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Speaker 1: Well, the publicity stunts in these straight up lies keep

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Speaker 1: getting weirder and worse and more desperate for attention. But

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Speaker 1: I don't know that just seems to be how libs

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Speaker 1: do things nowadays. Also, the unsubscribed button on your email,

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Speaker 1: does it actually work or does it tell the people

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Speaker 1: that you've got a hot link here? And all of

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Speaker 1: a sudden, now you're subscribed to way more things. And

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Speaker 1: a non partisan group said, hey, we're going to be

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Speaker 1: more nonpartisan, which suggests that they weren't being nonpartisan to

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Speaker 1: begin with. All that and more coming up on this

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Speaker 1: episode of Turning Point Tonight. My name is Joe Bob.

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Speaker 1: Thanks so much for tuning in. Together, we are charting

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Speaker 1: the course of America's cultural comeback. This is Turning Point Tonight. Now,

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Speaker 1: before we get to that in our fantastic panel, what

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Speaker 1: I want to talk about is that I realize people

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Speaker 1: are getting a little bit of la riot fatigue or

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Speaker 1: just riot fatigue in general and the actual riots, but

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Speaker 1: the coverage of it people are talking about a lot.

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Speaker 2: Yes, it is a big story.

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Speaker 1: Here's the thing, though, they continue to lie about all

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Speaker 1: of the things going on. Most specifically in this particular

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Speaker 1: instance is from New York Magazine, to which I say, hey, libs,

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Speaker 1: we have the Internet. If you write something down that

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Speaker 1: is objectively factually wrong, we can check it. If you

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Speaker 1: say something on TV that is factually wrong. This isn't

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Speaker 1: the eighties where you can kind of just get away

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Speaker 1: with it because what you say gets.

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Speaker 2: Kind of lost into the ether.

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Speaker 3: No.

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Speaker 1: No, we can go back not all that long ago

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Speaker 1: and see that what you said was the exact opposite

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Speaker 1: of the truth. We're in a new time and age

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Speaker 1: where we have the Internet. In this particular case, New

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Speaker 1: York Magazine had an article written by a guy named

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Speaker 1: Jack Herrera, who's an independent New York based reporter, and

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Speaker 1: it basically said, can you prove your citizenship? For Americans

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Speaker 1: wrongfully detained by Ice, it can be nearly impossible to escape,

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Speaker 1: which is an insane thing to think. Are there going

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Speaker 1: to be US citizens that get mistakenly identified as illegal immigrants? Yes?

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Speaker 1: And guess what, I'm fully confident and so is everybody

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Speaker 1: else that will just get sorted out. It's gonna be

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Speaker 1: kind of an inconvenient thing, probably, but everything'll be fine.

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Speaker 1: But not, according to this article, if you're wrongly detained,

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Speaker 1: it could mean you get deported. This is a literally

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Speaker 1: from the article. Though Immigration enforcementner gets more attention under Trump,

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Speaker 1: ICE since its modern creation at after nine to eleven,

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Speaker 1: has mistakenly detained and sometimes deported thousands of US citizens

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Speaker 1: under presidents of both parties. Now obviously the implication there

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Speaker 1: being that, wow, thousands of US citizens get deported. Well,

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Speaker 1: the thing is he linked to the report, the Government

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Speaker 1: Accountability Office report detailing ICE's numbers and ninety six pages long.

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Speaker 1: I think he probably figured, well, nobody's actually gonna read this.

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Speaker 1: Good news is we have the freaking Internet, and I

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Speaker 1: didn't have to read it. I just put it through

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Speaker 1: groc and asked, hey, is this statement legit? Now understand

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Speaker 1: I did not actually read the ninety six page argument

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Speaker 1: or the ninety six page document.

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Speaker 2: The Internet did, but it spit out this.

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Speaker 1: The report notes that ICE identified six hundred and ninety

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Speaker 1: three cases which individuals claimed to be US citizens during

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Speaker 1: this period. The report confirms that hundreds of US citizens

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Speaker 1: have been detained by ICE, but then we're verified to

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Speaker 1: be US citizens and it was fine. In other words, no,

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Speaker 1: not thousands of people got deported. Yes, mistakes are made,

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Speaker 1: but we're talking about a country with three hundred and

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Speaker 1: thirty million people with tens of millions of illegal immigrants involved. Yeah,

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Speaker 1: a couple hundred mistakes are gonna get made, and guess what,

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Speaker 1: it's all gonna be sorted out and be fine, not

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Speaker 1: have to go into a whole nother die tribe.

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Speaker 2: But I was talking to my wife about this last night.

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Speaker 1: And I said, if I got swept swept up in

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Speaker 1: a raid and you got swept up in a raid,

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Speaker 1: I wouldn't be worried. I'd be like, this is inconvenient,

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Speaker 1: But I'm not concerned that you're gonna get shipped off

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Speaker 1: to Guatemala. And she said something actually really interesting and

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Speaker 1: thought provoking that I had never heard about. When you

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Speaker 1: wonder why are people fighting back against ice just sorted

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Speaker 1: out in the system, in the best justice system in

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Speaker 1: the world that we have, you brought up a really

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Speaker 1: really good point, and that was this, Well, if these

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Speaker 1: illegal immigrants are used to insanely corrupt governments, they might

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Speaker 1: think that we're the same way, which is actually a

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Speaker 1: great point. Now, the problem is that we're not, and

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Speaker 1: libs continuing to say that we are is going to

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Speaker 1: further the problem. But such is the performative state of

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Speaker 1: politics nowadays, the only thing and the best thing that

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Speaker 1: we can do is point out when they're making performative

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Speaker 1: pieces and just trying to get attention. Here to comment

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Speaker 1: on that and so much more is comedian Bo Robinson

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Speaker 1: and turning point us a Frontlines reporter Savannah Hernandez. Guys,

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Speaker 1: thanks so much for joining us, and thanks for sticking

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Speaker 1: with that long winded diatribe for real.

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Speaker 4: To Bob, I'm just kidding, it was great, So.

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Speaker 2: Don't be sorry.

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Speaker 1: So this is actually happening in real time, or at

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Speaker 1: least when we're when we're having this conversation. Alex Padilla,

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Speaker 1: senator from California, got arrested for questioning DHS Secretary Christy Nome.

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Speaker 1: Watch this video clip, guys, and I want to get

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Speaker 1: your reaction about He's just asking questions. He's not bombarding

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Speaker 1: a podium, he's not yelling things out during press conversion.

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Speaker 2: Just asking questions. Got arrested for asking questions. Watch this.

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Speaker 2: I'm Senator Alexia.

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Speaker 1: I have questions for the secretary because the fact of

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Speaker 1: the matter is.

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Speaker 5: Half a dozen selling criminals that you're on your on your.

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Speaker 3: Off.

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Speaker 6: That's a lot of pushing and shoving.

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Speaker 2: For some questions.

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Speaker 1: Now it looks like at the end of that he

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Speaker 1: did start to go Okay, finally let's go out, Savannah.

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Speaker 1: I mean your initial thoughts on this as it's kind

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Speaker 1: of unfolding to me, it just seems like a publicity stunt,

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Speaker 1: because everything in politics is just a publicity stunt. And

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Speaker 1: Gavin said on his Instagram feed, he just he was

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Speaker 1: arrested for asking questions. So I said, okay, well, if

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Speaker 1: I go to one of your press conferences, just yell incoherently.

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Speaker 2: That's just fine. You're just gonna let that happen because

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Speaker 2: all I'm doing is asking questions. I don't know what

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Speaker 2: are your thoughts.

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Speaker 4: Well as somebody who has confronted multiple politicians, including our

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Speaker 4: former Department of Transportation Secretary Pete Buddha judge. The reason

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Speaker 4: why it's funny, right, because when I ask questions, I'm

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Speaker 4: not pushing my way into a secret service member. But

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Speaker 4: for some reason, it's always the Democrat security who are

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Speaker 4: coming and pushing me away. But when it's the other foot,

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Speaker 4: they think that it's okay to like bombard and push

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Speaker 4: and you know, make their point known and then try

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Speaker 4: to scream free speech. That's not how that works. It's

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Speaker 4: just so funny to see the double standard because again,

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Speaker 4: if you're you know, a right wing or even just

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Speaker 4: like an American citizen who wants to talk to a politician,

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Speaker 4: they will shut you down immediately. And this is how

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Speaker 4: they treat you. We don't really say anything about it.

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Speaker 4: But then meanwhile, democrats like they make it a point

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Speaker 4: to make it a publicity sent to go and bombard

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Speaker 4: and to go and bully and go and scream in

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Speaker 4: the middle of a press conference.

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Speaker 1: Come on, yeah, I guess again, it's not a free

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Speaker 1: speech thing. He's got all the free speech he wants.

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Speaker 1: He's got the Internet, you've got you can question the

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Speaker 1: secretary after she's done making her statements. But bo, like,

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Speaker 1: do you think that this is the sort of thing

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Speaker 1: that lives are gonna see and go as clearly a

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Speaker 1: guy trying to get attention or they're going to be like, oh, yeah,

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Speaker 1: we're in a fascist dictatorship because you can't.

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Speaker 2: Do like, I don't know, how is this going to

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Speaker 2: be perceived?

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Speaker 6: Or remember, liberals have the mind of a goldfish.

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Speaker 7: That the ten second tom right, So they've already forgotten

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Speaker 7: about all the law fair and prison senses. They tried

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Speaker 7: to give Donald Trump six months ago, and they're probably

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Speaker 7: going to take this out of context and say that

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Speaker 7: he got pushed out while he was trying to support

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Speaker 7: ice or support illegal immigrants, when clearly he was yelling

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Speaker 7: and screaming in the middle of a press conference and

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Speaker 7: his linemen skills didn't come into effect here as he

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Speaker 7: couldn't really shove back and got pushed out of the room.

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Speaker 7: I just hope he's not a line coach anywhere. That's

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Speaker 7: going to be a real problem. His team's not going

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Speaker 7: to do very well. So yeah, I think the Libs

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Speaker 7: are going to see this and they're probably going to

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Speaker 7: side with him. Of course they would, why would they

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Speaker 7: do anything else. But you know, the truth is is

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Speaker 7: there's a lot of context missing from this. So I

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Speaker 7: don't think you should be able to push and shove

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Speaker 7: your way to the front of Christy.

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Speaker 5: Nam's press conference. It's a little a little uneasy unless

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Speaker 5: you're just trying to get attention. I immediately went to

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Speaker 5: Senator Padilla's social media accounts and screenshot at how many

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Speaker 5: followers he has. Gavin Newsom, by the way, has climbed

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Speaker 5: half a million followers in the last week, just on

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Speaker 5: Instagram alone, which is his only goal. He doesn't actually

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Speaker 5: care about stopping anything. He just wants to gain followers

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Speaker 5: and gain attention.

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Speaker 1: Speaking of people who are trying to gain attention, we

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Speaker 1: played this video yesterday on the show. Sam wasn't here,

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Speaker 1: she was actually doing the reporting, but this is this

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Speaker 1: is her getting a video of a confrontation between white

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Speaker 1: libs blocking black people from getting to work to fight racism.

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Speaker 1: I think watched this one more time and uh, and yeah,

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Speaker 1: we'll discuss. I don't.

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Speaker 8: But you could just knock again.

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Speaker 9: You're not going How is it the people protest if

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Speaker 9: there isn't, I'm starting a black woman from going to work.

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Speaker 1: Oh no, not work.

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Speaker 4: About starting black people from going to work.

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Speaker 2: Look at this.

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Speaker 9: I'm not pausing.

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Speaker 1: I'm not trying to work just for me, sev what

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Speaker 1: so okay again? I know viewers watched this yesterday, but

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Speaker 1: it's I want to get your take. What is going

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Speaker 1: through your head when you're watching this? Are you like

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Speaker 1: I would be struggling not to laugh at the absurdity

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Speaker 1: of white people stopping black people from going places in

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Speaker 1: the name of stopping racism against black people.

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Speaker 2: I think I don't know.

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Speaker 4: Yeah, the hypocrisy was astounding, and a lot of people

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Speaker 4: too online were like, Sah, why are you making this

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Speaker 4: about race? It should it be about race. No, these

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Speaker 4: are the exact same people who for the past ten

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Speaker 4: years said that they should be in power because they

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Speaker 4: know how to run the country properly. This is them

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Speaker 4: running the country. This is them shutting down Black mothers,

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Speaker 4: American mothers, all Americans from going to work, from taking

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Speaker 4: care of their children. This interaction went on for about

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Speaker 4: seven minutes, So this was a seven minute clip that

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Speaker 4: I cut down to three minute or to thirty seconds here,

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Speaker 4: and I let them stand there for five minutes and

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Speaker 4: try to like work through on their own, like, hey,

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Speaker 4: maybe we should let this woman who's trying to, you know,

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Speaker 4: take care of her child and get to work through.

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Speaker 4: And it never clipped in their mind, which is why

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Speaker 4: I finally asked that question. And to be quite honest

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Speaker 4: with you, I have never gotten such a pompous response

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Speaker 4: as I did with this guy. Apparently it comes from money.

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Speaker 4: Apparently he's an activist out in New York City who

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Speaker 4: comes from a very wealthy family. Imagine that, Joe, Bob.

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Speaker 4: But this is the left wing. They hate you and

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Speaker 4: This is what it's like when they're empowered. They don't

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Speaker 4: care if you have a family, they don't care if

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Speaker 4: you have bills to pay. They've got important things to

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Speaker 4: protest and illegal immigrants to riot for.

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Speaker 2: Yeah, especially legal criminals.

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Speaker 1: But the good thing is there and then their country legally,

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Speaker 1: and that makes it okay. Bo, as a white yourself,

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Speaker 1: how do you plan how do you on making something

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Speaker 1: better for us two minorities on this panel? What are

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Speaker 1: you gonna do to stop us in the name of

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Speaker 1: helping us?

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Speaker 2: I don't know.

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Speaker 10: Yeah, I don't know, to be honest, honestly, I watched

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Speaker 10: this clip and I think to myself, well, how many

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Speaker 10: pot brins did this guy eat before he was asked

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Speaker 10: that question? Because Savannah asked him a pretty normal question

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Speaker 10: and you can see the browser go off in his

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Speaker 10: brain and his best response is work. And I'm just

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Speaker 10: I'm like, this guy is high off his behind right now.

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Speaker 6: How is he supposed to move, let alone talk?

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Speaker 1: That's but yeah, the pinwheel, the circle wheel of death

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Speaker 1: is happening right there, and the guy, yeah, I don't know.

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Speaker 2: Again. I know we've recapped that already.

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Speaker 1: With our guess yesterday, but I just thought since Savannah's here,

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Speaker 1: we might as well ask her about it, and I

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Speaker 1: thought it was a good time. Uh, Savannah and Bo

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Speaker 1: will be right back after the break to discuss the

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Speaker 1: non partisan group that definitely was not partisan because it's

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Speaker 1: government funded, talking about how they need to be more nonpartisan,

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Speaker 1: which implies that they were being partisan and more.

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Speaker 2: Coming up after the breakdo go.

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Speaker 1: Away, Welcome back to Turning Point.

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Speaker 2: Tonight.

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Speaker 1: We're together. We are charting the course of America's cultural comeback.

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Speaker 1: Let's check in with Turning Points. White House Correspondent Monica

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Speaker 1: Page at the White House. Monica, So this we talked

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Speaker 1: about this a while ago, where the Senate passed a

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Speaker 1: bill that said, hey, no, no, no, no, no, California,

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Speaker 1: your whole EV mandate thing. I didn't know that the

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Speaker 1: Senate could do that, but it's because of these like

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Speaker 1: EPA waivers that they're allowed to.

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Speaker 2: But phyllis in President Trump putting a putting.

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Speaker 1: A squash to the whole every single car on the

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Speaker 1: road is gonna be an EV vehicle in California that

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Speaker 1: high in the sky. Gavin Newsom woke progressive nods such crap.

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Speaker 3: Well, that's essentially right. I mean under Joe Biden's leadership

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Speaker 3: and under California Governor Gavin Newsom, there were a lot

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Speaker 3: of regulations and a lot of red tape that was

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Speaker 3: put on gas powered vehicles and also diesel vehicles as well.

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Speaker 3: And President Trump is saying, listen, if you're an American,

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Speaker 3: you win in this country, you should be able to

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Speaker 3: drive whatever car you want in this country. So essentially

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Speaker 3: he signed these congressional bills that are putting this ban

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Speaker 3: on this California regulation that every car on the road

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Speaker 3: needs to be electric or should be selling electric only

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Speaker 3: by the year twenty thirty five. And in the previous administration,

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Speaker 3: when they were starting to kind of try and get

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Speaker 3: this renew scam, this green push, this climate change initiatives

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Speaker 3: passed through, they allocated millions of dollars to install electric

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Speaker 3: vehicle chargers, hoping that people will maybe buying more electric vehicles.

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Speaker 3: But they only really installed eight. That's it, just eight

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Speaker 3: ed chargers throughout this last four years under Joe Biden,

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Speaker 3: that's it. So President hilp was saying, enough with this.

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Speaker 3: If you are here in this country, you should be

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Speaker 3: able to drive whatever car you want. So enough with

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Speaker 3: these bands, Enough with these regulations. We're doing things our

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Speaker 3: way essentially.

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Speaker 1: You know, I'd like to point out to the federal

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Speaker 1: government that if you need EV chargers to not be built,

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Speaker 1: I can do it for a cool two billion dollars.

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Speaker 1: Just send two billion dollars my way, and I will

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Speaker 1: not build an EV charger. Also in California too, I

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Speaker 1: don't know if you know about this or people around

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Speaker 1: the country know about this. You're not allowed to have

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Speaker 1: gas powered lawnmowers anymore. So it's super interesting because I

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Speaker 1: live in California. I went on the black market to

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Speaker 1: buy to buy a gas powered lawn mower because the

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Speaker 1: electric ones don't work.

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Speaker 2: And it's just California versions.

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Speaker 6: You know.

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Speaker 3: You say that, Joe Bob, because in this Lesson administration,

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Speaker 3: they would have gas powered mowers right here on a lawn.

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Speaker 3: So everyone else has got to have electric mowers. But

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Speaker 3: the guys back here say, Okay, we're gonna have gas

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Speaker 3: powered mowers. You can smell the gas. So every time

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Speaker 3: they mow the lawn, you're like, Okay, this guy's really

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Speaker 3: that serious about EV's.

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Speaker 1: At the risk of going off into a whole different

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Speaker 1: tankrent the city of Los Angeles several years ago banned

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Speaker 1: gas powered lawnmowers, but nobody enforces it because they've literally said, well,

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Speaker 1: enforcing it would be race because the type of people

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Speaker 1: that molds is substantially that would be a bad thing.

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Speaker 1: So it's just the Virtue Signal League overall is just hilarious.

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Speaker 1: You know, hey, Monica, you're you're not going to be

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Speaker 1: here tomorrow, but I guess it's a good reason. Because

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Speaker 1: you're going to the Young Women's Leadership Summit. Can you

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Speaker 1: tell us about what to expect their turning Points Flagship

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Speaker 1: Women's Conference.

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Speaker 3: This is gonna be my first conference, my first time

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Speaker 3: at YWLS. Jobob so very excited about it, and with

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Speaker 3: it being my first time there, I'm also speaking at

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Speaker 3: it on Saturday afternoon around twelve thirty eight pm Central time,

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Speaker 3: So I've just been constructing. You know, what am I

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Speaker 3: going to say at this event? What can I expect here?

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Speaker 3: I'm excited to see everybody a bunch of like minded

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Speaker 3: young women and girls with big dreams and are all

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Speaker 3: you know about being welcomed home essentially, because that's what

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Speaker 3: the theme is of this year is welcome home. You know,

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Speaker 3: you have a home and a police here in America.

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Speaker 3: Despite your view and maybe your lifestyle not fitting in

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Speaker 3: with the mainstream narrative that so many women were bought

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Speaker 3: and sold that you know, you're your own boss woman

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Speaker 3: and you don't need a man, and you can do

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Speaker 3: it all yourself, and you could have it all. It's

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Speaker 3: very different and here, and it feels very welcoming and exciting,

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Speaker 3: and I plan to cover comparing in contrast in the

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Speaker 3: past two White House. It is this White House versus

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Speaker 3: the last one, especially as a female reporter here where

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Speaker 3: I wasn't getting any answers in the previous administration, and

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Speaker 3: now it's just a whole new life that we're living here.

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Speaker 3: So it's very exciting and it's gonna feel like one

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Speaker 3: big celebration, that's for sure.

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Speaker 1: Yeah, it's a it's a super exciting event. If you're

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Speaker 1: a woman, you can't go. If you're a dude, Monica

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Speaker 1: will be there, But no dudes. We've been saying that

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Speaker 1: a lot that we were promoting out on the show.

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Speaker 1: Why do you list happening this weekend in Dallas, Monica page,

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Speaker 1: have a great weekend, have fun, and we'll see a Monday.

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Speaker 3: Thanks guys, have a great weekend.

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Speaker 2: Thank you.

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Speaker 1: Lots of government agencies have a policy that they're going

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Speaker 1: to remain nonpartisan and not get involved in politics, and

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Speaker 1: many of them, including the blatantly left wing, very much

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Speaker 1: partisan organizations, say no, no, we were right. Now, we're

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Speaker 1: straight series, this is just based on education, NPR, PBS

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Speaker 1: come to mind. Well, turns out the Smithsonian, who's also

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Speaker 1: supposed to be a nonpartisan entity that gets a lot

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Speaker 1: of government funding as well, it turns out they're not

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Speaker 1: as partisan as as nonpartisan as they think. Let's bring

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Speaker 1: our panel back, sav says and Bo Robertson. Guys, So

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Speaker 1: this I thought was funny. Bo will start with you here,

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Speaker 1: Lonnie Bunch, the secretary over there at the Smithsonian. It

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Speaker 1: kind of like self owned himself in an email obtained

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Speaker 1: by the National the National Review. He was like, hey,

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Speaker 1: you know, obviously we're very nonpartisan, but but we're gonna

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Speaker 1: need to get better at being nonpartisan because some areas

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Speaker 1: was not so nonpartisan. In doing so, kind of implicated

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Speaker 1: himself saying, Okay, wait, you just said you're nonpartisan, but

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Speaker 1: you have to get better at that, which which means

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Speaker 1: you're aware of yourself being partisan. In fact, does he

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Speaker 1: know does he recognize that is are we gonna pull

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Speaker 1: funding from any of these organizations?

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Speaker 2: Probably not.

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Speaker 6: That's the worst part is I love giving my money.

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Speaker 7: To people they call me racist and xenophobe.

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Speaker 6: Right, these people come out of the woodwork. I forgot

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Speaker 6: who it was.

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Speaker 7: It was a woman a couple weeks ago she became

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Speaker 7: president of what was it PBS, and she said, we're

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Speaker 7: not partisan either, while the senator or congress person called

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Speaker 7: her out her tweets about how she is obviously racist

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Speaker 7: and unforgiving towards white people, because it was about what

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Speaker 7: was it? The event where she was called out for

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Speaker 7: her anti white tweets and about blackness and then says

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Speaker 7: she's not partisan at all. So it's not surprising to me.

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Speaker 7: I'm hoping that Trump pulls the funding.

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Speaker 1: Though, Yeah, if he has the possibility of doing that,

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Speaker 1: I would imagine that.

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Speaker 2: Any attempts to do that would be met with the

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Speaker 2: jud the blocks President Trump doing with Savannah.

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Speaker 1: Of course, I don't know kind of your your thoughts

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Speaker 1: reactions to this, because I think the biggest thing, too

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Speaker 1: is a lot of these NGOs that are again supposed

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Speaker 1: to be nonpartisan outside of the Smithsonian, right, we were

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Speaker 1: finding out too, especially with all the riots that. Okay,

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Speaker 1: so some of the money being used by these NGOs

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Speaker 1: to fund I don't know, pallets of bricks just showing up,

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Speaker 1: looks like they're tied to government non government organizations that

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Speaker 1: get federal dollars. The whole nonpartisanship thing seems to be

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Speaker 1: pretty pretty much a farce.

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Speaker 4: It seems like, yeah, you know, this reminds me of

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Speaker 4: the NPR CEO who was in front of an oversight hearing,

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Speaker 4: and you know, you had congressmen that were basically holding

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Speaker 4: up NPR articles that were like, what do you think

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Speaker 4: about this article that says I hate white men, white

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Speaker 4: men are bad. Put all white men in jail. And

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Speaker 4: they're like, we don't know where that came from. We're nonpartisan,

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Speaker 4: we don't have any political leanings. So you know, it's

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Speaker 4: just hilarious because these same organizations, these media companies that

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Speaker 4: we fund with our dollars and have been used to

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Speaker 4: indoctrinate all American citizens, they're the farthest thing from nonpartisan.

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Speaker 4: And you know, you know it, I know, job Bob.

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Speaker 4: It's why so many people are calling for DOGE cuts,

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Speaker 4: for PBS, for NPR, for various organizations like one we're

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Speaker 4: mentioning now to be defunded because US citizens are so

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Speaker 4: tired of our taxpayer dollars being utilized to radicalize people

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Speaker 4: in this country.

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Speaker 1: Yeah, I can't imagine why people would be upset about that.

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Speaker 1: It seems I don't know. I can't even make a

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Speaker 1: joke here.

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Speaker 2: So here's what I think.

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Speaker 1: This is an actual thing that affects every single person.

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Speaker 2: I know. It's the most infuriating thing. Actually, it might be.

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Speaker 1: The second most infuriating thing minus spam calls. But spam emails. Right, you, first,

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Speaker 1: you buy a pair of pants at I don't know,

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Speaker 1: a diesel store, and all of a sudden, you get

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Speaker 1: seven emails a day from Diesel. You click unsubscribe. But

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Speaker 1: according to a New Wall Street article, sometimes that subscribe

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Speaker 1: button doesn't work. And not only does it not work,

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Speaker 1: it tells the people on the other side, Hey, this

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Speaker 1: is a live email.

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Speaker 2: We got one.

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Speaker 1: Let's go sell your information to everybody because now we

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Speaker 1: know this email actually works. Savannah the wa washtreet Journal

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Speaker 1: said it only happens like one in like every six

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Speaker 1: hundred times, but they did a big, long test, and

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00:22:25,200 --> 00:22:29,080
Speaker 1: even that one, to me feels like it's grounds to

436
00:22:29,119 --> 00:22:30,240
Speaker 1: send people to GETMO.

437
00:22:31,040 --> 00:22:32,639
Speaker 2: I just hate this so much.

438
00:22:33,320 --> 00:22:35,320
Speaker 1: I don't know what should the punishment be for companies

439
00:22:35,320 --> 00:22:37,399
Speaker 1: that aren't actually unsubscribing you?

440
00:22:38,440 --> 00:22:40,800
Speaker 4: Yeah, you know, Joe, Bob. One of my biggest gripes

441
00:22:40,840 --> 00:22:42,720
Speaker 4: in society is that you can't go to a store

442
00:22:42,720 --> 00:22:45,120
Speaker 4: without giving them your name, your birthday, your help, your

443
00:22:45,160 --> 00:22:48,080
Speaker 4: house number, your phone number, your email address. Like, just

444
00:22:48,200 --> 00:22:51,919
Speaker 4: give me the freaking pasts, and now my information is

445
00:22:51,960 --> 00:22:55,560
Speaker 4: being sold a great, amazing we love it. Oh goshho Bob.

446
00:22:55,600 --> 00:22:57,720
Speaker 4: It's like I was already block piled enough today and

447
00:22:57,760 --> 00:23:00,800
Speaker 4: then you hit me with the non working, working unsubscribe button.

448
00:23:00,880 --> 00:23:01,359
Speaker 4: How could you?

449
00:23:02,480 --> 00:23:04,640
Speaker 2: I'm sorry this is but this is again the most

450
00:23:04,680 --> 00:23:05,840
Speaker 2: frustrating thing for me.

451
00:23:06,320 --> 00:23:08,840
Speaker 1: I like, because there are emails that you get, I

452
00:23:08,960 --> 00:23:12,000
Speaker 1: get everybody gets that are actually important, but you miss

453
00:23:12,080 --> 00:23:15,600
Speaker 1: them because you get thirty nine emails about discounted pants

454
00:23:15,600 --> 00:23:18,480
Speaker 1: from the Banana Republic. I like, I don't and I'm

455
00:23:18,520 --> 00:23:21,040
Speaker 1: talking about I'm talking about the store Banana Republic, not

456
00:23:21,200 --> 00:23:23,040
Speaker 1: all the third world countries that we're trying to send

457
00:23:23,200 --> 00:23:23,879
Speaker 1: the illegals to.

458
00:23:24,359 --> 00:23:24,960
Speaker 2: Uh BO.

459
00:23:25,520 --> 00:23:27,320
Speaker 1: I don't know what what should the punishment be if

460
00:23:27,359 --> 00:23:29,879
Speaker 1: you were if you were King of the world. What

461
00:23:29,920 --> 00:23:33,520
Speaker 1: would the punishment be for a non working unsubscribed button.

462
00:23:34,400 --> 00:23:36,520
Speaker 6: I'd probably go for the Gretituneberg treatment.

463
00:23:36,600 --> 00:23:39,080
Speaker 7: I'd probably find the person, sit them down and have

464
00:23:39,160 --> 00:23:41,760
Speaker 7: them force them to watch the emails come in one

465
00:23:41,800 --> 00:23:44,360
Speaker 7: by one. They can hit the unsubscribe. They're just gonna

466
00:23:44,359 --> 00:23:46,399
Speaker 7: get ten more emails, you know. I think that's a

467
00:23:46,400 --> 00:23:49,119
Speaker 7: fair treatment. Not allowed to move, they're they're not allowed

468
00:23:49,119 --> 00:23:51,560
Speaker 7: to delete them, and uh yeah, just keep the ball rolling.

469
00:23:52,560 --> 00:23:52,919
Speaker 2: I love it.

470
00:23:52,920 --> 00:23:56,159
Speaker 1: That's actually a pretty good one. That's the bane of

471
00:23:56,160 --> 00:23:59,320
Speaker 1: my existence is just watching the number of my emails

472
00:23:59,400 --> 00:24:02,320
Speaker 1: just go up by the hour. And I can't imagine

473
00:24:02,359 --> 00:24:06,640
Speaker 1: I'm alone in that. Make make unsubscribed buttons great again?

474
00:24:06,760 --> 00:24:09,760
Speaker 1: Is my I'm a single issue voter, President Trump. I

475
00:24:09,760 --> 00:24:13,040
Speaker 1: will vote for you for a third time, fourth time.

476
00:24:13,760 --> 00:24:18,399
Speaker 1: I shouldn't have said that. I will continue to vote

477
00:24:18,600 --> 00:24:23,440
Speaker 1: for whoever mandates unsubscribed buttons actually work. Bo Robinson, Savanna Hernandez, guys,

478
00:24:23,480 --> 00:24:25,159
Speaker 1: thank you so much for joining us. Really appreciate you

479
00:24:25,200 --> 00:24:25,879
Speaker 1: taking the time.

480
00:24:26,800 --> 00:24:27,080
Speaker 11: Thank you.

481
00:24:27,359 --> 00:24:28,879
Speaker 2: Job coming up next day.

482
00:24:28,880 --> 00:24:31,720
Speaker 1: Fascinating clip from Alex scrsh Culture Apothecary podcast Don't go Away.

483
00:24:31,760 --> 00:24:32,840
Speaker 2: We'll be right back after this.

484
00:24:49,400 --> 00:24:52,560
Speaker 12: How do you feel as a psychiatrist about primary care

485
00:24:52,600 --> 00:24:55,639
Speaker 12: physicians being some of the main people prescribing, you know,

486
00:24:55,680 --> 00:24:56,919
Speaker 12: antidepressants to people.

487
00:24:57,240 --> 00:24:59,800
Speaker 13: I think it's malpractice. I mean, if we think about

488
00:25:00,000 --> 00:25:03,720
Speaker 13: any depressants, right, you know, here is a pill that

489
00:25:03,800 --> 00:25:06,320
Speaker 13: will turn off the smoke detector in your brain to

490
00:25:06,359 --> 00:25:08,840
Speaker 13: the problems in your life. I mean there's just so

491
00:25:09,080 --> 00:25:12,760
Speaker 13: much in that. I mean, you would need to know

492
00:25:13,400 --> 00:25:16,040
Speaker 13: about their relationships, you would need to know about their work,

493
00:25:16,119 --> 00:25:17,920
Speaker 13: you'd need to know about their health, you'd need to

494
00:25:17,920 --> 00:25:20,560
Speaker 13: be spending so much time with that person to make

495
00:25:20,600 --> 00:25:23,199
Speaker 13: sure you're not actually making them worse. People who are

496
00:25:23,200 --> 00:25:26,200
Speaker 13: on these drugs as well, frequently don't even realize when

497
00:25:26,200 --> 00:25:29,320
Speaker 13: they're affecting them negatively because they're affecting their mind and

498
00:25:29,320 --> 00:25:31,639
Speaker 13: they have less insight when their brain is sort of

499
00:25:32,240 --> 00:25:35,600
Speaker 13: in that chemical spell, if you will, So you have

500
00:25:35,640 --> 00:25:37,639
Speaker 13: to go and talk to their spouse as well or

501
00:25:37,640 --> 00:25:38,520
Speaker 13: people who know them.

502
00:25:38,560 --> 00:25:39,400
Speaker 9: So is that what you do?

503
00:25:39,960 --> 00:25:40,160
Speaker 2: Yeah?

504
00:25:40,240 --> 00:25:44,280
Speaker 13: Yeah, If you're doing psychiatry right, and you're prescribing, subscribing

505
00:25:44,720 --> 00:25:50,200
Speaker 13: mind altering drugs which change people's personalities and behaviors where

506
00:25:50,240 --> 00:25:52,879
Speaker 13: the person can't even realize if it's helping them or

507
00:25:52,960 --> 00:25:56,320
Speaker 13: hindering them. Sometimes you have to talk to family members

508
00:25:56,359 --> 00:26:02,160
Speaker 13: as well. Now, family medicine doctor they have like fifteen

509
00:26:02,200 --> 00:26:04,800
Speaker 13: minutes with some people, maybe it's like six seven minutes

510
00:26:04,800 --> 00:26:08,399
Speaker 13: of FaceTime. Maybe half of that they're talking about like

511
00:26:08,440 --> 00:26:12,480
Speaker 13: some other issue, like a cardiovascular thing, and then it's

512
00:26:12,480 --> 00:26:16,000
Speaker 13: just like, oh, you depressed have this. Yeah, there's no way,

513
00:26:16,080 --> 00:26:19,560
Speaker 13: I mean, there's absolutely no way you could use those

514
00:26:19,600 --> 00:26:23,000
Speaker 13: medications in a safe way when you actually think about

515
00:26:23,320 --> 00:26:26,399
Speaker 13: what they do and the consequences that could have for

516
00:26:26,440 --> 00:26:26,879
Speaker 13: a person.

517
00:26:27,080 --> 00:26:28,880
Speaker 9: So that's basically my story.

518
00:26:29,600 --> 00:26:31,439
Speaker 12: I had a ten minute, well just check up with

519
00:26:31,480 --> 00:26:33,639
Speaker 12: my primary care physician a couple of years ago.

520
00:26:33,800 --> 00:26:35,760
Speaker 9: I had just casually mentioned, you.

521
00:26:35,720 --> 00:26:37,639
Speaker 12: Know, oh my gosh, I'm so stressed out right now

522
00:26:37,680 --> 00:26:39,760
Speaker 12: at work or whatever, like just I had stuff going on,

523
00:26:40,160 --> 00:26:43,000
Speaker 12: and she just was like, oh, well, you know, that's

524
00:26:43,080 --> 00:26:44,480
Speaker 12: no big deal, Like it just sounds like you're a

525
00:26:44,480 --> 00:26:46,679
Speaker 12: little bit anxious. I'll just prescribe you lexipro. And I

526
00:26:46,680 --> 00:26:47,880
Speaker 12: was like, oh, well, what's that. She's like, Oh, it's

527
00:26:47,880 --> 00:26:49,639
Speaker 12: just like an anti anxiety medication. I'll put you on

528
00:26:49,640 --> 00:26:52,800
Speaker 12: a low dose. So that's all that happened. I was

529
00:26:52,840 --> 00:26:56,879
Speaker 12: not told anything about potential risks, side effects, whatever.

530
00:26:57,040 --> 00:26:58,840
Speaker 9: I didn't know any better. This is way before I

531
00:26:58,840 --> 00:27:01,560
Speaker 9: had my awakening on pharma, so I just said okay.

532
00:27:01,920 --> 00:27:05,840
Speaker 12: I got on that I remember accidentally, and it was

533
00:27:05,880 --> 00:27:07,280
Speaker 12: a very low dose. I think I was only on

534
00:27:07,320 --> 00:27:11,480
Speaker 12: five milligrams. But I had like ran out or something

535
00:27:11,520 --> 00:27:14,639
Speaker 12: and didn't go fill my prescription, and I think I

536
00:27:14,680 --> 00:27:18,280
Speaker 12: missed like two days. And I remember driving like I want,

537
00:27:18,320 --> 00:27:20,000
Speaker 12: I want to I want to crash into the median.

538
00:27:20,600 --> 00:27:22,639
Speaker 12: It was just very like like I want to do it,

539
00:27:22,680 --> 00:27:24,680
Speaker 12: and I was like resisting, like I just I don't

540
00:27:24,680 --> 00:27:26,720
Speaker 12: want to be here anymore. And I was like, something's

541
00:27:26,760 --> 00:27:29,760
Speaker 12: not right to fill my prescription. Now what's interesting is like,

542
00:27:29,800 --> 00:27:32,159
Speaker 12: now what I know is that it's not depression or

543
00:27:32,200 --> 00:27:34,640
Speaker 12: anxiety coming back, like it's like part of the withdraw

544
00:27:34,920 --> 00:27:37,320
Speaker 12: right of like not being on these drugs starting to

545
00:27:37,400 --> 00:27:40,000
Speaker 12: kick in. So then I got back on and then anyway,

546
00:27:40,840 --> 00:27:43,760
Speaker 12: I myself started which you probably don't do this, but

547
00:27:43,960 --> 00:27:45,960
Speaker 12: I started kind of tapering off and I just started

548
00:27:45,960 --> 00:27:48,600
Speaker 12: like cutting like a third of it off, and then eventually,

549
00:27:48,640 --> 00:27:50,320
Speaker 12: like after several months, went down to a half and

550
00:27:50,320 --> 00:27:52,960
Speaker 12: then you know, so I tapered myself off and I

551
00:27:53,119 --> 00:27:56,240
Speaker 12: fully got off lexipro probably in about six months, which

552
00:27:56,280 --> 00:27:58,520
Speaker 12: maybe too fast, I don't know. I didn't have any

553
00:27:58,560 --> 00:28:00,480
Speaker 12: issues getting off, but I was also a very low

554
00:28:00,520 --> 00:28:01,640
Speaker 12: DOS and I.

555
00:28:01,600 --> 00:28:02,600
Speaker 9: Didn't even notice.

556
00:28:02,760 --> 00:28:04,840
Speaker 12: Besides when I didn't take it that time where I

557
00:28:04,840 --> 00:28:08,159
Speaker 12: felt like I had ideations happening, I didn't ever notice

558
00:28:08,200 --> 00:28:10,480
Speaker 12: like a big difference in that I was feeling better

559
00:28:10,600 --> 00:28:13,160
Speaker 12: or less anxious at all while being on.

560
00:28:13,119 --> 00:28:16,640
Speaker 9: The drug, Thank god. But that's that's my story on it.

561
00:28:16,920 --> 00:28:18,600
Speaker 13: How long were you on it for, Alex?

562
00:28:19,240 --> 00:28:22,000
Speaker 9: I think probably like two years now.

563
00:28:22,000 --> 00:28:24,200
Speaker 13: What I want to ask you is in your follow

564
00:28:24,280 --> 00:28:28,280
Speaker 13: up appointments with your family doctor, how much did they

565
00:28:28,320 --> 00:28:31,240
Speaker 13: talk to you about how long are you going to

566
00:28:31,280 --> 00:28:31,879
Speaker 13: be on the med for?

567
00:28:32,160 --> 00:28:33,320
Speaker 9: Yeah?

568
00:28:33,359 --> 00:28:35,199
Speaker 13: What was the discussion? Was it just like kind of

569
00:28:35,600 --> 00:28:36,840
Speaker 13: they just kept refilling it?

570
00:28:36,960 --> 00:28:40,479
Speaker 9: Or was this its like in your son a lexpro Yep, Okay,

571
00:28:41,280 --> 00:28:43,520
Speaker 9: that's it. Yeah, there's no discussion.

572
00:28:43,760 --> 00:28:46,360
Speaker 13: It wasn't like, hey, has your job gotten better or

573
00:28:46,800 --> 00:28:49,080
Speaker 13: anything like that, or thing's changed in your life? Are

574
00:28:49,080 --> 00:28:50,960
Speaker 13: you sure you want to be on this never? I

575
00:28:50,960 --> 00:28:53,520
Speaker 13: don't think that's that uncommon for many people. I talked

576
00:28:53,560 --> 00:28:58,360
Speaker 13: to people and they're like, Hey, I was anxious because

577
00:28:58,400 --> 00:29:02,200
Speaker 13: I moved away for college. And they just get put

578
00:29:02,240 --> 00:29:04,760
Speaker 13: on an antidepressant and then like fifteen years later, they're

579
00:29:04,800 --> 00:29:07,120
Speaker 13: just like, oh, you just kept refilling it, and it's

580
00:29:07,160 --> 00:29:11,080
Speaker 13: like you feel like made your brain dependent on this drug,

581
00:29:11,160 --> 00:29:14,200
Speaker 13: like like cemented this this thing together for like fifteen

582
00:29:14,280 --> 00:29:16,920
Speaker 13: years now, and they just like just like let it go.

583
00:29:17,720 --> 00:29:20,800
Speaker 9: So what is the correct tepering process for getting off

584
00:29:20,920 --> 00:29:22,320
Speaker 9: SSRIs or antida pressence?

585
00:29:22,680 --> 00:29:25,720
Speaker 13: So yeah, so this is this is really my specialty

586
00:29:25,920 --> 00:29:29,200
Speaker 13: and what I do, and so it's symptom lead tapering,

587
00:29:29,280 --> 00:29:33,840
Speaker 13: and so I'm going to provide some parameters here. There's

588
00:29:33,920 --> 00:29:37,680
Speaker 13: variability in how people respond to coming off these meds.

589
00:29:37,720 --> 00:29:40,800
Speaker 13: Some people their brains are super elastic and they could

590
00:29:40,800 --> 00:29:43,000
Speaker 13: survive a rapid taper. You know, they can come off

591
00:29:43,080 --> 00:29:46,000
Speaker 13: after you know, two months. You know, some family medicine

592
00:29:46,040 --> 00:29:48,920
Speaker 13: doctors will do it that quickly and they'll feel poor,

593
00:29:49,240 --> 00:29:51,720
Speaker 13: but you know, maybe a month later, you know, six

594
00:29:51,760 --> 00:29:54,520
Speaker 13: weeks later, they're okay. There are a lot of people

595
00:29:54,560 --> 00:29:58,120
Speaker 13: out there where that's way too fast and they become

596
00:29:58,360 --> 00:30:03,400
Speaker 13: really symptomatic and they become they've become anxious like that

597
00:30:03,600 --> 00:30:07,280
Speaker 13: they've never imagined they have cognitive problems as well, and

598
00:30:07,360 --> 00:30:09,240
Speaker 13: to get them off the medications, you have to do

599
00:30:09,280 --> 00:30:15,120
Speaker 13: it much much slower. So generally, I think if someone

600
00:30:15,160 --> 00:30:18,240
Speaker 13: has been on antidepressants for over a year, they should

601
00:30:18,280 --> 00:30:22,440
Speaker 13: do one of these slower tapers. I typically recommend people

602
00:30:22,520 --> 00:30:25,360
Speaker 13: knock the dose down by five to ten percent per month,

603
00:30:25,960 --> 00:30:27,840
Speaker 13: and then they just adjust it as they go. You know,

604
00:30:28,040 --> 00:30:30,200
Speaker 13: if you do that and you're feeling fine, just knock

605
00:30:30,200 --> 00:30:33,960
Speaker 13: another ten percent off. But as you get lower, you

606
00:30:34,080 --> 00:30:37,560
Speaker 13: generally need to slow down. And this is actually the

607
00:30:38,400 --> 00:30:40,960
Speaker 13: part of it where most people fail their tapers, or

608
00:30:41,000 --> 00:30:43,320
Speaker 13: they'll end up just on like a small dose at

609
00:30:43,360 --> 00:30:45,800
Speaker 13: the very bottom. And I'll try not to get too

610
00:30:45,840 --> 00:30:48,360
Speaker 13: scientific here, but I do think it's helpful to imagine this.

611
00:30:49,200 --> 00:30:52,040
Speaker 13: At the higher doses of antidepressants, you know, there's a

612
00:30:52,080 --> 00:30:56,320
Speaker 13: space between two neurons and it's just flooded.

613
00:30:55,960 --> 00:30:56,640
Speaker 2: With the drug.

614
00:30:56,760 --> 00:30:59,320
Speaker 13: And so let's say it's like sixty of prozac, which

615
00:30:59,480 --> 00:31:02,920
Speaker 13: would be one of the higher doses. Geez, you could

616
00:31:03,240 --> 00:31:07,920
Speaker 13: drop that down by half and really not change receptor

617
00:31:07,960 --> 00:31:11,880
Speaker 13: occupancy at the neurons because there's still so much drug

618
00:31:12,040 --> 00:31:14,280
Speaker 13: like floating around, So you're on half the dose and

619
00:31:14,320 --> 00:31:17,200
Speaker 13: it's still like pretty much the same. But once you

620
00:31:17,240 --> 00:31:20,320
Speaker 13: get down to the lower dose range of a drug,

621
00:31:21,680 --> 00:31:24,840
Speaker 13: as you remove more and more, there's less of the

622
00:31:25,280 --> 00:31:28,360
Speaker 13: excess just like floating around in that space, and then

623
00:31:28,400 --> 00:31:33,480
Speaker 13: you start to disengage the receptors much more, and so

624
00:31:33,720 --> 00:31:37,000
Speaker 13: many people will feel like, oh, you know, I knocked

625
00:31:37,160 --> 00:31:39,520
Speaker 13: you know, ten off the prozac and I went to

626
00:31:39,520 --> 00:31:41,360
Speaker 13: fifty and it was fine. And I knocked another ten

627
00:31:41,400 --> 00:31:43,160
Speaker 13: off and I got to forty and it was fine.

628
00:31:43,600 --> 00:31:45,560
Speaker 13: And then they get all the way down to like,

629
00:31:45,880 --> 00:31:47,920
Speaker 13: let's say twenty, and then they knock another ten percent

630
00:31:47,960 --> 00:31:50,120
Speaker 13: off and then they feel it and they go, oh, no,

631
00:31:50,720 --> 00:31:52,400
Speaker 13: you know what's happening. I'm never going to be able

632
00:31:52,400 --> 00:31:53,280
Speaker 13: to get off this drug.

633
00:31:53,360 --> 00:31:54,200
Speaker 9: And what are they feeling?

634
00:31:54,680 --> 00:31:57,200
Speaker 13: So what they're feeling is that they've reached this tipping

635
00:31:57,240 --> 00:32:00,840
Speaker 13: point where there's no longer this big satch duration of

636
00:32:00,960 --> 00:32:04,480
Speaker 13: leftover drug, you know, sitting between the neurons, and now

637
00:32:04,480 --> 00:32:08,280
Speaker 13: there's not that much left. So they're really feeling each reduction.

638
00:32:08,920 --> 00:32:12,160
Speaker 13: So and this is the part where people fail. When

639
00:32:12,200 --> 00:32:14,840
Speaker 13: you get to the lower doses of the drug, you

640
00:32:14,880 --> 00:32:17,320
Speaker 13: have to understand that you have to move much slower

641
00:32:17,400 --> 00:32:22,719
Speaker 13: so eventually when someone will hit this withdrawal is usually

642
00:32:22,720 --> 00:32:25,959
Speaker 13: when I tell them to go and get a liquid

643
00:32:26,000 --> 00:32:30,280
Speaker 13: formulation of the drug, because it's really hard to just

644
00:32:30,360 --> 00:32:33,280
Speaker 13: break the tablets in half. At that point you don't

645
00:32:33,400 --> 00:32:36,520
Speaker 13: really have the level of precision that you need. And

646
00:32:36,560 --> 00:32:38,840
Speaker 13: so let's say you had ten of prozac, you would

647
00:32:38,880 --> 00:32:42,000
Speaker 13: just get ten milligrams and put it into ten mili

648
00:32:42,120 --> 00:32:45,080
Speaker 13: liters of the drug and then because a syringe has

649
00:32:45,120 --> 00:32:48,600
Speaker 13: so many, like find gradations on the side, you can

650
00:32:48,680 --> 00:32:51,920
Speaker 13: actually lower it down with much greater precision than if

651
00:32:51,920 --> 00:32:54,760
Speaker 13: you were to be you know, breaking up a tablet.

652
00:32:54,960 --> 00:32:58,040
Speaker 13: And so from that point onwards, you might just have

653
00:32:58,120 --> 00:33:03,479
Speaker 13: someone remove one milligram you know, every two to three weeks,

654
00:33:04,240 --> 00:33:06,320
Speaker 13: and then they can go down like that. The key

655
00:33:06,360 --> 00:33:09,280
Speaker 13: point here is do not panic if you go into

656
00:33:09,320 --> 00:33:11,960
Speaker 13: withdrawal at the end. You probably need to go onto

657
00:33:11,960 --> 00:33:15,320
Speaker 13: a liquid formulation and then use a syringe to sort

658
00:33:15,360 --> 00:33:17,720
Speaker 13: of steadily bring it down. And that's the way you

659
00:33:17,760 --> 00:33:19,200
Speaker 13: can safely get someone off.

660
00:33:19,280 --> 00:33:22,320
Speaker 12: And what's the typical timeline for how long it takes

661
00:33:22,360 --> 00:33:24,440
Speaker 12: someone to fully get off a ne SSSR? Like, are

662
00:33:24,480 --> 00:33:25,520
Speaker 12: we talking about a year?

663
00:33:25,640 --> 00:33:26,680
Speaker 9: Two years? What is it?

664
00:33:27,160 --> 00:33:29,600
Speaker 13: I would say it's one to two years if someone's

665
00:33:29,640 --> 00:33:32,120
Speaker 13: been on them for like, you know, more than a

666
00:33:32,120 --> 00:33:32,800
Speaker 13: couple of years.

667
00:33:33,160 --> 00:33:36,320
Speaker 12: If somebody is experiencing brains apps as they're trying to

668
00:33:36,360 --> 00:33:38,400
Speaker 12: taper off, like, what's your recommendation for how to deal

669
00:33:38,440 --> 00:33:38,640
Speaker 12: with that?

670
00:33:38,880 --> 00:33:39,280
Speaker 2: Go up?

671
00:33:39,560 --> 00:33:41,960
Speaker 9: Okay, so you need to go back up on the Yeah.

672
00:33:41,800 --> 00:33:46,440
Speaker 13: Go back up. And this sort of links into one

673
00:33:46,480 --> 00:33:49,520
Speaker 13: of the problems with anydepressant withdrawal, which most people aren't

674
00:33:49,520 --> 00:33:52,880
Speaker 13: aware of, and it's a condition called protracted withdrawal. Now

675
00:33:54,000 --> 00:33:56,040
Speaker 13: this doesn't happen to everyone, but it's going to sound

676
00:33:56,120 --> 00:34:00,440
Speaker 13: really scary. This Actually most people are ok when they

677
00:34:00,440 --> 00:34:03,160
Speaker 13: go through abrupt withdrawals, but there is a fraction of

678
00:34:03,200 --> 00:34:05,800
Speaker 13: people out there that if they come off the medications

679
00:34:05,800 --> 00:34:08,520
Speaker 13: and they go into one of these bad withdrawal syndromes

680
00:34:08,560 --> 00:34:11,000
Speaker 13: like you mentioned with like brains apps, or they have

681
00:34:11,040 --> 00:34:14,719
Speaker 13: like really high anxiety that can almost be experienced like

682
00:34:14,760 --> 00:34:18,440
Speaker 13: a concussion or like a neurological injury. And so for

683
00:34:18,520 --> 00:34:22,239
Speaker 13: some people, when they have a lot of these withdrawal symptoms,

684
00:34:23,400 --> 00:34:26,880
Speaker 13: it doesn't get better even when they reinstate the drug,

685
00:34:27,520 --> 00:34:31,000
Speaker 13: and this can be a completely devastating condition that can

686
00:34:31,040 --> 00:34:33,719
Speaker 13: go on for years, and that's what I try and

687
00:34:33,760 --> 00:34:36,719
Speaker 13: do with these slow tapers, because it's not harmless to

688
00:34:36,800 --> 00:34:40,520
Speaker 13: just stop the drug in two months. It can, actually,

689
00:34:40,920 --> 00:34:45,360
Speaker 13: you know, it can cause really devastating problems.

690
00:34:45,400 --> 00:34:57,640
Speaker 8: And immediately nobody else thought about you, who's just twenty

691
00:34:57,680 --> 00:34:59,920
Speaker 8: four to seven flooding the zone. Back to my thirteen

692
00:35:00,040 --> 00:35:02,880
Speaker 8: year old owning this space every day, getting a convert

693
00:35:02,960 --> 00:35:05,920
Speaker 8: and then I'm thinking about we're gonna stand back and

694
00:35:06,120 --> 00:35:06,880
Speaker 8: watch you.

695
00:35:07,280 --> 00:35:08,480
Speaker 6: Run circles around us.

696
00:35:08,600 --> 00:35:11,279
Speaker 11: He said it best At Turning Point USA, we're relentless.

697
00:35:11,360 --> 00:35:15,720
Speaker 11: We're changing minds on campuses every semester, defending conservative values

698
00:35:15,920 --> 00:35:19,279
Speaker 11: and fighting for America's future. Your donation helps keep us

699
00:35:19,320 --> 00:35:22,880
Speaker 11: on campus. Join the movement and donate to TPUSA today.

700
00:35:24,800 --> 00:35:27,279
Speaker 1: Welcome back to Turning Point Tonight. We're together. We are

701
00:35:27,360 --> 00:35:29,960
Speaker 1: charting the course of America's cultural comeback. Like Charlie said,

702
00:35:30,000 --> 00:35:32,319
Speaker 1: you can go to TPUSA dot com and donate to

703
00:35:32,400 --> 00:35:36,000
Speaker 1: help keep conservative voices alive and well on college campus.

704
00:35:36,000 --> 00:35:38,160
Speaker 1: You can also find any of the events the Turning

705
00:35:38,160 --> 00:35:39,759
Speaker 1: Point is doing, including why to b a Less that

706
00:35:39,800 --> 00:35:43,000
Speaker 1: starts tomorrow in Dallas. If you are a woman, not

707
00:35:43,080 --> 00:35:46,200
Speaker 1: a man, a woman and not a man pretending to

708
00:35:46,239 --> 00:35:49,520
Speaker 1: be a woman either that no, an actual one. You

709
00:35:49,520 --> 00:35:52,080
Speaker 1: can go to that, I think TPSA dot com. Find

710
00:35:52,120 --> 00:35:53,920
Speaker 1: out if there's tickets still available. I know these things

711
00:35:54,000 --> 00:35:56,520
Speaker 1: sell out, so maybe they are. Maybe they are, don't

712
00:35:56,520 --> 00:35:58,440
Speaker 1: don't don't hold me to it in case there aren't.

713
00:35:58,600 --> 00:36:02,239
Speaker 1: You missed the boat, sorry lady, But why WLS is

714
00:36:02,239 --> 00:36:04,040
Speaker 1: happening this week, and I'm sure we'll have some fascinating

715
00:36:04,080 --> 00:36:07,560
Speaker 1: speeches from that next week here in Turning Point tonight. Also,

716
00:36:07,640 --> 00:36:11,040
Speaker 1: the Student Action Summit is happening in conjunction with the

717
00:36:11,080 --> 00:36:14,080
Speaker 1: Turning Point Academy Educator's Summit. Had to get all those

718
00:36:14,120 --> 00:36:16,879
Speaker 1: words straight in my head. That's happening in Tampa next

719
00:36:16,880 --> 00:36:20,480
Speaker 1: month again. Find out all of that information at TPUSA

720
00:36:20,719 --> 00:36:22,680
Speaker 1: dot com. You can also email the show anytime you

721
00:36:22,680 --> 00:36:25,560
Speaker 1: want TPT at TPUSA dot com. You can agree, whether

722
00:36:25,600 --> 00:36:27,839
Speaker 1: you can email, whether you agree or whether you're wrong.

723
00:36:28,040 --> 00:36:30,920
Speaker 1: We take all sorts of emails and read every single

724
00:36:31,160 --> 00:36:34,120
Speaker 1: last to the down of the punctuation. Every single thing

725
00:36:34,160 --> 00:36:37,560
Speaker 1: gets read TPT at TPUSA dot com. We haven't read

726
00:36:37,560 --> 00:36:39,640
Speaker 1: any emails in a while, and that's my fault. Maybe

727
00:36:39,719 --> 00:36:41,960
Speaker 1: we maybe we'll start getting back to that because I

728
00:36:42,000 --> 00:36:43,879
Speaker 1: know a lot of you guys have some insightful things

729
00:36:43,880 --> 00:36:46,800
Speaker 1: to say, including some of the folks that send stuff

730
00:36:46,920 --> 00:36:48,000
Speaker 1: like this to us.

731
00:36:49,280 --> 00:36:51,120
Speaker 2: It's throw down Thursday. I don't know if we have

732
00:36:51,120 --> 00:36:52,640
Speaker 2: the themews. Do we have the theme us to day

733
00:36:52,680 --> 00:36:54,239
Speaker 2: out there there we go?

734
00:36:56,840 --> 00:36:59,719
Speaker 1: Yes, but it's not your traditional throwdown Thursday where we

735
00:36:59,760 --> 00:37:03,520
Speaker 1: watch which conservatives generally usually Charlie or other people just

736
00:37:04,040 --> 00:37:08,200
Speaker 1: throw down with some libs. Ideologically speaking, obviously, nobody condone

737
00:37:08,280 --> 00:37:11,560
Speaker 1: physical violence, unless, of course, you're breaking the rules and

738
00:37:11,640 --> 00:37:14,120
Speaker 1: you need to have to impose those rules, like in

739
00:37:14,120 --> 00:37:18,799
Speaker 1: this particular instance. Now watch this clip. It may be

740
00:37:18,920 --> 00:37:22,840
Speaker 1: disturbing to some people. I don't think it will, but

741
00:37:22,840 --> 00:37:26,239
Speaker 1: but I will challenge you to do this. Try not

742
00:37:26,360 --> 00:37:29,760
Speaker 1: to laugh, because this is this is those of juicy

743
00:37:29,800 --> 00:37:31,120
Speaker 1: and good and great.

744
00:37:32,000 --> 00:37:57,919
Speaker 2: Hey, don't throw things at cops. Watch this. That video

745
00:37:58,040 --> 00:37:59,080
Speaker 2: is making the rounds on.

746
00:37:59,040 --> 00:38:03,120
Speaker 1: The internet all day today, and I just I couldn't

747
00:38:03,120 --> 00:38:05,640
Speaker 1: get enough of it. I also love the slowed down

748
00:38:05,760 --> 00:38:08,440
Speaker 1: version of it, where you can see there was literal

749
00:38:08,600 --> 00:38:14,560
Speaker 1: air bornness, like the dude who stupidly through whatever he

750
00:38:14,600 --> 00:38:16,440
Speaker 1: threw the cop just gets leveled.

751
00:38:16,560 --> 00:38:17,320
Speaker 2: And I love it.

752
00:38:17,360 --> 00:38:19,080
Speaker 1: And we'll talk in a little bit about why I

753
00:38:19,120 --> 00:38:21,239
Speaker 1: love it, But the main point I don't even know

754
00:38:21,280 --> 00:38:23,040
Speaker 1: who that guy was. If that was just a good

755
00:38:23,040 --> 00:38:27,120
Speaker 1: Samaritan or a cop. Whoever, it was good on you,

756
00:38:27,239 --> 00:38:29,920
Speaker 1: great form, And I think some NFL teams might be

757
00:38:30,200 --> 00:38:31,960
Speaker 1: ringing your phone just a little bit to see if

758
00:38:31,960 --> 00:38:34,600
Speaker 1: you might want to play for them, especially I don't

759
00:38:34,600 --> 00:38:36,920
Speaker 1: know the Seattle Seahawks. Who needs some help on defense?

760
00:38:37,640 --> 00:38:40,760
Speaker 1: I know from personal experience. But here's the reason why

761
00:38:40,800 --> 00:38:43,200
Speaker 1: we like that sort of thing. It's not that we

762
00:38:43,320 --> 00:38:47,160
Speaker 1: like people getting hurt. Nobody likes watching just a random

763
00:38:47,200 --> 00:38:50,600
Speaker 1: person get hurt, and if you do, I strongly would

764
00:38:50,920 --> 00:38:53,400
Speaker 1: recommend that you seek some sort of professional help. But

765
00:38:53,520 --> 00:38:55,600
Speaker 1: why that stuff is so much fun to watch is

766
00:38:55,640 --> 00:39:01,160
Speaker 1: because people like seeing justice done. Because that I clearly

767
00:39:01,200 --> 00:39:04,279
Speaker 1: and obviously committed a crime in real time and then

768
00:39:04,400 --> 00:39:06,920
Speaker 1: paid the price for that crime, that is what we

769
00:39:07,120 --> 00:39:09,360
Speaker 1: like to see. We get the same sort of enjoyment

770
00:39:09,640 --> 00:39:13,680
Speaker 1: when somebody who commits a heinous crime gets slapped with

771
00:39:13,719 --> 00:39:16,799
Speaker 1: a huge penalty for that crime. It's not that we

772
00:39:16,920 --> 00:39:20,200
Speaker 1: like to see violence. It's not that we're bloodthirsty animals

773
00:39:20,239 --> 00:39:23,319
Speaker 1: that really want to see someone get hurt. Now, maybe

774
00:39:23,360 --> 00:39:25,239
Speaker 1: you do in sort of a competitive sport like the

775
00:39:25,320 --> 00:39:28,080
Speaker 1: UFC or something like that. It's not what we're talking

776
00:39:28,120 --> 00:39:31,520
Speaker 1: about here specifically. What we're talking about is you like

777
00:39:31,680 --> 00:39:35,280
Speaker 1: to see the rules that we have all agreed.

778
00:39:34,960 --> 00:39:38,439
Speaker 2: Upon be upheld. That's what actually makes us feel good.

779
00:39:38,520 --> 00:39:41,200
Speaker 1: It's not that you want to see a person who

780
00:39:41,239 --> 00:39:43,279
Speaker 1: probably hit his head pretty hard on the ground, and

781
00:39:43,280 --> 00:39:45,279
Speaker 1: for that I don't really have much sympathy. Maybe don't

782
00:39:45,280 --> 00:39:47,439
Speaker 1: throw tho things at cops. Back to the earlier point.

783
00:39:47,760 --> 00:39:50,440
Speaker 1: But the reason why I think all of us really

784
00:39:50,520 --> 00:39:53,160
Speaker 1: enjoy seeing that sort of thing is not the violent.

785
00:39:52,840 --> 00:39:53,600
Speaker 2: Part of it.

786
00:39:53,600 --> 00:39:57,120
Speaker 1: It's that justice is being done in real time. It's

787
00:39:57,200 --> 00:40:00,480
Speaker 1: clear and net evident that this guy through something at

788
00:40:00,480 --> 00:40:04,120
Speaker 1: the cops and then karma struck back. And that's not

789
00:40:04,200 --> 00:40:07,600
Speaker 1: really karma, I recognize that, but it's justice being done,

790
00:40:08,320 --> 00:40:11,400
Speaker 1: or at the very least the guys being apprehended. Because

791
00:40:11,400 --> 00:40:15,440
Speaker 1: in so many cases you see people bombarding retail stores

792
00:40:15,840 --> 00:40:19,120
Speaker 1: and banks and whatever else you can steal things from

793
00:40:19,120 --> 00:40:21,360
Speaker 1: and nothing ever happens to them, and that it just

794
00:40:21,360 --> 00:40:24,799
Speaker 1: doesn't sit right with people who understand that Western civilization

795
00:40:24,880 --> 00:40:25,879
Speaker 1: requires order.

796
00:40:26,080 --> 00:40:28,439
Speaker 2: So that being said, that's why we love those sorts

797
00:40:28,440 --> 00:40:28,680
Speaker 2: of things.

798
00:40:28,760 --> 00:40:31,520
Speaker 1: That's why I've watched that on repeat a thousand times,

799
00:40:31,840 --> 00:40:33,680
Speaker 1: and we'll continue to do so throughout the rest of

800
00:40:33,719 --> 00:40:34,880
Speaker 1: the day. That's gonna do it for us here at

801
00:40:34,920 --> 00:40:37,120
Speaker 1: turning Point tonight. We will see it tomorrow. Charlie is

802
00:40:37,120 --> 00:40:40,839
Speaker 1: gonna take us out, same time, same place. Manyana, God

803
00:40:40,880 --> 00:40:51,799
Speaker 1: bless America.

804
00:40:51,960 --> 00:40:55,160
Speaker 11: Today, I have an amazing interview for you with my friend,

805
00:40:55,440 --> 00:40:58,640
Speaker 11: Professor Sean mcmeekon. We have a very in depth discussion

806
00:40:58,680 --> 00:41:02,080
Speaker 11: on Joseph Stalin, FDA are and how American liberals nearly

807
00:41:02,120 --> 00:41:06,000
Speaker 11: gave the country away to communists. It's super insightful. And

808
00:41:06,040 --> 00:41:08,680
Speaker 11: remember we have our Young Women's Leadership Summit at WHYWLS

809
00:41:08,719 --> 00:41:11,439
Speaker 11: twenty twenty five dot com. That's why WLS twenty twenty

810
00:41:11,480 --> 00:41:14,040
Speaker 11: five dot com. Make sure you attend our Young Women's

811
00:41:14,120 --> 00:41:17,960
Speaker 11: Leadership Summit starting tomorrow. I think you're gonna love this conversation.

812
00:41:18,239 --> 00:41:22,160
Speaker 11: Enjoy it, Okay, everybody, very special guest here and we're

813
00:41:22,160 --> 00:41:26,440
Speaker 11: gonna talk history communism, the rise, the fall, and then

814
00:41:26,480 --> 00:41:32,200
Speaker 11: the rise again with Professor Sean mcmeeeckon. Doctor mcmeekon, I

815
00:41:32,200 --> 00:41:36,279
Speaker 11: should say Sewan is absolutely Sean is fine. Yeah, we

816
00:41:36,320 --> 00:41:38,920
Speaker 11: have lots of these books are incredible accomplishments. You got

817
00:41:39,040 --> 00:41:43,040
Speaker 11: to write longer books. Well, yeah, I think that one's

818
00:41:43,040 --> 00:41:44,680
Speaker 11: a little longer than the other one. You're right, this

819
00:41:45,520 --> 00:41:49,279
Speaker 11: is incredible. I mean, this is I would love to

820
00:41:49,360 --> 00:41:50,880
Speaker 11: one day read it. I don't know if I have

821
00:41:51,560 --> 00:41:54,000
Speaker 11: the time, but I mean, look at the amount of

822
00:41:54,040 --> 00:41:56,440
Speaker 11: the bibliography here alone is like one hundred pages long.

823
00:41:56,600 --> 00:41:58,600
Speaker 14: It's pretty long, believe it or. I actually cut about

824
00:41:58,640 --> 00:42:01,160
Speaker 14: forty thousand words from the original draft of that book

825
00:42:01,200 --> 00:42:03,399
Speaker 14: and it still ended up more than eight hundred pages long.

826
00:42:03,520 --> 00:42:06,439
Speaker 11: So well, congratulations. I want to talk about this book

827
00:42:06,480 --> 00:42:09,680
Speaker 11: in particular and the theme which I love to overthrow

828
00:42:09,719 --> 00:42:13,600
Speaker 11: the world, the rise and fall and rise of communism.

829
00:42:14,360 --> 00:42:15,800
Speaker 2: What is this book about.

830
00:42:16,160 --> 00:42:19,200
Speaker 14: Well, so, after the fall of the Soviet Union, there

831
00:42:19,280 --> 00:42:23,200
Speaker 14: was a period of even almost called triumphalism. The most

832
00:42:23,239 --> 00:42:26,080
Speaker 14: famous phrase was probably Francis Fukuyamas talking about in the

833
00:42:26,200 --> 00:42:29,000
Speaker 14: history we had this image of Yeltsin bellowing on the tank.

834
00:42:29,320 --> 00:42:31,719
Speaker 14: It looked like communism was dead, buried finish. There was

835
00:42:31,760 --> 00:42:35,440
Speaker 14: even talk about this kind of Nuremberg trial for Communism

836
00:42:35,440 --> 00:42:37,960
Speaker 14: that everyone was maybe hoping for, wishing would happen. In

837
00:42:38,000 --> 00:42:40,960
Speaker 14: the same way that the Nurmberg Trials helped put Nazism

838
00:42:41,000 --> 00:42:43,640
Speaker 14: to rest and ruin and destroy its reputation forever. That

839
00:42:43,680 --> 00:42:46,560
Speaker 14: didn't quite happen, though, I mean I discovered when I

840
00:42:46,800 --> 00:42:48,160
Speaker 14: look into it all though I lived through it.

841
00:42:48,160 --> 00:42:48,560
Speaker 2: At the time.

842
00:42:48,600 --> 00:42:51,000
Speaker 14: I remember hearing about how the Communist Party was vaguely

843
00:42:51,000 --> 00:42:53,240
Speaker 14: on trial in Russia, but the details were a little murky.

844
00:42:53,600 --> 00:42:56,080
Speaker 14: I learned later what had actually happened in nineteen ninety

845
00:42:56,080 --> 00:42:59,800
Speaker 14: two was that the Communist Party had sued Boris Yeltsen

846
00:43:00,400 --> 00:43:03,440
Speaker 14: because he had outlawed the Communist Party and his position,

847
00:43:03,480 --> 00:43:05,319
Speaker 14: effectively was it wasn't just a party, it was kind

848
00:43:05,320 --> 00:43:09,120
Speaker 14: of this criminal organization, conspiracy fusing together with state structures

849
00:43:09,400 --> 00:43:12,960
Speaker 14: to produce this totalitarian impression. And they did talk about

850
00:43:13,040 --> 00:43:14,480
Speaker 14: some of this at the trial. But in the end,

851
00:43:14,520 --> 00:43:18,560
Speaker 14: here's the thing. The Communist Party won and they were relegalized,

852
00:43:18,600 --> 00:43:20,640
Speaker 14: and very soon they were actually the largest political party

853
00:43:20,680 --> 00:43:23,480
Speaker 14: again in the Russian Federation, and they very nearly defeated

854
00:43:23,560 --> 00:43:26,800
Speaker 14: Yeltsin in the ninety six selections. We also had China,

855
00:43:26,800 --> 00:43:28,799
Speaker 14: of course, I mean, that was the discordant part about

856
00:43:28,800 --> 00:43:31,359
Speaker 14: the story from the outset. If history had supposedly ended

857
00:43:31,360 --> 00:43:34,840
Speaker 14: with this Western triumph. Why did we have Tianneman Square

858
00:43:35,640 --> 00:43:39,480
Speaker 14: in nineteen eighty nine in China made jun nineteen eighty nine,

859
00:43:39,520 --> 00:43:44,120
Speaker 14: this incredibly dark storing this massacre in the streets of Beijing.

860
00:43:44,800 --> 00:43:47,440
Speaker 14: And then of course the CCP endurers in China to

861
00:43:47,480 --> 00:43:50,560
Speaker 14: this day, and you know, is given the world many

862
00:43:50,640 --> 00:43:54,120
Speaker 14: treats over the past a few decades, the COVID lock given.

863
00:43:54,440 --> 00:43:54,720
Speaker 2: Yeah.

864
00:43:54,800 --> 00:43:59,040
Speaker 11: So, first of all, congratulations on your work. I know

865
00:43:59,440 --> 00:44:03,120
Speaker 11: dangerously little about this, but we'll we'll try. Compared to you,

866
00:44:03,160 --> 00:44:04,560
Speaker 11: I know more than the guy in the street. But

867
00:44:05,160 --> 00:44:07,759
Speaker 11: so is it one of the reasons, such a great point,

868
00:44:07,800 --> 00:44:10,200
Speaker 11: I've never thought of it, that there was this clear

869
00:44:10,280 --> 00:44:13,280
Speaker 11: like we must put the philosophy of fascism on trial

870
00:44:13,440 --> 00:44:16,200
Speaker 11: in Nuremberg to put it to rest. Is one of

871
00:44:16,239 --> 00:44:21,400
Speaker 11: the reasons that never happened. Because the intelligentsia of the

872
00:44:21,440 --> 00:44:25,200
Speaker 11: West actually agreed with a lot of communistic Marxist precepts.

873
00:44:25,400 --> 00:44:26,839
Speaker 2: I think there's something to that.

874
00:44:27,680 --> 00:44:30,680
Speaker 14: The pretense of communism, of course, was always that they

875
00:44:30,719 --> 00:44:32,799
Speaker 14: were going to create this better world. It was a

876
00:44:32,840 --> 00:44:36,120
Speaker 14: sort of universal ideal, an ideal that of course has

877
00:44:36,200 --> 00:44:38,319
Speaker 14: led to a lot of death and destruction, but an

878
00:44:38,360 --> 00:44:39,680
Speaker 14: ideal many people believed in.

879
00:44:39,719 --> 00:44:41,680
Speaker 2: They thought inequality is wrong.

880
00:44:42,160 --> 00:44:44,520
Speaker 14: They thought it's it's not fair that the rich have

881
00:44:44,640 --> 00:44:46,279
Speaker 14: too much and the poor have too little, and that

882
00:44:46,360 --> 00:44:48,320
Speaker 14: some people don't have enough to eat. And this idea

883
00:44:48,640 --> 00:44:52,319
Speaker 14: that a vague version of this idea will always I think,

884
00:44:52,360 --> 00:44:55,600
Speaker 14: appeal particularly to younger people, you know, believe in whatever

885
00:44:55,600 --> 00:44:58,799
Speaker 14: the phrase is, social justice or equity. I mean, we

886
00:44:58,840 --> 00:45:00,920
Speaker 14: know that these words are loaded, but there's always some

887
00:45:01,080 --> 00:45:03,200
Speaker 14: kind of sympathy I think that people have for this idea.

888
00:45:03,280 --> 00:45:06,680
Speaker 14: Whereas Nazism is a little bit harder to defend because

889
00:45:07,160 --> 00:45:10,200
Speaker 14: it was a little more specific to one nation, to

890
00:45:10,280 --> 00:45:13,880
Speaker 14: one race, and it seemed to be chauvinistic and aggressive

891
00:45:13,960 --> 00:45:18,280
Speaker 14: and was associated with military aggression. It was not something

892
00:45:18,320 --> 00:45:21,040
Speaker 14: that had a lot of admirers really out there across Europe.

893
00:45:21,040 --> 00:45:24,279
Speaker 14: There were fascists, of course, but meaning once Hitler was

894
00:45:24,320 --> 00:45:27,400
Speaker 14: defeated and of course committed suicide and basically it was

895
00:45:27,440 --> 00:45:30,960
Speaker 14: no longer there, Nazism pretty much just died. It's not

896
00:45:31,040 --> 00:45:33,480
Speaker 14: like there were people are always saying they're Nazis under

897
00:45:33,480 --> 00:45:35,279
Speaker 14: your bed and so on, but in fact Nasim has

898
00:45:35,320 --> 00:45:39,800
Speaker 14: been basically dead and disappeared since nineteen forty five. Communism, unfortunately,

899
00:45:39,800 --> 00:45:41,440
Speaker 14: I think, in some form or other, will always be

900
00:45:41,480 --> 00:45:44,240
Speaker 14: with us, just because the idea continues to appeal.

901
00:45:44,480 --> 00:45:47,160
Speaker 11: Let's define our terms, because I think that is one

902
00:45:47,200 --> 00:45:51,319
Speaker 11: of the struggles. What is communism, Where does it come from?

903
00:45:51,320 --> 00:45:54,080
Speaker 11: And has it actually ever been fully implemented?

904
00:45:54,360 --> 00:45:55,360
Speaker 2: Well, it's a great question.

905
00:45:55,920 --> 00:45:59,480
Speaker 14: There are certain almost dictionary definitions you could start with.

906
00:45:59,520 --> 00:46:01,680
Speaker 14: You could try out the manifest of the Communist Party

907
00:46:01,680 --> 00:46:04,279
Speaker 14: authored by marxsan Engles back in eighteen forty eight, where

908
00:46:04,280 --> 00:46:06,840
Speaker 14: there's actually a program. They talk about things like the

909
00:46:06,880 --> 00:46:10,319
Speaker 14: abolition of private property and exchange and credit, the centralization

910
00:46:10,480 --> 00:46:13,640
Speaker 14: of industry, of banking, they called it credit.

911
00:46:13,680 --> 00:46:15,200
Speaker 6: That was the word they used.

912
00:46:15,320 --> 00:46:21,000
Speaker 14: Industrial armies for agriculture. The centralization of the means of transport, communication,

913
00:46:21,120 --> 00:46:25,520
Speaker 14: which basically means the government controls, the media, controls everything.

914
00:46:25,640 --> 00:46:27,719
Speaker 14: Today it might be even broader than them, might be

915
00:46:27,719 --> 00:46:30,759
Speaker 14: the internet, or it might be airplane travel. In that day,

916
00:46:30,800 --> 00:46:34,000
Speaker 14: it probably would be the main roads, the main railroads,

917
00:46:34,000 --> 00:46:36,480
Speaker 14: the main avenues. Communication, that is, government control of a

918
00:46:36,600 --> 00:46:39,759
Speaker 14: large part of the economy, and the destruction or eradication

919
00:46:39,840 --> 00:46:43,319
Speaker 14: of private property. In practice, most communists regimes tried to

920
00:46:43,360 --> 00:46:45,800
Speaker 14: do this to one extent or another. They actually would

921
00:46:45,800 --> 00:46:48,840
Speaker 14: go out and they would, for example, nationalize the banks,

922
00:46:48,840 --> 00:46:51,920
Speaker 14: which effectively meant nationalizing people's bank accounts, often.

923
00:46:51,800 --> 00:46:52,520
Speaker 2: Their private savings.

924
00:46:52,560 --> 00:46:55,520
Speaker 14: I mean in Russia they actually had an agency devoted

925
00:46:55,520 --> 00:46:58,040
Speaker 14: to safe cracking, so they could crack into people's private

926
00:46:58,080 --> 00:47:01,080
Speaker 14: bank accounts. They would try to nation lies agriculture, they

927
00:47:01,080 --> 00:47:06,000
Speaker 14: would create these collective farms or state controlled farms. In practice,

928
00:47:06,040 --> 00:47:09,200
Speaker 14: none of these regimes ever quite succeeded. The Soviets in

929
00:47:09,239 --> 00:47:12,040
Speaker 14: the Chinese probably came closest or maybe in an even

930
00:47:12,120 --> 00:47:15,640
Speaker 14: more I think draconian and dark way, the Khmer Rouge

931
00:47:15,640 --> 00:47:19,600
Speaker 14: and Cambodian completely eradicating the private sector. But the fact

932
00:47:19,640 --> 00:47:22,080
Speaker 14: is it's impossible to do that. Everyone would basically starve,

933
00:47:22,160 --> 00:47:24,800
Speaker 14: and so you've always had some variety of a black

934
00:47:24,840 --> 00:47:28,880
Speaker 14: market or people trading on the sly black markets appearing,

935
00:47:29,000 --> 00:47:33,480
Speaker 14: and food stuffs and things like used cars to grease

936
00:47:33,520 --> 00:47:34,319
Speaker 14: the wheels.

937
00:47:33,960 --> 00:47:34,560
Speaker 2: Of the economy.

938
00:47:34,600 --> 00:47:37,160
Speaker 14: Because without that, and this very nearly happened in Rush

939
00:47:37,200 --> 00:47:38,960
Speaker 14: in the early days after the revolution, the economy just

940
00:47:39,000 --> 00:47:41,759
Speaker 14: basically collapsed. By nineteen twenty one, you had mass famine,

941
00:47:41,920 --> 00:47:44,880
Speaker 14: you had an industrial collapse, manufacturing collapse, the economy just

942
00:47:44,960 --> 00:47:48,000
Speaker 14: basically didn't work, and so for a while in Russia,

943
00:47:48,000 --> 00:47:50,479
Speaker 14: amazingly in the twenties, they actually tried to bring back

944
00:47:51,200 --> 00:47:53,440
Speaker 14: what they called They called it a new economic policy,

945
00:47:53,440 --> 00:47:56,000
Speaker 14: but basically it was a kind of modified capitalism, and

946
00:47:56,000 --> 00:47:57,919
Speaker 14: they allowed people to buy and sell again, because without

947
00:47:57,920 --> 00:47:59,960
Speaker 14: that everyone would have again, they would have starved.

948
00:48:01,440 --> 00:48:02,320
Speaker 11: Then fish