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Speaker 1: Hey guys, ready or not, twenty twenty four is here

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Speaker 1: and we here at Breaking Points, are already thinking of

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Speaker 1: ways we can up our game for this critical election.

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Speaker 1: We rely on our premium subs to expand coverage, upgrade

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Speaker 1: the studio ad staff give you, guys, the best independent

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Speaker 1: coverage that is possible. If you like what we're all about,

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Speaker 1: it means the absolute world to have your support. What

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Speaker 1: are you waiting for? Become a premium subscriber today at

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Speaker 1: Breakingpoints dot com. Good morning, everybody, Happy Thursday. We have

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Speaker 1: an amazing show for everybody today. What do we have

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Speaker 1: pristal Indeed, we do a lot of financial crimes to

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Speaker 1: get to this morning and potential financial crimes to get

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Speaker 1: to this morning. But of a mystery. We had the

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Speaker 1: latest inflation information come out, and before that data from

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Speaker 1: the government dropped in the minute before there were market moves,

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Speaker 1: so huge question of whether or not that info was

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Speaker 1: leaked so that people could jump out ahead of the

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Speaker 1: news and profit to their benefit. Also, the SEC charging

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Speaker 1: some sort of social media influencers with manipulating the market,

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Speaker 1: so we tell you about that. We also have new

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Speaker 1: text messages from many Republican members of Congress who were

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Speaker 1: very interested in stop the steal in overturning the election.

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Speaker 1: These were text messages exchange with then Chief of Staff

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Speaker 1: Mark Meadows. We also have again some new Elon Musk moves.

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Speaker 1: He had originally said when he was taking over Twitter

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Speaker 1: that he was not going to ban this account that

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Speaker 1: shares the publicly available data about where his private jet

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Speaker 1: is flying. He has now reverse course. He's also threatening

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Speaker 1: to sue the twenty year old who is running this account,

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Speaker 1: So we'll get into all of that. We also have

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Speaker 1: some new polling that we're going to lead the show

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Speaker 1: with that has Ron DeSantis taking a significant lead over

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Speaker 1: Donald Trump in the Republican primary. Matt Taibi is also

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Speaker 1: going to join us this morning to talk about the

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Speaker 1: Twitter files and what his biggest takeaways are there. But

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Speaker 1: before we get to any of that live show, I

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Speaker 1: got to say it again, live show, put it up

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Speaker 1: there on the screen. This is the last one, folks, Austin, Texas,

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Speaker 1: Paramount Theater, February third, on Friday. We will be there.

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Speaker 1: This is going to be a wrap up of the

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Speaker 1: tour just for the West coast folks. I would recommend

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Speaker 1: coming to this one because it is probably going to

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Speaker 1: be a little while before we do anything again. Paramount Theater,

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Speaker 1: February third, Friday, Austin, Texas. Crystal Saga and Friends. Maybe

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Speaker 1: some other fun stuff that we're going to do while

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Speaker 1: we're down there. Barbecue, of course, is what I'm talking about. Torchies,

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Speaker 1: shout out, Torchies, tephos. All right, so go ahead and

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Speaker 1: buy tickets. If you're a Premium member. It's going to

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Speaker 1: be exclusive the pre sale to Premium members for the

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Speaker 1: next couple of days and on sale to the general

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Speaker 1: public afterwards. Premium members, just look in your email that

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Speaker 1: you are going to receive today. The code will be

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Speaker 1: in there for you guys to go ahead and buy tickets.

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Speaker 1: As a reminder, Lifetime members, just go ahead and buy

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Speaker 1: your VIP ticket and then we will reimburse the cost

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Speaker 1: for the last couple of live shows. We are working

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Speaker 1: on the reimbursement currently. It will be credited to your

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Speaker 1: account on the credit card that you signed up for

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Speaker 1: your membership on. All right, Yeah enough, very well, I

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Speaker 1: have some more things to say. Number One, very excited

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Speaker 1: to come to Austin. We've been wanting to come to

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Speaker 1: Austin for a long time. We had an Austin show

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Speaker 1: on the books before COVID hit. So this has been

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Speaker 1: a long time coming. That's number one. Number two, you're

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Speaker 1: welcome because this is obviously the perfect Christmas gift. Yeah,

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Speaker 1: I love one in your life. So there you go.

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Speaker 1: It was actually a little bit strategic announcing before the holidays,

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Speaker 1: just in case, and it's right before Valentine's Day. The

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Speaker 1: show anyway, I'll stop, I'll stop now. Fun, it's a

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Speaker 1: fun It's going to be a fun time. It'll be fine.

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Speaker 1: We're looking forward to it. Love to see all of

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Speaker 1: you guys there. All right, let's get to the show,

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Speaker 1: our twenty twenty three special. Let's start with Ron DeSantis.

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Speaker 1: Some polling that really just shook the world. Should we

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Speaker 1: take it seriously? I don't know. Let's talk about it.

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Speaker 1: Let's put it up there on the screen. First and

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Speaker 1: foremost was USA Today with a poll headline Trump in trouble,

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Speaker 1: Republican support for a twenty twenty four bid falls amid

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Speaker 1: political and legal setback. So what they point to is

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Speaker 1: actual a double digit drop amongst GOP primary voters who

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Speaker 1: prefer Trump to Ron de Sandis, and in fact, they

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Speaker 1: are now showing a lead for Ron de Santis amongst

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Speaker 1: GOP and GOP leaning voters, on a two to one margin,

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Speaker 1: only thirty one percent said that they want the former

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Speaker 1: president to run, while sixty one percent preferred some other

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Speaker 1: Republican nominee who continue the policies that Trump has pursued.

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Speaker 1: Two thirds of those Republicans said that they were inclined

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Speaker 1: specifically to vote for Ron DeSantis by a fifty six

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Speaker 1: to thirty three margin. Just I mean, there's no way

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Speaker 1: of getting around that. It's a disaster for Trump, to

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Speaker 1: be clear. On the poll itself, one thousand registered voters,

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Speaker 1: margin of error plus or minus three point one points,

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Speaker 1: sample of three hundred and seventy four Republicans and independence

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Speaker 1: who leaned to the Republican Party, with an error margin

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Speaker 1: in that sample of five point one points. The reason

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Speaker 1: it matters, though, is that it comes amidst a slew

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Speaker 1: of other polls, all pointing in the same directions. So

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Speaker 1: let's go to the next one. This is from the

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Speaker 1: Wall Street Journal, and this was a hypothetical matchup between

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Speaker 1: the two very similar results. Here DeSantis beating Trump at

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Speaker 1: fifty two to thirty eight amongst likely GOP primary voters

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Speaker 1: contemplating a race in which the first nominee votes will

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Speaker 1: be cast in just about a year. The reason why

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Speaker 1: I think I take that one a little bit more seriously, Crystal,

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Speaker 1: is the USA Today poll was GOP and GOP leaning voters.

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Speaker 1: GOP leaning doesn't mean anything in a primary. This one

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Speaker 1: is the Wall Street Journal specifically polling likely GOP primary voters.

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Speaker 1: That was another tell to me. Registered voters versus likely

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Speaker 1: likely is almost always far more important and more indicative.

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Speaker 1: But again, we have just gone through multiple cycles now

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Speaker 1: of being off, being completely and totally wrong. The order

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Speaker 1: of the states still matters. As far as I know.

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Speaker 1: RNC is still going up in Iowa and in New Hampshire.

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Speaker 1: Those are two very Trump friendly states, you know DeSantis himself.

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Speaker 1: The Florida primary, I believe is either on Super Tuesday

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Speaker 1: or after Super Tuesday or around there later on in

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Speaker 1: the cycle, so that would be where there'd be a

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Speaker 1: true test. One of the things that got Marco Ruvio

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Speaker 1: to drop out in the twenty sixteen races when Trump

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Speaker 1: actually beat him in his own home state in Florida,

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Speaker 1: and he's like, Okay, well, if you can't win your

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Speaker 1: own home state, yeah, time to go. So we'll see,

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Speaker 1: we'll see interesting. Yeah, I mean absolutely. Just to dig

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Speaker 1: into the numbers a little bit more, Trump's approval rating

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Speaker 1: has fallen off among GOP voters, fall into seventy four percent.

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Speaker 1: In the previous poll, it was eighty five percent. The

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Speaker 1: share that view him actively unfavorably has risen from thirteen

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Speaker 1: percent to twenty three percent. Digging into the Trump versus

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Speaker 1: DeSantis head to head, among those who call themselves very conservative,

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Speaker 1: they still favor Trump over DeSantis fifty four to thirty eight.

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Speaker 1: Those who say they are just somewhat conservative back to

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Speaker 1: Santis over Trump fifty nine to twenty nine. So there's

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Speaker 1: a bit of an ideological divide. There also is an

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Speaker 1: education divide, which continues to be really interesting. Trump beats

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Speaker 1: DeSantis among those with a high school education or less,

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Speaker 1: while DeSantis does better among likely GOP primary voters who

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Speaker 1: are college educated. So you can see there's also a

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Speaker 1: bit of an urban rural divide. There's an education divide,

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Speaker 1: and then there is also an idology divide there. So

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Speaker 1: all really interesting in terms of how the GOP base

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Speaker 1: is sort of sorting itself out. Here. Let's go to

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Speaker 1: the next one here, because as I said it wasn't

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Speaker 1: just one or two. We have now four different ones.

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Speaker 1: So Marquette had DeSantis up by twenty points in a

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Speaker 1: hypothetical two way contests. The Wall Street Journal had him

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Speaker 1: up by fourteen points. The Yugov poll had him up

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Speaker 1: by five points in Quinnipiac plus two. I don't know,

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Speaker 1: maybe average it even then, it's just all over the map.

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Speaker 1: And it's been a year. I mean, we have to

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Speaker 1: look at like, why do you get such different results?

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Speaker 1: That's what I mean. I mean, And then having come

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Speaker 1: off the heels now of an election where the retual

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Speaker 1: Democrats actually did better, maybe you could extrapolate that and say, well,

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Speaker 1: you know, amongst these poles, maybe we should wait Ron

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Speaker 1: DeSantis even more. Because the polls were off in Republican

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Speaker 1: directions in twenty twenty bart sorry in twenty twenty two,

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Speaker 1: but then in twenty eighteen. In twenty twenty two, GOP

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Speaker 1: support is dramatically underrated. Trump support in the polls was

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Speaker 1: always way off. I mean, if we'll remember New Hampshire

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Speaker 1: I believe, which he won like in a blowout. Inand

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Speaker 1: and sixteen, they had it much tighter. Also, I also

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Speaker 1: recall whenever he was winning forty fifty percent of the

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Speaker 1: vote in some of the later primaries that were happening

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Speaker 1: in Wisconsin and Nevada and elsewhere. Trump was back in

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Speaker 1: twenty sixteen, so the Poles actually understated a lot of

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Speaker 1: his support. Some of that had to do with momentum.

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Speaker 1: I mean, look, I think if we've all been through

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Speaker 1: enough cycles here to say, hey, who the hell knows

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Speaker 1: if I'm Ron, though I'm probably feeling better than I

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Speaker 1: was before, do I revise some of my analysis? Honestly, maybe?

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Speaker 1: But I'm just at a point now, crystal ware. Until

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Speaker 1: the votes get cast, I just have no idea until

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Speaker 1: not even the votes get cast, until we see an

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Speaker 1: actual race, till we see them going at each other

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Speaker 1: some kind of debate. Yeah, I feel like you do.

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Speaker 1: I mean, we've seen in a lot of cycles where

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Speaker 1: you'll have a candidate Rick Santorum or New Gingrich or

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Speaker 1: whoever jump to the top of the Poles Michelle Bachman,

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Speaker 1: and then they quickly sort of fade away. Now, I

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Speaker 1: think Desanta's has built a more durable base of support

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Speaker 1: here than those sort of like flavor of the month

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Speaker 1: candidates from the past, because I think he has been

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Speaker 1: whatever you think, and I don't think much of the

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Speaker 1: sort of policy postures he's taken, of the ideological position

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Speaker 1: that he's leaned into, but it has been very clever

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Speaker 1: in terms of appealing to a GOP base. The other

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Speaker 1: thing that comes across in these numbers is it's not

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Speaker 1: just that the people who know DeSantis like him. He's

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Speaker 1: very well known among the Republican base, so he has

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Speaker 1: very high name might and very high favorability. Now, it's

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Speaker 1: one thing when you're sort of in the abstract, when

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Speaker 1: you haven't really been on the national stage, when you

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Speaker 1: certainly haven't been trading direct blows with the former president

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Speaker 1: who does maintain a significant amount of popularity. It's another

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Speaker 1: thing when you are in that head to head contest.

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Speaker 1: But listen, there is no doubt about it. These midterm

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Speaker 1: elections were very damaging to Trump. I mean, they were

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Speaker 1: really damaging to his brand. It was just as clear

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Speaker 1: as it could possibly be that the clos tied candidate

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Speaker 1: was to him, the closer tie to his like, stop

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Speaker 1: the steal insanity, that they were the worst they performed.

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Speaker 1: And then you have the counter example of DeSantis down

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Speaker 1: in Florida just cleaning up, just romping the entire state

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Speaker 1: going in a different direction than the rest of the

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Speaker 1: country that I'm sure is compelling for quite a few

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Speaker 1: Republicans who are interested in actually winning and see that

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Speaker 1: they really are not in a good position to do

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Speaker 1: so at this point with the former president. And also

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Speaker 1: the man has done himself no favors, I mean, lackluster

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Speaker 1: campaign announcement, boring as hell, and has done nothing since

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Speaker 1: then except basically like hang out with Nick Fuentes and

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Speaker 1: Kanye West. So it hasn't been a really stirring and

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Speaker 1: inspiring campaign that he's run this far. He did tease

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Speaker 1: some sort of a big announcement on True Social today,

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Speaker 1: so we'll see what that is, and maybe after the holidays,

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Speaker 1: maybe he comes out with the more with a fuller schedule.

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Speaker 1: But it seems like people are tired of him and

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Speaker 1: he's sort of tied, tired of running and actually being

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Speaker 1: out front in the way that he used to absolutely adore,

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Speaker 1: and DeSantis is trying to outflank him from the right.

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Speaker 1: One of the things I've heard a long time from

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Speaker 1: the DeSantis folks is one of the big attack lines

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Speaker 1: would be, well, DeSantis was anti lockdown before Trump was

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Speaker 1: Trump is the one who ultimately elect doctor Fauci. He

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Speaker 1: let the lockdowns occur under his reign, and DeSantis continues

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Speaker 1: to do that. Let's do this next one up there

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Speaker 1: on the screen, DeSantis is actually currently impaneling a grand

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Speaker 1: jury investigation of the COVID nineteen vaccines, basically pointing a

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Speaker 1: gun at big Pharma to quote, investigate any and all

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Speaker 1: wrongdoing with respect to the COVID nineteen vaccines. The grand

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Speaker 1: jury panel, which was also impaneled with the roundtable with

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Speaker 1: the Florida Surgeon General and a bunch of other panel

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Speaker 1: of scientists and physicians, some of which were skeptical of

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Speaker 1: the way that the vaccines were rolled out and the

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Speaker 1: role of the pharmaceutical companies, said quote, we'll be able

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Speaker 1: to get data on whether they want to give it

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Speaker 1: to us or not. In Florida, it is illegal to

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Speaker 1: mislead and misrepresent, especially when you were talking about the

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Speaker 1: efficacy of a drug. So I mean, actually, could be

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Speaker 1: kind of interesting if we get some of these folks

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Speaker 1: who are under oath and elsewhere in terms of other motive.

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Speaker 1: But I think it's an interesting sign in that they

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Speaker 1: believe this COVID attack will work. I still remain deeply

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Speaker 1: skeptical of it. First of all, like we live in

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Speaker 1: a republic. The reason DeSantis was able to do whatever

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Speaker 1: he wanted in Florida and New York was able to

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Speaker 1: do what they wanted is because the federal government doesn't

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Speaker 1: actually control anything, Like Trump was not the actual arbiter

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Speaker 1: of whether the state was going to be in lockdown

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Speaker 1: or not, you know, for better or worse. All the

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Speaker 1: president can do is like, please do this. Remember when

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Speaker 1: the South Carolina governor wanted to open the state it

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Speaker 1: may and Trump called him out to scream at him,

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Speaker 1: and he did it. Anyway, the president doesn't have that

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Speaker 1: type of power, especially over these like mostly state and

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Speaker 1: local decisions. So that's one. But you know, maybe narratively

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Speaker 1: it could work. But second, look at the votes. Not

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Speaker 1: a single voter put COVID in their top five, not

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Speaker 1: even in the top ten of voting. So I just

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Speaker 1: don't know if that's going to hit. It's possible, it's

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Speaker 1: possible that people could still be salty about it and

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Speaker 1: all that, but I think a lot of people have

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Speaker 1: moved on. So it's I really don't know which way

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Speaker 1: to route. Yeah, I mean, they've been signaling for a

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Speaker 1: long time that this was going to be the critique

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Speaker 1: that they had of Trump. I also am somewhat skeptical

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Speaker 1: about the resonance at this point, not only because listen,

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Speaker 1: everybody's kind of moved on and it just doesn't hit

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Speaker 1: in the way that it used to, but also, you know,

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Speaker 1: Trump kind of has him dead to rights on when

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Speaker 1: Dysantas wouldn't admit whether or not he got a booster

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Speaker 1: and things like that, like putting him on the spot

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Speaker 1: ye over, you know, he ends up looking very sort

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Speaker 1: of slimy, very disingenuous. It ends up being very clear like, oh,

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Speaker 1: you're posturing because you think this is the right political

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Speaker 1: move to ultimately make. It was interesting to me to

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Speaker 1: read the back and forth in this NBC News article

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Speaker 1: from people in Trump's orbit who would talk to them,

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Speaker 1: and then you know the Dysantis view, But you had

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Speaker 1: Roger Stone who told them prior to this, Desanta's position

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Speaker 1: was identical to Trump's, and he advocated the efficacy and

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Speaker 1: safety of vaccines. That's his rec You have someone else saying,

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Speaker 1: this is a shot across the bow. We know exactly

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Speaker 1: what Ron is up to. We had another one who

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Speaker 1: said the fact is we've seen this coming for a

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Speaker 1: year ever since Ron started to get anti VAXX. Yes,

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Speaker 1: there's a portion of our base that is anti vax

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Speaker 1: and some people could walk away from Trump over it.

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Speaker 1: That's why Ron is doing it. It's so transparent. The

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Speaker 1: official Stephen Chong, who's an official spokesperson for Trump Senter

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Speaker 1: written statement that quote. After China unleash this deadly virus

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Speaker 1: under the rest of the world, President Trump's administration worked

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Speaker 1: tirelessly to secure medical equipment to save the lives of

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Speaker 1: Americans who were infected. Operation Warp Speed was a once

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Speaker 1: in a lifetime initiative that gave people the option of

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Speaker 1: utilizing therapeutics if they wished to do so. He also

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Speaker 1: fought against any attempt, as you were saying, Sager, to

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Speaker 1: federalize the pandemic response by protecting every states. Right, So

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Speaker 1: that is their line, that's the way they're playing it.

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Speaker 1: Is like number one, this dude was saying the same

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Speaker 1: stuff as we were until he decided there was a

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Speaker 1: political move he could make here. And number two. Trump

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Speaker 1: is apparently very and I think I think justifiably so

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Speaker 1: proud about Operation Warp Speed. He sees it as a

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Speaker 1: significant accomplished accomplishment of his administration, and so he sort

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Speaker 1: of has stubbornly refused, even when he's been booed at

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Speaker 1: times by conservative audiences, to let go of that or

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Speaker 1: to let anyone ultimately diminish that. So maybe it does

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Speaker 1: a point of vulnerability. Maybe it is an area where

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Speaker 1: he's out of step with the base. Is it the

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Speaker 1: sort of driving controlling issue the way that say, like

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Speaker 1: the Iraq war vote was ultimately for Hillary against Obama?

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Speaker 1: I'm not sure. And it's also the record is a

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Speaker 1: lot more mixed and a lot less clear cut than

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Speaker 1: on something like did you vote for the war or

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Speaker 1: did you not vote for the war? Very well said.

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Speaker 1: And finally though, and this is real a point against Trump,

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Speaker 1: and this actually to me might be the most salient one.

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Speaker 1: Put this up there on the screen. Every poll out

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Speaker 1: there shows us that Americans have little appetite for a

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Speaker 1: Biden Trump rematch in twenty twenty four. It is possible

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Speaker 1: that the GOP and maybe the BIT maybe I say

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Speaker 1: this with extreme skepticism, has reached a point of exhaustion

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Speaker 1: with Trump, and given the electoral consensus where there was

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Speaker 1: a major pushback against Stop the Steel and Trump Maga

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Speaker 1: style candidates that they could have just said, well, maybe

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Speaker 1: I'm done with them again. I just remained skeptical. Many

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Speaker 1: of the people and others that I've seen back Trump,

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Speaker 1: some of the things that they love the most about

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Speaker 1: him are part of the reason the broader electorate has

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Speaker 1: objected to him. They like the trolling, they like the tweets,

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Speaker 1: they like you know, everyone's like Trump justsances Trump without

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Speaker 1: the X. I mean, in my experience, like the X

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Speaker 1: is the only thing that they really love the most

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Speaker 1: about Trump. I don't even get it. Damn about the

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Speaker 1: policy either way. Yeah, anytime you meet a really dry

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Speaker 1: hard Trumper, they will twist themselves into knots about why,

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Speaker 1: Like when he did something that was bad, it wasn't

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Speaker 1: his fault, it was John Kelly or something like this.

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Speaker 1: Any this is why blue Maga is like that too.

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Speaker 1: You know, like blue Maga they do the same thing.

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Speaker 1: Oh it's not on a Biden, that's you know, the

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Speaker 1: people behind him force his hand. It's like these people

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Speaker 1: they have agency. He was the most powerful man in

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Speaker 1: the whole world. He ultimately was the one who decided.

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Speaker 1: So maybe that comes to my thinking. I have yet

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Speaker 1: to see any real evidence of that, yeah. See, And

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Speaker 1: the other part of that poll about the Trump versus

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Speaker 1: Biden rematch is like, ultimately though, they're like, yeah, if

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Speaker 1: he's a nominie, of course I'm going to vote for him.

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Speaker 1: And then Democrats too. I mean, actually, there's a large

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Speaker 1: majority of Democrats who want to move on from Joe

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Speaker 1: Biden continue to want to move on from Joe Biden

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Speaker 1: even after you know, a better than expected midterm result. Really,

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Speaker 1: I mean it's sort of a low bar, but really

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Speaker 1: a sort of historic result in terms of modern midterm

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Speaker 1: outcomes for the party in power. But people are still like,

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Speaker 1: you know, the thing with Biden is, I think is

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Speaker 1: a less I would like it to be an ideological

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Speaker 1: critique of him. It is more of a like style

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Speaker 1: critique of this guy just seems really old and I'm

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Speaker 1: just not sure that he's up to this job anymore.

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Speaker 1: Maybe we should get some new blood in here. Seems

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Speaker 1: reasonable in my opinion, It does seem reasonable. Yeah, I agree,

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Speaker 1: all right, So let's get to this little bit of

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Speaker 1: a financial mystery that is quite interesting. Crazy crazy has

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Speaker 1: huge implications, and that, by the way, the White House

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Speaker 1: is totally downplaying. So we had let's gone and put

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Speaker 1: this up on the screen. The consumer Price index data

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Speaker 1: came out, okay, was released at eight thirty. At eight

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Speaker 1: twenty nine, one minute before that data ultimately dropped, there

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Speaker 1: were huge market moves. So you can see that on

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Speaker 1: this chart, the giant spike there that you see in

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Speaker 1: the markets going way up. That spike happens between eight

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Speaker 1: twenty nine and eight thirty. So again, that inflation data,

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Speaker 1: which showed sort of lower than expected inflation, which was

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Speaker 1: you know, people took us a really good sign, took

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Speaker 1: as a sign of the Kay, the Fed is not

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Speaker 1: going to continue to hike rates. This is going to

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Speaker 1: be good for us. That data drops at eight thirty,

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Speaker 1: and the market is already moved most of what it's

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Speaker 1: going to do at eight twenty nine. Okay. The White House,

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Speaker 1: they say, brushed off those concerns over a leak of

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Speaker 1: this information, calling it minor market movements, but stock and

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Speaker 1: chargery futures made major moves. So basically the allegation is

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Speaker 1: these people knew what was coming. Somehow they got tipped

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Speaker 1: off to this information that should not have been public

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Speaker 1: to everybody until eight thirty. Because of course, if you

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Speaker 1: get a jump on that data, well you're in a

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Speaker 1: position to cheat. You're in a position to have forward

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Speaker 1: knowledge that is not supposed to be public and be

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Speaker 1: able to benefit from that in advance. So how do

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Speaker 1: you explain the fact that there were thousands of moves

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Speaker 1: made before this data officially releases. Let's put the next

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Speaker 1: piece up on the screen. This is from Blueberg. This

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Speaker 1: is about you know, the White House is dismissing these moves,

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Speaker 1: but just to give you a sense of how significant

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Speaker 1: this market movement was that they're downplaying as being minor.

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Speaker 1: Stock futures suddenly spiked more than one percent trading, and

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Speaker 1: treasury futures surged, pushing benchmark yields lowered by box four

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Speaker 1: basis points. Those are major moves in such a short

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Speaker 1: period of time, bigger than full session swings on plenty

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Speaker 1: of days. People are saying regulators really need to look

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Speaker 1: into this. To give you a few more specifics, year,

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Speaker 1: over that sixty second span between eight twenty nine and

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Speaker 1: eight thirty over thirteen thousand March ten year futures traded

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Speaker 1: hands during a period when activity is usually non existent.

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Speaker 1: So thirteen thousand futures traded hands when normally that number

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Speaker 1: would have been pretty close to zero. So listen, people

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Speaker 1: got somehow they got word of this beforehand. That is

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Speaker 1: certainly what it looks like. They asked the agency that

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Speaker 1: puts out this information, and what they said, Sager is like, listen,

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Speaker 1: to our knowledge, there was no leak, but by law

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Speaker 1: or by regulation, we have to distribute this info to

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Speaker 1: a variety of government officials. So the idea is somebody

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Speaker 1: is getting paid to give out this information early, and

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Speaker 1: or you know, they're having somebody buy for them ahead

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Speaker 1: of time so that they're able to get a jump

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Speaker 1: on the information too. But somehow the word got out.

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Speaker 1: There is just no other explanation for this. What bothers

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Speaker 1: me is actually the lack of media scrutiny on this.

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Speaker 1: So I actually recall a really crazy example was when

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Speaker 1: Trump was president, So the president, by law, actually gets

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Speaker 1: the BLS numbers early, and he tweeted something where he

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Speaker 1: was like big news coming tomorrow, very good, which traders

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Speaker 1: could have assumed was the BLS data. Yeah, and they

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Speaker 1: were trading based upon that information. A lot of people

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Speaker 1: freaked out because they were like, well, oh my gosh,

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Speaker 1: like Trump is violating the Saker saying principle that we

430
00:21:41,600 --> 00:21:45,800
Speaker 1: should keep these numbers secret up until the day of Well, look,

431
00:21:46,160 --> 00:21:47,960
Speaker 1: there's only a couple of people who get this info.

432
00:21:48,160 --> 00:21:51,480
Speaker 1: The White Outchet of Staff, the President, Secretary of the Treasury,

433
00:21:51,840 --> 00:21:55,480
Speaker 1: the Labor Secretary, and then presumably whoever the guy is

434
00:21:55,520 --> 00:21:58,200
Speaker 1: who brings the folder over to the White House. One

435
00:21:58,240 --> 00:22:02,439
Speaker 1: of them talked, it's thirteen thousand futures one percent rally.

436
00:22:02,800 --> 00:22:06,520
Speaker 1: It doesn't happen. You think they're gambled multi billion dollars

437
00:22:06,680 --> 00:22:09,720
Speaker 1: based upon nothing. They're not that stupid. They know what

438
00:22:09,760 --> 00:22:12,000
Speaker 1: they're doing whenever they want to make a shitload of money.

439
00:22:12,080 --> 00:22:14,960
Speaker 1: And so I'll look at this. It is so clear

440
00:22:15,200 --> 00:22:17,119
Speaker 1: that there was some leak, and I think it's insane

441
00:22:17,160 --> 00:22:20,200
Speaker 1: of the White House is not attacking this because maybe

442
00:22:20,200 --> 00:22:22,679
Speaker 1: it wasn't Biden, but maybe it was. Maybe he was

443
00:22:22,720 --> 00:22:25,280
Speaker 1: on the phone to an advisor and he was like, hey,

444
00:22:25,320 --> 00:22:28,080
Speaker 1: you know, we got great news tomorrow. To a friend,

445
00:22:28,440 --> 00:22:31,480
Speaker 1: to family member, someone just saying, you know, we got

446
00:22:31,480 --> 00:22:34,800
Speaker 1: great news coming out now. I'm so excited. You know,

447
00:22:34,960 --> 00:22:37,520
Speaker 1: CPI is going to show X. That person calls a broker,

448
00:22:37,720 --> 00:22:39,879
Speaker 1: broker calls someone. Next thing, you know, the word is

449
00:22:39,880 --> 00:22:42,480
Speaker 1: out on Wall Street. That's a federal crime. That's inside

450
00:22:42,480 --> 00:22:44,679
Speaker 1: of trading, like you have to go to jail. And

451
00:22:44,760 --> 00:22:47,000
Speaker 1: I'm not even saying that there was necessarily a nefarious intent.

452
00:22:47,119 --> 00:22:49,879
Speaker 1: Somebody overhears something here, somebody over hears something there, you

453
00:22:49,920 --> 00:22:52,359
Speaker 1: call somebody because you're privy to something that's a major

454
00:22:52,480 --> 00:22:56,040
Speaker 1: violation of the chain of custody on sacred information like this,

455
00:22:56,080 --> 00:22:58,479
Speaker 1: which trillions of dollars in market value can be one

456
00:22:58,560 --> 00:23:00,520
Speaker 1: or loss based upon it. But it all so and

457
00:23:00,600 --> 00:23:02,800
Speaker 1: again we're not saying this was this was just pure

458
00:23:02,800 --> 00:23:05,040
Speaker 1: iic regulation, but you don't know who it is. But

459
00:23:05,680 --> 00:23:08,720
Speaker 1: they're also it also very well could have been nefarious though,

460
00:23:08,760 --> 00:23:11,640
Speaker 1: because sure there's huge amounts of money at stake here,

461
00:23:12,040 --> 00:23:14,199
Speaker 1: and so if you're someone who's sitting there on a

462
00:23:14,240 --> 00:23:16,520
Speaker 1: government salary, and a lot of these people feel like

463
00:23:16,640 --> 00:23:20,200
Speaker 1: they should be, you know, as rich as the Wall

464
00:23:20,240 --> 00:23:22,960
Speaker 1: Street ghoules that they're hanging out with. This is you know,

465
00:23:23,000 --> 00:23:24,720
Speaker 1: an opportunity past to get a little bit of a

466
00:23:24,760 --> 00:23:27,280
Speaker 1: tip out there and be able to cash in to

467
00:23:27,760 --> 00:23:31,320
Speaker 1: better yourself. As Dan Crunshaw might say, you know that

468
00:23:31,480 --> 00:23:34,240
Speaker 1: is real possibility too. But you have to get to

469
00:23:34,240 --> 00:23:37,000
Speaker 1: the bottom of this, because this is as clear as

470
00:23:37,119 --> 00:23:40,199
Speaker 1: day and it wasn't just like, you know, if the

471
00:23:40,240 --> 00:23:43,280
Speaker 1: word gets out to one person, then it's going to

472
00:23:43,320 --> 00:23:47,160
Speaker 1: be hard to see huge market movement. But when you had,

473
00:23:47,760 --> 00:23:50,399
Speaker 1: I mean, the bulk of the movement on this news

474
00:23:50,800 --> 00:23:55,399
Speaker 1: happened before the news even came out, So it wasn't

475
00:23:55,520 --> 00:23:58,639
Speaker 1: just oh, one or two people got word. This information

476
00:23:58,760 --> 00:24:02,760
Speaker 1: was apparently widespread. That's really the only explanation for what

477
00:24:02,920 --> 00:24:06,240
Speaker 1: happened here, and the lack of curiosity from the White House,

478
00:24:06,280 --> 00:24:08,840
Speaker 1: the lack of a desire to get to the bottom of,

479
00:24:09,000 --> 00:24:11,720
Speaker 1: you know, how this happened and how people were able

480
00:24:11,800 --> 00:24:13,719
Speaker 1: to get a jump on this data coming out at

481
00:24:13,800 --> 00:24:17,320
Speaker 1: eight thirty is really stunning and really really bad. As well.

482
00:24:17,920 --> 00:24:20,679
Speaker 1: We have some other financial news from yesterday, which is

483
00:24:21,040 --> 00:24:23,359
Speaker 1: the Fed, which has been on a course of extremely

484
00:24:23,400 --> 00:24:26,639
Speaker 1: aggressive rate hiking of seventy five basis points. They have

485
00:24:26,720 --> 00:24:30,359
Speaker 1: now scaled back slightly to a still aggressive but somewhat

486
00:24:30,440 --> 00:24:34,880
Speaker 1: less aggressive hike of fifty basis points. That is part

487
00:24:34,920 --> 00:24:37,399
Speaker 1: of why the markets, you know, responded in such a

488
00:24:37,480 --> 00:24:40,720
Speaker 1: large way, because once they saw those inflation numbers, they

489
00:24:40,800 --> 00:24:42,800
Speaker 1: felt more confident than Okay, the Fed is going to

490
00:24:43,000 --> 00:24:45,240
Speaker 1: sort of dial back what they've ultimately been doing. Let's

491
00:24:45,240 --> 00:24:47,560
Speaker 1: go ahead and put this up on the screen. Federal

492
00:24:47,600 --> 00:24:50,080
Speaker 1: Reserve is about to hike rates one last time this year.

493
00:24:50,119 --> 00:24:51,560
Speaker 1: How it may affect you, And now we do have

494
00:24:51,600 --> 00:24:53,840
Speaker 1: the official news that it is fifty basis points. This

495
00:24:53,960 --> 00:24:55,720
Speaker 1: is and I also saw a Bank of England this

496
00:24:55,800 --> 00:24:58,040
Speaker 1: morning made a similar move. There are other European central

497
00:24:58,080 --> 00:25:00,919
Speaker 1: banks that made a similar movem they're all sort of

498
00:25:00,920 --> 00:25:04,159
Speaker 1: following suit in the same direction. This is important for

499
00:25:04,160 --> 00:25:06,359
Speaker 1: a variety of reasons. Obviously, we've had a lot of

500
00:25:06,359 --> 00:25:08,720
Speaker 1: concern here about what the Fed is doing and how

501
00:25:08,720 --> 00:25:13,040
Speaker 1: it may ultimately ultimately impact your wages, your job, your

502
00:25:13,080 --> 00:25:15,400
Speaker 1: ability to buy a house, all of those things that

503
00:25:15,480 --> 00:25:18,440
Speaker 1: you know enable you to live and live decently and

504
00:25:18,520 --> 00:25:20,720
Speaker 1: not be so stretched thin at the end of the month.

505
00:25:21,280 --> 00:25:23,040
Speaker 1: Let's go and put the next piece up on the screen.

506
00:25:23,119 --> 00:25:26,120
Speaker 1: This is the substance of what was in those inflation numbers.

507
00:25:26,400 --> 00:25:30,120
Speaker 1: They did slow, more sharply than expected in November. Their

508
00:25:30,240 --> 00:25:32,239
Speaker 1: description here for The New York Times. This is an

509
00:25:32,320 --> 00:25:34,960
Speaker 1: encouraging sign for both Federal Reserve officials and consumers that

510
00:25:35,040 --> 00:25:38,080
Speaker 1: eighteen months of rapid and unrelenting price increases are beginning

511
00:25:38,240 --> 00:25:41,080
Speaker 1: to meaningfully a bait. So we had a seven one

512
00:25:41,200 --> 00:25:44,560
Speaker 1: point one percent inflation, which you know, I do have

513
00:25:44,640 --> 00:25:48,680
Speaker 1: to say seven percent inflation, it's still a lot. I mean,

514
00:25:48,760 --> 00:25:51,000
Speaker 1: let's just I don't want to sugarcoat it. Things are

515
00:25:51,000 --> 00:25:54,000
Speaker 1: headed in a better direction and that is important, but

516
00:25:54,160 --> 00:25:57,520
Speaker 1: people are not getting wage raises, like, they're not getting

517
00:25:57,640 --> 00:26:01,320
Speaker 1: raises to compensate for this amount of so it continues

518
00:26:01,359 --> 00:26:03,720
Speaker 1: to be very difficult for people. Yeah, I hate whenever

519
00:26:03,760 --> 00:26:06,080
Speaker 1: people are like, great news, it's still only inflation. It's seven,

520
00:26:06,440 --> 00:26:08,359
Speaker 1: you know, seven is still really hot. Anyone else to

521
00:26:08,400 --> 00:26:10,680
Speaker 1: the grocery store and killing still can't imagine, like why

522
00:26:10,720 --> 00:26:12,720
Speaker 1: stuff costs as much as it should. So, I mean,

523
00:26:12,920 --> 00:26:14,800
Speaker 1: I'm pretty sure that's not just going to go away.

524
00:26:15,040 --> 00:26:16,800
Speaker 1: One of the things that we really learned from the election,

525
00:26:16,800 --> 00:26:19,080
Speaker 1: which I think is very heartening, is that people were like, well,

526
00:26:19,080 --> 00:26:20,880
Speaker 1: this really sucks, but I need to go and vote

527
00:26:20,920 --> 00:26:23,280
Speaker 1: for somebody who's going to do something about it. Necessarily,

528
00:26:23,320 --> 00:26:25,359
Speaker 1: they're not just going to blame the president or whomever

529
00:26:25,680 --> 00:26:28,840
Speaker 1: just for being in office and presiding over a really

530
00:26:28,840 --> 00:26:32,160
Speaker 1: bad economy. They want to hear real stuff that was interesting,

531
00:26:32,200 --> 00:26:34,399
Speaker 1: But we should still can't take away the pain, like

532
00:26:34,440 --> 00:26:36,680
Speaker 1: there's a lot of pain that remains out there. I

533
00:26:36,720 --> 00:26:39,040
Speaker 1: actually just saw yesterday the savings rate as an all

534
00:26:39,080 --> 00:26:42,680
Speaker 1: time low. Advertising is taking a massive hit, also indicating

535
00:26:42,680 --> 00:26:44,760
Speaker 1: that retail sales are not catching up with where they

536
00:26:44,760 --> 00:26:47,359
Speaker 1: traditionally should be. A huge amount of retail sales happen

537
00:26:47,480 --> 00:26:50,320
Speaker 1: right now because of Thanksgiving and Christmas during the holiday season,

538
00:26:50,640 --> 00:26:54,000
Speaker 1: massive amounts of profits not going to their direction where

539
00:26:54,000 --> 00:26:56,719
Speaker 1: they should be in a traditional boom year. So you

540
00:26:56,720 --> 00:26:59,680
Speaker 1: can just see that. Yeah, Okay, Unemployment, you know, it's

541
00:26:59,680 --> 00:27:04,160
Speaker 1: not great, not bad, I mean, but inflation eating away

542
00:27:04,160 --> 00:27:06,560
Speaker 1: at wages and earnings and housing, like, it's one of

543
00:27:06,560 --> 00:27:09,600
Speaker 1: the most wonky and in my opinion, like structurally biased

544
00:27:09,600 --> 00:27:12,800
Speaker 1: economies against I won't even say working class people. I'm

545
00:27:12,800 --> 00:27:14,800
Speaker 1: gonna say like all the way up to straight middle class,

546
00:27:15,040 --> 00:27:17,239
Speaker 1: like the middle class and onward, Like you're good as

547
00:27:17,240 --> 00:27:19,159
Speaker 1: long as you make over one hundred grand, but the

548
00:27:19,240 --> 00:27:21,200
Speaker 1: vast majority of the public, let's say sixty five percent

549
00:27:21,320 --> 00:27:23,680
Speaker 1: or other, Like, basically economy is rigged against you right now.

550
00:27:23,840 --> 00:27:26,600
Speaker 1: I totally agree with that. Yeah, And I mean, something

551
00:27:26,640 --> 00:27:29,119
Speaker 1: we have really tried to focus on is the housing market.

552
00:27:29,440 --> 00:27:34,080
Speaker 1: Housing has never been less affordable and the FED really

553
00:27:34,200 --> 00:27:37,120
Speaker 1: unable to deal with the core issues that have led

554
00:27:37,119 --> 00:27:39,000
Speaker 1: to this inflation to start with, which is I think

555
00:27:39,040 --> 00:27:41,680
Speaker 1: why it's been so sticky and so hard to deal

556
00:27:41,720 --> 00:27:44,720
Speaker 1: with because we aren't actually using any of the policy

557
00:27:44,760 --> 00:27:48,560
Speaker 1: tools that would require legislative or executive action in order

558
00:27:48,600 --> 00:27:51,480
Speaker 1: to deal with those issues. So anyway, that's the picture

559
00:27:51,480 --> 00:27:53,679
Speaker 1: as best we know it right now. You've got, you know,

560
00:27:53,760 --> 00:27:57,560
Speaker 1: some good old fashioned Wall Street rigging and government collusion

561
00:27:57,640 --> 00:28:01,000
Speaker 1: and corruption that the White House is apparently content to

562
00:28:01,080 --> 00:28:04,720
Speaker 1: basically overlook, and you have the FED continuing their march

563
00:28:04,880 --> 00:28:09,200
Speaker 1: towards higher rates and potentially destroying your livelihood. That's where

564
00:28:09,200 --> 00:28:16,000
Speaker 1: we are. This is such a fascinating story that we

565
00:28:16,040 --> 00:28:19,280
Speaker 1: thought paired really well with the CPI, so we did

566
00:28:19,280 --> 00:28:22,159
Speaker 1: that recent segment with coffee Zilla. He's been exposing a

567
00:28:22,160 --> 00:28:25,159
Speaker 1: lot of scammers, and it seems the SEC is really

568
00:28:25,240 --> 00:28:27,440
Speaker 1: waking up to some of the pump and dub schemes

569
00:28:27,600 --> 00:28:31,639
Speaker 1: that are happening online. So this face focuses eight different

570
00:28:31,680 --> 00:28:35,320
Speaker 1: social media influencers now been charged with the SEC for

571
00:28:35,560 --> 00:28:39,959
Speaker 1: manipulating and banking almost one hundred million dollars. Let's put

572
00:28:40,000 --> 00:28:42,480
Speaker 1: this up there on the screen. Eight of the social

573
00:28:42,480 --> 00:28:46,000
Speaker 1: media influencers from across the country Texas, California, and New Jersey,

574
00:28:46,040 --> 00:28:49,760
Speaker 1: Florida were charged with a pump and dub scheme in

575
00:28:49,800 --> 00:28:54,040
Speaker 1: which they quote cultivated hundreds of thousands of followers on Twitter,

576
00:28:54,320 --> 00:28:57,920
Speaker 1: in stock trading chat rooms on Discord. Seven defendants purchased

577
00:28:57,920 --> 00:29:00,880
Speaker 1: certain stocks and then encourage their substantial soli media followings

578
00:29:01,000 --> 00:29:04,040
Speaker 1: to buy those stocks by posting price targets or indicating

579
00:29:04,040 --> 00:29:06,960
Speaker 1: they were buying, holding, or adding to their positions. However,

580
00:29:07,200 --> 00:29:10,040
Speaker 1: when share prices and or trading volumes rose in the

581
00:29:10,040 --> 00:29:14,600
Speaker 1: promoted securities, the individuals regularly sold their shares without ever

582
00:29:14,720 --> 00:29:18,560
Speaker 1: having disclosed their plans to pump securities while they were

583
00:29:18,600 --> 00:29:22,480
Speaker 1: promoting them and the defendancy's social media to a masses following,

584
00:29:22,680 --> 00:29:27,760
Speaker 1: and resulted in fraudulent profits of approximately one hundred million.

585
00:29:28,480 --> 00:29:30,760
Speaker 1: Just to give you an idea of exactly what some

586
00:29:30,800 --> 00:29:33,640
Speaker 1: of the tweets that some of these gentlemen were engaged with,

587
00:29:33,800 --> 00:29:36,280
Speaker 1: our producers went ahead and pulled my personal favorite, let's

588
00:29:36,280 --> 00:29:39,800
Speaker 1: plit this up there on the screen, mister Zach Morris quote,

589
00:29:39,960 --> 00:29:44,480
Speaker 1: I love pumping. Okay, could go a lot in there, Yep,

590
00:29:45,080 --> 00:29:48,120
Speaker 1: A little bit of ambiguity not though, whenever you pair

591
00:29:48,200 --> 00:29:51,960
Speaker 1: it with the SEC complaint. Also, our producers did a

592
00:29:52,000 --> 00:29:54,760
Speaker 1: phenomenal job and pulled these text messages which are just

593
00:29:54,920 --> 00:29:58,240
Speaker 1: so hilarious that you give you an example of how

594
00:29:58,880 --> 00:30:01,440
Speaker 1: brazen that these guys. Let's put this up there so

595
00:30:02,120 --> 00:30:05,120
Speaker 1: they literally go and say, if you didn't bank with

596
00:30:05,200 --> 00:30:08,200
Speaker 1: the gang today, IDK, what's wrong? I gave this alert

597
00:30:08,240 --> 00:30:11,880
Speaker 1: on Twitter. Hope everyone banked on this one. Did exactly

598
00:30:11,880 --> 00:30:14,760
Speaker 1: what I said, and then knew high of the day.

599
00:30:14,800 --> 00:30:17,440
Speaker 1: I didn't want to just keep talking about it. All right, goblins,

600
00:30:17,480 --> 00:30:20,480
Speaker 1: I'm out for the day. Everyone should have banked with

601
00:30:20,600 --> 00:30:23,160
Speaker 1: me on this initial call. Love you guys, I'll see

602
00:30:23,200 --> 00:30:25,480
Speaker 1: you all tomorrow to make stupid money with all of

603
00:30:25,520 --> 00:30:29,320
Speaker 1: you again. Next, I'll never get sick of pumping quote

604
00:30:29,400 --> 00:30:32,880
Speaker 1: quote dot dot dot money into my followers bank accounts.

605
00:30:32,960 --> 00:30:36,320
Speaker 1: Let's all get rich. Next, every member of admin have

606
00:30:36,400 --> 00:30:38,200
Speaker 1: the same goal, get as many people away from the

607
00:30:38,280 --> 00:30:41,160
Speaker 1: nine to five slavery into the area of financial freedom

608
00:30:41,200 --> 00:30:43,800
Speaker 1: and fu money. Our gains are seeing stories of our

609
00:30:43,840 --> 00:30:47,880
Speaker 1: others paying off debt and banking is much more rewarding. Next,

610
00:30:48,040 --> 00:30:50,680
Speaker 1: congrats to all the longs that banked with me on

611
00:30:50,720 --> 00:30:52,400
Speaker 1: this one. I know, I called it right as the

612
00:30:52,440 --> 00:30:54,600
Speaker 1: market opened. If you caught this one, you should be

613
00:30:54,600 --> 00:30:57,080
Speaker 1: thanking me now. And then the final next week, I'm

614
00:30:57,120 --> 00:30:58,720
Speaker 1: going to have a nice one for us, I promise

615
00:30:58,760 --> 00:31:02,000
Speaker 1: I might even say something along the lines of get

616
00:31:02,120 --> 00:31:05,640
Speaker 1: a P word, We're going to google the moon. Wow.

617
00:31:06,280 --> 00:31:09,720
Speaker 1: Just it really is like stunning and how brave like

618
00:31:09,880 --> 00:31:14,760
Speaker 1: you personally, I really can't imagine. I can't imagine buying

619
00:31:15,000 --> 00:31:17,600
Speaker 1: or selling stock based on the word of such morons

620
00:31:17,640 --> 00:31:20,960
Speaker 1: like these guys like you hate imagine. I'm sorry, I

621
00:31:20,960 --> 00:31:23,800
Speaker 1: don't drop f bombs on this show, but this is disgusting. Yeah,

622
00:31:23,800 --> 00:31:25,960
Speaker 1: it is terrist. I mean they, I mean they literally

623
00:31:26,000 --> 00:31:29,160
Speaker 1: banked over one hundred million dollars while doing pumpin' up schemes,

624
00:31:29,320 --> 00:31:32,240
Speaker 1: including penny stocks. The SEC is suing them for all

625
00:31:32,280 --> 00:31:34,720
Speaker 1: of their ill gotten gains and seeking a ban on

626
00:31:35,080 --> 00:31:38,600
Speaker 1: securities trading for all of them. But it's really gross

627
00:31:38,640 --> 00:31:40,720
Speaker 1: and one of the reasons why I like this enforcement

628
00:31:40,760 --> 00:31:43,720
Speaker 1: action is, like with FTX, a lot of this is

629
00:31:43,720 --> 00:31:46,160
Speaker 1: happening online, not just in the realm of crypto, with

630
00:31:46,200 --> 00:31:49,800
Speaker 1: these influencers and others, and there are young dudes, mostly

631
00:31:49,880 --> 00:31:52,320
Speaker 1: dudes out there well documented at this point. Who look

632
00:31:52,360 --> 00:31:55,000
Speaker 1: at this and look exactly at the manipulative language they use.

633
00:31:55,200 --> 00:31:58,120
Speaker 1: Get rich, escape the grind, escape the nine to five,

634
00:31:58,360 --> 00:32:01,680
Speaker 1: pay off your debt. Yeah, it's like that's really bad.

635
00:32:01,920 --> 00:32:03,760
Speaker 1: You know, like we're going to appeal to the macho

636
00:32:03,920 --> 00:32:07,280
Speaker 1: ego and like, you know, don't be emasculated if you

637
00:32:07,320 --> 00:32:09,640
Speaker 1: want to get in, like get in. And I mean,

638
00:32:09,680 --> 00:32:11,960
Speaker 1: this is the thing that makes me so disgusted with

639
00:32:12,000 --> 00:32:15,120
Speaker 1: these people. First of all, there's nothing new about this.

640
00:32:15,160 --> 00:32:18,360
Speaker 1: It's a classic pumpered dump scheme. It's just using social

641
00:32:18,400 --> 00:32:21,360
Speaker 1: media and it means that you have a wider reach

642
00:32:21,480 --> 00:32:24,400
Speaker 1: so you can pray on people who are particularly vulnerable.

643
00:32:24,640 --> 00:32:27,400
Speaker 1: I mean, you know, we got asked this question actually

644
00:32:27,400 --> 00:32:29,440
Speaker 1: that we answered at one of our live shows about

645
00:32:29,520 --> 00:32:32,720
Speaker 1: why it seems like it's mostly dudes who are in crypto,

646
00:32:33,280 --> 00:32:35,640
Speaker 1: And the best answer I can come up with is,

647
00:32:35,760 --> 00:32:39,520
Speaker 1: as a society generally, what we put out to men

648
00:32:39,880 --> 00:32:42,000
Speaker 1: is to be a real man, you have to be

649
00:32:42,080 --> 00:32:46,000
Speaker 1: able to provide. And then we have systematically undercut the

650
00:32:46,120 --> 00:32:49,320
Speaker 1: ability for men and women too, but for men in

651
00:32:49,320 --> 00:32:52,040
Speaker 1: this particular instance, because this is like the societal core

652
00:32:52,160 --> 00:32:54,960
Speaker 1: value to be able to provide to be able to

653
00:32:54,960 --> 00:32:57,000
Speaker 1: provide for a family, to be able to get that house,

654
00:32:57,040 --> 00:32:58,920
Speaker 1: to be able to get that life that you're supposed

655
00:32:58,960 --> 00:33:02,000
Speaker 1: to be able to achieve. And then you also have

656
00:33:02,160 --> 00:33:05,440
Speaker 1: layered on top of that a complete lack of trust

657
00:33:05,480 --> 00:33:09,680
Speaker 1: in the established financial system, understandably so, especially after the

658
00:33:09,680 --> 00:33:12,760
Speaker 1: financial crash, and it's made a lot of people vulnerable

659
00:33:12,800 --> 00:33:16,200
Speaker 1: to like, Hey, I have this secret, special knowledge, and

660
00:33:16,240 --> 00:33:18,400
Speaker 1: if you just do what we do, you're going to

661
00:33:18,480 --> 00:33:20,640
Speaker 1: be on the right side of things. You're going to

662
00:33:20,680 --> 00:33:23,240
Speaker 1: be able to make this cash. You're stupid, you're a

663
00:33:23,280 --> 00:33:26,720
Speaker 1: pussy if you don't do it, And unfortunately, obviously a

664
00:33:26,760 --> 00:33:29,920
Speaker 1: lot of people are vulnerable to it and fall for it.

665
00:33:29,920 --> 00:33:32,880
Speaker 1: It's the same thing with these freaking celebrity influencers Kim

666
00:33:32,920 --> 00:33:35,800
Speaker 1: Kardashian and Matt Damon and all these other people who

667
00:33:35,800 --> 00:33:38,720
Speaker 1: were pushing their pet crypto schemes that they were getting

668
00:33:38,760 --> 00:33:42,640
Speaker 1: paid cash for. They didn't care what happened. But people,

669
00:33:42,680 --> 00:33:45,280
Speaker 1: for whatever reason and like trust and believe in these people,

670
00:33:45,320 --> 00:33:47,320
Speaker 1: and so they're like, oh, if Kim Kardashian says it,

671
00:33:47,360 --> 00:33:49,640
Speaker 1: then I guess I'm going to go by it. Sounds ridiculous,

672
00:33:49,640 --> 00:33:53,560
Speaker 1: but people really literally did that. It's so disgusting. So

673
00:33:53,640 --> 00:33:57,440
Speaker 1: they would push this to their followers, say is guaranteed money. Basically,

674
00:33:57,520 --> 00:33:59,280
Speaker 1: you're stupid if you don't do it, and then the

675
00:33:59,320 --> 00:34:02,080
Speaker 1: minute that the stuff price goes out up, they're out.

676
00:34:02,320 --> 00:34:05,160
Speaker 1: They didn't tell their followers that they had jumped ship,

677
00:34:05,280 --> 00:34:07,720
Speaker 1: that they were out of the position, and you know,

678
00:34:08,000 --> 00:34:10,840
Speaker 1: continue the whole fraud up until now. So kuda's to

679
00:34:10,840 --> 00:34:14,880
Speaker 1: the sec for going after these guys, because it is

680
00:34:15,080 --> 00:34:18,520
Speaker 1: just so disgusting to manipulate and take advantage of people

681
00:34:18,560 --> 00:34:20,560
Speaker 1: like this. Yeah, and there's a lot of celebrities getting

682
00:34:20,560 --> 00:34:24,400
Speaker 1: sued right now. Tom Brady, Giselle, Steph Curry, David Ortiz,

683
00:34:24,560 --> 00:34:27,879
Speaker 1: all of whom endorsed FTX and are being sued because

684
00:34:27,920 --> 00:34:30,680
Speaker 1: some people put their life savings in as a result.

685
00:34:30,719 --> 00:34:33,120
Speaker 1: I mean, look again, you look, would I put my

686
00:34:33,160 --> 00:34:34,880
Speaker 1: life savings in? There are a lot of people that

687
00:34:34,920 --> 00:34:36,600
Speaker 1: admire if they told me to do that, No, I

688
00:34:36,600 --> 00:34:39,279
Speaker 1: wouldn't do that. That said, some people did listen to them,

689
00:34:39,320 --> 00:34:41,600
Speaker 1: And you do have a responsibility, and that's why, you know,

690
00:34:41,640 --> 00:34:43,520
Speaker 1: anytime you do talk about securities and all this other stuff,

691
00:34:43,560 --> 00:34:45,520
Speaker 1: you're supposed to be like this, notn financial adllies could

692
00:34:45,560 --> 00:34:47,640
Speaker 1: be a risk, you know, et cetera. But even then

693
00:34:48,000 --> 00:34:49,640
Speaker 1: it's really gross. I'm glad that we had the text

694
00:34:49,680 --> 00:34:52,000
Speaker 1: messages and more. I wanted to just expose to you

695
00:34:52,040 --> 00:34:54,000
Speaker 1: that there's a lot of these online scams who are

696
00:34:54,000 --> 00:34:56,680
Speaker 1: out there are audience obviously on they're getting the news online.

697
00:34:56,719 --> 00:34:59,840
Speaker 1: So you may well fall victim to this just like anybody.

698
00:35:00,120 --> 00:35:02,600
Speaker 1: Or you could see some of this deceptive advertising another

699
00:35:02,719 --> 00:35:04,279
Speaker 1: and if you do see it, you know, just know

700
00:35:04,360 --> 00:35:07,239
Speaker 1: that at least somebody is taking it seriously going after them,

701
00:35:07,239 --> 00:35:09,160
Speaker 1: because it's been just such a wild West environment for

702
00:35:09,160 --> 00:35:11,840
Speaker 1: too long. And it's not a sign of like weakness

703
00:35:11,920 --> 00:35:14,360
Speaker 1: or personal failings or whatever to fall for these sorts

704
00:35:14,360 --> 00:35:17,880
Speaker 1: of things. Like humans, every human has a sort of

705
00:35:18,080 --> 00:35:22,200
Speaker 1: psychological vulnerability. And what good con artists do is they're

706
00:35:22,239 --> 00:35:26,480
Speaker 1: able to exploit, to find exactly where you're vulnerable and

707
00:35:26,560 --> 00:35:29,279
Speaker 1: be able to exploit you. And so even you know,

708
00:35:29,360 --> 00:35:31,200
Speaker 1: the ones that don't land for you, even as you

709
00:35:31,200 --> 00:35:33,120
Speaker 1: can look on the outside and be like that's ridiculous,

710
00:35:33,400 --> 00:35:36,040
Speaker 1: how would anyone fall for that? Like, we're all vulnerable

711
00:35:36,200 --> 00:35:41,480
Speaker 1: to the right correctly worded scheme ultimately, So anyway, I

712
00:35:41,560 --> 00:35:43,880
Speaker 1: just feel bad for the victims, and I'm very happy

713
00:35:43,880 --> 00:35:47,760
Speaker 1: that the SEC is going after these assholes. Speaking of assholes,

714
00:35:48,920 --> 00:35:51,920
Speaker 1: we have new text messages from I think it's like

715
00:35:52,360 --> 00:35:56,880
Speaker 1: thirty four different Republican members of Congress over the course

716
00:35:56,960 --> 00:36:00,960
Speaker 1: from like election day through January sixth, where they were

717
00:36:01,000 --> 00:36:04,080
Speaker 1: text messaging with then Chief of Staff Mark Meadows and

718
00:36:04,200 --> 00:36:06,440
Speaker 1: trying to come up with some kind of scheme to

719
00:36:06,480 --> 00:36:10,000
Speaker 1: get the election results overturn, floating all sorts of wild

720
00:36:10,080 --> 00:36:12,440
Speaker 1: conspiracy theories. Hey, Eric, if you could actually put the

721
00:36:12,480 --> 00:36:16,680
Speaker 1: second element up first, Let's start with the second element here,

722
00:36:17,000 --> 00:36:20,279
Speaker 1: because this was the original story from TPM. Here they

723
00:36:20,320 --> 00:36:22,520
Speaker 1: got a hold of these text messages. The headline is

724
00:36:22,520 --> 00:36:26,719
Speaker 1: Mark Meadows exchange text with thirty four members of Congress

725
00:36:26,760 --> 00:36:31,440
Speaker 1: about plans to overturn the twenty twenty election. The one

726
00:36:31,440 --> 00:36:35,160
Speaker 1: that is getting the most attention, both for its extremism

727
00:36:35,239 --> 00:36:39,160
Speaker 1: and also for its poor spelling, is from a representative,

728
00:36:39,440 --> 00:36:46,000
Speaker 1: Ralph Norman of South Carolina, who texted on January seventeenth,

729
00:36:46,320 --> 00:36:48,640
Speaker 1: three days before Joe Biden was set to take office.

730
00:36:48,640 --> 00:36:52,760
Speaker 1: So this is after January sixth, this is when Biden

731
00:36:52,840 --> 00:36:55,880
Speaker 1: is about to be sworn in. He texted quote Mark,

732
00:36:55,960 --> 00:36:58,319
Speaker 1: and seeing what's happening so quickly and reading about the

733
00:36:58,360 --> 00:37:02,640
Speaker 1: dominion lawsuits to stop any meaningful investigation. We are at

734
00:37:02,680 --> 00:37:06,200
Speaker 1: a point of no return in saving our republic to

735
00:37:06,360 --> 00:37:11,759
Speaker 1: exclamation points, our last hope is invoking martial law, which

736
00:37:11,800 --> 00:37:13,840
Speaker 1: he spells like the way that Marshall cost law of

737
00:37:13,880 --> 00:37:15,719
Speaker 1: our friends spells his name, not like the way that

738
00:37:15,719 --> 00:37:19,040
Speaker 1: you're supposed to spell it. Please urge to president to

739
00:37:19,160 --> 00:37:24,440
Speaker 1: do so. So you have, you know, crackpot, You've got

740
00:37:24,440 --> 00:37:27,279
Speaker 1: everything in this text. You've got the crackpot like dominion

741
00:37:27,400 --> 00:37:33,440
Speaker 1: lawsuit conspiracies. You've got absolute authoritarian extremism calling for the

742
00:37:33,480 --> 00:37:37,319
Speaker 1: president to institute martial law. And you also have you know,

743
00:37:37,440 --> 00:37:40,600
Speaker 1: some grammar and spelling issues here as well. There's so

744
00:37:40,680 --> 00:37:43,719
Speaker 1: much more though, I mean, you've got this dude, Representative

745
00:37:43,719 --> 00:37:46,719
Speaker 1: Brian Babin, who I've never even heard of before from Texas,

746
00:37:46,960 --> 00:37:49,719
Speaker 1: sent at least twenty one messages to Meadows, received at

747
00:37:49,800 --> 00:37:52,200
Speaker 1: least four responses. One of them he said, Mark, when

748
00:37:52,239 --> 00:37:55,359
Speaker 1: we lose Trump, we lose our republic, fight like hell

749
00:37:55,480 --> 00:37:57,400
Speaker 1: and find a way. We're with you down here in

750
00:37:57,440 --> 00:38:01,160
Speaker 1: Texas and refuse to live under a corrupt Mark exist dictatorship.

751
00:38:01,600 --> 00:38:03,839
Speaker 1: I wish that Biden was actually a marketist. I would

752
00:38:03,880 --> 00:38:06,440
Speaker 1: like that better. Go. Saar says, when is the forty

753
00:38:06,520 --> 00:38:09,480
Speaker 1: days up? What date starts the clock? November third? If

754
00:38:09,480 --> 00:38:12,920
Speaker 1: it is, then it is December eighteenth. China bought Dominion

755
00:38:12,920 --> 00:38:15,719
Speaker 1: in October for four hundred million. If that's not interference,

756
00:38:15,800 --> 00:38:19,040
Speaker 1: then should have a report with details and specifics there

757
00:38:19,120 --> 00:38:23,000
Speaker 1: He's this is a member of Congress literally referring to

758
00:38:23,040 --> 00:38:26,520
Speaker 1: an unhinged conspiracy theory that was floated by Alex Jones

759
00:38:26,560 --> 00:38:29,600
Speaker 1: on Info Wars. Okay, that's the level of correspondence that

760
00:38:29,600 --> 00:38:32,640
Speaker 1: we're talking about here. And then one more to give

761
00:38:32,640 --> 00:38:35,239
Speaker 1: you a little more color here. Jim Jordan, who is

762
00:38:35,520 --> 00:38:39,640
Speaker 1: very you know, powerful, well known, et cetera. He was actively,

763
00:38:40,000 --> 00:38:42,640
Speaker 1: you know, collaborating in terms of trying to get Vice

764
00:38:42,680 --> 00:38:46,080
Speaker 1: President Mike Pence to overturn the results. And you know,

765
00:38:46,160 --> 00:38:49,040
Speaker 1: obviously that's sort of like what January sixth ultimately centered around.

766
00:38:49,880 --> 00:38:53,080
Speaker 1: He says on January sixth, Vice President Mike Pence's President

767
00:38:53,080 --> 00:38:55,360
Speaker 1: of the Senate should call out all electoral votes that

768
00:38:55,360 --> 00:38:58,560
Speaker 1: he believes are unconstitutional as no electoral votes at all

769
00:38:58,719 --> 00:39:01,840
Speaker 1: in accordance with guidance from founding father Alexander Hamilton and

770
00:39:01,920 --> 00:39:05,920
Speaker 1: judicial precedence. No legislative act, wrote Alexander Hamilton in Federals

771
00:39:06,000 --> 00:39:08,560
Speaker 1: Number seventy eight, contrary to the Constitution, can be valid.

772
00:39:08,719 --> 00:39:11,360
Speaker 1: The Court and Hubbard v. Low reinforce this truth that

773
00:39:11,400 --> 00:39:14,160
Speaker 1: an unconstitutional statute is not a law at all, is

774
00:39:14,200 --> 00:39:18,000
Speaker 1: a proposition no longer open to discussion. So again he's

775
00:39:18,120 --> 00:39:20,920
Speaker 1: using these like grand words from our founding fathers to

776
00:39:21,160 --> 00:39:25,040
Speaker 1: justify nullifying the legal votes of American citizens. That's why

777
00:39:25,040 --> 00:39:27,240
Speaker 1: I think it's so it's insane, it's so important underscore

778
00:39:27,320 --> 00:39:29,680
Speaker 1: these they believe this stuff. And people always ask me,

779
00:39:29,719 --> 00:39:32,279
Speaker 1: They're like, are these congressmen really is dumb as ya siim? Yeah,

780
00:39:32,320 --> 00:39:35,479
Speaker 1: Actually they really are just boomers who watch Fox News,

781
00:39:35,600 --> 00:39:38,000
Speaker 1: And I think that comes through in terms of these

782
00:39:38,000 --> 00:39:39,960
Speaker 1: text messages. And they also literally don't know how to

783
00:39:39,960 --> 00:39:44,080
Speaker 1: spend Marshall apparently the man is literally a lawyer. Kind

784
00:39:44,080 --> 00:39:46,239
Speaker 1: of amazing. Oh my god. When you look and you

785
00:39:46,440 --> 00:39:48,879
Speaker 1: watch all of this over, I think it just goes

786
00:39:48,920 --> 00:39:51,960
Speaker 1: to show how deep the brain worms were. And we

787
00:39:52,040 --> 00:39:54,720
Speaker 1: have tried very hard to split, not to split the difference,

788
00:39:54,760 --> 00:39:57,160
Speaker 1: but to like tell the story of jan six, like

789
00:39:57,200 --> 00:40:00,840
Speaker 1: where like, look, it was bad, it's probably some FEDS involved.

790
00:40:01,360 --> 00:40:04,279
Speaker 1: Definitely wasn't enough security at the capitol. Is it a

791
00:40:04,280 --> 00:40:08,600
Speaker 1: world changing event that inspires a new domestic TARA law? Noh,

792
00:40:08,719 --> 00:40:10,840
Speaker 1: shouldn't be. Shouldn't be you know, it shouldn't be one

793
00:40:10,880 --> 00:40:13,719
Speaker 1: of those things we shouldn't overuse it and enhance the

794
00:40:13,760 --> 00:40:16,120
Speaker 1: security agencies who may have been involved in the first place.

795
00:40:16,440 --> 00:40:18,560
Speaker 1: So it's one of those where it's very difficult also

796
00:40:18,600 --> 00:40:21,440
Speaker 1: though to acknowledge and get people to really realize, like

797
00:40:21,760 --> 00:40:24,000
Speaker 1: this was serious and you know, they really would have

798
00:40:24,040 --> 00:40:26,040
Speaker 1: done it. I think if they had the possibility, they

799
00:40:26,040 --> 00:40:29,279
Speaker 1: were just too incompetent and low IQ to do so. Yeah,

800
00:40:29,280 --> 00:40:30,719
Speaker 1: And I don't really know how to feel about that.

801
00:40:30,800 --> 00:40:32,400
Speaker 1: I mean, on one hand, I guess thankful that they

802
00:40:32,400 --> 00:40:34,480
Speaker 1: were too dumb to do so, but also, you know,

803
00:40:34,560 --> 00:40:38,360
Speaker 1: the means of pulling off something like this, it's it's crazy,

804
00:40:38,520 --> 00:40:41,320
Speaker 1: and I want people to realize that it was real.

805
00:40:41,400 --> 00:40:44,960
Speaker 1: It actually was real. They really believed the dominion bamboo

806
00:40:44,960 --> 00:40:47,399
Speaker 1: ballot stuff. Yeah, coming out of the mouth of Sydney Howe.

807
00:40:47,520 --> 00:40:50,279
Speaker 1: I do think that is the most important takeaway, is

808
00:40:50,360 --> 00:40:52,120
Speaker 1: I mean, this is not a small number of Members

809
00:40:52,160 --> 00:40:55,640
Speaker 1: of Commerce either thirty four month law who were privately

810
00:40:55,680 --> 00:41:00,440
Speaker 1: texting Mark Meadows this crap, you know, wild conspiracy theories,

811
00:41:00,560 --> 00:41:03,719
Speaker 1: wild like legal theories that they thought they could use

812
00:41:03,960 --> 00:41:07,879
Speaker 1: justifiably to overturn the election. And so you know, it's

813
00:41:07,920 --> 00:41:12,600
Speaker 1: always been difficult to adequately explain January sixth because, on

814
00:41:12,640 --> 00:41:15,440
Speaker 1: the one hand, obviously it wasn't going to work. It

815
00:41:15,440 --> 00:41:18,759
Speaker 1: didn't come close to working. It was bumbling, it was ridiculous.

816
00:41:19,040 --> 00:41:22,080
Speaker 1: The court shut every lawsuit down that they filed, like

817
00:41:22,160 --> 00:41:25,120
Speaker 1: every single one of them was absurd on its face.

818
00:41:25,480 --> 00:41:28,080
Speaker 1: So you're like it was so incompetent that it didn't

819
00:41:28,120 --> 00:41:31,560
Speaker 1: actually really pose the threat that they wanted it to pose.

820
00:41:31,640 --> 00:41:34,080
Speaker 1: But make no mistake about it, like they wanted they

821
00:41:34,160 --> 00:41:37,960
Speaker 1: genuinely wanted to overturn the results. Right, there was a

822
00:41:38,080 --> 00:41:42,160
Speaker 1: full there was full will available, just lack of capability.

823
00:41:42,200 --> 00:41:44,280
Speaker 1: I mean it kind of obviously I got like obsessed

824
00:41:44,320 --> 00:41:47,120
Speaker 1: with this Reichsberger German couplot thing. But there are echoes

825
00:41:47,160 --> 00:41:50,359
Speaker 1: there because this group of like a fake prince in

826
00:41:50,400 --> 00:41:52,400
Speaker 1: his twenty five allies or whatever, like they're not going

827
00:41:52,440 --> 00:41:55,680
Speaker 1: to overthrow the German government. That doesn't mean they didn't

828
00:41:55,719 --> 00:41:58,760
Speaker 1: have real plans to do so, and could have caused

829
00:41:58,800 --> 00:42:01,719
Speaker 1: some problems and could have caused some violence and some mayhem, etc.

830
00:42:02,600 --> 00:42:05,080
Speaker 1: So that's I think that's what comes across in these

831
00:42:05,080 --> 00:42:07,880
Speaker 1: text messages. We have a graphic two that has some

832
00:42:07,960 --> 00:42:09,760
Speaker 1: of them that we can put up on the screen

833
00:42:09,840 --> 00:42:12,120
Speaker 1: there that just shows, you know, some of the back

834
00:42:12,160 --> 00:42:14,640
Speaker 1: and forth. This is some of the ones I read.

835
00:42:14,680 --> 00:42:16,760
Speaker 1: You know, when we lose Trump, we lose our republic.

836
00:42:16,840 --> 00:42:20,120
Speaker 1: Some of the conspiracy theories. You've got this dude Mike Kelly,

837
00:42:20,239 --> 00:42:23,960
Speaker 1: who's a Pennsylvania congressman saying we're suing the Pennsylvania secretary

838
00:42:23,960 --> 00:42:26,920
Speaker 1: of State for her illegal meddling in this election. Let

839
00:42:27,000 --> 00:42:29,120
Speaker 1: me know if there's anything I can do to fight

840
00:42:29,239 --> 00:42:33,359
Speaker 1: these m efforts in Pennsylvania. Our president is heroic. Thank

841
00:42:33,400 --> 00:42:35,960
Speaker 1: you for all you've done. Please tell the President just

842
00:42:36,000 --> 00:42:39,880
Speaker 1: how much he's loved and appreciated in Pennsylvania. So anyway,

843
00:42:40,080 --> 00:42:41,799
Speaker 1: gives you a little bit of a flavor of what

844
00:42:41,960 --> 00:42:45,960
Speaker 1: was going on behind the scenes during this crucial, crucial

845
00:42:46,160 --> 00:42:49,160
Speaker 1: time and very tense. Good luck winning an election whenever

846
00:42:49,200 --> 00:42:52,600
Speaker 1: this stuff is all out there, And as voter showed you,

847
00:42:52,880 --> 00:42:54,960
Speaker 1: they don't agree with you and are not willing to

848
00:42:54,960 --> 00:42:56,879
Speaker 1: look past it, which you know I really am heart

849
00:42:56,920 --> 00:42:58,839
Speaker 1: and by yes, okay, let's go to the next one.

850
00:42:59,239 --> 00:43:02,320
Speaker 1: This We were originally going to talk about something more substantive.

851
00:43:02,480 --> 00:43:05,920
Speaker 1: Jack Dorsey kind of put out a long thread around

852
00:43:06,000 --> 00:43:11,439
Speaker 1: miss about censorship misinformation, how he wish he'd handled content. Unfortunately,

853
00:43:11,520 --> 00:43:14,080
Speaker 1: Elon decided to give us something bigger that we of

854
00:43:14,120 --> 00:43:16,239
Speaker 1: course must address. So let's go ahead and put the

855
00:43:16,280 --> 00:43:19,319
Speaker 1: first element up there on the screen. Musk is now

856
00:43:19,400 --> 00:43:23,000
Speaker 1: threatening legal action against the Twitter user who tracked his

857
00:43:23,120 --> 00:43:27,120
Speaker 1: jet and has actually suspended the Elon jet account along

858
00:43:27,160 --> 00:43:31,319
Speaker 1: with automated accounts that track the jet locations not only

859
00:43:31,400 --> 00:43:34,120
Speaker 1: of Elon, but of Bill Gates, Jeff Bezos and other

860
00:43:34,360 --> 00:43:40,200
Speaker 1: large private jet accounts now eons. Elon's reasoning here is

861
00:43:40,280 --> 00:43:45,399
Speaker 1: that real time posting of somebody's information is now going

862
00:43:45,440 --> 00:43:48,840
Speaker 1: to be considered dosing by Twitter's terms of service and

863
00:43:48,920 --> 00:43:52,960
Speaker 1: will be suspended as a quote physical safety violation. Quote

864
00:43:52,960 --> 00:43:55,880
Speaker 1: posting location someone traveled to on a slightly delayed basis

865
00:43:56,000 --> 00:43:58,080
Speaker 1: is not a safety problem, so it is okay, as

866
00:43:58,120 --> 00:44:01,680
Speaker 1: in afterwards it's fine. He is reasoning is that last

867
00:44:01,760 --> 00:44:04,840
Speaker 1: night a car carrying his son in Los Angeles was

868
00:44:04,880 --> 00:44:07,520
Speaker 1: followed by a crazy stalker thinking that it was Elon,

869
00:44:07,560 --> 00:44:10,000
Speaker 1: who later blocked the car from moving and climbed on

870
00:44:10,040 --> 00:44:12,360
Speaker 1: top of the hood. Legal action is being taken against

871
00:44:12,360 --> 00:44:14,920
Speaker 1: Sweeney in organization, Sweeney being the person who ran many

872
00:44:14,960 --> 00:44:17,960
Speaker 1: of these accounts, and any organizations supported harm to his family.

873
00:44:18,760 --> 00:44:21,359
Speaker 1: The reason why that this is getting some attention is

874
00:44:21,400 --> 00:44:24,960
Speaker 1: because on November sixth, he said, quote, my commitment to

875
00:44:25,000 --> 00:44:27,840
Speaker 1: free speech extends even to not banning the account following

876
00:44:27,840 --> 00:44:31,359
Speaker 1: my plane, even though that is a direct personal safety risk.

877
00:44:31,600 --> 00:44:33,439
Speaker 1: Chris and I were talking about it this morning. Can

878
00:44:33,480 --> 00:44:35,880
Speaker 1: anyone sympathize with the man who would want to do

879
00:44:36,600 --> 00:44:39,919
Speaker 1: anything in their power to protect their family, especially after

880
00:44:39,960 --> 00:44:42,520
Speaker 1: one of their small children is attacked? Yeah, I certainly can.

881
00:44:43,000 --> 00:44:48,000
Speaker 1: That said, this was directly held up as a free

882
00:44:48,000 --> 00:44:53,280
Speaker 1: speech absolutist position, And while I do sympathize with Elon,

883
00:44:53,520 --> 00:44:55,879
Speaker 1: he is worth some three hundred billion dollars and I'm

884
00:44:55,920 --> 00:44:59,520
Speaker 1: certain has some security around himself, around his children, around

885
00:44:59,520 --> 00:45:03,200
Speaker 1: his multiple ex wives or baby mamas, whatever that you

886
00:45:03,280 --> 00:45:06,480
Speaker 1: want to call them. And you know, at the same time,

887
00:45:06,800 --> 00:45:10,359
Speaker 1: like posting real time information, what does that even mean?

888
00:45:10,560 --> 00:45:12,439
Speaker 1: For example, I was once a member of the White

889
00:45:12,440 --> 00:45:14,439
Speaker 1: House Press Corps. One of the things that we would

890
00:45:14,480 --> 00:45:16,000
Speaker 1: do when we were in the motor cade is be

891
00:45:16,000 --> 00:45:19,080
Speaker 1: like potus on the move from one place to another place.

892
00:45:19,320 --> 00:45:21,279
Speaker 1: Why do we do that in the public interest so

893
00:45:21,400 --> 00:45:24,000
Speaker 1: the American people always know where the President of the

894
00:45:24,080 --> 00:45:26,359
Speaker 1: United States is. I'm not saying Elon is like that,

895
00:45:26,480 --> 00:45:29,359
Speaker 1: but the point is is who where's the line on

896
00:45:29,560 --> 00:45:32,320
Speaker 1: what's in the public interest what's not? I mean, Elon,

897
00:45:32,640 --> 00:45:35,440
Speaker 1: Let's say he's traveling somewhere not on business, but on

898
00:45:35,440 --> 00:45:38,560
Speaker 1: an official matter and it's newsworthy. Well, that arises to

899
00:45:38,640 --> 00:45:41,680
Speaker 1: the level, you know, his own personal safety. This is

900
00:45:41,680 --> 00:45:43,360
Speaker 1: one of those things where we always have to balance

901
00:45:43,400 --> 00:45:46,280
Speaker 1: and in my opinion, it actually falls into the worst

902
00:45:46,560 --> 00:45:50,719
Speaker 1: of censorship, which is it's always under the guise of safetyism.

903
00:45:51,239 --> 00:45:53,960
Speaker 1: People think about, you know, all the banning of the dead,

904
00:45:54,040 --> 00:45:56,279
Speaker 1: naming and all a sud like, Oh, this is about say,

905
00:45:56,400 --> 00:46:00,359
Speaker 1: what does that even mean? Protecting people's lives, et cetera. Yes,

906
00:46:00,400 --> 00:46:03,239
Speaker 1: it's completely within the eye of the beholder. So this

907
00:46:03,360 --> 00:46:05,799
Speaker 1: is exactly why it shouldn't be in his hands. He

908
00:46:05,920 --> 00:46:08,640
Speaker 1: just rewrote the rules literally a day later, and I

909
00:46:08,719 --> 00:46:10,759
Speaker 1: get it. I sympathize. If I was a father, I

910
00:46:10,800 --> 00:46:12,799
Speaker 1: probably would try and do the same thing. But this

911
00:46:12,840 --> 00:46:15,000
Speaker 1: is exactly why it really shouldn't be in his hands

912
00:46:15,000 --> 00:46:17,759
Speaker 1: in the first place. Stop waiting for the right oligarch

913
00:46:17,840 --> 00:46:20,040
Speaker 1: to come along to save you on free speech, because

914
00:46:20,080 --> 00:46:22,279
Speaker 1: it's just never gonna happen. I mean, even if you

915
00:46:22,400 --> 00:46:25,279
Speaker 1: are well intentioned, which you know, in my opinion, I

916
00:46:25,280 --> 00:46:27,200
Speaker 1: don't think that highly of Elon, so I don't think

917
00:46:27,200 --> 00:46:29,280
Speaker 1: that he is. But let's assume he has the best offentay,

918
00:46:29,280 --> 00:46:31,800
Speaker 1: I really want you are still we have seen multiple

919
00:46:31,800 --> 00:46:35,560
Speaker 1: decisions made that are all about his own personal vibes

920
00:46:35,600 --> 00:46:38,640
Speaker 1: and feelings and emotions about it. And as long as

921
00:46:38,760 --> 00:46:43,520
Speaker 1: your speech is subject to the approval of some oligarch

922
00:46:43,680 --> 00:46:46,600
Speaker 1: or another, that is not free speech. So there's a

923
00:46:46,600 --> 00:46:48,920
Speaker 1: couple other things to note about this. Number one, this

924
00:46:49,040 --> 00:46:51,720
Speaker 1: is information that is already publicly availed. Yeah, that's true.

925
00:46:51,719 --> 00:46:54,759
Speaker 1: Need go on any fa website. All Sweeney doesn't have

926
00:46:54,800 --> 00:46:58,719
Speaker 1: any like, you know, magical knowledge or insider info. Here's

927
00:46:58,840 --> 00:47:02,359
Speaker 1: it's literally an autoim made it account that just reposts

928
00:47:02,640 --> 00:47:06,000
Speaker 1: already publicly available info. That's number one. Number two, they

929
00:47:06,000 --> 00:47:08,320
Speaker 1: went so far as even to he has an Instagram

930
00:47:08,360 --> 00:47:10,800
Speaker 1: account that does the same thing, and they're blocking people

931
00:47:10,800 --> 00:47:13,160
Speaker 1: from even you know, sharing that on the platform. It

932
00:47:13,200 --> 00:47:15,920
Speaker 1: really is almost like a Hunter Biden laptop type of treatment.

933
00:47:15,920 --> 00:47:18,520
Speaker 1: I'm not saying it's that level of importance because we're

934
00:47:18,560 --> 00:47:21,000
Speaker 1: not in a presential election, but it really is. He

935
00:47:21,120 --> 00:47:24,000
Speaker 1: decided he doesn't like this one thing, even though he'd

936
00:47:24,000 --> 00:47:26,920
Speaker 1: already said that because I'm a free speech absolutist, it

937
00:47:26,960 --> 00:47:29,439
Speaker 1: even applies to this one specific account. So it goes

938
00:47:29,480 --> 00:47:32,800
Speaker 1: back on that they actively rewrite the terms of service

939
00:47:33,200 --> 00:47:37,040
Speaker 1: in order to fit this one specific case that bothers

940
00:47:37,120 --> 00:47:41,600
Speaker 1: and in his view, threatens him. Okay, so again it's

941
00:47:41,680 --> 00:47:45,560
Speaker 1: just subject to the whims of Elon musk. Another thing,

942
00:47:46,480 --> 00:47:49,680
Speaker 1: you know, the supposed position of Elon, which he stated publicly,

943
00:47:49,960 --> 00:47:52,880
Speaker 1: was that any speech that was legal would be allowed

944
00:47:52,880 --> 00:47:55,680
Speaker 1: on the platform. There was in fact a Supreme Court

945
00:47:55,760 --> 00:47:59,760
Speaker 1: case apparently about this exact thing, the publishing of flight

946
00:47:59,840 --> 00:48:03,200
Speaker 1: dewn DTA of a flight location data, and they found

947
00:48:03,360 --> 00:48:06,680
Speaker 1: it is free speech. So by any standard, if you're

948
00:48:06,680 --> 00:48:09,400
Speaker 1: looking at this, it does not mean what he said.

949
00:48:09,440 --> 00:48:12,560
Speaker 1: His criteria would be not to mention. I mean, at

950
00:48:12,560 --> 00:48:14,160
Speaker 1: the beginning, it was like, oh, I'm gonna have my

951
00:48:14,200 --> 00:48:16,799
Speaker 1: content moderation counsel and it's going to be different and

952
00:48:17,560 --> 00:48:20,880
Speaker 1: we to see and I actually appreciate it because I

953
00:48:20,880 --> 00:48:24,719
Speaker 1: think it's very revealing. As long as these decisions are

954
00:48:24,800 --> 00:48:28,600
Speaker 1: in the hand of some individual or small group of

955
00:48:28,600 --> 00:48:32,400
Speaker 1: individuals or whatever, your speech is always going to be

956
00:48:32,480 --> 00:48:36,320
Speaker 1: subject to the whims of their own proclivities and biases.

957
00:48:36,360 --> 00:48:38,319
Speaker 1: I mean to give you one more example about the

958
00:48:38,680 --> 00:48:41,960
Speaker 1: threats and the violence or whatever. Joel Roth, who has

959
00:48:42,000 --> 00:48:44,439
Speaker 1: become like a villain in the story, and I think

960
00:48:44,480 --> 00:48:47,319
Speaker 1: with some justified. I mean, you know, he has an

961
00:48:47,320 --> 00:48:49,880
Speaker 1: ideology that he pushed, and I disagree with what the

962
00:48:49,920 --> 00:48:53,799
Speaker 1: policy he pursued with the platform was. But he's had

963
00:48:53,840 --> 00:48:57,520
Speaker 1: to leave his house because of violent, you know, potentially

964
00:48:57,600 --> 00:49:01,640
Speaker 1: legitimate threats against him. So he's you know, Elon doesn't

965
00:49:01,680 --> 00:49:04,480
Speaker 1: have any care or concern apparently about that threat of

966
00:49:04,480 --> 00:49:07,480
Speaker 1: safety to someone else. It's only when it touches him

967
00:49:07,520 --> 00:49:10,400
Speaker 1: and his family that he ultimately cared. And that's what

968
00:49:10,440 --> 00:49:12,200
Speaker 1: makes it so difficult. Do I want people to threaten

969
00:49:12,280 --> 00:49:15,080
Speaker 1: Joel Roth? No, leave Yol Roth alone. That said, I

970
00:49:15,080 --> 00:49:17,399
Speaker 1: am going to still tweet and say whatever I want

971
00:49:17,400 --> 00:49:20,520
Speaker 1: about Yoel roth in a critical manner, because if some

972
00:49:20,640 --> 00:49:23,440
Speaker 1: crazy person decides to do something with that, that's on them.

973
00:49:23,680 --> 00:49:26,200
Speaker 1: What they try to do is silence anybody who is

974
00:49:26,200 --> 00:49:28,520
Speaker 1: criticizing them and saying that if you do, you are

975
00:49:28,520 --> 00:49:32,880
Speaker 1: somehow responsible for discussing attacks. That is a ludicrous position.

976
00:49:33,160 --> 00:49:36,600
Speaker 1: Aclu versus the town of Skokie on the KKKE or

977
00:49:36,640 --> 00:49:40,000
Speaker 1: the Nazi rally had the exact same thing. The residents, remember,

978
00:49:40,080 --> 00:49:42,560
Speaker 1: many of whom were Holocaust survivors, said that looking at

979
00:49:42,560 --> 00:49:46,000
Speaker 1: swastikas and at white supremacists was directly harmful to them

980
00:49:46,239 --> 00:49:48,960
Speaker 1: and was bringing back bad memories and was a threat

981
00:49:49,000 --> 00:49:51,880
Speaker 1: against their own physical safety. The court ruled in the

982
00:49:51,920 --> 00:49:55,560
Speaker 1: favor of the rally specifically because yes, speech is very

983
00:49:55,600 --> 00:49:58,640
Speaker 1: often not just uncomfortable, it can often be dangerous. And

984
00:49:58,680 --> 00:50:01,239
Speaker 1: in terms of the thing that we have in our

985
00:50:01,280 --> 00:50:05,279
Speaker 1: statutes around what imminent incitement of violence actually looks like, Yeah,

986
00:50:05,320 --> 00:50:08,200
Speaker 1: it doesn't look like this. So look, it just comes

987
00:50:08,239 --> 00:50:11,600
Speaker 1: back to he banned Kanye for posting a swastika. Do

988
00:50:11,680 --> 00:50:14,759
Speaker 1: I look locally in swastika from Kanye's anti semitic be

989
00:50:14,880 --> 00:50:18,120
Speaker 1: it like bile? No, that said, what he posted was

990
00:50:18,160 --> 00:50:22,160
Speaker 1: totally within the bounds of free speech absolutism, and Elon

991
00:50:22,320 --> 00:50:24,440
Speaker 1: just said, well, it made me inside to violence, so

992
00:50:24,520 --> 00:50:26,920
Speaker 1: I decided to ban it now on his own personal

993
00:50:26,960 --> 00:50:28,920
Speaker 1: jet account. Also, I've never been on private jet. I

994
00:50:28,920 --> 00:50:31,080
Speaker 1: don't know anything about private jets. But is it really

995
00:50:31,080 --> 00:50:33,680
Speaker 1: that hard to actually conceal or is it really just

996
00:50:33,760 --> 00:50:36,560
Speaker 1: because when you own the jet and then you have

997
00:50:36,640 --> 00:50:40,319
Speaker 1: to file paperwork then that they can just align with

998
00:50:40,360 --> 00:50:42,239
Speaker 1: that jet. Why don't you just charter our jet? Like?

999
00:50:42,640 --> 00:50:45,319
Speaker 1: Am I just thinking you know too sensibly here? Or

1000
00:50:45,360 --> 00:50:47,560
Speaker 1: is it just too easy to own your own jet? Yea,

1001
00:50:47,600 --> 00:50:49,800
Speaker 1: and that's why they don't all do it. Again, I

1002
00:50:49,840 --> 00:50:53,000
Speaker 1: don't know anything. I haven't really thought too cheap about

1003
00:50:53,000 --> 00:50:56,640
Speaker 1: that black commercial flight commercial and nobody knows where you're going, right,

1004
00:50:59,120 --> 00:51:01,719
Speaker 1: there's a little trick for you, Eli. One other thing

1005
00:51:01,719 --> 00:51:03,279
Speaker 1: I'm want to say about this, because I mean, I

1006
00:51:03,280 --> 00:51:04,920
Speaker 1: think it just adds some color texture to it. Like

1007
00:51:04,960 --> 00:51:07,839
Speaker 1: this guy Sweeny who's twenty years old. And by the way,

1008
00:51:08,120 --> 00:51:11,040
Speaker 1: also he's being threatened with a lawsuit now from Elon.

1009
00:51:11,160 --> 00:51:14,120
Speaker 1: That's open shut. He will easily with third again from

1010
00:51:14,160 --> 00:51:18,319
Speaker 1: the supposed free speech absolutist, you're threatening this twenty year

1011
00:51:18,360 --> 00:51:21,360
Speaker 1: old with a lawsuit over information that is publicly available.

1012
00:51:21,360 --> 00:51:25,080
Speaker 1: I mean, come on, it's totally ridiculous. But this guy,

1013
00:51:25,480 --> 00:51:27,799
Speaker 1: apparently the reason he started the account is because he

1014
00:51:27,840 --> 00:51:30,239
Speaker 1: actually was a big fan of Elon. He wanted to

1015
00:51:30,480 --> 00:51:32,840
Speaker 1: he was like tracking like, oh, his big like business

1016
00:51:32,840 --> 00:51:34,759
Speaker 1: moves and how he runs his business and what he's

1017
00:51:34,840 --> 00:51:37,600
Speaker 1: up to, and that was the genesis of the account.

1018
00:51:37,680 --> 00:51:41,760
Speaker 1: So I mean, not that I don't think it substantively matters,

1019
00:51:41,800 --> 00:51:43,920
Speaker 1: but it does add a little bit of texture to

1020
00:51:43,960 --> 00:51:46,560
Speaker 1: the fact this guy wasn't out to get Elon. He

1021
00:51:46,680 --> 00:51:49,120
Speaker 1: actually was like a fanboy. Although I think he is

1022
00:51:49,160 --> 00:51:51,680
Speaker 1: sort of rethinking his position on that. Yeah, apparently Elon

1023
00:51:51,760 --> 00:51:53,719
Speaker 1: once offered him like five grand for the account, and

1024
00:51:53,719 --> 00:51:55,880
Speaker 1: it's like, dude, coming like, if you really wanted to

1025
00:51:55,880 --> 00:51:59,000
Speaker 1: go away, you're gonna have to pay a Hell, we

1026
00:51:59,120 --> 00:52:01,759
Speaker 1: should have made one, but this is important to you. Yeah,

1027
00:52:01,800 --> 00:52:03,480
Speaker 1: if you paid him one hundred grand, none of this

1028
00:52:03,520 --> 00:52:05,640
Speaker 1: would have happened. So that's the other reason. Don't be cheap,

1029
00:52:05,719 --> 00:52:07,640
Speaker 1: even whenever you're really rich. Well, and by the way,

1030
00:52:07,640 --> 00:52:10,000
Speaker 1: if he did buy the account, someone else could just

1031
00:52:10,040 --> 00:52:12,799
Speaker 1: make another one exactly and have the same you know.

1032
00:52:12,920 --> 00:52:16,000
Speaker 1: Algorth like thought, that just reposts the data anyway, because

1033
00:52:16,080 --> 00:52:19,279
Speaker 1: because with the FAA publicly available right exactly. And also,

1034
00:52:19,360 --> 00:52:21,279
Speaker 1: like I said, fly commercial, nobody knows where the hell

1035
00:52:21,320 --> 00:52:23,440
Speaker 1: you are. Just wear a hat or actually even these

1036
00:52:23,480 --> 00:52:25,440
Speaker 1: days some people get on planes with masks and hats on.

1037
00:52:25,480 --> 00:52:27,400
Speaker 1: So you have no idea. That's true, that is true,

1038
00:52:27,480 --> 00:52:32,160
Speaker 1: all right, all right, sager, we are looking at well.

1039
00:52:32,360 --> 00:52:35,040
Speaker 1: I often say we're not a serious country. It's something

1040
00:52:35,040 --> 00:52:36,719
Speaker 1: that appears to have resonated with a lot of you.

1041
00:52:36,920 --> 00:52:38,560
Speaker 1: I think it codes in a way that you want,

1042
00:52:38,640 --> 00:52:40,960
Speaker 1: you know, both left right wing. It just hits a

1043
00:52:41,000 --> 00:52:43,960
Speaker 1: deep nerve. We all know. It's true, from our political fights,

1044
00:52:43,960 --> 00:52:46,360
Speaker 1: to our economic leaders, to the general feeling of malaise

1045
00:52:46,400 --> 00:52:48,200
Speaker 1: that all of us can relate in some way. And

1046
00:52:48,239 --> 00:52:50,960
Speaker 1: a perfect example of that to me is TikTok. When

1047
00:52:51,000 --> 00:52:52,960
Speaker 1: you say it in the abstract, I know it sounds laughable,

1048
00:52:53,160 --> 00:52:56,080
Speaker 1: but in the height of peer competition with a malevolent

1049
00:52:56,320 --> 00:52:59,759
Speaker 1: foreign government, we are allowing the most downloaded app in

1050
00:52:59,800 --> 00:53:03,040
Speaker 1: the United States, most used social media app to be

1051
00:53:03,080 --> 00:53:06,759
Speaker 1: one controlled by that foreign adversary, an adversary which, by

1052
00:53:06,760 --> 00:53:10,040
Speaker 1: the way, specifically does not allow US based social media

1053
00:53:10,080 --> 00:53:12,719
Speaker 1: companies to operate there under the belief that doing so

1054
00:53:12,920 --> 00:53:16,560
Speaker 1: would allow us to shape their population towards democratic norms

1055
00:53:16,600 --> 00:53:20,399
Speaker 1: and corrupt their society. On its face, it's ludicrous from

1056
00:53:20,440 --> 00:53:23,680
Speaker 1: a national security perspective, from a basic fairness perspective, in

1057
00:53:23,760 --> 00:53:26,560
Speaker 1: terms of competition. Truly, imagine, at the height of the

1058
00:53:26,600 --> 00:53:29,319
Speaker 1: Cold War the largest newspaper in circulation is owned by

1059
00:53:29,320 --> 00:53:32,399
Speaker 1: the Soviet Union and controlled by the KGB. You would

1060
00:53:32,440 --> 00:53:34,759
Speaker 1: never accept that in a million years. Yet we have

1061
00:53:34,840 --> 00:53:38,680
Speaker 1: continued to let our society increasingly be reliant on set APP,

1062
00:53:38,880 --> 00:53:41,840
Speaker 1: with no serious effort yet by both Trump and Biden

1063
00:53:42,000 --> 00:53:44,440
Speaker 1: to do what obviously needs to be done. Just ban

1064
00:53:44,560 --> 00:53:46,480
Speaker 1: the damn app and be done with it. This is

1065
00:53:46,520 --> 00:53:49,560
Speaker 1: why I'm very heartened actually to see a serious bipartisan

1066
00:53:49,560 --> 00:53:52,560
Speaker 1: effort actually materialized to treat the issue with the seriousness

1067
00:53:52,560 --> 00:53:55,800
Speaker 1: it deserves. Congressman Raja Krishnamurthy, He's a Democrat from the

1068
00:53:55,840 --> 00:53:59,520
Speaker 1: Illinois eighth District. Congressman Mike Gallagher, a Republican from Wisconsin,

1069
00:53:59,680 --> 00:54:03,080
Speaker 1: and Enator Marco Rubio have introduced the first bipartisan effort

1070
00:54:03,120 --> 00:54:06,080
Speaker 1: of its kind to actually ban TikTok. The legislation, as

1071
00:54:06,080 --> 00:54:09,120
Speaker 1: written would block all transactions from any social media company

1072
00:54:09,280 --> 00:54:12,120
Speaker 1: under the influence of China or Russia. Now, it's worth

1073
00:54:12,160 --> 00:54:15,279
Speaker 1: noting the Democratic Congressman language to hear quote at a

1074
00:54:15,280 --> 00:54:17,880
Speaker 1: time when the CCP and our adversaries abroad are seeking

1075
00:54:17,920 --> 00:54:20,320
Speaker 1: any advantage they can find against the US through espionage

1076
00:54:20,320 --> 00:54:22,680
Speaker 1: and mass surveillance, it is imperative we do not allow

1077
00:54:22,719 --> 00:54:25,759
Speaker 1: hostile powers to potentially control social media networks that could

1078
00:54:25,760 --> 00:54:29,200
Speaker 1: be easily weaponized against US. He adds recent revelations surrounding

1079
00:54:29,239 --> 00:54:32,240
Speaker 1: the depth of TikTok's ties to CCP highlight the urgency

1080
00:54:32,280 --> 00:54:34,719
Speaker 1: of protecting Americans from these risks before it's too late.

1081
00:54:35,400 --> 00:54:38,439
Speaker 1: This rhetoric from the Democratic Congressman is so necessary because

1082
00:54:38,440 --> 00:54:41,280
Speaker 1: the Biden administration right now is poised to fold completely

1083
00:54:41,320 --> 00:54:44,439
Speaker 1: to TikTok. A draft agreement seen two months ago would

1084
00:54:44,440 --> 00:54:47,600
Speaker 1: allow TikTok to continue operating in the US with fake

1085
00:54:47,680 --> 00:54:50,240
Speaker 1: protections where some data is stored in the United States

1086
00:54:50,360 --> 00:54:52,360
Speaker 1: and some sort of fake auditor would be allowed to

1087
00:54:52,400 --> 00:54:55,880
Speaker 1: review their security practices, but it would still remain wholly

1088
00:54:55,960 --> 00:54:59,040
Speaker 1: owned and operated by Chinese parent company by Dance. This

1089
00:54:59,120 --> 00:55:01,560
Speaker 1: is nothing but surro on the issue, as we have

1090
00:55:01,600 --> 00:55:05,000
Speaker 1: now found repeatedly byte Dance through its control of TikTok,

1091
00:55:05,040 --> 00:55:07,120
Speaker 1: and the United States sees it as an arm of

1092
00:55:07,160 --> 00:55:10,560
Speaker 1: the CCP. The app has already been shown to have

1093
00:55:10,600 --> 00:55:14,360
Speaker 1: been used to specifically surveil and monitor the physical location

1094
00:55:14,600 --> 00:55:18,200
Speaker 1: of American citizens data in a massive data gathering operation

1095
00:55:18,280 --> 00:55:21,000
Speaker 1: that had nothing to do with advertising. In other words,

1096
00:55:21,120 --> 00:55:25,840
Speaker 1: they were not collecting location data for any legitimate business purpose.

1097
00:55:26,040 --> 00:55:29,040
Speaker 1: They could only have been doing for foreigns by ware purposes.

1098
00:55:29,280 --> 00:55:31,600
Speaker 1: The deal with the Biden administration appears to be going

1099
00:55:31,600 --> 00:55:34,560
Speaker 1: towards is a farce. TikTok has all sorts of fake

1100
00:55:34,600 --> 00:55:37,720
Speaker 1: practices in place right now, where they claim ByteDance doesn't

1101
00:55:37,719 --> 00:55:40,680
Speaker 1: control them, But as we have seen from leaked recordings

1102
00:55:40,719 --> 00:55:44,879
Speaker 1: from inside the company, ByteDance and China controls everything about

1103
00:55:44,880 --> 00:55:48,160
Speaker 1: the app. According to the employees inside the company itself,

1104
00:55:48,560 --> 00:55:50,839
Speaker 1: all of this is happening while TikTok is literally eating

1105
00:55:50,920 --> 00:55:54,000
Speaker 1: the Internet. Data from Cloudfare and Data dot Ai and

1106
00:55:54,040 --> 00:55:57,400
Speaker 1: Center Sensor Tower indicate TikTok's website was viewed more than

1107
00:55:57,440 --> 00:56:01,840
Speaker 1: Google last year. No app has grown further past a

1108
00:56:01,920 --> 00:56:05,240
Speaker 1: billion users and at least one third of the entire

1109
00:56:05,560 --> 00:56:09,200
Speaker 1: US population uses it. Two thirds of all US young adults,

1110
00:56:09,400 --> 00:56:11,640
Speaker 1: and a sizeable portion of those young adults say they

1111
00:56:11,719 --> 00:56:15,200
Speaker 1: quote use it almost constantly. On that I think it's

1112
00:56:15,200 --> 00:56:18,000
Speaker 1: important to say this. I deplore kids and adults being

1113
00:56:18,040 --> 00:56:19,879
Speaker 1: glued to their phones, but at the end of the day,

1114
00:56:20,200 --> 00:56:22,719
Speaker 1: that's your right as a parent and as a consumer.

1115
00:56:22,960 --> 00:56:25,719
Speaker 1: Banning TikTok does not mean in any way that technology

1116
00:56:25,800 --> 00:56:28,280
Speaker 1: or some other form can't or should arise in its place.

1117
00:56:28,560 --> 00:56:32,320
Speaker 1: In India, after they ban TikTok, clones were rampantly downloaded

1118
00:56:32,320 --> 00:56:35,200
Speaker 1: within days and they're doing fine. The point here is

1119
00:56:35,239 --> 00:56:38,960
Speaker 1: about sovereignty. You may hate big tech and be suspicious

1120
00:56:39,000 --> 00:56:41,640
Speaker 1: of them. I've said here a million times now, there's

1121
00:56:41,680 --> 00:56:44,200
Speaker 1: still a big difference from a US based social media

1122
00:56:44,280 --> 00:56:47,400
Speaker 1: app spuying on you for profit versus an authoritarian government.

1123
00:56:47,520 --> 00:56:51,040
Speaker 1: For one thing, one, we have democratic ability via our

1124
00:56:51,080 --> 00:56:53,680
Speaker 1: government to actually make ours stop if we want to.

1125
00:56:53,960 --> 00:56:56,600
Speaker 1: For another, when our government wants something from them, at

1126
00:56:56,680 --> 00:56:58,200
Speaker 1: least you got to get a warrant and they can

1127
00:56:58,239 --> 00:57:00,320
Speaker 1: still tell you to go to hell. It's not perfect,

1128
00:57:00,480 --> 00:57:02,760
Speaker 1: but it's a hell of a lot better. In China

1129
00:57:03,000 --> 00:57:05,400
Speaker 1: in the middle of right now of COVID zero protests,

1130
00:57:05,520 --> 00:57:08,480
Speaker 1: guess what there's mass censoring on that app. Also, consider

1131
00:57:08,520 --> 00:57:11,040
Speaker 1: a time here when US public opinion is counter to

1132
00:57:11,120 --> 00:57:14,000
Speaker 1: China's interests. Ask yourself, seriously, if they wouldn't use that

1133
00:57:14,040 --> 00:57:16,200
Speaker 1: app to try and influence it. If you don't think

1134
00:57:16,200 --> 00:57:18,160
Speaker 1: that they would, I can't really help you, but I

1135
00:57:18,200 --> 00:57:19,640
Speaker 1: know that most of you know it to be true.

1136
00:57:19,880 --> 00:57:22,360
Speaker 1: It's time to ban it and to applaud legislators actually

1137
00:57:22,360 --> 00:57:24,520
Speaker 1: trying to do so, because if we don't today, it

1138
00:57:24,520 --> 00:57:26,440
Speaker 1: could be too late and Biden will let them off

1139
00:57:26,440 --> 00:57:29,000
Speaker 1: the hook. This is unacceptable. We really can't let it go.

1140
00:57:29,200 --> 00:57:31,560
Speaker 1: I thought it was really interesting to see Raja Christian

1141
00:57:31,640 --> 00:57:34,760
Speaker 1: Moorthy go ahead and sign on to this legislation the

1142
00:57:34,880 --> 00:57:37,120
Speaker 1: very first And if you want to hear my reaction

1143
00:57:37,200 --> 00:57:40,880
Speaker 1: to Cyber's monologue, become a premium subscriber today at Breakingpoints

1144
00:57:40,880 --> 00:57:45,120
Speaker 1: dot com. All right, christ well, what do you take

1145
00:57:45,120 --> 00:57:47,800
Speaker 1: it a look at? Unfortunately, twenty twenty two is ending

1146
00:57:47,800 --> 00:57:49,560
Speaker 1: on a bit of a sour note for workers and

1147
00:57:49,600 --> 00:57:52,280
Speaker 1: for the labor movement. More broadly, President Biden showed his

1148
00:57:52,360 --> 00:57:54,640
Speaker 1: true colors as a strike breaker in chief, getting a

1149
00:57:54,680 --> 00:57:57,520
Speaker 1: congressional boost from polosiing the Democrats to force a bad

1150
00:57:57,560 --> 00:58:01,600
Speaker 1: deal on Railroaders FED continues to hike interest rates in

1151
00:58:01,640 --> 00:58:04,040
Speaker 1: an overt effort to discipline labor, which has gotten a

1152
00:58:04,040 --> 00:58:06,040
Speaker 1: little bit rowdy, a little bit militant, and a lot

1153
00:58:06,160 --> 00:58:09,400
Speaker 1: organized over the past year. But don't let these setbacks

1154
00:58:09,520 --> 00:58:12,600
Speaker 1: distract you from the fact that on a whole, workers

1155
00:58:12,640 --> 00:58:16,680
Speaker 1: in twenty twenty two took bold action. They organized, they struck,

1156
00:58:16,760 --> 00:58:19,520
Speaker 1: and they won in a way that is truly revolutionary

1157
00:58:19,520 --> 00:58:22,520
Speaker 1: when compared to every other year of my life. So,

1158
00:58:23,000 --> 00:58:25,520
Speaker 1: with twenty twenty two some swiftly drawing to a close,

1159
00:58:25,600 --> 00:58:28,640
Speaker 1: I thought I would put together five big revolutionary moments

1160
00:58:28,680 --> 00:58:31,080
Speaker 1: that made twenty twenty two the year of the worker.

1161
00:58:31,480 --> 00:58:34,360
Speaker 1: Special shout out upfront to Labor Notes reporter Jodah Furman

1162
00:58:34,600 --> 00:58:37,280
Speaker 1: for his input on this list, and no list of

1163
00:58:37,280 --> 00:58:39,640
Speaker 1: notable labor events in twenty twenty two would be complete

1164
00:58:39,640 --> 00:58:42,560
Speaker 1: without a mention of the epic Labor Notes conference. All right,

1165
00:58:42,600 --> 00:58:45,280
Speaker 1: with all of that said, let's jump in. Early in

1166
00:58:45,320 --> 00:58:49,120
Speaker 1: the year, we were all shocked by an absolutely seminal

1167
00:58:49,320 --> 00:58:51,960
Speaker 1: turning point in labor history. I will let the man

1168
00:58:52,040 --> 00:58:54,760
Speaker 1: himself explain what he and his fellow workers were able

1169
00:58:54,760 --> 00:58:57,760
Speaker 1: to pull off. Wow, I can tell you now we

1170
00:58:58,120 --> 00:59:00,800
Speaker 1: got to juggle it. We wait for the juggler, and

1171
00:59:00,840 --> 00:59:03,080
Speaker 1: we went for the top dog because we want every

1172
00:59:03,080 --> 00:59:08,200
Speaker 1: other industry, every other business to know that gangs have changed.

1173
00:59:08,960 --> 00:59:11,240
Speaker 1: We're gonna unionize. I'm not gonna quit our jobs anymore.

1174
00:59:11,840 --> 00:59:15,320
Speaker 1: And uh, you know, this is a prime example of

1175
00:59:15,360 --> 00:59:19,400
Speaker 1: what the power that people have when they come together. Oh,

1176
00:59:19,440 --> 00:59:21,680
Speaker 1: they're gonna have to negotiate with their workers now. You know.

1177
00:59:21,840 --> 00:59:24,440
Speaker 1: My message is that now we have a union that

1178
00:59:24,480 --> 00:59:26,880
Speaker 1: they're gonna have to collect the bargain with. That's right.

1179
00:59:27,000 --> 00:59:29,800
Speaker 1: Chris Small's and his comrades came out of nowhere. It

1180
00:59:29,840 --> 00:59:31,680
Speaker 1: did what literally no one else has been able to

1181
00:59:31,720 --> 00:59:34,400
Speaker 1: pull off in US history, with a new grossroots union

1182
00:59:34,440 --> 00:59:37,920
Speaker 1: called the Amazon Labor Union. They won a union election

1183
00:59:38,080 --> 00:59:40,200
Speaker 1: at a large and crucial warehouse in the New York

1184
00:59:40,200 --> 00:59:44,200
Speaker 1: City area. Fairytale David versus Glias story, diverse group of

1185
00:59:44,320 --> 00:59:46,600
Speaker 1: ordinary workers able to take on one of the richest

1186
00:59:46,600 --> 00:59:49,640
Speaker 1: and most powerful men on the entire planet, and they won.

1187
00:59:50,160 --> 00:59:53,280
Speaker 1: This victory sent an unmistakable message to workers across the

1188
00:59:53,320 --> 00:59:56,600
Speaker 1: country that will, of course, nothing is guaranteed. They had

1189
00:59:56,640 --> 00:59:59,919
Speaker 1: a chance to organize and to win at any work

1190
01:00:00,320 --> 01:00:04,040
Speaker 1: anywhere in the entire country. Chris's personal story no less inspiring.

1191
01:00:04,360 --> 01:00:07,640
Speaker 1: Fired for speaking out during the pandemic smeared a stupid

1192
01:00:07,680 --> 01:00:11,040
Speaker 1: and inarticulate by Amazon executives and leading an effort out

1193
01:00:11,040 --> 01:00:14,640
Speaker 1: of nowhere that defied history. Chris issued a warning and

1194
01:00:14,680 --> 01:00:17,400
Speaker 1: a challenge to the whole nation. Workers were not going

1195
01:00:17,440 --> 01:00:19,960
Speaker 1: to quit their jobs anymore, as he said, and move

1196
01:00:20,000 --> 01:00:23,320
Speaker 1: on to the next low paid, low dignity workplace. They

1197
01:00:23,320 --> 01:00:26,800
Speaker 1: were going to organize and transform the workplace they were

1198
01:00:26,840 --> 01:00:30,680
Speaker 1: already in, and that is exactly what many chose to do.

1199
01:00:31,000 --> 01:00:34,560
Speaker 1: In fact, another huge moment this year was the wildfire

1200
01:00:34,560 --> 01:00:37,720
Speaker 1: spread of grassroots organizing in fast food and service jobs,

1201
01:00:37,880 --> 01:00:41,480
Speaker 1: led by the visionary workers at Starbucks. The first successful

1202
01:00:41,520 --> 01:00:44,080
Speaker 1: union drive at Starbucks actually happened just over a year ago,

1203
01:00:44,120 --> 01:00:46,240
Speaker 1: back in twenty twenty one, but it was in twenty

1204
01:00:46,280 --> 01:00:49,720
Speaker 1: twenty two that that movement took off coast to coast,

1205
01:00:49,840 --> 01:00:52,760
Speaker 1: bringing an unprecedented wave of organizing to an industry that

1206
01:00:52,840 --> 01:00:56,520
Speaker 1: many had assumed would be impossible to organize. Matt Brunning

1207
01:00:56,600 --> 01:00:59,040
Speaker 1: put together a phenomenal recap of the success of the

1208
01:00:59,040 --> 01:01:02,240
Speaker 1: Starbucks worker movement has enjoyed. His top line number here

1209
01:01:02,400 --> 01:01:06,200
Speaker 1: is astonishing, Starbucks workers won two hundred and sixty seven

1210
01:01:06,200 --> 01:01:08,880
Speaker 1: elections in just three hundred and sixty five days. Their

1211
01:01:08,920 --> 01:01:11,760
Speaker 1: win rate was equally jaw dropping. Here you can see

1212
01:01:11,800 --> 01:01:14,680
Speaker 1: two different charts. One shows the number of union wins,

1213
01:01:14,720 --> 01:01:17,560
Speaker 1: which slowly builds and then skyrockets right around May of

1214
01:01:17,600 --> 01:01:20,360
Speaker 1: this year, building to that final taally of two hundred

1215
01:01:20,360 --> 01:01:23,480
Speaker 1: and sixty seven stores organized in total. The other chart

1216
01:01:23,480 --> 01:01:25,360
Speaker 1: there on the bottom, it shows their win rate over

1217
01:01:25,400 --> 01:01:29,160
Speaker 1: this timeframe, which ends the year at a stunning eighty percent.

1218
01:01:29,680 --> 01:01:32,600
Speaker 1: Most of these union victories, too, were totally lopsided. A

1219
01:01:32,680 --> 01:01:36,200
Speaker 1: number of stores had unanimus votes in favor of the union. Overall,

1220
01:01:36,240 --> 01:01:39,800
Speaker 1: if you consider every worker that had a chance to

1221
01:01:39,920 --> 01:01:43,600
Speaker 1: vote for or against the union, seventy one percent of

1222
01:01:43,680 --> 01:01:47,520
Speaker 1: all workers voted yes. The Starbucks workers really inspired a

1223
01:01:47,600 --> 01:01:50,240
Speaker 1: whole new model of organizing. It previously been just widely

1224
01:01:50,280 --> 01:01:53,000
Speaker 1: accepted that retail and food service was just too difficult

1225
01:01:53,000 --> 01:01:55,400
Speaker 1: to organize because you have to go store by store

1226
01:01:55,440 --> 01:01:58,960
Speaker 1: by store, and because turnover is ultimately so high. This

1227
01:01:59,040 --> 01:02:02,480
Speaker 1: wave of organizing disproved that whole theory, and workers at

1228
01:02:02,480 --> 01:02:05,880
Speaker 1: other fast food and retail outlets they took note Potee workers,

1229
01:02:05,960 --> 01:02:09,840
Speaker 1: unionized a REI employees, Apple workers, Verizon workers, and a

1230
01:02:09,840 --> 01:02:12,440
Speaker 1: whole lot more. Besides, the service sector is one of

1231
01:02:12,480 --> 01:02:15,160
Speaker 1: the largest and fastest growing parts of our economy. If

1232
01:02:15,200 --> 01:02:18,240
Speaker 1: we could turn these jobs from being low wage, precarious,

1233
01:02:18,320 --> 01:02:21,840
Speaker 1: filled with indignity into solid middle class jobs, that would

1234
01:02:21,880 --> 01:02:25,480
Speaker 1: be a whole revolution, and unionizing is the first step

1235
01:02:25,560 --> 01:02:28,680
Speaker 1: to that transformation. Bruning pulled another stat for his piece

1236
01:02:28,720 --> 01:02:30,960
Speaker 1: on Starbucks that actually leads me to my next big

1237
01:02:31,040 --> 01:02:34,040
Speaker 1: labor movement of the year. So, the Starbucks union filed

1238
01:02:34,200 --> 01:02:38,040
Speaker 1: four five hundred and forty eight charges against Starbucks for

1239
01:02:38,080 --> 01:02:41,680
Speaker 1: their illegal union busting efforts, including firing and intimidating workers,

1240
01:02:42,640 --> 01:02:45,240
Speaker 1: and in a big break from the past, those claims

1241
01:02:45,280 --> 01:02:48,880
Speaker 1: are actually being received by a worker friendly National Labor

1242
01:02:48,960 --> 01:02:53,560
Speaker 1: Relations Board. So listen, the NLRB is underfunded, they're understaffed,

1243
01:02:53,600 --> 01:02:55,400
Speaker 1: and they've been slow to act in areas where it

1244
01:02:55,440 --> 01:02:58,480
Speaker 1: could make a real difference. But the difference between this

1245
01:02:58,640 --> 01:03:01,640
Speaker 1: NLRB and the Trump nally is night and day. And

1246
01:03:01,680 --> 01:03:04,520
Speaker 1: the general counsel at the Helm, Jennifer Bruzzo, is an

1247
01:03:04,680 --> 01:03:07,640
Speaker 1: ardent supporter of labor who has taken some truly transformational

1248
01:03:07,680 --> 01:03:11,600
Speaker 1: steps towards making the law more hospitable towards worker rights.

1249
01:03:11,800 --> 01:03:14,400
Speaker 1: Let me give you just a few of them. This week,

1250
01:03:14,520 --> 01:03:18,560
Speaker 1: acting upon her recommendation, the NLRB just ruled that when

1251
01:03:18,600 --> 01:03:22,880
Speaker 1: workers are illegally fired or demoted for union activity, employers

1252
01:03:22,960 --> 01:03:25,200
Speaker 1: will be required to not only pay back lost wages,

1253
01:03:25,360 --> 01:03:27,560
Speaker 1: but also they're going to have to compensate them for

1254
01:03:27,840 --> 01:03:31,400
Speaker 1: all other associated costs, things like childcare, healthcare, late fees

1255
01:03:31,440 --> 01:03:34,520
Speaker 1: on credit cards, legal fees for defending against unpaid bills, etc.

1256
01:03:35,200 --> 01:03:38,040
Speaker 1: That ruling will make penalties on union investors sting just

1257
01:03:38,120 --> 01:03:41,240
Speaker 1: a little bit more and help to make those workers whole.

1258
01:03:41,520 --> 01:03:44,400
Speaker 1: But that is not all. Brusso also instructed the NLRB

1259
01:03:44,520 --> 01:03:48,360
Speaker 1: to consider captive audience meetings, in which employees are forced

1260
01:03:48,400 --> 01:03:51,320
Speaker 1: to listen to corporate anti union propaganda while they are

1261
01:03:51,360 --> 01:03:53,960
Speaker 1: at work. She wants them to consider those to be

1262
01:03:54,040 --> 01:03:57,439
Speaker 1: a violation of the National Labor Relations Act. Now, these

1263
01:03:57,480 --> 01:04:00,800
Speaker 1: meetings have been the backbone of every modern anti union efforts.

1264
01:04:00,800 --> 01:04:04,800
Speaker 1: To making them illegal, that would be a major step forward. Finally,

1265
01:04:04,920 --> 01:04:07,560
Speaker 1: and most radically, a Bruzzo is looking to reinstate the

1266
01:04:07,680 --> 01:04:11,280
Speaker 1: so called Joysilk doctrine, which would make it far easier

1267
01:04:11,280 --> 01:04:14,080
Speaker 1: for workers to be able to unionize in the first place.

1268
01:04:14,440 --> 01:04:16,400
Speaker 1: I'm not going to go into all the details, but

1269
01:04:16,480 --> 01:04:19,200
Speaker 1: the top line here is that Joy Silk help. If

1270
01:04:19,200 --> 01:04:22,160
Speaker 1: a majority of workers sign a card and indicate they

1271
01:04:22,200 --> 01:04:24,640
Speaker 1: want to join a union, the burden is then on

1272
01:04:24,720 --> 01:04:28,240
Speaker 1: the employer to prove in good faith that a majority

1273
01:04:28,240 --> 01:04:31,200
Speaker 1: of workers do not in fact want to unionize, even

1274
01:04:31,200 --> 01:04:34,200
Speaker 1: after a majority assigned the cards. Joy Silk was critical

1275
01:04:34,280 --> 01:04:37,600
Speaker 1: in helping to even the playing field between unions and bosses.

1276
01:04:37,920 --> 01:04:40,440
Speaker 1: So for a fourth revolutionary moment, there has been a

1277
01:04:40,640 --> 01:04:44,480
Speaker 1: massive wave of democratic reform sweeping unions. Because listen, not

1278
01:04:44,520 --> 01:04:47,320
Speaker 1: all unions are created equal. Some are beset by leadership

1279
01:04:47,320 --> 01:04:49,640
Speaker 1: that has grown closer to the boss class than to

1280
01:04:49,720 --> 01:04:52,720
Speaker 1: their own membership. That's why it's been thrilling to watch

1281
01:04:52,760 --> 01:04:55,760
Speaker 1: the success of a number of reform movements at major unions.

1282
01:04:55,880 --> 01:04:59,160
Speaker 1: Just this year, at the Teamsters, members who were disgusted

1283
01:04:59,360 --> 01:05:03,520
Speaker 1: with Jimmy Hawk Junior's capitulation to ups rejected his hand

1284
01:05:03,560 --> 01:05:06,560
Speaker 1: picked successors in favor of a new, more militant team.

1285
01:05:06,960 --> 01:05:09,560
Speaker 1: Sean O'Brien was sworn in in March as the president

1286
01:05:09,600 --> 01:05:12,280
Speaker 1: of the International Brotherhood of Teamsters, and he is already

1287
01:05:12,320 --> 01:05:15,960
Speaker 1: taking on some major fights. In fact, he won his

1288
01:05:16,080 --> 01:05:19,320
Speaker 1: campaign for president of this major union on a promise

1289
01:05:19,360 --> 01:05:22,400
Speaker 1: to be more adversarial towards the largest single employer of

1290
01:05:22,400 --> 01:05:25,560
Speaker 1: the Teamsters ups That contract is up next year and

1291
01:05:25,680 --> 01:05:28,680
Speaker 1: a strike is absolutely on the table, so keep your

1292
01:05:28,720 --> 01:05:32,360
Speaker 1: eyes on that one. Meanwhile, over at the United Auto Workers,

1293
01:05:32,440 --> 01:05:35,520
Speaker 1: members took advantage of their first ever opportunity to directly

1294
01:05:35,560 --> 01:05:39,080
Speaker 1: elect leadership by backing a reformed slate of candidates nearly

1295
01:05:39,160 --> 01:05:43,600
Speaker 1: across the board, stunning rejection of the one party, top

1296
01:05:43,600 --> 01:05:45,919
Speaker 1: down control that workers at that union had suffered under

1297
01:05:46,080 --> 01:05:49,680
Speaker 1: for years. With workers voting both for more democracy and

1298
01:05:49,760 --> 01:05:53,280
Speaker 1: for that more aggressive, more militant approach, even the incumbent

1299
01:05:53,360 --> 01:05:56,480
Speaker 1: president there may ultimately fall. It's going to a runoff

1300
01:05:56,480 --> 01:06:01,360
Speaker 1: in January. Finally, railroaders are not nearly done fighting after

1301
01:06:01,400 --> 01:06:04,200
Speaker 1: being betrayed by Democrats and by the way, by their

1302
01:06:04,240 --> 01:06:08,480
Speaker 1: own union leaders in a stunning upset rank and file members.

1303
01:06:08,800 --> 01:06:11,080
Speaker 1: Just as to the leader of one of the largest

1304
01:06:11,240 --> 01:06:14,400
Speaker 1: rail unions, the twenty eight thousand members strong bl E

1305
01:06:14,480 --> 01:06:17,640
Speaker 1: t now, this vote was a direct rejection of leadership's

1306
01:06:17,680 --> 01:06:20,360
Speaker 1: willingness to strike a bargain with rail bosses that failed

1307
01:06:20,400 --> 01:06:23,680
Speaker 1: to include the basic living condition improvements that workers so

1308
01:06:23,800 --> 01:06:27,800
Speaker 1: desperately need. But no year of the worker would be

1309
01:06:27,840 --> 01:06:31,600
Speaker 1: complete without workers taking action together, putting it all on

1310
01:06:31,680 --> 01:06:34,640
Speaker 1: the line and wielding what is ultimately their greatest weapon,

1311
01:06:34,880 --> 01:06:37,680
Speaker 1: their labor, as a way to fight back directly against

1312
01:06:37,720 --> 01:06:40,440
Speaker 1: the boss class. And this year had no shortage of

1313
01:06:40,480 --> 01:06:43,520
Speaker 1: workers taking to the streets to demand a fair deal.

1314
01:06:44,000 --> 01:06:47,160
Speaker 1: We had over one thousand UAW members out on strike

1315
01:06:47,280 --> 01:06:49,960
Speaker 1: right now at CNH Industrial as that company breaks in

1316
01:06:50,040 --> 01:06:53,680
Speaker 1: record profits. UFCW grocery workers at King Sooper's one big

1317
01:06:53,720 --> 01:06:55,760
Speaker 1: wage in healthcare gains. Early in the year, after a

1318
01:06:55,760 --> 01:06:59,480
Speaker 1: successful strike, frontline medical workers took the streets to mental

1319
01:06:59,480 --> 01:07:02,840
Speaker 1: health workers in California, nurses in Minnesota, and our dear

1320
01:07:02,880 --> 01:07:07,800
Speaker 1: friends at Warrior met Cole continued there now multi year strike.

1321
01:07:08,320 --> 01:07:10,640
Speaker 1: Extra solidarity to them as we head now into the

1322
01:07:10,640 --> 01:07:14,760
Speaker 1: holiday season. Listen. All in all, and estimated two hundred

1323
01:07:14,880 --> 01:07:18,400
Speaker 1: thousand workers went out on strike this year with holding

1324
01:07:18,400 --> 01:07:20,600
Speaker 1: their labor to try to get a fair deal at

1325
01:07:20,600 --> 01:07:24,560
Speaker 1: a time of mounting inflation, corporate price gouging, and record profits.

1326
01:07:24,600 --> 01:07:28,520
Speaker 1: Now Listen, this is necessarily an incomplete list, it's just

1327
01:07:28,680 --> 01:07:30,959
Speaker 1: a start. Also in terms of where the labor movement

1328
01:07:31,000 --> 01:07:33,400
Speaker 1: needs to go. It is going to take a long

1329
01:07:33,480 --> 01:07:36,160
Speaker 1: time for labor to climb back out of its multi

1330
01:07:36,240 --> 01:07:40,480
Speaker 1: decade decline. But if you ask me what I'm optimistic

1331
01:07:40,520 --> 01:07:43,680
Speaker 1: about for twenty twenty three and for beyond this, right here,

1332
01:07:43,800 --> 01:07:45,960
Speaker 1: this is it, especially when you consider the way that

1333
01:07:46,000 --> 01:07:49,840
Speaker 1: the American people consistently backed labor at every single chance

1334
01:07:49,880 --> 01:07:52,760
Speaker 1: when they were given it this year. So, knowing that

1335
01:07:52,800 --> 01:07:56,000
Speaker 1: there's still a long way to go here, here's to

1336
01:07:56,040 --> 01:07:58,800
Speaker 1: the many fights and struggles to come and always to

1337
01:07:58,880 --> 01:08:02,320
Speaker 1: solidarity forever. So Sager, it is my big recap of

1338
01:08:02,360 --> 01:08:04,560
Speaker 1: the year. Didn't want us to lose sight of how

1339
01:08:04,560 --> 01:08:07,240
Speaker 1: many gains were ultimately made, because remember last year were

1340
01:08:07,320 --> 01:08:10,040
Speaker 1: And if you want to hear my reaction to Crystal's monologue,

1341
01:08:10,040 --> 01:08:16,599
Speaker 1: become a premium subscriber today at Breakingpoints dot Com. Matt tyeby,

1342
01:08:16,640 --> 01:08:19,040
Speaker 1: always a pleasure to see you, sir. Good to see

1343
01:08:19,080 --> 01:08:23,840
Speaker 1: you as well. So I was wondering from you now

1344
01:08:23,840 --> 01:08:27,120
Speaker 1: that we've had you know, your pieces come out, Shallenberger's

1345
01:08:27,120 --> 01:08:30,080
Speaker 1: pieces come out, Barry's pieces come out? What did you

1346
01:08:30,200 --> 01:08:34,799
Speaker 1: think was the sort of most significant, most troubling, most

1347
01:08:34,880 --> 01:08:38,240
Speaker 1: interesting revelations that came out of the quote unquote Twitter files.

1348
01:08:39,840 --> 01:08:44,480
Speaker 1: I think there are two things that are the most significant.

1349
01:08:46,120 --> 01:08:50,800
Speaker 1: Probably the first one is what happened what Barry did

1350
01:08:50,800 --> 01:08:55,400
Speaker 1: in her first thread, which basically just confirmed what everybody knew,

1351
01:08:55,560 --> 01:09:00,360
Speaker 1: but revealed concretely that that you know that they there

1352
01:09:00,400 --> 01:09:04,080
Speaker 1: is such a thing as shadow banning, and not only

1353
01:09:04,160 --> 01:09:08,240
Speaker 1: does it exist, but they have an extraordinarily idiosyncratic system

1354
01:09:08,640 --> 01:09:13,240
Speaker 1: that basically allows these companies to have virtually unlimited control

1355
01:09:13,280 --> 01:09:17,439
Speaker 1: over the visibility of any account, person, hashtag anything. They

1356
01:09:17,439 --> 01:09:20,600
Speaker 1: can dial it down all the way to zero, you

1357
01:09:20,640 --> 01:09:23,720
Speaker 1: can't be searched, and all the way up to amplify

1358
01:09:23,840 --> 01:09:26,880
Speaker 1: to the max. And she showed that, you know, the

1359
01:09:26,920 --> 01:09:33,120
Speaker 1: screenshots of things like Trends Blacklist. It's incontrovertible proof. The

1360
01:09:33,160 --> 01:09:35,320
Speaker 1: other thing, though, the thing that turns me on about

1361
01:09:35,320 --> 01:09:41,520
Speaker 1: this story, is the proof now in writing that the government,

1362
01:09:41,920 --> 01:09:45,800
Speaker 1: you know, specifically agencies like the FBI and the DHS,

1363
01:09:46,200 --> 01:09:51,120
Speaker 1: are not just generally making recommendations about content moderation, they

1364
01:09:51,200 --> 01:09:54,719
Speaker 1: are doing it at a micro level, Like we're seeing

1365
01:09:55,240 --> 01:09:59,280
Speaker 1: tons and tons and tons of these communications that say

1366
01:09:59,280 --> 01:10:03,040
Speaker 1: the FBI this the DHS flag that they are buying

1367
01:10:03,160 --> 01:10:07,400
Speaker 1: information in bulk, analyzing it, flagging it, sending it back

1368
01:10:07,439 --> 01:10:11,479
Speaker 1: to companies like Twitter for moderation. And there's no question

1369
01:10:11,520 --> 01:10:14,479
Speaker 1: they're doing that. They're not doing it in pursuit of

1370
01:10:14,840 --> 01:10:17,720
Speaker 1: charging a crime. They're doing it because they are in

1371
01:10:18,160 --> 01:10:22,960
Speaker 1: the censorship business. See completely agree. We highlighted the yol

1372
01:10:23,040 --> 01:10:26,559
Speaker 1: Roth meetings with the FBI, the weekly meetings in many

1373
01:10:26,600 --> 01:10:29,559
Speaker 1: of these cases with these security agencies. That seem to

1374
01:10:29,560 --> 01:10:32,280
Speaker 1: be one of the biggest takeaways there from the story.

1375
01:10:32,360 --> 01:10:34,719
Speaker 1: On top of that, Matt, you got a tremendous amount

1376
01:10:34,720 --> 01:10:38,320
Speaker 1: of color. What was it like wading through their communications

1377
01:10:38,479 --> 01:10:41,679
Speaker 1: of just how capricious the nature of all the decision

1378
01:10:41,680 --> 01:10:44,040
Speaker 1: making inside the company was. Did it astonish you or

1379
01:10:44,040 --> 01:10:48,360
Speaker 1: did it just confirm what you thought? I think it's astonishing.

1380
01:10:48,880 --> 01:10:52,880
Speaker 1: I think it speaks to probably some group thing sets in,

1381
01:10:54,080 --> 01:10:55,960
Speaker 1: you know, in any environment where a bunch of people

1382
01:10:56,000 --> 01:10:59,200
Speaker 1: are doing the same job and you get in or

1383
01:10:59,439 --> 01:11:02,640
Speaker 1: to kind of the morality of what you're doing. You

1384
01:11:02,680 --> 01:11:06,080
Speaker 1: see all these communications where somebody says, oh, we got

1385
01:11:06,120 --> 01:11:09,240
Speaker 1: a flag from the state of California by way of

1386
01:11:09,280 --> 01:11:13,519
Speaker 1: the Stanford Election Integrity Project, let's see, why don't we

1387
01:11:14,080 --> 01:11:19,439
Speaker 1: bounce that for twelve days and then reduce visibility part way,

1388
01:11:20,120 --> 01:11:23,440
Speaker 1: you know what I mean, Like they're making these decisions

1389
01:11:23,479 --> 01:11:27,320
Speaker 1: about you know, how much people can see, you know,

1390
01:11:27,400 --> 01:11:30,880
Speaker 1: a certain piece of information, and they're doing it in

1391
01:11:30,960 --> 01:11:34,599
Speaker 1: split seconds based on almost nothing. You know. Sometimes we

1392
01:11:34,640 --> 01:11:37,840
Speaker 1: see Roth doing like a Google search where he sees

1393
01:11:37,840 --> 01:11:40,880
Speaker 1: an NPR article for you know, a few minutes and

1394
01:11:40,920 --> 01:11:45,040
Speaker 1: then makes a decision. That's crazy to me. The arrogance

1395
01:11:45,080 --> 01:11:48,519
Speaker 1: of that is unbelievable. I think. You know, one thing

1396
01:11:48,560 --> 01:11:50,760
Speaker 1: that Sager actually brought up when we were talking about

1397
01:11:50,760 --> 01:11:53,839
Speaker 1: this piece of the government involvement is that it seems

1398
01:11:53,880 --> 01:11:57,200
Speaker 1: like a lot of these tools in this interaction was

1399
01:11:57,200 --> 01:12:00,200
Speaker 1: developed during the War on Terror, and there there was

1400
01:12:00,240 --> 01:12:03,759
Speaker 1: a lot of support and almost no pushback about them,

1401
01:12:03,880 --> 01:12:06,679
Speaker 1: you know, interfacing with Twitter and other social media outlet's

1402
01:12:06,720 --> 01:12:10,240
Speaker 1: to say, hey, pull down this like isis propagandist or

1403
01:12:10,240 --> 01:12:12,439
Speaker 1: this al Qaeda dude or whatever, like let's get these

1404
01:12:12,439 --> 01:12:15,200
Speaker 1: people off the platform. But it's a real lesson in

1405
01:12:15,240 --> 01:12:18,559
Speaker 1: the way that once those tools and that power is

1406
01:12:18,640 --> 01:12:22,160
Speaker 1: made available to these agencies, they don't stop and limit

1407
01:12:22,200 --> 01:12:26,440
Speaker 1: themselves to that one area. So as you know, administrations

1408
01:12:26,439 --> 01:12:28,439
Speaker 1: have moved forward, they have continued, it seems to me

1409
01:12:28,479 --> 01:12:30,240
Speaker 1: and I wonder if this is your impression as well,

1410
01:12:30,360 --> 01:12:34,320
Speaker 1: to just continue to expand their intrusion and expand go

1411
01:12:34,360 --> 01:12:36,200
Speaker 1: from war on tarrata, Okay, now we don't like this

1412
01:12:36,320 --> 01:12:39,200
Speaker 1: type of actor. Now we don't like that type of speech,

1413
01:12:39,479 --> 01:12:42,240
Speaker 1: and wade into more and more sort of controversial and

1414
01:12:42,280 --> 01:12:47,760
Speaker 1: fraught areas as they move forward. Yeah. Absolutely, you can

1415
01:12:47,800 --> 01:12:54,280
Speaker 1: actually see the whole progression of what they began with

1416
01:12:54,439 --> 01:12:56,600
Speaker 1: in terms of what their mission was on the on

1417
01:12:56,680 --> 01:13:01,080
Speaker 1: the moderation front, and then where it's ended up. You know,

1418
01:13:01,360 --> 01:13:05,799
Speaker 1: later today you're going to be seeing some material talking

1419
01:13:05,840 --> 01:13:11,040
Speaker 1: about how they deliver certain information to one agency and

1420
01:13:11,560 --> 01:13:16,080
Speaker 1: but more serious information for instance, to like the Pentagon, right,

1421
01:13:17,000 --> 01:13:20,759
Speaker 1: And that's probably a holdover from the War on Terror,

1422
01:13:20,800 --> 01:13:26,400
Speaker 1: when you know, the DoD was probably asking companies like

1423
01:13:26,439 --> 01:13:30,200
Speaker 1: Twitter for information about certain actors abroad and they were

1424
01:13:30,240 --> 01:13:32,360
Speaker 1: just giving it to them, right like that. That's kind

1425
01:13:32,360 --> 01:13:34,759
Speaker 1: of how that system worked, whether it was through FIZA,

1426
01:13:34,880 --> 01:13:37,799
Speaker 1: national security letters, whatever, they could get whatever they wanted.

1427
01:13:38,360 --> 01:13:41,920
Speaker 1: But you see that they've massively expanded the mission, and

1428
01:13:42,000 --> 01:13:44,920
Speaker 1: I think it was critical twenty sixteen was critical here

1429
01:13:45,320 --> 01:13:50,639
Speaker 1: because after that they argued the foreign interference issue gave

1430
01:13:50,720 --> 01:13:55,840
Speaker 1: them the license to start doing it on a much

1431
01:13:55,920 --> 01:13:59,360
Speaker 1: grander scale than the after nine to eleven. And you

1432
01:13:59,479 --> 01:14:02,439
Speaker 1: see that everywhere as well, even in something that like

1433
01:14:02,840 --> 01:14:09,120
Speaker 1: is seemingly you know, partisan, as they're on our Biden decision.

1434
01:14:10,640 --> 01:14:13,640
Speaker 1: Lurking in the background of that is this fear that

1435
01:14:13,800 --> 01:14:16,160
Speaker 1: somehow the Russians are involved, so we have to do

1436
01:14:16,200 --> 01:14:19,280
Speaker 1: this or that. That's part of a lot of these discussions.

1437
01:14:19,520 --> 01:14:22,880
Speaker 1: Uh and and I think that's the justification for them

1438
01:14:22,920 --> 01:14:28,519
Speaker 1: getting down to I mean, they're they're moderating tweets that

1439
01:14:28,600 --> 01:14:31,479
Speaker 1: have like almost no engagement two followers, you know what

1440
01:14:31,520 --> 01:14:34,000
Speaker 1: I'm saying, Like that that was so crazy that that's

1441
01:14:34,280 --> 01:14:37,000
Speaker 1: incredibly comprehensive. Yeah, And when we look at that, I mean,

1442
01:14:37,200 --> 01:14:39,680
Speaker 1: especially when I saw the FBI flagging specific tweets and

1443
01:14:39,680 --> 01:14:42,400
Speaker 1: they're like, FBI flagged this as if that means that

1444
01:14:42,400 --> 01:14:44,559
Speaker 1: they're supposed to be called to action. That shows you

1445
01:14:44,600 --> 01:14:47,360
Speaker 1: the apparatus has long been built. I mean, do we

1446
01:14:47,439 --> 01:14:51,280
Speaker 1: have any insight into any further apparatuses that were built

1447
01:14:51,320 --> 01:14:54,559
Speaker 1: post January sixth Some most of what you guys have

1448
01:14:54,640 --> 01:14:57,000
Speaker 1: focused on or released so far has been in the

1449
01:14:57,040 --> 01:15:01,160
Speaker 1: immediate aftermath, but the Biden administration collab opiration post period

1450
01:15:01,160 --> 01:15:02,720
Speaker 1: has not yet been explored. Do you guys have any

1451
01:15:02,720 --> 01:15:06,200
Speaker 1: plans to release anything on that front. Yeah, we're looking

1452
01:15:06,240 --> 01:15:10,080
Speaker 1: at that right now. I mean we've we've our methods

1453
01:15:10,080 --> 01:15:12,559
Speaker 1: of searching have kind of gone in different directions, and

1454
01:15:13,720 --> 01:15:17,880
Speaker 1: our access has been kind of changed over time as

1455
01:15:17,920 --> 01:15:21,559
Speaker 1: we've refined this process. But we're but they're back up

1456
01:15:21,600 --> 01:15:25,519
Speaker 1: and searching now, and uh, yeah, we're what I think

1457
01:15:25,560 --> 01:15:30,000
Speaker 1: some of us, you know, myself in particular, maybe a

1458
01:15:30,040 --> 01:15:33,639
Speaker 1: couple of others, we're really trying to do is map

1459
01:15:33,680 --> 01:15:39,000
Speaker 1: out exactly where all that flagging comes out of the

1460
01:15:39,000 --> 01:15:42,040
Speaker 1: government and how it comes back to companies like Twitter.

1461
01:15:42,439 --> 01:15:44,519
Speaker 1: And one of the things that's fascinating is that there's

1462
01:15:44,560 --> 01:15:48,519
Speaker 1: just so many entry points for these you know this

1463
01:15:48,760 --> 01:15:51,799
Speaker 1: like FBI flag material. It might go directly to Twitter.

1464
01:15:52,160 --> 01:15:54,559
Speaker 1: It might go via somebody they know at the company,

1465
01:15:54,720 --> 01:15:57,960
Speaker 1: like you know, the former general counsel there. It might go.

1466
01:15:59,640 --> 01:16:02,960
Speaker 1: It might and bulk, you know, the FBI sends bulk

1467
01:16:03,040 --> 01:16:06,880
Speaker 1: requests for possible violative content. It might go through the

1468
01:16:06,920 --> 01:16:11,600
Speaker 1: Stanford Project. It might go through the Atlantic Council. There's

1469
01:16:11,680 --> 01:16:16,679
Speaker 1: a whole sort of geography of speech suppression that we're

1470
01:16:16,680 --> 01:16:19,280
Speaker 1: just learning a lot more about every day. Matt, can

1471
01:16:19,320 --> 01:16:21,240
Speaker 1: you talk a little bit more about the process, because

1472
01:16:21,240 --> 01:16:23,439
Speaker 1: there have been a lot of like questions about how

1473
01:16:23,479 --> 01:16:25,680
Speaker 1: this unfolded. You just made a reference to like our

1474
01:16:25,760 --> 01:16:28,559
Speaker 1: access has changed, So how how have you been working,

1475
01:16:28,640 --> 01:16:31,800
Speaker 1: what has that all been like, and what did you

1476
01:16:31,840 --> 01:16:34,800
Speaker 1: make of Jack Dorsey At one point, of course, former

1477
01:16:34,840 --> 01:16:37,720
Speaker 1: head of Twitter had suggested that, hey, they should just

1478
01:16:37,760 --> 01:16:40,720
Speaker 1: make all of these files public and then journalists can

1479
01:16:40,720 --> 01:16:43,599
Speaker 1: sort through them independent or otherwise make of them what

1480
01:16:43,640 --> 01:16:47,960
Speaker 1: they will. What do you think of that suggestion? Well,

1481
01:16:48,439 --> 01:16:53,519
Speaker 1: we're caught between basically two different kinds of criticisms. One

1482
01:16:53,720 --> 01:16:56,920
Speaker 1: one is saying you should release all of it, and

1483
01:16:56,520 --> 01:17:00,280
Speaker 1: I have some sympathy for that, right, Like I was

1484
01:17:00,280 --> 01:17:04,400
Speaker 1: a supporter of Wiki leaks, and you know that approach

1485
01:17:04,439 --> 01:17:07,559
Speaker 1: is something that I that I understand. On the other hand,

1486
01:17:07,600 --> 01:17:11,560
Speaker 1: we're taking tons of flak for releasing people's personal information,

1487
01:17:11,720 --> 01:17:15,439
Speaker 1: even just names of people who were known to work

1488
01:17:15,439 --> 01:17:19,400
Speaker 1: at the company, And so you never know when you're

1489
01:17:19,400 --> 01:17:22,120
Speaker 1: going to release a gigantic data set, whether you know

1490
01:17:22,160 --> 01:17:25,599
Speaker 1: there's something in there that's going to trigger litigation or

1491
01:17:25,720 --> 01:17:27,960
Speaker 1: you know, like that that's one of the reasons why

1492
01:17:27,960 --> 01:17:31,400
Speaker 1: you want to do it this way. I would argue

1493
01:17:31,439 --> 01:17:34,400
Speaker 1: that I think a good thing would be for journalists

1494
01:17:34,479 --> 01:17:38,519
Speaker 1: to at least take a first pass at identifying some

1495
01:17:38,600 --> 01:17:43,000
Speaker 1: of the key issues and then you know, you know,

1496
01:17:43,040 --> 01:17:46,000
Speaker 1: I'm not I'm not opposed to that concept in general.

1497
01:17:46,960 --> 01:17:50,320
Speaker 1: I think it's an interesting criticism, but I do think

1498
01:17:50,360 --> 01:17:53,599
Speaker 1: you have to take into consideration the other the other

1499
01:17:53,640 --> 01:17:56,760
Speaker 1: thing as well. Yeah, I think that's totally fair. I mean, look,

1500
01:17:56,760 --> 01:17:59,080
Speaker 1: it's your scoop. You guys could obviously the first pass.

1501
01:17:59,360 --> 01:18:01,920
Speaker 1: That really my final question is how much more do

1502
01:18:01,960 --> 01:18:04,360
Speaker 1: you guys anticipate on going through and then even more

1503
01:18:04,400 --> 01:18:07,160
Speaker 1: so on the process, Like is it a searchable archive?

1504
01:18:07,240 --> 01:18:09,320
Speaker 1: From what I've seen, it's a lot of screenshots, so

1505
01:18:09,360 --> 01:18:11,280
Speaker 1: it must take a tremendous amount of research and just

1506
01:18:11,280 --> 01:18:14,519
Speaker 1: like sifting through to even find the biggest stories. Many

1507
01:18:14,520 --> 01:18:17,679
Speaker 1: people are curious. That's the only reason I'm asking. Yeah,

1508
01:18:17,720 --> 01:18:19,599
Speaker 1: it's kind of hard to describe. I mean, I think

1509
01:18:19,720 --> 01:18:21,479
Speaker 1: I'd be talking out of school if I got into

1510
01:18:21,520 --> 01:18:24,640
Speaker 1: it too much. But I think people had this impression

1511
01:18:24,640 --> 01:18:26,479
Speaker 1: that we were sitting in front of a terminal and

1512
01:18:26,520 --> 01:18:32,040
Speaker 1: just had global access to every single document in Twitter's history.

1513
01:18:32,080 --> 01:18:36,479
Speaker 1: It wasn't like that. It's gone through multiple iterations. The

1514
01:18:36,520 --> 01:18:41,120
Speaker 1: first way that we did this involved a process that

1515
01:18:41,160 --> 01:18:43,559
Speaker 1: we discovered was flawed. I mean, as you know, there

1516
01:18:44,960 --> 01:18:49,479
Speaker 1: was somebody fired as a result of that, because the

1517
01:18:49,600 --> 01:18:52,559
Speaker 1: former deputy general counsel of the company was reviewing the

1518
01:18:52,640 --> 01:18:58,639
Speaker 1: material without our knowledge. Then there was another period where

1519
01:18:58,680 --> 01:19:02,040
Speaker 1: we were looking basically at a period of time because

1520
01:19:02,080 --> 01:19:06,120
Speaker 1: we wanted to investigate one story, which was how was

1521
01:19:06,120 --> 01:19:10,120
Speaker 1: Donald Trump banned. I figured we would see a lot

1522
01:19:10,160 --> 01:19:14,040
Speaker 1: of evidence of kind of government discussion there. That was

1523
01:19:14,080 --> 01:19:17,120
Speaker 1: one of the reasons I was interested in that. But

1524
01:19:17,240 --> 01:19:19,080
Speaker 1: so we had we only had a chunk of time

1525
01:19:20,200 --> 01:19:23,960
Speaker 1: and certain slack channels that we were looking at. There.

1526
01:19:24,920 --> 01:19:27,280
Speaker 1: Then we had some technical problems, and now we're back

1527
01:19:27,360 --> 01:19:29,799
Speaker 1: up again and I'm actually not in the room. I'm

1528
01:19:29,840 --> 01:19:31,479
Speaker 1: on the other side of the country at the moment.

1529
01:19:31,800 --> 01:19:36,080
Speaker 1: One other question for you, Matt is you know, every

1530
01:19:36,160 --> 01:19:39,960
Speaker 1: almost every source in journalism has some sort of an

1531
01:19:40,000 --> 01:19:43,080
Speaker 1: agenda for why they're giving you the information. So the

1532
01:19:43,080 --> 01:19:45,400
Speaker 1: fact that Elon has an agenda here is not in

1533
01:19:45,439 --> 01:19:48,400
Speaker 1: any way disqualifying. But given that you're sort of dependent

1534
01:19:48,479 --> 01:19:53,280
Speaker 1: on him and his process for what documents are ultimately

1535
01:19:53,320 --> 01:19:56,960
Speaker 1: able to review, how have you been able to ease

1536
01:19:56,960 --> 01:20:00,759
Speaker 1: your own concerns that what you're looking at is somehow

1537
01:20:00,840 --> 01:20:08,040
Speaker 1: cherry picked or skewed or selective versus a more complete picture. Well,

1538
01:20:08,160 --> 01:20:10,840
Speaker 1: I mean, the minute I get the indication that I'm

1539
01:20:10,840 --> 01:20:14,960
Speaker 1: being played or something like that, I'll, of course, you know,

1540
01:20:15,120 --> 01:20:17,719
Speaker 1: jump out of the airplane. I mean, but I haven't

1541
01:20:17,760 --> 01:20:20,479
Speaker 1: seen that at all. I've had no indication of that.

1542
01:20:21,760 --> 01:20:25,559
Speaker 1: I look, people keep bringing this question up. We know

1543
01:20:25,600 --> 01:20:27,679
Speaker 1: you're doing pr for the richest man in the world.

1544
01:20:27,840 --> 01:20:30,479
Speaker 1: What about his motives? Blah blah blah, and you know,

1545
01:20:30,600 --> 01:20:33,800
Speaker 1: like it doesn't matter. Like journalists, we don't care where

1546
01:20:33,800 --> 01:20:38,400
Speaker 1: the information comes from. If it's true, we want to

1547
01:20:38,439 --> 01:20:40,200
Speaker 1: look at it. I know what my motives are. My

1548
01:20:40,320 --> 01:20:43,559
Speaker 1: motives are I'm looking at like I'm getting, you know,

1549
01:20:44,000 --> 01:20:49,479
Speaker 1: a unique look into the underbelly of how censorship works

1550
01:20:49,520 --> 01:20:54,400
Speaker 1: in this country and how the FBI, the DHS, you know,

1551
01:20:54,479 --> 01:20:58,599
Speaker 1: the Pentagon, like all of these institutions and how they

1552
01:20:58,680 --> 01:21:02,680
Speaker 1: operate in secret. That's an incredible opportunity. And I know

1553
01:21:03,040 --> 01:21:07,320
Speaker 1: what I'm looking for, so it doesn't. I guess that

1554
01:21:07,479 --> 01:21:12,519
Speaker 1: there might be motives that he might have, but that

1555
01:21:12,560 --> 01:21:16,800
Speaker 1: doesn't matter for the integrity of the project. All we

1556
01:21:16,880 --> 01:21:18,640
Speaker 1: have to do is make sure that the stuff that

1557
01:21:18,680 --> 01:21:22,880
Speaker 1: we're looking at is true and accurate, and that we're

1558
01:21:22,920 --> 01:21:26,280
Speaker 1: drawing the correct conclusions from them. Absolutely. My final question

1559
01:21:26,320 --> 01:21:30,000
Speaker 1: to you, Matt is about the media coverage, Like, how

1560
01:21:30,040 --> 01:21:32,439
Speaker 1: what have you made of the response to this? It

1561
01:21:32,520 --> 01:21:34,200
Speaker 1: used to be something like this would have been covered

1562
01:21:34,439 --> 01:21:36,559
Speaker 1: all six networks. From what I have seen so far,

1563
01:21:36,640 --> 01:21:39,000
Speaker 1: there's only been one segment on any of the major

1564
01:21:39,040 --> 01:21:41,800
Speaker 1: television networks on this entire thing. To the extent that

1565
01:21:41,840 --> 01:21:44,280
Speaker 1: they have covered in the mainstream press, they've smeared you

1566
01:21:44,320 --> 01:21:47,040
Speaker 1: as a quote conservative journalist, which is of course ridiculous.

1567
01:21:47,160 --> 01:21:49,519
Speaker 1: If you know anything about your career, has it been

1568
01:21:49,520 --> 01:21:52,040
Speaker 1: astonishing or I mean, look, we're all kind of in

1569
01:21:52,080 --> 01:21:56,479
Speaker 1: this school together. It didn't really surprise me, even though

1570
01:21:56,479 --> 01:21:58,160
Speaker 1: I'm repulsed by it. But I guess it's just like

1571
01:21:58,200 --> 01:22:02,280
Speaker 1: a long standing repulsion. What do you think. I mean,

1572
01:22:02,280 --> 01:22:06,000
Speaker 1: it's just funny, right, It's hard to take it any

1573
01:22:06,040 --> 01:22:13,760
Speaker 1: other way. Look, I think the clearest subtext of this

1574
01:22:14,040 --> 01:22:17,320
Speaker 1: entire project is kind of a burn on traditional media.

1575
01:22:17,479 --> 01:22:21,040
Speaker 1: I mean, the whole idea of putting the material out

1576
01:22:21,120 --> 01:22:25,719
Speaker 1: on Twitter to begin with, it's kind of a double burn,

1577
01:22:25,800 --> 01:22:28,800
Speaker 1: right because you're you're flaying Twitter on Twitter, and then

1578
01:22:28,800 --> 01:22:32,479
Speaker 1: you're also doing it in the in what used to

1579
01:22:32,479 --> 01:22:37,920
Speaker 1: be the private playground essentially of the commercial media, And

1580
01:22:38,439 --> 01:22:43,280
Speaker 1: of course this arouses lots of negative emotions, and you know,

1581
01:22:43,320 --> 01:22:47,000
Speaker 1: they're hitting back and also pretending not to cover a

1582
01:22:47,040 --> 01:22:50,280
Speaker 1: story that everybody in the in the country and also

1583
01:22:50,360 --> 01:22:52,680
Speaker 1: in some parts of the world they're talking about. That

1584
01:22:52,800 --> 01:22:56,439
Speaker 1: just makes them look ridiculous. I mean, I get I

1585
01:22:56,479 --> 01:23:00,280
Speaker 1: get that they have opinions about it, but the whole

1586
01:23:00,360 --> 01:23:03,080
Speaker 1: thing is silly, I think, yeah, agreed. I mean, I

1587
01:23:03,080 --> 01:23:05,880
Speaker 1: don't know how you can deny that the revelation of

1588
01:23:05,920 --> 01:23:09,240
Speaker 1: weekly meetings between the FBI and a major social media

1589
01:23:09,280 --> 01:23:11,400
Speaker 1: platform that they all acknowledge. I mean, there have been

1590
01:23:11,400 --> 01:23:13,439
Speaker 1: plenty of coverage of you on takeover Twitter and what

1591
01:23:13,439 --> 01:23:16,479
Speaker 1: that means. So they're sort of testly acknowledging this platform

1592
01:23:16,560 --> 01:23:19,479
Speaker 1: is really important, but you know, only covering the pieces

1593
01:23:19,520 --> 01:23:22,360
Speaker 1: of it that you know that they that they want

1594
01:23:22,400 --> 01:23:24,240
Speaker 1: to that they pick and choose. So Matt, thank you

1595
01:23:24,280 --> 01:23:26,040
Speaker 1: so much. I know you're tired, I know you've been

1596
01:23:26,160 --> 01:23:28,160
Speaker 1: up late and all of those things. So we always

1597
01:23:28,160 --> 01:23:29,960
Speaker 1: really appreciate your time here. Thanks for your work man.

1598
01:23:30,160 --> 01:23:34,160
Speaker 1: Thank thanks for having me Takula anytime. Yeah. Sure, Thank

1599
01:23:34,160 --> 01:23:36,000
Speaker 1: you guys so much for watching. We really appreciate it.

1600
01:23:36,040 --> 01:23:39,840
Speaker 1: Live show, don't forget Austin, Texas February third link right

1601
01:23:39,880 --> 01:23:42,000
Speaker 1: now for the premium members in your email with the

1602
01:23:42,000 --> 01:23:44,439
Speaker 1: pre sale code. On sale to the general public later.

1603
01:23:44,479 --> 01:23:47,439
Speaker 1: We got counterpoints. They're going to be returning here to

1604
01:23:47,520 --> 01:23:48,760
Speaker 1: the set. It's going to be a lot of fun.

1605
01:23:48,760 --> 01:23:51,240
Speaker 1: They're gonna have a great show for you guys tomorrow morning.

1606
01:23:51,320 --> 01:23:54,559
Speaker 1: What partner content, all that other stuff Premium you guys

1607
01:23:54,600 --> 01:23:56,840
Speaker 1: know the drill. We're really excited. It's been a real

1608
01:23:56,880 --> 01:23:58,920
Speaker 1: privilege to wrap up the year with all of you.

1609
01:23:59,040 --> 01:24:01,040
Speaker 1: It's cool. It's like the first full scale year that

1610
01:24:01,680 --> 01:24:05,519
Speaker 1: all breaking point especially awesome. We love you all so

1611
01:24:05,520 --> 01:24:07,200
Speaker 1: so much. Thank you guys for being with us, and

1612
01:24:07,240 --> 01:24:09,360
Speaker 1: we'll see you all on Monday. See you'll next week.