. 41:06we'll look that up and figure that out
  1164. 41:09there was a story in BBC that the bank
  1165. 41:12of England has now warned that the UK is
  1166. 41:14facing its longest recession since uh
  1167. 41:17Records began some of this is getting to
  1168. 41:19be fear porn yeah but look here's what I
  1169. 41:23think is scary about going into a
  1170. 41:24recession is number one you don't really
  1171. 41:26know how long it's going to take to get
  1172. 41:27out we know the average recession lasts
  1173. 41:29about 18 months but the truth is once it
  1174. 41:31starts you just don't know and the
  1175. 41:32second thing is you don't really know
  1176. 41:34who's been stress tested people claim
  1177. 41:36that they can weather the storm but the
  1178. 41:38truth is that there's no there's no way
  1179. 41:41to simulate truly simulate a stress test
  1180. 41:43they claim they can but the only way is
  1181. 41:46to really subject you know an
  1182. 41:48institution to that pressure and that
  1183. 41:49stress and then you see if they come out
  1184. 41:51the other side so that's the issue is
  1185. 41:53you're just going into this it's there's
  1186. 41:55there's all there's a lot of unknown
  1187. 41:57unknowns and
  1188. 41:58and this is why I would just urge
  1189. 42:00Founders to be cautious is because if
  1190. 42:03the recession ends up being shallower
  1191. 42:04and shorter than people expect great
  1192. 42:07you'll be surprised to the upside but if
  1193. 42:09the recession ends up being deeper and
  1194. 42:11and longer than expected you don't want
  1195. 42:13to go out of business you want to be
  1196. 42:14protected against that so again you know
  1197. 42:17we've been saying this since February
  1198. 42:18and may but again I just reiterate I
  1199. 42:20think it really makes sense for Founders
  1200. 42:22to be conservative prioritize your
  1201. 42:26survival above all else you know this
  1202. 42:29recession probably will last about two
  1203. 42:30years you want to make sure you survive
  1204. 42:32it and to shama's point if you survive
  1205. 42:34it with lower growth that's fine you can
  1206. 42:36keep growing on the other end of this
  1207. 42:37thing but if you go out of business
  1208. 42:39because you grew too fast then you're
  1209. 42:41not going to get the chance to fix that
  1210. 42:42problem when the recession is over I
  1211. 42:45just don't see anybody rewarding hyper
  1212. 42:48growth that is burning a ton of cash
  1213. 42:50where you have to be back in Market
  1214. 42:52every year
  1215. 42:53because it's it's just very hard to feel
  1216. 42:56comfortable that the conditions on the
  1217. 42:59field aren't going to be drastically
  1218. 43:01different a year from now right it's not
  1219. 43:02like we know that it's going to be
  1220. 43:04better or worse and I think that that
  1221. 43:07uncertainty is actually really bad for
  1222. 43:09companies so to your point it's just
  1223. 43:11like
  1224. 43:12a lot of folks have tried to shy away
  1225. 43:14David from actually revisiting their
  1226. 43:16valuations they've done these
  1227. 43:18complicated converts and they've tried
  1228. 43:20to basically you know
  1229. 43:23it's I think it's sort of like managing
  1230. 43:25their ego or the board's ego and I think
  1231. 43:28like the next shooter drop has to be
  1232. 43:30these Founders and these boards just
  1233. 43:33saying okay let's just take the hard
  1234. 43:34medicine what's the real you know market
  1235. 43:36clearing price and valuation let's get a
  1236. 43:38third party to price it and let's get
  1237. 43:40new fresh equity and then move forward
  1238. 43:41because if you don't do that and you
  1239. 43:44wait until everybody's trying to do it
  1240. 43:46then it's going to be a really tough
  1241. 43:47scenario so better to your point you
  1242. 43:50know this is why I like stripe it's so
  1243. 43:52smart better to cut now
  1244. 43:54again it's always hard to let people go
  1245. 43:56but it's better to do that now than 18
  1246. 43:59months from now because you just have no
  1247. 44:02idea how much more expensive or hard
  1248. 44:04it's going to be then
  1249. 44:06and who's going to even be in the
  1250. 44:07business of lending money or investing
  1251. 44:09money in 18 months
  1252. 44:10and you know that that sounds pretty
  1253. 44:12crazy but it's it's like I think that
  1254. 44:13that's that's the moment that we're in
  1255. 44:15to your point uh Friedberg I did a
  1256. 44:17little research here and um
  1257. 44:19according to the FED of St Louis if you
  1258. 44:22accounted
  1259. 44:24uh casual workers informal workers
  1260. 44:28over doing over 20 hours a week of
  1261. 44:31informal work AKA gig work you would
  1262. 44:33increase labor participation between a
  1263. 44:35half point and a point if you counted
  1264. 44:37all of them maybe even uh slightly more
  1265. 44:40than two percentage points higher so
  1266. 44:41probably about a point uh seems like a
  1267. 44:43realistic way to look at Labor
  1268. 44:45participation and of the eight points or
  1269. 44:48maybe now the six or seven points the
  1270. 44:50ten percent
  1271. 44:51it would then account for 10 to 20 of
  1272. 44:53the 10 drop in labor participation it's
  1273. 44:57just alarming statistics because if most
  1274. 44:59people have most of their
  1275. 45:02personal net worth tied up in their home
  1276. 45:04asset and their home values are
  1277. 45:06declining are going to decline
  1278. 45:09and we're seeing this dramatic spike in
  1279. 45:11Consumer Credit in the U.S it paints a
  1280. 45:14really ugly picture for the next two
  1281. 45:15years wow guys I'm just looking at I'm
  1282. 45:17just looking at the markets today git
  1283. 45:19Labs down 15 snowflakes down 13
  1284. 45:23Mondays down 14 percent uh at least down
  1285. 45:2730 percent in one day a Yelp is down 17
  1286. 45:30percent
  1287. 45:31is down 16 percent
  1288. 45:34so it's just a horrible oh my gosh the
  1289. 45:36cloud computing index wcld has hit a new
  1290. 45:40low for the year it's down to 23 bucks I
  1291. 45:43think the previous low was 25 is down
  1292. 45:45almost eight percent today and this is
  1293. 45:47on a day in which the NASDAQ is down
  1294. 45:48less than one percent so the point is
  1295. 45:51they're rotating out of growth stocks
  1296. 45:53yeah it's just brutal and so listen if
  1297. 45:56you're a startup founder you got to
  1298. 45:57realize these are like some of the
  1299. 45:58highest quality public so Leo's down 40
  1300. 46:01today twilio is down 37 in a day today
  1301. 46:05whoa but guys this is this is just math
  1302. 46:09you know it's not a judgment on any of
  1303. 46:12these companies it's just pure math this
  1304. 46:14is why I think you have to be utterly
  1305. 46:15unemotional in this moment and if you're
  1306. 46:18if you're a CEO running a company
  1307. 46:20particularly a SAS business
  1308. 46:23you have to really figure out how to
  1309. 46:26how to right size your cost basis and
  1310. 46:28make this money last profitable
  1311. 46:30industrial companies are Bill Gurley had
  1312. 46:32a tweet a tweet about this a few months
  1313. 46:34ago about how the biggest mistake people
  1314. 46:36make in riffs is they just do like a
  1315. 46:38tepid riff like a 10 ish riff and they
  1316. 46:41have to come back and they do it again
  1317. 46:42and they do it again this is what I
  1318. 46:44think the the Elon action this week
  1319. 46:46really sets a standard he shows the
  1320. 46:48entirety of Silicon Valley that you can
  1321. 46:50cut deep and you can turn a profit and
  1322. 46:52you can do it fast and it could set a
  1323. 46:54new standard for how folks are managing
  1324. 46:56this Jack Welch used to in his
  1325. 46:58management principles recommend dropping
  1326. 47:00the bottom 10 of people every year and
  1327. 47:02so you know the 10 13 Cuts don't really
  1328. 47:05pass muster as a public market investor
  1329. 47:07kind of looks at the the management
  1330. 47:09across these different companies to turn
  1331. 47:11a profit they're going to say the folks
  1332. 47:13that are making the deepest cuts the
  1333. 47:14fastest are the ones that are going to
  1334. 47:15get valued it's unfortunate and it's a
  1335. 47:17difficult circumstance for everyone in
  1336. 47:19Silicon Valley to deal with from the
  1337. 47:21employees to the investors to the public
  1338. 47:23and private shareholders it's really
  1339. 47:25brutal one quick question for you guys
  1340. 47:26really it's really just this kind of
  1341. 47:28Market motivation that's underway right
  1342. 47:29now here's the chart uh and my question
  1343. 47:31for you is when do Google and Facebook
  1344. 47:34stop this I mean if you look at the
  1345. 47:36number of employees being added it is
  1346. 47:39truly extraordinary here's the chart and
  1347. 47:40this includes the latest quarter so they
  1348. 47:43are
  1349. 47:45not turning off hiring yet what do you
  1350. 47:49think hold on didn't they announce a
  1351. 47:51hiring freeze
  1352. 47:52they announced that they were at Google
  1353. 47:54they announced that they were going to
  1354. 47:56hold people accountable to better
  1355. 47:57performance and they were going to go do
  1356. 47:59more with less and then they added more
  1357. 48:00people Facebook said that they would do
  1358. 48:03a hiring three percent today yeah
  1359. 48:04Facebook said it would do a hiring
  1360. 48:06freeze
  1361. 48:07well whatever jobs last quarter yeah
  1362. 48:11well you're right they just announced
  1363. 48:12the hiring freeze you look at Apple
  1364. 48:14Apple just announced in non-r D
  1365. 48:16functions a hiring freeze this is Apple
  1366. 48:18like the most valuable most profitable
  1367. 48:21company in the world so if Apple
  1368. 48:23basically is putting the brakes on
  1369. 48:25non-engineering hiring that tells you
  1370. 48:27something about how fast the economy is
  1371. 48:29slowing down I think that was a huge
  1372. 48:31signal yeah the point Freebird makes is
  1373. 48:33so correct which is if you're doing a
  1374. 48:36riff obviously there's a reason why but
  1375. 48:38I think we we're seeing too many riffs
  1376. 48:40where the details of the Riff and the
  1377. 48:43magnitude of the Riff don't match up
  1378. 48:44with what the objective of the Riff is
  1379. 48:46the objective of the Riff for a lot of
  1380. 48:48these companies should be to get them
  1381. 48:51cash flow positive or at least to put
  1382. 48:54them on a Runway or a trajectory where
  1383. 48:57they can get cash flow positive with
  1384. 48:58their existing cash on the balance sheet
  1385. 49:00right they won't need to raise money
  1386. 49:01again and we're seeing a lot of
  1387. 49:04companies where they don't achieve that
  1388. 49:05and they have to come back again and
  1389. 49:07again and hit it again and that creates
  1390. 49:10more turmoil for the company and it's
  1391. 49:12more unfair for the employees by the way
  1392. 49:15sex to that point I'll just say
  1393. 49:17how deep these come these companies are
  1394. 49:18cutting and how you management is
  1395. 49:20expressing shareholders how they're
  1396. 49:22going to turn a profit becomes a signal
  1397. 49:25for those shareholders on whether or not
  1398. 49:26they want to stay in that stock and the
  1399. 49:28companies that are doing it fast and are
  1400. 49:30doing it deep the investors and the
  1401. 49:32shareholders say you do actually have a
  1402. 49:33path that makes sense here I'm going to
  1403. 49:35stay in the stock cash today versus cash
  1404. 49:36in the future sure off let me ask you a
  1405. 49:38question in terms of strategy for one of
  1406. 49:40these companies let's say the Facebook
  1407. 49:42Corporation or
  1408. 49:44perhaps even Google
  1409. 49:46or apple even if they were to cut their
  1410. 49:49expenses which might take obviously a
  1411. 49:51riff and then because their stock prices
  1412. 49:54are so depressed right now maybe even a
  1413. 49:55mid cap one like a twilio or an Uber or
  1414. 49:58an Airbnb if they were cut costs and
  1415. 50:01then start buying back their shares
  1416. 50:02which some companies have been doing
  1417. 50:04what would that do in terms of the
  1418. 50:06Market's appreciation of those stocks or
  1419. 50:07management teams I think it's hard to
  1420. 50:09tell I think that
  1421. 50:11the if you have not lost investor trust
  1422. 50:15I think it would be really well rewarded
  1423. 50:18if you have become unreliable
  1424. 50:22and undisciplined
  1425. 50:25even those cuts I think would be met
  1426. 50:27with some amount of excitement but
  1427. 50:31but probably not a broad base support so
  1428. 50:33you know it then it just goes to
  1429. 50:35narrative meaning if Google did it I
  1430. 50:38think that people really trust Sundar
  1431. 50:40and Ruth
  1432. 50:42and I think the stock would go Bonkers
  1433. 50:44they would they would probably move very
  1434. 50:46quickly into the echelon of apple and
  1435. 50:49apple is sort of
  1436. 50:51a first among equals like they're just
  1437. 50:53they're just in a different class unto
  1438. 50:55themselves
  1439. 50:56Facebook I think is a little bit harder
  1440. 50:58because I think folks have gotten burned
  1441. 51:00and you know they would have to make
  1442. 51:02some really really deep Cuts but then
  1443. 51:04you know where do you do it you can't
  1444. 51:06capitulate on this meta strategy
  1445. 51:08but then the other part is where you
  1446. 51:09make all the money
  1447. 51:11and so you have this huge morale issue
  1448. 51:13that you have to manage so it's just a
  1449. 51:15really hard game to play just one more
  1450. 51:17thought on on
  1451. 51:19um on the rift stuff I think one thought
  1452. 51:22experiment for Founders is to think
  1453. 51:24about what was your plan at the end of
  1454. 51:262019 why do I say that because 2020 and
  1455. 51:292021 were two of the most distorted
  1456. 51:32years ever in the history of financial
  1457. 51:33markets and the economy because we had
  1458. 51:36covet and then we had the reaction to
  1459. 51:38covid right and so you saw there was
  1460. 51:40this um you know zooms market cap hit
  1461. 51:42100 billion all the e-commerce companies
  1462. 51:44were doing extremely well you you know
  1463. 51:46you had all this money printing you know
  1464. 51:48you had zero interest rates and so on
  1465. 51:50you had SAS companies hitting all-time
  1466. 51:52Highs at the end of 2021 so we lived
  1467. 51:55through this incredibly distorted time
  1468. 51:57so as a thought experiment go look at
  1469. 51:59what your plan for 2020 was supposed to
  1470. 52:02be when you created it at the end of
  1471. 52:042019 because that was the last time that
  1472. 52:06you were thinking without any
  1473. 52:08distortions you know that were then
  1474. 52:10created and I think if you were to go
  1475. 52:12back and look at your 2020 plan again
  1476. 52:15created it at the end of 2019 you'd
  1477. 52:18probably see that you could get by with
  1478. 52:20half the head count you have now because
  1479. 52:22probably you doubled your head count
  1480. 52:23during the last two years during these
  1481. 52:25heady heady times and yet I think
  1482. 52:27Founders start thinking oh I can't go
  1483. 52:29back to operating you know I can't
  1484. 52:31operate at half the level of head count
  1485. 52:32but you were you were operating with
  1486. 52:34half the level of head count by death
  1487. 52:36definition at some earlier point I also
  1488. 52:39think sometimes I think what Founders
  1489. 52:40say is what will people think if I cut
  1490. 52:4350 meaning all of a sudden the perceived
  1491. 52:46success of my business would be
  1492. 52:47different and I think that this is where
  1493. 52:49you have to realized no like there's a
  1494. 52:51lot of ego tied up in these things which
  1495. 52:54slows people down from doing the thing
  1496. 52:55that they need to do
  1497. 52:57yes it's a really it's a really it's
  1498. 52:59hard to do I mean look at Airbnb as an
  1499. 53:02example I mean they did this ginormous
  1500. 53:04riff
  1501. 53:05during covid because they had no choice
  1502. 53:07I mean they're they're Revenue went
  1503. 53:09essentially to zero and now the business
  1504. 53:11is incredibly strong it's throwing off
  1505. 53:13massive amounts of free cash flow and
  1506. 53:15the stock market seems to really love
  1507. 53:16what Airbnb has done uh and a similar
  1508. 53:19story over at Uber in terms of having
  1509. 53:21done significant riffs and probably
  1510. 53:22could
  1511. 53:25is still down almost 75 off its high
  1512. 53:29right so when you say the stock market
  1513. 53:30love it so they're they're up today
  1514. 53:32three percent so meaning they're not
  1515. 53:34down 30 in one day but they have gone
  1516. 53:37down with the rest of the market they
  1517. 53:38have gone down with the rest of the
  1518. 53:39market
  1519. 53:40but it feels like the business I'm
  1520. 53:42talking about the business fundamentals
  1521. 53:43when you're throwing off almost a
  1522. 53:44billion dollars yeah now you're going to
  1523. 53:47start people are going to perceive that
  1524. 53:48business maybe as uh of this cohort the
  1525. 53:51flight to safety right or same thing
  1526. 53:53with Uber throwing or free cash flow now
  1527. 53:54I think a lot of these names are gonna I
  1528. 53:56don't know Airbnb right now but they do
  1529. 53:58on Uber I think the people throwing off
  1530. 53:59the free cash flow are going to look
  1531. 54:00pretty attractive
  1532. 54:02and be able to buy their stock back
  1533. 54:03maybe all right let's talk about the
  1534. 54:06midterms
  1535. 54:08a lot of big uh Senate races and
  1536. 54:11obviously Governors uh Pennsylvania
  1537. 54:13Georgia Arizona Wisconsin Ohio all
  1538. 54:16really important races sex what do you
  1539. 54:19think
  1540. 54:20well it looks to me like there's going
  1541. 54:22to be a republican wave there was an
  1542. 54:24interesting article actually on CNN
  1543. 54:25where they it's called five scary
  1544. 54:27numbers for Democrats and what they
  1545. 54:30point to is that Biden right now has a
  1546. 54:3542 percent approval rating 61 percent of
  1547. 54:38the American people say he hasn't
  1548. 54:39focused on the key problems so this is
  1549. 54:41called the out of touch index 51 say the
  1550. 54:44economy is number one issue compared to
  1551. 54:45only 15 for abortion and then 78 say
  1552. 54:48we're on the wrong track I don't think
  1553. 54:49I've seen a right track wrong track
  1554. 54:51index that was so negative and 75
  1555. 54:54percent of the country says we're in a
  1556. 54:56recession so you know when you look at
  1557. 54:58polling numbers like that it must
  1558. 55:00translate I think into a republican wave
  1559. 55:04and you have now Real Clear Politics
  1560. 55:05currently has the GOP gaining four
  1561. 55:08Senate seats so winning in the Arizona
  1562. 55:10Nevada Georgia and New Hampshire that's
  1563. 55:12a big change from just a couple weeks
  1564. 55:14ago and winning 31 House Seats so
  1565. 55:17this is this is kind of what it's
  1566. 55:19looking like right now but look the the
  1567. 55:21margin is still within the
  1568. 55:23within the margin of error on the
  1569. 55:25polling so Nate silver has pointed out
  1570. 55:27that within one standard deviation you
  1571. 55:30could either have a republican wave or
  1572. 55:32you could have basically the Republicans
  1573. 55:35fizzle out so it's going to be very
  1574. 55:37close but ultimately I think this breaks
  1575. 55:39Republican yeah the to me the way that
  1576. 55:43I've I'm looking at it right now is that
  1577. 55:45it seems like most scenarios the
  1578. 55:48Republicans will have the majority in
  1579. 55:50the house
  1580. 55:51and the real question is what happens in
  1581. 55:53the Senate it's really really kind of a
  1582. 55:55coin flip
  1583. 55:57and that's going to be really
  1584. 55:58interesting to see so you know things
  1585. 56:00where I thought would break Republican
  1586. 56:02in the Senate like Pennsylvania are now
  1587. 56:05back to almost a you know a statistical
  1588. 56:07Dead Heat
  1589. 56:08so it's a really interesting moment
  1590. 56:10actually it's uh but most scenarios
  1591. 56:13David I think you'd agree is that the
  1592. 56:15Republicans win the house and then
  1593. 56:17there's a non there's a plurality of
  1594. 56:19scenarios where they also win the Senate
  1595. 56:21the house will almost certainly go
  1596. 56:22Republican but I think the Senate now
  1597. 56:24the the official percentages are 55
  1598. 56:26percent likely to tip Republican but I I
  1599. 56:29just think that in a wave year like this
  1600. 56:31where the wrong track sentiment is so
  1601. 56:34high I think all these races that are a
  1602. 56:36dead heat they're more likely to break
  1603. 56:38in One Direction as opposed to like a
  1604. 56:40random distribution which is why I think
  1605. 56:42you could just as easily end up with and
  1606. 56:45you know instead of it being a 5149
  1607. 56:48Senate it could be 55 45 because all
  1608. 56:52these things could break the same way so
  1609. 56:53right now so I I would slightly disagree
  1610. 56:55in Pennsylvania I think Oz has improved
  1611. 56:58as a candidate fetterman did that debate
  1612. 57:00and since he suffered that stroke he
  1613. 57:02kind of came across as somebody how do
  1614. 57:04we feel about that I I I had very very
  1615. 57:07hard to watch that happen and yeah I
  1616. 57:10mean the guy the guy has suffered a
  1617. 57:11stroke and is sad but he you know he
  1618. 57:13doesn't present as someone who can be a
  1619. 57:15senator right now I think what does the
  1620. 57:17science say about that like a re as a
  1621. 57:20society is this a good idea to have
  1622. 57:22somebody post-stroke be in office I'm
  1623. 57:23not picking any political side here I'm
  1624. 57:24just talking about the the medical issue
  1625. 57:26Alice is actually doing the right thing
  1626. 57:28right now which is he's not actually
  1627. 57:29focusing on that issue because it's so
  1628. 57:31obvious he doesn't want to be seen as
  1629. 57:33beating up on fetterman and instead he's
  1630. 57:35a human he's focusing on the issues and
  1631. 57:38actually fetterman's issues are very
  1632. 57:40unpopular in a state like Pennsylvania
  1633. 57:42so I actually think for both reasons Oz
  1634. 57:45is going to win that I think fetterman's
  1635. 57:46manifestly unqualified but also I think
  1636. 57:49his positions are fairly unpopular so I
  1637. 57:52think Pennsylvania will will almost
  1638. 57:53certainly tip so let me pull up the
  1639. 57:55chart here just so people can see Ohio
  1640. 57:56is going Republican and then Arizona I
  1641. 57:59think is really the interesting one
  1642. 58:00where Blake Masters is now tied after
  1643. 58:03being behind Mark Kelly throughout this
  1644. 58:05campaign he is now tied in New
  1645. 58:09is popular your guy is really unpopular
  1646. 58:12and now he's tied
  1647. 58:16interpretation it's the Peter too he was
  1648. 58:18he was doing really poorly I think
  1649. 58:20because
  1650. 58:21I think listen I think that I think that
  1651. 58:23Arizona is probably gonna be the closest
  1652. 58:25race in the country I think it's gonna
  1653. 58:26be a nail biter but I think Blake's
  1654. 58:28gonna pull that out
  1655. 58:29sex what do you think are the biggest
  1656. 58:31policy shifts that take place in this
  1657. 58:34country Host this predicted Red Wave is
  1658. 58:38there anything that changes so just you
  1659. 58:40know talk to folks about what's on the
  1660. 58:42docket from a legislative point of view
  1661. 58:44going into the next congress with all
  1662. 58:48these new candidates the reality is we
  1663. 58:49have a separation of powers in this
  1664. 58:51country and you're gonna have to divide
  1665. 58:53a government the Republicans will will
  1666. 58:54control Congress the Democrats will
  1667. 58:56control the presidency and so as a
  1668. 58:58result you're going to be largely in a
  1669. 59:00gridlock situation but gridlock may be a
  1670. 59:03lot better than what we've had over the
  1671. 59:04last couple of years so you know you've
  1672. 59:06had basically this orgy of spending and
  1673. 59:09money Printing and I think that's going
  1674. 59:10to stop obviously
  1675. 59:12the other thing that's going to happen
  1676. 59:13is Republicans may not be able to pass
  1677. 59:15much legislation but they're going to do
  1678. 59:16investigations and there's a lot of
  1679. 59:18questions that need to be answered I
  1680. 59:19think about still about covid you know
  1681. 59:22these lockdown policies that we had that
  1682. 59:24started at the top at NIH why did they
  1683. 59:26happen we need to start having
  1684. 59:27accountability for some of these
  1685. 59:29horrible decisions that were made during
  1686. 59:30covid and there's been no willingness in
  1687. 59:33Washington to hold anyone accountable at
  1688. 59:34a minimum they need to have some
  1689. 59:36Congressional investigations and find
  1690. 59:38out why we pursued such bad policies
  1691. 59:40over the last couple of years by the way
  1692. 59:42did you see did you see what happened
  1693. 59:43this week where the CDC
  1694. 59:46you know after this entire opioid
  1695. 59:48epidemic and all of these lawsuits the
  1696. 59:50CDC came out and actually said Hey
  1697. 59:52listen we need to really make sure that
  1698. 59:54we're getting access
  1699. 59:57putting opioids in the hands of
  1700. 59:58Americans who are really suffering with
  1701. 1:00:00pain management and whatnot and I didn't
  1702. 1:00:03read the article to really understand
  1703. 1:00:04the details but I just thought it was an
  1704. 1:00:06incredible headline where it's like it's
  1705. 1:00:08just it's so counter to The Narrative of
  1706. 1:00:10what we've been told is happening which
  1707. 1:00:11is like you know over prescription and
  1708. 1:00:13misprescription if we learned anything
  1709. 1:00:15during Covetous to question every
  1710. 1:00:17organization everybody and to really
  1711. 1:00:19collect your own information while you
  1712. 1:00:22know looking at these organizations we
  1713. 1:00:25trusted over time I know I look at the
  1714. 1:00:26world differently now that you couldn't
  1715. 1:00:28say covid was possibly a lab leak
  1716. 1:00:31without having your podcast taken down
  1717. 1:00:32or being banned on YouTube and now
  1718. 1:00:35propublica has done an investigation and
  1719. 1:00:38they're saying along with Vanity Fair
  1720. 1:00:39and they're going to win a Pulitzer for
  1721. 1:00:40this I bet
  1722. 1:00:41that this conspiracy theory from two
  1723. 1:00:43years ago is probably actually the
  1724. 1:00:45leading theory and that the the Wuhan
  1725. 1:00:49lab Lab was showing if you didn't see it
  1726. 1:00:52reporting an incident in late November
  1727. 1:00:54of last year uh before covet broke 2019.
  1728. 1:00:58it's really it's really incredible there
  1729. 1:00:59was an article in the Atlantic
  1730. 1:01:01that came out over the past week called
  1731. 1:01:03let's declare a pandemic amnesty no yeah
  1732. 1:01:07investigation right so basically at
  1733. 1:01:10everything yes all the experts who told
  1734. 1:01:13us Jason that we weren't allowed to have
  1735. 1:01:14an opinion because we weren't expert
  1736. 1:01:16enough that if we raise any questions
  1737. 1:01:18about the origin of the virus that it
  1738. 1:01:20might have come from a lab that that
  1739. 1:01:21basically needs to be censored the
  1740. 1:01:23people who said we had to do lockdowns
  1741. 1:01:24and implemented all these authoritarian
  1742. 1:01:26tactics now they're saying that they
  1743. 1:01:29need an amnesty that what that really
  1744. 1:01:30means no one's looking no one's looking
  1745. 1:01:32to criminally prosecute them what we're
  1746. 1:01:34looking to do is have some
  1747. 1:01:35accountability around the public policy
  1748. 1:01:37what they want is they want to pull the
  1749. 1:01:39expert card to say that they're the only
  1750. 1:01:41ones who get to have an opinion and make
  1751. 1:01:42a decision but then when it all goes
  1752. 1:01:44horribly awry they basically want to be
  1753. 1:01:46completely insulated and unaccountable
  1754. 1:01:48no account in their decisions no way no
  1755. 1:01:50way we're not going to give you full
  1756. 1:01:52investigations we're in alignment on
  1757. 1:01:54this side by the way can I just yes hold
  1758. 1:01:55on I just want to say sex we're in
  1759. 1:01:57alignment on this for a rare moment of
  1760. 1:01:59Peace on this podcast the same thing
  1761. 1:02:01after 9 11 shouldn't all Americans
  1762. 1:02:03understand what happened after 9 11 and
  1763. 1:02:05what the failures were in our
  1764. 1:02:07intelligence just so we can get better I
  1765. 1:02:09I'm not picking a political horse here
  1766. 1:02:10but it's kind of crazy that you could
  1767. 1:02:13people said to our podcast and other
  1768. 1:02:15people who were questioning it forget
  1769. 1:02:17about what political party you're in
  1770. 1:02:19just want to understand how the world
  1771. 1:02:20Works what are the chances that this
  1772. 1:02:23breaks out in the one or two places
  1773. 1:02:24where they're studying the coronavirus
  1774. 1:02:26that you have a lab leak it was so
  1775. 1:02:28obvious to everybody the other reason
  1776. 1:02:30why you need to have accountability for
  1777. 1:02:31this is that there are still a long tail
  1778. 1:02:33especially around the damage that we did
  1779. 1:02:36to our kids educationally yes and now
  1780. 1:02:38and now the over prescription of
  1781. 1:02:40stimulants and so if you don't
  1782. 1:02:41depression sensors you can't go after
  1783. 1:02:43these problems like there was a there
  1784. 1:02:46was like
  1785. 1:02:48stimulant prescription is now the single
  1786. 1:02:51biggest epidemic in children it is now
  1787. 1:02:53twice as prescribed as contraceptives
  1788. 1:02:56and Asthma drugs and why chamoth why are
  1789. 1:02:59we doing this to get them to score
  1790. 1:03:01higher on a test to be more attentive in
  1791. 1:03:02school well it's it's actually this
  1792. 1:03:04negative feedback loop where these
  1793. 1:03:06children were miseducated during covet
  1794. 1:03:12it had huge psychological and
  1795. 1:03:15academic damage to them
  1796. 1:03:18our test scores have fallen off of a
  1797. 1:03:20cliff relative to how we used to do
  1798. 1:03:21relative to other countries
  1799. 1:03:24I think the teachers unions have found a
  1800. 1:03:26way to try to explain it
  1801. 1:03:29to basically Shield themselves from any
  1802. 1:03:31sort of critique
  1803. 1:03:33and so the loot and then part of that
  1804. 1:03:35Loop is then to look at a bunch of kids
  1805. 1:03:37that are underperforming in school and
  1806. 1:03:39instead of saying well maybe these
  1807. 1:03:41lockdowns and masking and all of these
  1808. 1:03:43things that we implemented actually had
  1809. 1:03:46a huge impact they say uh you know
  1810. 1:03:47you're misbehaving so let's put you on a
  1811. 1:03:49stimulant yeah it's crazy we're in that
  1812. 1:03:51Loop right now just so you guys know the
  1813. 1:03:53data is outrageous twice as many
  1814. 1:03:56prescriptions for stimulants as the sum
  1815. 1:03:59of contraceptives and Asthma drugs for
  1816. 1:04:02All American Kids yeah it's not that
  1817. 1:04:04suddenly everybody's got ADHD so we
  1818. 1:04:07failed them we failed our children and
  1819. 1:04:10and we're going to use stimulants to
  1820. 1:04:11have them ketchup weeks but we should be
  1821. 1:04:12doing Summer Schools after school
  1822. 1:04:14programs
  1823. 1:04:16we failed them because of our response
  1824. 1:04:18to covet that is why we need answers to
  1825. 1:04:20all that stuff because you need to link
  1826. 1:04:21these things together to have some real
  1827. 1:04:23accountability absolutely here is the uh
  1828. 1:04:26just so we have the people see the
  1829. 1:04:27numbers here's the 538 poll of uh how
  1830. 1:04:30Joe Biden's popularity has switched this
  1831. 1:04:32is uh 654 days into
  1832. 1:04:35his presidency started out really strong
  1833. 1:04:3754 and now a little rebound since the
  1834. 1:04:41summer obviously that uh dip started uh
  1835. 1:04:45with the economy it's the economy stupid
  1836. 1:04:46and if we go down a little bit on the
  1837. 1:04:49same page and you zoom in on the left
  1838. 1:04:50there you can see compared to Donald
  1839. 1:04:51Trump
  1840. 1:04:52uh he started out much more popular than
  1841. 1:04:54Donald Trump day by day and now he's
  1842. 1:04:56just as unpopular as Donald Trump was at
  1843. 1:04:58this point in his presidency well look I
  1844. 1:05:00mean look the setup is really
  1845. 1:05:01interesting for 2024 because it's
  1846. 1:05:03probably going to be the case that we're
  1847. 1:05:04in the middle of a recession going into
  1848. 1:05:06that election cycle maybe we'll be sort
  1849. 1:05:09of like getting ourselves out of it but
  1850. 1:05:11there'll be a lot of economic damage
  1851. 1:05:12high unemployment
  1852. 1:05:14and you know typically
  1853. 1:05:16folks in power will have to sort of be
  1854. 1:05:18held accountable for that it's a really
  1855. 1:05:20interesting setup that both Gavin Newsom
  1856. 1:05:22and Ron DeSantis have to figure out now
  1857. 1:05:25and navigate if they're going to get the
  1858. 1:05:27nomination on each side and breaking
  1859. 1:05:29news today sax would love to get your
  1860. 1:05:31thoughts on this axio says uh and we'll
  1861. 1:05:34go to science Corner next that Trump's
  1862. 1:05:36going to announce on November 14th that
  1863. 1:05:39he is running for president look I I
  1864. 1:05:41kind of have the Joe Rogan philosophy on
  1865. 1:05:43this which is why I give it oxygen let's
  1866. 1:05:45just wait and see there's certainly no
  1867. 1:05:46needs to talk about it before it happens
  1868. 1:05:48you know we're not even past this
  1869. 1:05:50election yet but but hey I want to go
  1870. 1:05:52back to the the Biden popularity because
  1871. 1:05:54I think part of the issue here is what
  1872. 1:05:57are the arguments that Biden is making
  1873. 1:05:59to the country about why people should
  1874. 1:06:01vote Democratic and he gave another
  1875. 1:06:04speech on Wednesday night where he
  1876. 1:06:07basically claimed that if you vote for a
  1877. 1:06:10different party that that is a threat to
  1878. 1:06:12democracy in other words the
  1879. 1:06:13perpetuation of single party rule is
  1880. 1:06:16what you must do if you care about
  1881. 1:06:17democracy that is a sales pitch that's
  1882. 1:06:20not going to appeal to anybody outside
  1883. 1:06:21of the viewers of MSNBC it's just not
  1884. 1:06:24he's not talking about the issues that
  1885. 1:06:25really matter to the country you know
  1886. 1:06:27what the country wants to know is that
  1887. 1:06:29he's focused on the economy he's focused
  1888. 1:06:31on inflation he's focused on crime he's
  1889. 1:06:33focused on the schools and fixing this
  1890. 1:06:36learning loss that Jamal was just
  1891. 1:06:37talking about he's not doing those
  1892. 1:06:39things instead he's basically saying
  1893. 1:06:41that the Democrats should be kept in
  1894. 1:06:42power forever because there was a riot
  1895. 1:06:45at the Capitol on January 6 and look
  1896. 1:06:46that was a stain on the country okay it
  1897. 1:06:49was terrible that that happened
  1898. 1:06:50disgusting that is not a reason hold on
  1899. 1:06:52a second that is not a reason to keep
  1900. 1:06:53Democrats in power forever and actually
  1901. 1:06:56there's a
  1902. 1:06:57um a liberal guy a liberal Democrat
  1903. 1:06:59named Josh Barrow who wrote a pretty
  1904. 1:07:00good blog about this and what he said is
  1905. 1:07:03the message is that there's only one
  1906. 1:07:05party contesting this election that is
  1907. 1:07:08committed to democracy the Democrats and
  1908. 1:07:10therefore only one real Choice available
  1909. 1:07:11if voters reject Democrats agenda or
  1910. 1:07:14their record on issues including
  1911. 1:07:16inflation crime and immigration they
  1912. 1:07:17have no recourse to The Ballot Box they
  1913. 1:07:19simply must vote for Democrats anyway
  1914. 1:07:21and that argument is just not flying and
  1915. 1:07:23actually he's a a Democrat who is
  1916. 1:07:26pointing this out but I don't think that
  1917. 1:07:28Democrats are getting the message on
  1918. 1:07:30this but I think they will after this
  1919. 1:07:32election and they're gonna have to find
  1920. 1:07:34a new sales pitch to The Country well
  1921. 1:07:35you know and he does have a good sales
  1922. 1:07:37pitch doesn't each a month with these
  1923. 1:07:39major bipartisan uh wins he had the
  1924. 1:07:41infrastructure deal got done the
  1925. 1:07:43technology bill and the chips you got
  1926. 1:07:45gas prices going down yeah GDP growth
  1927. 1:07:47you got job growth the problem is that
  1928. 1:07:50those things happened frankly too early
  1929. 1:07:52in his presidency and things are getting
  1930. 1:07:54materially worse so I just sent you a
  1931. 1:07:55link can you just throw this up here for
  1932. 1:07:57a second you know Jason you mentioned
  1933. 1:07:59this cheaper gas thing yeah but the
  1934. 1:08:01reality is um if you look at this we
  1935. 1:08:04have now depleted our strategic goal
  1936. 1:08:06Reserve by almost 50 percent yep so we
  1937. 1:08:09are running out of
  1938. 1:08:10oil that we can introduce into the
  1939. 1:08:12market at effectively zero cost to bring
  1940. 1:08:15the price down and because we've lost
  1941. 1:08:17our relationships with folks like Saudi
  1942. 1:08:19Arabia there's no way to influence them
  1943. 1:08:22in order to produce more in fact they're
  1944. 1:08:24going to cut Supply so that they can
  1945. 1:08:26control the prices that they have which
  1946. 1:08:29that they can sell into the market and
  1947. 1:08:32so now what are we left with well the
  1948. 1:08:34only three places where you can have
  1949. 1:08:35incremental supply of energy which the
  1950. 1:08:38country still needs is from Russia Iran
  1951. 1:08:41and Venezuela
  1952. 1:08:43and so you know all of these things
  1953. 1:08:45Jason I think come back
  1954. 1:08:47and really put Biden in a tough place
  1955. 1:08:48because as as Sac says he does have to
  1956. 1:08:51answer to all of these things because
  1957. 1:08:52these are his decisions
  1958. 1:08:54look I still believe in the Democrats
  1959. 1:08:56you know I I'm hoping I gave a million
  1960. 1:08:59bucks uh to the Senate pact trying to
  1961. 1:09:01sort of tip the Senate I really think
  1962. 1:09:03it's important that we have a split
  1963. 1:09:05government because I've kind of I gave
  1964. 1:09:06up on the house I think it's clear that
  1965. 1:09:08the Republicans are going to win but the
  1966. 1:09:10Senate is still is still up for grabs
  1967. 1:09:12and the reason is because I think that
  1968. 1:09:14we need to sort of have stasis so that
  1969. 1:09:17nothing bad happens between now and 2024
  1970. 1:09:20because I think the economic conditions
  1971. 1:09:22on the ground are going to be bad in and
  1972. 1:09:24of themselves
  1973. 1:09:27and then just the one last thing I'll
  1974. 1:09:29say is
  1975. 1:09:30the instructive thing that I think we
  1976. 1:09:32should look at is what happened in
  1977. 1:09:33Germany
  1978. 1:09:34because what happened in Germany is
  1979. 1:09:36really interesting when the economy
  1980. 1:09:37turns and inflation is out of control
  1981. 1:09:39and energy is out of control
  1982. 1:09:42what they basically did was they
  1983. 1:09:43sidelined
  1984. 1:09:45the European Central Bank they stepped
  1985. 1:09:48in with their own balance sheet and said
  1986. 1:09:49you know what we're going to nationalize
  1987. 1:09:51assets and I know that this sounds crazy
  1988. 1:09:53to say but if it can happen in a place
  1989. 1:09:55like Germany I know most people would
  1990. 1:09:57say it'll never happen in America but
  1991. 1:09:59I'm not so sure and I think that you
  1992. 1:10:02want to make sure that there's a split
  1993. 1:10:04government so that these things are
  1994. 1:10:06never possible and so hopefully there's
  1995. 1:10:09some you know Common Ground in a
  1996. 1:10:11Democratic Senate and a republican house
  1997. 1:10:13and we just kind of get through 24 and
  1998. 1:10:15see where the chips land and I still
  1999. 1:10:17think it's going to be uh DeSantis
  2000. 1:10:19versus uh Newsome Freeburg any final
  2001. 1:10:21thoughts here on politics my first um
  2002. 1:10:24observation is that I think it's funny
  2003. 1:10:25that chamoth and sax are funding
  2004. 1:10:27opposite uh sides of the uh
  2005. 1:10:30yeah why don't you just guys just give
  2006. 1:10:32the money to me and Friedberg to get a
  2007. 1:10:34plan each other's money up yeah I could
  2008. 1:10:37think of other ways for you guys to use
  2009. 1:10:38that money but David and I may have
  2010. 1:10:39canceled each other out you're right I
  2011. 1:10:41mean yeah so far Peter Thiel made the
  2012. 1:10:43better trade he's it looks like the teal
  2013. 1:10:44wave in the Senate so look I would say
  2014. 1:10:46my very broad statement is
  2015. 1:10:49democracies evolve in a cyclical nature
  2016. 1:10:52over time right you often see swings
  2017. 1:10:55from one political party to the other
  2018. 1:10:58and um it's just the nature that once
  2019. 1:11:00someone's been in office they form the
  2020. 1:11:02new establishment and then folks in the
  2021. 1:11:05next election cycle want to vote against
  2022. 1:11:06that establishment because there are
  2023. 1:11:08things that they want that they aren't
  2024. 1:11:09being given today and therefore the
  2025. 1:11:11Democracy forces a change from what is
  2026. 1:11:14the current establishment back to the
  2027. 1:11:16other side and generally political
  2028. 1:11:17parties seem to kind of adopt whatever
  2029. 1:11:19the other side is and that's how the
  2030. 1:11:21cyclical evolution of democracy seems to
  2031. 1:11:23play out the recent Trend that has been
  2032. 1:11:25more alarming which I think we can kind
  2033. 1:11:27of take pause to notice is the rise of
  2034. 1:11:30populism where populism is this really
  2035. 1:11:32kind of vehement Die Hard opposition to
  2036. 1:11:35elitism and the establishments that
  2037. 1:11:37everyone feels kept down by and everyone
  2038. 1:11:39feels taken advantage of by
  2039. 1:11:41and um the the rise of trump the rise of
  2040. 1:11:44bolsonaro the rise of Boris Johnson and
  2041. 1:11:47I would argue even the rise of AOC
  2042. 1:11:49Bernie Sanders and Elizabeth Warren all
  2043. 1:11:52similarly speak to the the crying voice
  2044. 1:11:56of the the Democratic
  2045. 1:11:59populations that they want to see these
  2046. 1:12:03establishments taken apart they don't
  2047. 1:12:06feel like they're Fair they don't feel
  2048. 1:12:07like they're just they don't feel like
  2049. 1:12:09the institutions that oversee us and are
  2050. 1:12:11meant to service us are servicing us
  2051. 1:12:14um and so there was this big rise the
  2052. 1:12:16problem is like a normal pendulum would
  2053. 1:12:18swing back and forth between one side
  2054. 1:12:19and the other with the rise of populism
  2055. 1:12:21you get such a strong push of that
  2056. 1:12:23pendulum it can knock through a wall and
  2057. 1:12:25I think we saw that on January 6th and I
  2058. 1:12:27think it gave a lot of people pause we
  2059. 1:12:29saw the the motion of brexit knocking
  2060. 1:12:33through a wall and we saw these kind of
  2061. 1:12:35very radical outcomes and then the cost
  2062. 1:12:38of those outcomes
  2063. 1:12:40blow up in our face and as a result I
  2064. 1:12:43think we're seeing a bit of a receding
  2065. 1:12:45of the tides right now away from
  2066. 1:12:46populism during this current electoral
  2067. 1:12:49cycle where folks are saying you know
  2068. 1:12:51what maybe we just need to have some
  2069. 1:12:52sort of an establishment so I can feel
  2070. 1:12:54safe and secure less than the volatile
  2071. 1:12:56volatility that I've experienced of late
  2072. 1:12:58look I think you look at the economic
  2073. 1:13:00mess we're in okay populist did not
  2074. 1:13:02cause that okay populists did not cause
  2075. 1:13:0410 trillion dollars of money printing it
  2076. 1:13:06was Modern monetary Theory and the
  2077. 1:13:08experts the FED who did that it wasn't
  2078. 1:13:10populous who created the great financial
  2079. 1:13:12crisis of 2008 that caused the zurp and
  2080. 1:13:14we're still living with all the
  2081. 1:13:16downstream effects of that it was the
  2082. 1:13:18experts on Wall Street who said they
  2083. 1:13:20could manage all these derivatives and
  2084. 1:13:22the collateralized mortgage obligations
  2085. 1:13:24and all that stuff that they lost
  2086. 1:13:26control over I would argue hold on
  2087. 1:13:32it was not populous who caused the
  2088. 1:13:36horrible handling of that pandemic even
  2089. 1:13:38though they were blamed for remember we
  2090. 1:13:39were told it was a pandemic of the
  2091. 1:13:41unvaccinated then it turns out the
  2092. 1:13:42vaccine doesn't stop it it was not
  2093. 1:13:45populous who caused the reaction to the
  2094. 1:13:46pandemic it was the experts the CDC and
  2095. 1:13:49falching people like that who shut down
  2096. 1:13:51our economy who caused the learning loss
  2097. 1:13:54it was those experts so Freeburg listen
  2098. 1:13:56you may not like this populist waiver
  2099. 1:13:58that we have in the country and I get
  2100. 1:13:59that but it's in reaction to something
  2101. 1:14:01real which is the failure of this expert
  2102. 1:14:04class and if you want to stop having
  2103. 1:14:07this populist wave rise up we need to
  2104. 1:14:10start having experts in position of
  2105. 1:14:12power who actually know what they're
  2106. 1:14:13doing well one way to say that sorry
  2107. 1:14:15Jake out hang on a second I don't have
  2108. 1:14:16any opposition to the populist wave I'm
  2109. 1:14:19making the observation that the uh the
  2110. 1:14:21effects of some of the populist
  2111. 1:14:23movements have started to become too
  2112. 1:14:25volatile for people to feel like they
  2113. 1:14:27should continue forward with that
  2114. 1:14:28electoral path that was my observation
  2115. 1:14:30okay I'm not kind of criticizing the
  2116. 1:14:32populist movement I'm just saying that
  2117. 1:14:34events like January 6th and the
  2118. 1:14:36conditions in the UK for example are
  2119. 1:14:38making people say wait a second maybe I
  2120. 1:14:40need to take pause on the extreme the
  2121. 1:14:42bond market basically fired list trust I
  2122. 1:14:44mean she's not a populist and you know
  2123. 1:14:46in Bolson bolsonaro in Brazil he
  2124. 1:14:49actually just lost and there was this
  2125. 1:14:51big narrative that somehow he was gonna
  2126. 1:14:53not relinquish power and he just
  2127. 1:14:55announced that he will relinquish power
  2128. 1:14:56right so you know some of the stuff that
  2129. 1:14:59is about how populists pose this great
  2130. 1:15:01danger I think is threat inflation and
  2131. 1:15:04that the threat is magnified by Elites
  2132. 1:15:06who want to stay in power and the truth
  2133. 1:15:08of the matter is we need accountability
  2134. 1:15:10for the people in power and when they
  2135. 1:15:12set the wrong policies and decisions
  2136. 1:15:13they need to be replaced no more no more
  2137. 1:15:16unaccountability yeah I
  2138. 1:15:19just just to my personal belief 100
  2139. 1:15:21agree
  2140. 1:15:23that's all of these institutions
  2141. 1:15:26accountability maybe competence and also
  2142. 1:15:28transparency and accountability like I
  2143. 1:15:30think that's what the public wants I
  2144. 1:15:31mean competencies
  2145. 1:15:35there's no way to perfectly react to the
  2146. 1:15:38pandemic but in your mistakes owning
  2147. 1:15:41them and explaining them would it be
  2148. 1:15:43much better than trying to obscurify it
  2149. 1:15:45and asking for amnesty chamoth you're
  2150. 1:15:47not um if you want to hear an incredibly
  2151. 1:15:49interesting interview
  2152. 1:15:52because it's very thought-provoking of a
  2153. 1:15:55modern Progressive uh but with a very
  2154. 1:15:57different mindset or sorry you know
  2155. 1:16:00maybe you don't want to call him a
  2156. 1:16:01progressive but is the president of El
  2157. 1:16:04Salvador naive bouquelli and he did this
  2158. 1:16:06incredible interview with Tucker Carlson
  2159. 1:16:08on Fox News I encourage everybody to
  2160. 1:16:10watch it on both sides of the political
  2161. 1:16:12Spectrum
  2162. 1:16:13that man is impressive
  2163. 1:16:15did we just get an admission that your
  2164. 1:16:17mouth watches Tucker I watch I watched
  2165. 1:16:19that interview you watch the talker oh
  2166. 1:16:21my Lord Jason's head's explode you know
  2167. 1:16:23because I I try not to be against the
  2168. 1:16:25moment ignoramus it's an Entertainer I
  2169. 1:16:27like to watch things on both sides but
  2170. 1:16:29that interview is incredible He is
  2171. 1:16:31unbelievable impressive and it's a it
  2172. 1:16:33double clicks into you know the
  2173. 1:16:35skepticism that smart people like him
  2174. 1:16:38the outsider class has with The Insider
  2175. 1:16:41expert class in a nutshell if you want
  2176. 1:16:43to see it I would encourage you to watch
  2177. 1:16:45this interview because it's it's
  2178. 1:16:46incredible incredible really really
  2179. 1:16:48Jason The Peasants with pitchforks are
  2180. 1:16:51rising up against this Elite Class who
  2181. 1:16:54put themselves up they've set themselves
  2182. 1:16:55up as Lords they want exclusive control
  2183. 1:16:58over their blue checks and we're about
  2184. 1:17:01to overturn this establishment because
  2185. 1:17:04it is corrupt and it is incompetent
  2186. 1:17:08be great if the people who worked for us
  2187. 1:17:09were confident back on Megan Kelly owned
  2188. 1:17:12and we're transparent you know I think
  2189. 1:17:14that's why people are opting out of this
  2190. 1:17:16is they don't feel
  2191. 1:17:18that there's a level of competence in
  2192. 1:17:20these institutions nor ownership and
  2193. 1:17:22transparency and it really is
  2194. 1:17:24frustrating whether it's education or
  2195. 1:17:26it's health or
  2196. 1:17:28you know any of these topics we've
  2197. 1:17:31talked about here on the show let's go
  2198. 1:17:32to science corner and we can rap
  2199. 1:17:34what do you got free bark for us to mock
  2200. 1:17:36I think we were going to cover the
  2201. 1:17:39Facebook meta announcement that their AI
  2202. 1:17:42research team had generated the physical
  2203. 1:17:45structure of 617 million proteins
  2204. 1:17:49from these metagenomic data sets and so
  2205. 1:17:52remember Alpha fold made this big
  2206. 1:17:53announcement that they had highly
  2207. 1:17:56um accurate predictions of protein
  2208. 1:17:58structure the three-dimensional shape of
  2209. 1:17:59proteins and remember proteins are kind
  2210. 1:18:01of the Machines of biology that do
  2211. 1:18:03everything from catalysis to enzymes
  2212. 1:18:05where they break stuff down and they're
  2213. 1:18:07like you know they have all this
  2214. 1:18:09structure that allows them to do
  2215. 1:18:10specific physical things and proteins
  2216. 1:18:12are coded in DNA every three letters of
  2217. 1:18:14DNA codes for an amino acid a string of
  2218. 1:18:16amino acids makes a protein
  2219. 1:18:19and so you know we have about a million
  2220. 1:18:21species
  2221. 1:18:23where we've sequenced the entire Genome
  2222. 1:18:25of those species only about 3 000
  2223. 1:18:27Animals by the way including humans
  2224. 1:18:29half a million from bacterial species
  2225. 1:18:31and then a bunch of viruses and other
  2226. 1:18:34stuff but but call it about a million
  2227. 1:18:35species that we've sequenced and so
  2228. 1:18:38you know earlier this year
  2229. 1:18:40Google's Alpha fold project published
  2230. 1:18:42the 3D structure of 200 million proteins
  2231. 1:18:45that they had derived from the whole
  2232. 1:18:47genome databases that existed where
  2233. 1:18:49we've gone through and figured out
  2234. 1:18:50what's the full DNA sequence of all
  2235. 1:18:52these different species
  2236. 1:18:53now
  2237. 1:18:55when you look at the DNA in the
  2238. 1:18:56environment around us you were just to
  2239. 1:18:59take the DNA out it turns out that we
  2240. 1:19:01have seen very little of that DNA the
  2241. 1:19:04vast majority of DNA that you would find
  2242. 1:19:07in a teaspoon of soil for example we've
  2243. 1:19:10never classified it's not part of a
  2244. 1:19:12species that we've actually built the
  2245. 1:19:13whole genome around we may not even know
  2246. 1:19:15what species that DNA is from and so
  2247. 1:19:18when you take a teaspoon of soil you'll
  2248. 1:19:20get about 100 billion microorganisms in
  2249. 1:19:22that soil from about a million unique
  2250. 1:19:24species but you don't see those species
  2251. 1:19:26because the way DNA sequencing or
  2252. 1:19:28shotgun sequencing works is DNA is
  2253. 1:19:30chopped up into little 250 base pair of
  2254. 1:19:33Lights little 250 strands and those 250
  2255. 1:19:36letters are read at a time and then
  2256. 1:19:38statistically bioinformatics puts
  2257. 1:19:41together all of that little DNA segments
  2258. 1:19:43and tries to create long strands of DNA
  2259. 1:19:45to figure out what the genes are or what
  2260. 1:19:47the whole genome is and so shotgun
  2261. 1:19:49sequencing gives us kind of a snapshot
  2262. 1:19:51of the DNA but until we've done the hard
  2263. 1:19:54work of figuring out the whole whole
  2264. 1:19:55genome we don't know what species that
  2265. 1:19:57DNA comes from so when you take a sample
  2266. 1:20:00of soil or you take a sample of human
  2267. 1:20:02poop and you sequence it or even a
  2268. 1:20:04teaspoon of ocean water and you just
  2269. 1:20:06sequence the DNA in it you get all of
  2270. 1:20:09these little segments of DNA that we've
  2271. 1:20:10never seen before and you can string
  2272. 1:20:12them together statistically because you
  2273. 1:20:13get lots and lots of copies of them and
  2274. 1:20:15you can figure out the overlap and then
  2275. 1:20:17you can create these genes and a gene is
  2276. 1:20:19a segment of DNA that codes for a
  2277. 1:20:20protein and those genes make up the
  2278. 1:20:23metagenome or the combination of all the
  2279. 1:20:25genes that we find in a in a piece of of
  2280. 1:20:28the environment and that meta genome
  2281. 1:20:31comes from millions of species that
  2282. 1:20:32we've never seen before so what Alpha
  2283. 1:20:35what they did at meta is they took all
  2284. 1:20:36of those genes that we pull out of the
  2285. 1:20:39soil or we'd pull out of the ocean and
  2286. 1:20:40they picked a bunch of random samples
  2287. 1:20:42and they then predicted the physical
  2288. 1:20:44structure of the proteins from just
  2289. 1:20:47those genes without knowing what
  2290. 1:20:50organism they came from and this gives
  2291. 1:20:52us a whole new universe of proteins that
  2292. 1:20:54we've never classified before or never
  2293. 1:20:57seen before now I will just kind of
  2294. 1:20:59speak a little bit critically about it
  2295. 1:21:01number one they didn't do what Alpha
  2296. 1:21:03fall did what Alpha full did is they
  2297. 1:21:04took 3D structures from typically x-ray
  2298. 1:21:07crystallography then they took the the
  2299. 1:21:09DNA code and they built machine learned
  2300. 1:21:11models to figure out the 3D structure
  2301. 1:21:13from the DNA code what these guys did at
  2302. 1:21:16meta is they took the 3D structures and
  2303. 1:21:19the code and they basically did a fill
  2304. 1:21:21in the blank they found all the
  2305. 1:21:23metagenome data out of these samples and
  2306. 1:21:25a lot of it was missing and they filled
  2307. 1:21:27in the missing blanks using kind of
  2308. 1:21:29common protein structure that existed
  2309. 1:21:32out there in the wild that we already
  2310. 1:21:33knew from the alpha full data and so
  2311. 1:21:35they kind of did a fill in the blank and
  2312. 1:21:37as a result it allowed them to very
  2313. 1:21:38quickly build these 3D models versus
  2314. 1:21:40doing the hard and rigorous work that
  2315. 1:21:42Alpha fold had to do so they claimed
  2316. 1:21:43that it was 60 times faster but it's
  2317. 1:21:45actually an entirely different technique
  2318. 1:21:47and the second thing is that they
  2319. 1:21:49represent that only about a third of it
  2320. 1:21:50is high quality meaning only about a
  2321. 1:21:52third of the proteins that they've
  2322. 1:21:54created structure for are really useful
  2323. 1:21:56or or that could be kind of Applied uh
  2324. 1:21:58in terms of this is the real
  2325. 1:21:59representation now why is this
  2326. 1:22:01interesting and important proteins can
  2327. 1:22:03form the basis of new medicines so you
  2328. 1:22:06know we can find proteins in the soil a
  2329. 1:22:08genomes in the soil and proteins in the
  2330. 1:22:10soil that can kill certain fungal
  2331. 1:22:12pathogens that can kill bacteria and
  2332. 1:22:14those can be turned into fungicides they
  2333. 1:22:16can be turned into antibiotics we can
  2334. 1:22:18find proteins that bind to specific
  2335. 1:22:20things we can find proteins that fix
  2336. 1:22:22nitrogen from the atmosphere and those
  2337. 1:22:24proteins can be turned into new types of
  2338. 1:22:25fertilizer so you know searching through
  2339. 1:22:28this universe of proteins that exists in
  2340. 1:22:31the metagenome will allow us to find new
  2341. 1:22:33molecules to do new and interesting
  2342. 1:22:35things with in the applied engineering
  2343. 1:22:38world
  2344. 1:22:38and I will say like this is what would
  2345. 1:22:40the output of these be is what
  2346. 1:22:41everybody's going to be thinking
  2347. 1:22:42antibiotics fertilizers I mean the idea
  2348. 1:22:45of the metagenome is rather than start
  2349. 1:22:47with the species and then take the genes
  2350. 1:22:49out of it just go get the genes the
  2351. 1:22:51genes are already there they're in this
  2352. 1:22:52they're in the ocean they're in the soil
  2353. 1:22:53and there's millions of genes hundreds
  2354. 1:22:55of millions billions of genes that we've
  2355. 1:22:57never seen before therefore there's
  2356. 1:22:58billions of proteins now we could
  2357. 1:23:00randomly create proteins but the number
  2358. 1:23:02of proteins that could exist is more
  2359. 1:23:04than the number of atoms in the universe
  2360. 1:23:05because remember there's 20 amino acids
  2361. 1:23:07so 20 to the 200th power or 20 to the
  2362. 1:23:10300th power or 20 to the thousandth
  2363. 1:23:12power meaning how many different
  2364. 1:23:13combinations of amino acids can you make
  2365. 1:23:15that's more than there are atoms in the
  2366. 1:23:16universe so the best place to start is
  2367. 1:23:19what evolution has already given us all
  2368. 1:23:21the proteins that exist in the
  2369. 1:23:22environment so let's go find those
  2370. 1:23:24proteins in the environment and then
  2371. 1:23:26let's figure out what do we think they
  2372. 1:23:27can be used for can they be used in
  2373. 1:23:28industrial applications in medicine can
  2374. 1:23:31they be doing them in Material Science
  2375. 1:23:33you're saying Material Science and so
  2376. 1:23:35you know a lot of drug Discovery mines
  2377. 1:23:38proteins it tries to find proteins and
  2378. 1:23:40figure out what can these proteins be
  2379. 1:23:42used for and now we have all these new
  2380. 1:23:44data sets of proteins that are being
  2381. 1:23:46generated from these metagenomes and so
  2382. 1:23:48it's amazing I mean you know look at the
  2383. 1:23:50world around you look everywhere up and
  2384. 1:23:52down on the walls on the ground below
  2385. 1:23:54you there are billions of species of
  2386. 1:23:57organisms that we've never classified
  2387. 1:23:58before that are making billions of
  2388. 1:24:00unique proteins that we've never
  2389. 1:24:01classified before and any one of them
  2390. 1:24:03could unlock an amazing commercial
  2391. 1:24:06opportunity
  2392. 1:24:07for industry so and for medicine and for
  2393. 1:24:09human health that's what's really
  2394. 1:24:11exciting about this ability to kind of
  2395. 1:24:13mine the metagenome silly question for
  2396. 1:24:15you or maybe not silly uh we have gotten
  2397. 1:24:19the precursors to DNA for meteorites if
  2398. 1:24:22I understand correctly
  2399. 1:24:24what do they call them nucleobases
  2400. 1:24:26nucleic acids yeah yeah
  2401. 1:24:30um thymine Etc like things that exist in
  2402. 1:24:33DNA
  2403. 1:24:34that are precursors we've never had DNA
  2404. 1:24:37from space obviously but we could at
  2405. 1:24:40some point start to find DNA out there
  2406. 1:24:42in space and this could have an even
  2407. 1:24:43crazier impact on what we built here
  2408. 1:24:46is that the next card to turn over after
  2409. 1:24:47we every human gene home what's here no
  2410. 1:24:50I wouldn't say so I like I think look if
  2411. 1:24:52there's DNA that's coming to us for
  2412. 1:24:54meteorites call it a couple hundred
  2413. 1:24:55genes you could pick up a piece of uh
  2414. 1:24:58soil and find over a billion genes in
  2415. 1:25:00that teaspoon of soil right so uh we
  2416. 1:25:03have far more to mine here on Earth and
  2417. 1:25:05the low cost of DNA sequencing and
  2418. 1:25:06shotgun sequencing coupled with
  2419. 1:25:08bioinformatics where we take all that so
  2420. 1:25:10just to give you guys when you take a
  2421. 1:25:12teaspoon of soil and you get the DNA out
  2422. 1:25:14and you read the DNA out of it sequence
  2423. 1:25:16the DNA that's potentially tens of
  2424. 1:25:18gigabytes of data and then you could do
  2425. 1:25:21that millions of times over and then you
  2426. 1:25:22statistically can find genes and then
  2427. 1:25:24statistically estimate what they
  2428. 1:25:26physically look like what those proteins
  2429. 1:25:28look like and then you can start to
  2430. 1:25:29build models around which ones do we
  2431. 1:25:31want to try and use for drug
  2432. 1:25:32applications which ones do we want so
  2433. 1:25:34there's so much work to do
  2434. 1:25:36it just in terms of what we have here on
  2435. 1:25:38Earth and the tools are getting so cheap
  2436. 1:25:40and so available there are Labs that are
  2437. 1:25:42all over the world starting to kind of
  2438. 1:25:44spring up to do this work it's super
  2439. 1:25:45exciting
  2440. 1:25:46adults
  2441. 1:25:48it's kind of it you know just to put two
  2442. 1:25:50ideas together I've said before like the
  2443. 1:25:52two big investable themes that I'm
  2444. 1:25:55orienting my organization around is this
  2445. 1:25:57one is that the marginal cost of energy
  2446. 1:25:59goes to zero and the second is that the
  2447. 1:26:01marginal cost of compute goes to zero
  2448. 1:26:03and the second one is really about
  2449. 1:26:04shifting compute to more parallelism on
  2450. 1:26:07gpus and Asics and fpgas but that's why
  2451. 1:26:10all of this stuff is possible the fact
  2452. 1:26:12that you know meta can do this and
  2453. 1:26:14Google can do alpha fold is largely
  2454. 1:26:17because the cost of all of this stuff is
  2455. 1:26:20you know trivial for these kinds of
  2456. 1:26:21companies so it's really exciting it's
  2457. 1:26:23going to move science
  2458. 1:26:25in my opinion out of this in Vivo in
  2459. 1:26:28vitro experimentation model into silica
  2460. 1:26:31and so those who can actually build
  2461. 1:26:33learning machines will solve some of the
  2462. 1:26:35most important biological problems so I
  2463. 1:26:37I'm a real believer in this stuff I
  2464. 1:26:39think it's super exciting when do you
  2465. 1:26:41think this stuff actually hits Friedberg
  2466. 1:26:43our life that's always when people talk
  2467. 1:26:46about these discoveries yeah a lot of
  2468. 1:26:47people don't realize it but so many um
  2469. 1:26:49molecules that that are used in
  2470. 1:26:51agriculture like fungicides to to kill
  2471. 1:26:53fungus in the fields those are derived
  2472. 1:26:56from this sort of work a lot of
  2473. 1:26:58antibiotics a lot of medicines are
  2474. 1:27:00already derived from mining genomes
  2475. 1:27:02finding new proteins and seeing what
  2476. 1:27:04those proteins can do because these
  2477. 1:27:06proteins didn't evolve in the
  2478. 1:27:07environment randomly they evolved to do
  2479. 1:27:09something and in many cases we can take
  2480. 1:27:11that thing that they do and then harness
  2481. 1:27:13it into a product and that's what's so
  2482. 1:27:16exciting and this this affects
  2483. 1:27:17everything Material Science
  2484. 1:27:19you know agriculture human health
  2485. 1:27:22it's uh it's a food it's really profound
  2486. 1:27:25awesome all right everybody there you
  2487. 1:27:27have it that's another all in podcast in
  2488. 1:27:29the camera by the way so many so many of
  2489. 1:27:32Freeburg stands were afraid Jay Cal that
  2490. 1:27:33you and I were gonna make some joke and
  2491. 1:27:35we didn't no we didn't and so for all
  2492. 1:27:37these fans I just I hope you guys can
  2493. 1:27:39exhale
  2494. 1:27:40take a deep breath man have some you
  2495. 1:27:42know eggless mail and uh enjoy your
  2496. 1:27:45weekend
  2497. 1:27:46uh enjoy your week bye bye everybody see
  2498. 1:27:48you next time love you besties love you
  2499. 1:27:49guys
  2500. 1:27:51we'll let your winners ride
  2501. 1:27:54Rain Man David's side
  2502. 1:27:59we open source it to the fans and
  2503. 1:28:01they've just gone crazy with it
  2504. 1:28:05[Music]
  2505. 1:28:08besties
  2506. 1:28:10[Music]
  2507. 1:28:30is
  2508. 1:28:34[Music]
  2509. 1:28:40[Music]

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