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Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George

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Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty.

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Speaker 2: Armstrong and Jettie I know he.

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Speaker 1: Armstrong and Yetty.

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Speaker 3: We are a country that has been voting against We

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Speaker 3: voted against Hillary Clinton at sixteen and got Trump. We

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Speaker 3: voted against Trump and twenty and got Biden. I think

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Speaker 3: this is another vote against election out of vote four.

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Speaker 3: This isn't we sit here we think it's about all

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Speaker 3: these issues. This is really a cultural like this is

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Speaker 3: people believe they're voting for a way of life. A

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Speaker 3: good chunk of both sides of this, which is why

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Speaker 3: nothing gets resolved after Tuesday Night.

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Speaker 4: I thought that was a pretty good point for Chuck

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Speaker 4: Todd and clearly where we are. And Joe explained why

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Speaker 4: it is that way in America in our two I guess.

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Speaker 1: If you missed it, grab the podcast Armstrong and Getting

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Speaker 1: on demand.

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Speaker 4: Since Congress, since Congress doesn't do their job anymore, and

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Speaker 4: the President takes the reins of so many different parts

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Speaker 4: of government, and government's more involved in our life than

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Speaker 4: it's ever been. And then you add in the weird

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Speaker 4: obsession with attaching yourself to the personality of whichever candidate. Yeah,

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Speaker 4: people are voting feel like they're voting for a way

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Speaker 4: of life and they didn't get their way of life

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Speaker 4: choice if the other person wins.

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Speaker 1: So no, we'll not worry, right, right, And you know,

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Speaker 1: in at least a partial defense of people who are

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Speaker 1: going nuts over the election, it was not many years

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Speaker 1: ago at all that there was a huge overlap in

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Speaker 1: terms of policies and attitudes between Democrats and Republicans. I

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Speaker 1: mean a huge overlap. Now there's very very little, and

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Speaker 1: to my mind, the outward end of the Democratic Party,

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Speaker 1: the out to the left end, is utterly insane in

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Speaker 1: a way that a Bill Clinton, that Jimmy Carter never were.

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Speaker 1: They were wrong about some stuff, but they weren't out

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Speaker 1: of their minds. Men should play in women's sports if

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Speaker 1: they say they're a girl, that's freaking crazy. Tax Payers

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Speaker 1: ought to pay for sex change surgeries for illegal immigrant murderers.

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Speaker 2: That's looney to you.

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Speaker 1: Ought to be locked up with the aforementioned confused, you know,

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Speaker 1: murderer if you think that's a good idea in my opinion.

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Speaker 4: Well, and obviously having our border this open for the

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Speaker 4: last couple of years is unprecedented. Also, yeah, so the

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Speaker 4: whole polling thing, and not individual polls, but just polling

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Speaker 4: in general.

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Speaker 2: I hope we're all learning a lesson.

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Speaker 4: This polling isn't it's being portrayed or has been portrayed

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Speaker 4: in recent years and is something it's not. And everybody

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Speaker 4: got off track. So there is this all this the

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Speaker 4: polls are wrong. I don't even believe the polls and

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Speaker 4: pulls are wrong. They're not. Nobody ever said that they

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Speaker 4: could be right. Really, it's not a thing. I was

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Speaker 4: listening to Chris Steierwaldt, formerly a Fox Now of News Nations.

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Speaker 4: Pulling guy said works for stuff like opinions of how

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Speaker 4: do you like the new Coke zero can? And if

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Speaker 4: you get like sixty five percent of people in a

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Speaker 4: focus group like the new can or not, then you

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Speaker 4: keep it. If you don't, but if it's off by

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Speaker 4: five percent, it doesn't matter. You got the general direction

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Speaker 4: of people who like the new can or not. That's

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Speaker 4: that's the best pretty much you can do with asking

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Speaker 4: people questions. It's not designed to drill down to a percentage,

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Speaker 4: like the single percentage of whether or not it's right

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Speaker 4: or not. It's just like in general, do people like, uh,

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Speaker 4: you know the state of Arizona or Audi Cars or

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Speaker 4: whatever your example.

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Speaker 1: Is, and too hot and sandy by the way, Arizona.

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Speaker 4: But when you get down to you know, close elections,

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Speaker 4: it's not even it's not even supposed to. They would

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Speaker 4: never the good pulling organizations never even claim that they

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Speaker 4: can do that.

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Speaker 1: Right, As I've said, it's a shotgun, not a not

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Speaker 1: a rifle, which Trump would probably point at Liz Cheney

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Speaker 1: from what I understand. More on that to come.

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Speaker 4: Yeah, But so we started talking last weekend as Christyle

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Speaker 4: or Chris Steyerwalt Nate Silver and some of the other

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Speaker 4: good poles are start talking about the herding that they

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Speaker 4: think is going on. Herding as in like a cattle herd,

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Speaker 4: it's just either on purpose to influence the polls a

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Speaker 4: certain direction, or more likely you just kind of a

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Speaker 4: little bit out of cowardice. Nobody wants to put out

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Speaker 4: a pole that's way out of what everybody else is doing.

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Speaker 4: And so kind of like with herding, you don't know

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Speaker 4: exactly know which cow started the herd run in that direction,

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Speaker 4: but some cows did, and then the other cow started

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Speaker 4: following it, and that's way it is with this the

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Speaker 4: super close poles, and nobody wants to come out and be,

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Speaker 4: you know, and say our pole has Trump up by

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Speaker 4: seven or behind by seven, because you're just gonna get

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Speaker 4: killed all day long by one side or the other.

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Speaker 2: Nobody wants to do that.

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Speaker 4: And Nate Silver believes that they're they're they're adjusting their

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Speaker 4: polls to try to keep them really close. And he says,

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Speaker 4: they ran the numbers on the averages of the big poles.

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Speaker 4: Even if all seven swing states are actually tied, there's

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Speaker 4: only a one to nine point five trillion chance that

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Speaker 4: so many poles would show such a close race at

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Speaker 4: any one time.

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Speaker 2: So, in other words, it's impossi it's impossible.

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Speaker 4: Yes, it's impossible that all the poles would show, you know,

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Speaker 4: every poll say yep, we've got it less than one

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Speaker 4: percent in every state to US today, US two.

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Speaker 1: It's impossible, which follow them, okay, okay, And yet they

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Speaker 1: are claiming that very thing, wow, right, which is interesting.

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Speaker 4: And then you have and don't need to belabor this,

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Speaker 4: but then you had the Iowa poll come out yesterday

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Speaker 4: with the single most respected in America, this woman that

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Speaker 4: everybody trusts, and one of the reasons she's been doing

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Speaker 4: it for so long and getting so much attention is

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Speaker 4: you know, I was the first date in all the primaries,

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Speaker 4: so they got more polling going on there than anywhere else.

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Speaker 2: In the country for ever since I always been the

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Speaker 2: first state.

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Speaker 4: AnyWho, they had a giant, giant swing, and she was

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Speaker 4: just explaining the Polster all day long. That's that's what

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Speaker 4: we got. That's the way polls should work. You get

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Speaker 4: big swings and you have to take them all in

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Speaker 4: and look for trends and this and that.

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Speaker 1: But yeah, yeah, so the fix is clearly in. And

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Speaker 1: I don't think it's partisanship all the way it could.

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Speaker 1: I'm not saying I know that it's not. But to me,

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Speaker 1: it's like other industries, including the one we're in, where

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Speaker 1: you will never get fired for doing the same thing

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Speaker 1: everybody else is doing. If, on the other hand, you

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Speaker 1: take a chance and it doesn't work out, or you

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Speaker 1: publish a poll that says Trump's ahead by seven and

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Speaker 1: then maybe he loses or something like that, you take

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Speaker 1: a risk of losing your If you just you know,

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Speaker 1: run along mooing with the rest of the herd, you're

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Speaker 1: gonna be fine.

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Speaker 4: Right, So Nate Silver, the great respected pollster, tweeting about

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Speaker 4: this lot, and he's gotten in a whole bunch of

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Speaker 4: fights with a lot of other polling organizations over this

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Speaker 4: over the last four or five days. But he said,

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Speaker 4: waiting is a your polls to try to bring them

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Speaker 4: in the line. Is a form of hurting. It's a

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Speaker 4: way to ensure your polls never get too far out

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Speaker 4: of line with the consensus at any time or the

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Speaker 4: previous election. And it's just, you know, it's like what

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Speaker 4: you just described, it's just it keeps you out of trouble.

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Speaker 1: Yeah. Yeah, And I don't think anybody cares. But just

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Speaker 1: very briefly, the point is that the rub is trying

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Speaker 1: to predict turnout who's actually going to turnout? And if

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Speaker 1: using your turnout algorithm, you have Trump ahead by seven

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Speaker 1: like just coming out, you'll think, oh, our turnout algorithm

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Speaker 1: must be wrong. Let's go ahead and tweak that. And

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Speaker 1: nobody accuses you of tweaking the ultimate result. But that's

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Speaker 1: what you've done. You've seen the ultimate result and you've

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Speaker 1: reverse engineered a more run of the mill numbers so

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Speaker 1: you don't lose your job. So quit obsessing with holes.

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Speaker 4: America well, yeah, we have to because they're not actually

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Speaker 4: giving us information, is the thing. So, as Brett Behar

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Speaker 4: said on Fox This Morning, there are four results that

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Speaker 4: are possible. Trump by a little Harris, by a little Trump,

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Speaker 4: and a landslide, Harrison a landslide.

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Speaker 2: Those are really your four. I mean, it's just that

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Speaker 2: it's gonna be those things.

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Speaker 4: It's gonna be like a solid win for one of

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Speaker 4: the other or really close for one of the other.

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Speaker 4: In other words, we haven't got the slightest idea going

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Speaker 4: into tomorrow how it's going to turn out. I know,

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Speaker 4: I don't feel any more like it's one way or

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Speaker 4: the other. I will be surprised if Trump loses, but

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Speaker 4: I don't know if I've got a solid reason for.

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Speaker 2: Why I think that.

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Speaker 1: No, I've feeled that question many many times in real

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Speaker 1: life lately. Joe, what do you think is going to happen?

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Speaker 1: I say, I think Trump's gonna win, but my level

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Speaker 1: of certainty is roughly fifty two forty eight.

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Speaker 2: There is you can make the argument like we did

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Speaker 2: last week.

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Speaker 4: I mean, he can make the argument that women continue

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Speaker 4: to be so motivated by the Dobbs decision that you

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Speaker 4: get some really crazy turnouts and results like have happened

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Speaker 4: in a whole bunch of states in the last couple

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Speaker 4: of years, including my home state of Kansas, which has

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Speaker 4: always been pretty red. But man, they had a heck

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Speaker 4: of a turnout on the blue side for the last

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Speaker 4: go around of abortion voting.

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Speaker 2: So that could happen.

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Speaker 1: Fellas, if your wife is really fired up about that issue,

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Speaker 1: is going to vote for Kamala Harris, here's what you do.

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Speaker 1: Tell her Calm down, Calm down, because that always works

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Speaker 1: with women.

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Speaker 4: Or it's really oversimplify it. Trump could win easily and

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Speaker 4: it'll be Yeah, because my freaking groceries costs one hundred

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Speaker 4: and fifty bucks the other day the end.

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Speaker 1: Yeah, no kidding, How was he How was she gonna

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Speaker 1: win with that? Yeah?

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Speaker 5: We know.

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Speaker 1: They have insurance policies for you if your player gets hurt,

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Speaker 1: don't worry about it. All sorts of good stuff once again.

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Speaker 1: You use that code code Armstrong the prize picks app

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Speaker 1: prize picks, run your game.

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Speaker 2: No, yeah, so you.

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Speaker 4: Were getting some text about that. I don't think it

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Speaker 4: is biased. I don't think it's poles that really want

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Speaker 4: Common to win. I think is what Joe described and

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Speaker 4: what Nate Silver is describing. It's just we don't want

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Speaker 4: to stick our necks out. If everybody's saying it's close,

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Speaker 4: we're going to say it's close to then continue to

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Speaker 4: be a viable organization in the world of polling.

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Speaker 1: Yeah, they're like other people. They just want to keep

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Speaker 1: their jobs. Yeah, well, I had a charming anecdote, but

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Speaker 1: we don't really have time.

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Speaker 2: We've got an hour and forty two minutes.

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Speaker 1: What wait a minute, show me the contract. He's right,

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Speaker 1: all sorts of great stuff, gender bending, madness, California's crumbling.

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Speaker 1: What do you want out of me? I got it

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Speaker 1: all for you? Do you got it?

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Speaker 4: What do you think of Trump having that entire a

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Speaker 4: women's sports team up with him on the I thought

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Speaker 4: it was brilliant. That is boy, you talk about an

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Speaker 4: issue that is an easy win.

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Speaker 1: And granted I am a zealot on the issue of

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Speaker 1: protecting women, protecting women's spaces, protecting women's sports. But it

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Speaker 1: is growing and growing and growing. It's powerful and it's primal.

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Speaker 1: You don't have to explain tax rates to people. Dudes

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Speaker 1: are playing in girls' sports and beating the hell out

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Speaker 1: of them. It's pretty easy to grasp. Yeah, we got

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Speaker 1: an update on the San Jose State women's volleyball thing too,

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Speaker 1: that continues to grow. That could be the no offense

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Speaker 1: intended on any level, but the Rosa Parks awareness growing

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Speaker 1: test case that makes people think, hey, this isn't right.

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Speaker 4: Yeah, definitely could be a lot on the way. Stay here.

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Speaker 4: Kamala herself shows up on Saturday Night Live in the

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Speaker 4: open and then the FCC commissioner came out and said

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Speaker 4: equal time.

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Speaker 2: You can't do that, it's against rules.

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Speaker 4: NBC had to give Trump some time during Sunday Night

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Speaker 4: Football last night, which I think is a bigger gift

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Speaker 4: than Saturday Night Live and the NASCAR too, and so

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Speaker 4: I think that's a win for Trump there. Anyhow, they

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Speaker 4: did their usual impersonations. Maybe we'll play the Trump impersonation later.

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Speaker 4: It's pretty funny Dana Carvey doing Biden here.

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Speaker 5: Oh there, it's me.

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Speaker 2: No Joe thank you for coming here to support me.

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Speaker 5: Marsh my train was stopping here, so I'm being serious

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Speaker 5: right now. And by the way, just good to be

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Speaker 5: back on my home turf. Guess what, As you know,

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Speaker 5: I'm from the part of Pennsylvania, there's a part of

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Speaker 5: the state of Delaware.

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Speaker 1: Well, so thank you so much for all you've done

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Speaker 1: for my campaign.

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Speaker 5: I can still do more and get out there and

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Speaker 5: I can say more things.

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Speaker 1: Thank you so much, astralume time for my campaign.

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Speaker 2: All right, I get it.

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Speaker 5: Come on, let's get real proud of you.

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Speaker 1: You got nothing to worry about. Come on, thanks Joe.

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Speaker 5: All right, you know what, I saw a bunch of

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Speaker 5: reporters and cams out there. I'm gonna go raf.

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Speaker 4: The fact that the current president is being portrayed as

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Speaker 4: a guy who just locks up and stairs at the

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Speaker 4: camera and everybody laughs because it's true is an interesting

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Speaker 4: moment in history.

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Speaker 1: I read something really delicious about the finger pointing that's

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Speaker 1: going on before the election has decided about who lost

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Speaker 1: it for Harris, which is, you know, interesting in itself.

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Speaker 1: But one of the signs of that fracas is the

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Speaker 1: Biden loyalists who are complaining that they should have used

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Speaker 1: him more and gotten them out there, and I'm thinking,

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Speaker 1: what are you talking about. Well, he came out like

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Speaker 1: saying the you know the the Cowboys would have won

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Speaker 1: if they utilized the drop kick. What.

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Speaker 4: Well, he came out twice in the last several days.

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Speaker 4: One he made the they're all garbage comment that got

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Speaker 4: her in trouble, and then this one.

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Speaker 6: But I'm serious, these are the kind of guys you're

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Speaker 6: like to smacking.

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Speaker 2: Ass I've got portrayed.

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Speaker 4: I think that actually was good Biden stuff for his

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Speaker 4: crowd that hates Trump and everything. I think that was

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Speaker 4: typical Joe Biden, tough guy talking to union people's stuff.

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Speaker 2: I don't think that was a little homo erotic for me.

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Speaker 1: I don't see that as a whichever way you swing right, No, no,

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Speaker 1: it just seems silly to me. The idea that this

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Speaker 1: guy would be the candidate at this point, it's horrifying.

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Speaker 1: In a couple of months ago, they were telling us, no,

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Speaker 1: it's absolutely I can't even keep up with him. Just idiotic.

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Speaker 1: Speaking of Joe Biden and the Bidenomics, at least at Finley,

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Speaker 1: one of the trio of absolutely terrific female columnists for

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Speaker 1: The Wall Street journal with a great takedown not only

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Speaker 1: of the media, but the explanation of something that the

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Speaker 1: lefty media just can't comprehend. And that's what the economists

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Speaker 1: called the irrational gloominess of the American voter in terms

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Speaker 1: of economics, what Yes, Yeah, outpouring of similar commentary, the

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Speaker 1: economy is glorious, as communist columnist Paul Krugman of The

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Speaker 1: New York Times, if you disagree, you're a dense partisan,

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Speaker 1: refuses to give prize in Briden credit for anything, And

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Speaker 1: Alicia Finley says, yeah, I've gotten a lot of emails

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Speaker 1: to that effect too. But then she points out, and

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Speaker 1: this should be known, economy Biden's economy has been glorious

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Speaker 1: for affluent liberals. It's been awful for the working class.

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Speaker 1: Socioeconomic disparities have grown owing to the policies that were

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Speaker 1: supposed to shrink them. The well to do got wealthier

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Speaker 1: while the rest got poorer. Long and short of it,

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Speaker 1: and it's proved out by many statistics is if you

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Speaker 1: are on the wealthier end of things, all of your

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Speaker 1: stocks and four oh one k's and investments and the

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Speaker 1: value of your home they've all skyrocketed. But if you're

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Speaker 1: just living paycheck to paycheck, even reasonably well, paycheck to paycheck.

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Speaker 1: All you know is that your prices are up like

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Speaker 1: twenty percent, your pays up half that well.

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Speaker 4: I sent Joe a thing from the inflation calculator yesterday

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Speaker 4: about salaries and how much they've gone down since twenty nineteen.

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Speaker 2: What your salaries were?

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Speaker 4: You want to depress yourself, Take your cup salary or,

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Speaker 4: assuming it hasn't changed much like a lot of people's

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Speaker 4: in the last three years, plug it into an inflation calculator,

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Speaker 4: and see how much less you make now than you

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Speaker 4: did just a couple of years ago.

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Speaker 2: It's shocking. It's shocking.

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Speaker 1: So spending among folks making less than sixty thousand dollars

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Speaker 1: is up eight percent. If you make more than one

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Speaker 1: hundred thousand dollars, it's up seventeen percent. In short, the

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Speaker 1: more money you have, the more you're throwing it around

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Speaker 1: and living a pretty good life and doing fine. But

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Speaker 1: working class in america's absolutely not and lefty journalism doesn't

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Speaker 1: have any friends in that world, so they're unaware of it.

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Speaker 1: It's amazing.

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Speaker 4: We've got a lot more to catch you up on

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Speaker 4: with the election tomorrow, when will we know what to.

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Speaker 2: Result arm Strong and Getty. So on election night, don't

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Speaker 2: expect to know the winner.

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Speaker 4: We probably will have a pretty good idea who won

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Speaker 4: the presidency, maybe around Thursday or Friday.

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Speaker 1: Hmm.

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Speaker 4: Okay, if that's the way it starts to unfold tomorrow,

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Speaker 4: I might just turn off the TV because you will,

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Speaker 4: you will, I think, literally be taking in no useful

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Speaker 4: information about the presidential election. I mean, it'll all be

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Speaker 4: just conjecture and the you know, the the what if

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Speaker 4: this happens, this could happen, If this happens there, you know,

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Speaker 4: just and if you enjoy that, fine, but there's no

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Speaker 4: point in it.

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Speaker 2: So I'm it might be a.

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Speaker 4: Really early night for for turning off the coverage if

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Speaker 4: unless it's going to be a blowout one way or another.

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Speaker 2: Here's something I just came across I hadn't thought of though.

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Speaker 4: As we know, this could be a hell of a

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Speaker 4: legal battle if Harris loses or is losing. The Democrats

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Speaker 4: are the party of lawyers and lawsuits, and they could

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Speaker 4: really turn this up to eleven in terms of never

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Speaker 4: ending challenges all over the place.

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Speaker 1: Election deniers, Oh, what was I watching last night?

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Speaker 4: Was that?

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Speaker 2: Yeah? That was the that was the sixty minutes piece.

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Speaker 4: So they went the entire time as far as I

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Speaker 4: could tell, because that segment was actually about trying to

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Speaker 4: convince people that the election is secure and how difficult

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Speaker 4: it would be to cheat and everything like that, and

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Speaker 4: what to do about all the people who claim it

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Speaker 4: was stolen, and they kept going with example after example

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Speaker 4: of Republicans, never once mentioned all the times Democrats have

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Speaker 4: claimed stolen elections. Freaking Stacy Abrams became the Democrat at

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Speaker 4: rock Star by claiming in Georgia that she was the

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Speaker 4: true governor.

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Speaker 2: Right for years.

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Speaker 1: Yeah, yeah, says if they're shameless liars.

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Speaker 2: And they didn't even mention that.

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Speaker 1: Wow, well they're crappy and I hate them. So a

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Speaker 1: few stories that are not election related, but I thought

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Speaker 1: you might find interesting. There's been a giant scam four

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Speaker 1: point two billion dollars ripped off of Medicare by a

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Speaker 1: variety of insurers who offer private plans under Medicare, known

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Speaker 1: as Medicare Advantage. They send nurses to people's homes to

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Speaker 1: just check them out, and then in astounding numbers, the

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Speaker 1: nurses come back and say, yeah, yeah, Joe, Gitty's got

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Speaker 1: a sore left elbow syndrome. So yeah, Medicare is gonna

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Speaker 1: pay an extra nineteen hundred dollars a year for us

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Speaker 1: to take care of Joe Getty. And in thousands and

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Speaker 1: thousands of these cases, there's never any treatment, there's never

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Speaker 1: any medication.

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Speaker 2: Oh wow, just.

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Speaker 1: That mystery diagnosis by the nurse who swings by the house.

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Speaker 1: And again, billions of dollars of your dollars are disappearing

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Speaker 1: in this scam. But it's not your money. Why did

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Speaker 1: they care? Oh? In a related story, and this is

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Speaker 1: you know, hell, this is a classic. But the Air

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Speaker 1: Force paid eighty times the going rate for a soap

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Speaker 1: dispenser that they put on bunches of their airplanes they're

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Speaker 1: big airplanes, eighty times the retail because the procurement officers

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Speaker 1: look at the invoice and say, yeah, all right, whatever,

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Speaker 1: it's not my money. They just sign off on it

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Speaker 1: over and over again. Meanwhile, you know, our troops do

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Speaker 1: need advanced new weapons systems and there's no money for it.

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Speaker 1: But anyway, just to generalize criticism of big fat, stupid government,

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Speaker 1: another bingo bango bongo story. It's true to the point

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Speaker 1: of being a cliche. Nobody wants to hear it anymore,

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00:22:03,920 --> 00:22:08,720
Speaker 1: that today's mariaguuana is much much stronger than the marijuana

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Speaker 1: of days past. Anybody who consorts with marijuana addicts knows that. Certainly.

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Speaker 4: I got into a conversation with someone about this the

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Speaker 4: other day. They said, that's not true for the legal

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Speaker 4: store bought stuff. It's very true for the illegal people

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Speaker 4: are grown and stuff. Do you know, No, that's not true.

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Speaker 1: That's not the lawful stuff from dispensaries in California, for instance,

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Speaker 1: it's very strong marijuana. Now the street stuff could be

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Speaker 1: even stronger. But for instance, because we're not you know,

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Speaker 1: we're not talking about I got kind of wasted, and

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Speaker 1: then the other night I got really really wasted. No,

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Speaker 1: there are scientific ways to approach to this stuff. It

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Speaker 1: has to do with concentration of THCHC.

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Speaker 2: Well, and then well we got on it last week.

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Speaker 4: It was the number of places in the country where

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Speaker 4: they have people coming into the emergency room from marijuana

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Speaker 4: that just never used to happen, and now it's right now.

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Speaker 1: Yeah, so that's yeah, oh yeah, And they go into

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Speaker 1: a lot of different problems that are health problems, and

438
00:23:13,200 --> 00:23:15,280
Speaker 1: more pregnant women are taking the drug to ease the

439
00:23:15,320 --> 00:23:18,359
Speaker 1: symptoms of morning sickness, only to discover that the souped

440
00:23:18,440 --> 00:23:20,960
Speaker 1: up pot leads to pre term births, low birth weight,

441
00:23:21,040 --> 00:23:22,600
Speaker 1: getsens in developmental delay.

442
00:23:22,680 --> 00:23:23,560
Speaker 2: Yeah, that's horrible.

443
00:23:24,520 --> 00:23:28,880
Speaker 1: But anyway, So Switzerland has legal pot. The THCHC content

444
00:23:28,920 --> 00:23:32,359
Speaker 1: in cannabis has to be less than one percent. In France,

445
00:23:32,400 --> 00:23:36,200
Speaker 1: the limits point three percent, which is like almost exactly

446
00:23:36,200 --> 00:23:39,800
Speaker 1: the same as what they call woodstock weed sixties and seventies,

447
00:23:40,040 --> 00:23:43,040
Speaker 1: you know, pot that the hippies were smoking zero point

448
00:23:43,080 --> 00:23:47,000
Speaker 1: three percent. Compare this with Florida's Amendment three, which would

449
00:23:47,000 --> 00:23:51,159
Speaker 1: decriminalize recreational marijuana, and they debated how high the THC

450
00:23:51,240 --> 00:23:55,040
Speaker 1: concentration of marijuana should be one proposal. One proposal allowed

451
00:23:55,080 --> 00:24:01,040
Speaker 1: for products containing up to sixty percent THCHC content, and

452
00:24:01,080 --> 00:24:07,640
Speaker 1: that's again the old stuff was like one to three percent. Wow, yeah, wow,

453
00:24:08,119 --> 00:24:09,120
Speaker 1: crazy strong.

454
00:24:10,000 --> 00:24:12,880
Speaker 4: So you're talking about a different thing. It shouldn't even

455
00:24:12,880 --> 00:24:17,800
Speaker 4: have the same name. Yeah, as Yeah, Sheech and Chong

456
00:24:17,840 --> 00:24:19,080
Speaker 4: were smoking in the movies.

457
00:24:19,840 --> 00:24:23,560
Speaker 1: Right, It's as if ever Clear was as easy to

458
00:24:23,600 --> 00:24:27,760
Speaker 1: sip his diet coke because your lungs don't know the difference.

459
00:24:27,800 --> 00:24:29,679
Speaker 1: The only thing that's going to offend your lungs. Is

460
00:24:29,720 --> 00:24:32,640
Speaker 1: the smoke, not the THHC content. So you can take

461
00:24:32,680 --> 00:24:34,280
Speaker 1: a big old hit of what we used to call

462
00:24:34,359 --> 00:24:39,080
Speaker 1: vulcan mind eraser the current pot and just and cause

463
00:24:39,119 --> 00:24:41,000
Speaker 1: yourself some severe neurological problems.

464
00:24:41,200 --> 00:24:41,560
Speaker 2: Wow.

465
00:24:41,640 --> 00:24:44,600
Speaker 1: And again, as a guy who was playing rock and

466
00:24:44,680 --> 00:24:47,640
Speaker 1: roll for years and took walks on the wild side,

467
00:24:47,960 --> 00:24:51,200
Speaker 1: kids the idea that hey, I'll mess with my brain

468
00:24:51,280 --> 00:24:55,040
Speaker 1: chemistry and then it'll go back to normal. That works

469
00:24:55,080 --> 00:24:57,040
Speaker 1: when you're young, and it works if you do it

470
00:24:57,119 --> 00:25:01,520
Speaker 1: a little. Usually, trust me when I tell you you

471
00:25:01,560 --> 00:25:04,199
Speaker 1: can't do that over and over again, your brain starts

472
00:25:04,240 --> 00:25:07,639
Speaker 1: to say no, I can't, and not to mention the

473
00:25:07,680 --> 00:25:09,960
Speaker 1: fact that if you're you're talking pills or hard drugs,

474
00:25:10,000 --> 00:25:13,760
Speaker 1: it's almost certainly got fentanyl in it or trank or worse. Anyway,

475
00:25:13,840 --> 00:25:16,560
Speaker 1: moving along a lot of just the great story's worth

476
00:25:16,600 --> 00:25:19,679
Speaker 1: a minute or two. No matter who wins the election,

477
00:25:19,800 --> 00:25:22,320
Speaker 1: who wins the state that I'm sorry the Senate to

478
00:25:22,520 --> 00:25:26,040
Speaker 1: the House. The salt deduction is going to be a

479
00:25:26,160 --> 00:25:31,320
Speaker 1: huge war. That's the state and local taxes deduction. All

480
00:25:31,400 --> 00:25:36,200
Speaker 1: the poor bastards in blue states playing in paying enormous

481
00:25:36,480 --> 00:25:41,040
Speaker 1: high local taxes, state tax state income taxes, property taxes

482
00:25:41,119 --> 00:25:42,480
Speaker 1: is huge in the Northeast.

483
00:25:43,640 --> 00:25:45,560
Speaker 4: Yeah, in California used to be able. I used to

484
00:25:45,600 --> 00:25:49,760
Speaker 4: be able to duct my ridiculously high state taxes right now,

485
00:25:49,960 --> 00:25:52,000
Speaker 4: and I haven't been able to since the Trump tax cuts,

486
00:25:52,000 --> 00:25:54,919
Speaker 4: which I actually agree with from a fairness standpoint, but

487
00:25:56,040 --> 00:25:57,399
Speaker 4: wasn't good for my pocketbook.

488
00:25:57,960 --> 00:26:00,880
Speaker 1: Yeah, they caped it at ten thousand dollars, that's all

489
00:26:00,920 --> 00:26:06,320
Speaker 1: you can deduct. And you know, a blue state or

490
00:26:06,359 --> 00:26:10,480
Speaker 1: for years and years and years and years. Yeah, Yeah,

491
00:26:10,520 --> 00:26:12,440
Speaker 1: it's awful, and it was cool that the fence let

492
00:26:12,480 --> 00:26:15,440
Speaker 1: you deduct that. But the other like forty states in

493
00:26:15,480 --> 00:26:19,960
Speaker 1: America are saying, why are we subsidizing you who are

494
00:26:20,000 --> 00:26:23,840
Speaker 1: like pouring billions of dollars into fake homeless programs that

495
00:26:24,000 --> 00:26:27,160
Speaker 1: just make junkies lives easier to be junkies, and you're

496
00:26:27,200 --> 00:26:30,879
Speaker 1: given sex changes to murderers in your prisons. Why am

497
00:26:30,920 --> 00:26:31,760
Speaker 1: I paying for that?

498
00:26:31,880 --> 00:26:34,760
Speaker 4: Sure, New Jersey and California, you vote for high taxes

499
00:26:34,800 --> 00:26:37,520
Speaker 4: and then get to deduct it off federal taxes and

500
00:26:37,560 --> 00:26:40,480
Speaker 4: make other states pick up the slack.

501
00:26:40,560 --> 00:26:41,200
Speaker 2: That's crazy.

502
00:26:42,160 --> 00:26:44,720
Speaker 1: Three more stories real quick, the final two from the

503
00:26:44,760 --> 00:26:48,080
Speaker 1: Animal Kingdom, But first PayPal knows your pant size, and

504
00:26:48,119 --> 00:26:52,520
Speaker 1: it's telling everyone if you shop using PayPal, the payments

505
00:26:52,520 --> 00:26:55,800
Speaker 1: company is about to start sharing your personal data, including

506
00:26:56,080 --> 00:26:58,560
Speaker 1: everything including your pants size.

507
00:26:58,600 --> 00:27:01,240
Speaker 2: Am I worried about? Am I worried about people knowing

508
00:27:01,280 --> 00:27:01,680
Speaker 2: my pants?

509
00:27:01,680 --> 00:27:04,080
Speaker 1: Sides? Well, I try to dress in a way that

510
00:27:04,160 --> 00:27:08,120
Speaker 1: minimizes my body flaws. Don't. I don't need it being

511
00:27:08,160 --> 00:27:10,679
Speaker 1: on the frontage in the New York Times, Joe Gettyweer's

512
00:27:10,760 --> 00:27:14,160
Speaker 1: be size forty six pance I don't. By the way,

513
00:27:14,280 --> 00:27:16,880
Speaker 1: Beginning November twenty seventh, it will start compiling its trove

514
00:27:16,960 --> 00:27:20,360
Speaker 1: of customer purchase data offer to retailers sell to them

515
00:27:20,359 --> 00:27:24,639
Speaker 1: so they can target their advertising to you. Now, twenty

516
00:27:24,680 --> 00:27:27,160
Speaker 1: five percent of large banks said they share at least

517
00:27:27,200 --> 00:27:31,159
Speaker 1: some of your data with non affiliated third parties, and

518
00:27:31,200 --> 00:27:33,560
Speaker 1: they go into the list of all sorts of companies

519
00:27:33,560 --> 00:27:36,840
Speaker 1: and credit card companies. Everybody is selling your data all

520
00:27:36,880 --> 00:27:41,800
Speaker 1: the time to advertisers. Yeah, yeah, so two more real quickly,

521
00:27:41,960 --> 00:27:46,040
Speaker 1: and this is so crazy. Move over, Neil Armstrong, Jack's

522
00:27:46,080 --> 00:27:50,000
Speaker 1: cousin or uncle. The real Space Pioneer might just be

523
00:27:50,040 --> 00:27:53,520
Speaker 1: a tiny insect with a ball of poop. The dung

524
00:27:53,840 --> 00:27:58,720
Speaker 1: beetle they figured out navigates around the world by somehow

525
00:27:58,920 --> 00:28:02,680
Speaker 1: citing the the milk, the Big Dipper, the Milky Way.

526
00:28:02,720 --> 00:28:04,199
Speaker 1: What does it say? I can't remember. I read this

527
00:28:04,240 --> 00:28:09,000
Speaker 1: like days ago. The dung beetle uses the Milky Way

528
00:28:09,040 --> 00:28:12,919
Speaker 1: for navigation. These insects need to move in straight lines

529
00:28:12,960 --> 00:28:16,359
Speaker 1: away from competitors while rolling balls up poop, a task

530
00:28:16,400 --> 00:28:19,320
Speaker 1: that requires a fixed orientation point in the sky.

531
00:28:19,720 --> 00:28:21,000
Speaker 2: Good work if you can get it.

532
00:28:22,600 --> 00:28:27,160
Speaker 1: And scientists have figured out you can base navigation systems

533
00:28:27,520 --> 00:28:29,880
Speaker 1: on the same principles in a way that I guess

534
00:28:30,160 --> 00:28:32,920
Speaker 1: the dung beetles have made clear they you don't have

535
00:28:32,960 --> 00:28:34,560
Speaker 1: time to get into it in detail. Do they have.

536
00:28:34,560 --> 00:28:38,120
Speaker 4: Tremendous eyesight the dung beetle to be able to see

537
00:28:38,120 --> 00:28:38,720
Speaker 4: the stars?

538
00:28:39,080 --> 00:28:43,560
Speaker 1: No, they have superpower powerful telescopes obviously. No, I don't know.

539
00:28:43,920 --> 00:28:47,720
Speaker 1: I don't know. But anyway, we will post this at

540
00:28:47,800 --> 00:28:50,400
Speaker 1: armstrong e geddy dot com. If you are scientifically inclined

541
00:28:50,480 --> 00:28:53,320
Speaker 1: you can you can read it under hot links. And

542
00:28:53,360 --> 00:28:55,640
Speaker 1: then finally, this and this is not some sort of

543
00:28:55,840 --> 00:29:01,960
Speaker 1: justification for the way I lived my weekend. Lions, tigers

544
00:29:02,160 --> 00:29:05,640
Speaker 1: and beer, lions and tigers and beers. Oh my yes,

545
00:29:05,720 --> 00:29:09,959
Speaker 1: even animals seek out alcohol in the wild. There are

546
00:29:10,000 --> 00:29:13,760
Speaker 1: a number of animal species, from monkeys to lions and

547
00:29:13,800 --> 00:29:17,640
Speaker 1: tigers that love fermented fruit because it gives them a

548
00:29:17,680 --> 00:29:20,320
Speaker 1: buzz humh and.

549
00:29:20,280 --> 00:29:23,480
Speaker 4: It makes that other tiger a little more attractive, or

550
00:29:23,880 --> 00:29:28,280
Speaker 4: the boring tiger more interesting. You think, Stripe, he's not

551
00:29:28,440 --> 00:29:32,200
Speaker 4: so bad a guy. He's all right, Stripe, he's not

552
00:29:32,240 --> 00:29:32,920
Speaker 4: a bad guy.

553
00:29:34,440 --> 00:29:35,840
Speaker 1: He's just a little goofy.

554
00:29:35,920 --> 00:29:36,479
Speaker 2: He's all right.

555
00:29:37,680 --> 00:29:39,720
Speaker 1: So if you got it, got after it a little

556
00:29:39,720 --> 00:29:41,440
Speaker 1: bit over the weekend, it's only natural.

557
00:29:42,160 --> 00:29:43,600
Speaker 2: Or you wake up in the den in the morning

558
00:29:43,600 --> 00:29:45,360
Speaker 2: and you think you looked better last night. I don't

559
00:29:45,360 --> 00:29:46,000
Speaker 2: know what was going on.

560
00:29:46,760 --> 00:29:49,360
Speaker 1: Wow, I got to choose my mates more carefully. Yeah,

561
00:29:49,400 --> 00:29:53,320
Speaker 1: So we'll have those last two scientific studies, especially under

562
00:29:53,360 --> 00:29:55,240
Speaker 1: hot links at Armstrong and getty dot com.

563
00:29:55,280 --> 00:29:59,600
Speaker 4: For you, what's browning? Sounds like a bell dung a

564
00:29:59,640 --> 00:30:04,720
Speaker 4: class a classic if you're a child. Another stupid election

565
00:30:04,880 --> 00:30:09,000
Speaker 4: story just came out. One good thing about starting at

566
00:30:09,040 --> 00:30:13,920
Speaker 4: six o'clock tomorrow night. Those will kind of end, I guess, Oh,

567
00:30:13,960 --> 00:30:16,920
Speaker 4: please lord, he please stay with us.

568
00:30:21,000 --> 00:30:21,440
Speaker 2: This week.

569
00:30:21,720 --> 00:30:24,600
Speaker 4: The whole Liz Cheney guns trained at her face thing,

570
00:30:24,840 --> 00:30:28,840
Speaker 4: So the whole clip where Trump's explaining what he's talking

571
00:30:28,840 --> 00:30:30,800
Speaker 4: about is like a minute ten. We're not going to

572
00:30:30,840 --> 00:30:32,760
Speaker 4: play that whole thing, but you should go listen to

573
00:30:32,760 --> 00:30:34,880
Speaker 4: the whole thing or read the whole thing. It's so

574
00:30:35,160 --> 00:30:38,240
Speaker 4: obvious what he's talking about. He's making an argument. I

575
00:30:38,240 --> 00:30:40,800
Speaker 4: don't agree with it, by the way. I don't think

576
00:30:40,840 --> 00:30:44,440
Speaker 4: you need to necessarily be serving in combat to have

577
00:30:44,480 --> 00:30:49,520
Speaker 4: an opinion on whether or not, you know, we should

578
00:30:49,520 --> 00:30:52,400
Speaker 4: get involved in a conflict or not. But Trump was

579
00:30:52,400 --> 00:30:55,040
Speaker 4: making the point that chicken hawks, as they're called, people

580
00:30:55,080 --> 00:30:57,240
Speaker 4: like Liz Cheney and your dad are always for all

581
00:30:57,280 --> 00:31:00,000
Speaker 4: the wars, but never fight them themselves. And he said,

582
00:31:00,120 --> 00:31:01,880
Speaker 4: how about if you know, she's got a gun in

583
00:31:01,920 --> 00:31:04,520
Speaker 4: her hand and she goes out there, now she's got

584
00:31:04,600 --> 00:31:08,920
Speaker 4: nine guns trained at her face. The media just took

585
00:31:08,960 --> 00:31:11,240
Speaker 4: the clip of I'd like to see nine guns trained

586
00:31:11,240 --> 00:31:13,680
Speaker 4: at her face and made it sound like he was

587
00:31:13,760 --> 00:31:17,560
Speaker 4: threatening violence against lace jus Cheney or suggesting she put

588
00:31:17,600 --> 00:31:20,760
Speaker 4: in front of a firing squad over supporting Harris over him.

589
00:31:21,480 --> 00:31:26,160
Speaker 4: And I was watching Mark Hauprin's zoom cast on Saturday

590
00:31:26,760 --> 00:31:33,160
Speaker 4: as a unbiased reporter, just trying to follow what's going

591
00:31:33,160 --> 00:31:35,200
Speaker 4: on and not choose a side. And Mark Halprin thought

592
00:31:35,600 --> 00:31:40,400
Speaker 4: this was the most egregious example and dangerous example of

593
00:31:40,560 --> 00:31:43,720
Speaker 4: media bias that he has ever seen. He said, this

594
00:31:43,960 --> 00:31:47,880
Speaker 4: close to election day and flat out lying about what

595
00:31:47,920 --> 00:31:50,880
Speaker 4: Trump said, because it's a flat out lie to edit

596
00:31:50,920 --> 00:31:54,480
Speaker 4: out the context, just a flat out lie det out

597
00:31:54,480 --> 00:31:57,320
Speaker 4: the context, especially this close to an election day. He

598
00:31:57,360 --> 00:31:59,760
Speaker 4: couldn't believe it was actually happening, and that we've reached

599
00:31:59,800 --> 00:32:03,880
Speaker 4: a new low in terms of mainstream media willing to

600
00:32:03,920 --> 00:32:06,680
Speaker 4: put their thumb on the scale. He was beside himself

601
00:32:06,720 --> 00:32:08,760
Speaker 4: as a journalist with just how bad the coverage was.

602
00:32:08,920 --> 00:32:10,560
Speaker 2: Happened again yesterday on Facination.

603
00:32:10,920 --> 00:32:14,520
Speaker 4: So Margaret Brennan on facin Nations plays the little edited

604
00:32:14,560 --> 00:32:17,720
Speaker 4: clip of Trump saying that about guns trained at Liz

605
00:32:17,800 --> 00:32:22,960
Speaker 4: Cheney's face without the context, and she's either pretending she

606
00:32:23,000 --> 00:32:27,400
Speaker 4: doesn't understand the context or actually doesn't know. I don't

607
00:32:27,400 --> 00:32:30,800
Speaker 4: know which, But she had Marco Rubio, Republican senator from

608
00:32:30,880 --> 00:32:34,000
Speaker 4: Florida who's a Trump surrogate, on the show, and he

609
00:32:34,040 --> 00:32:36,680
Speaker 4: pushed back, Thank goodness, well in.

610
00:32:36,640 --> 00:32:39,960
Speaker 7: Terms of safety and security, that sounded a moment ago

611
00:32:40,000 --> 00:32:43,280
Speaker 7: from Donald Trump talking about training guns on the face

612
00:32:43,400 --> 00:32:46,680
Speaker 7: of Liz Cheney. The Trump campaign says that was about

613
00:32:46,800 --> 00:32:49,760
Speaker 7: foreign policy. Well, we just played it for our viewers

614
00:32:50,160 --> 00:32:53,200
Speaker 7: and listeners who heard it. Isn't it possible to make

615
00:32:53,240 --> 00:32:56,200
Speaker 7: the case without using rhetoric like that?

616
00:32:56,960 --> 00:33:00,080
Speaker 6: But Donald Trump doesn't talk like someone who's been in Washington.

617
00:33:00,240 --> 00:33:02,360
Speaker 2: Years the way I were to face.

618
00:33:02,840 --> 00:33:04,640
Speaker 6: No, but that's not what he said. Murray, you guys

619
00:33:04,680 --> 00:33:06,800
Speaker 6: know that. Come on, I mean, everybody knows exactly what

620
00:33:06,840 --> 00:33:08,480
Speaker 6: he was saying. What he was saying is you're so

621
00:33:08,600 --> 00:33:10,920
Speaker 6: much in favor of war. Yeah, you know, you played

622
00:33:10,920 --> 00:33:12,720
Speaker 6: a piece of the sound bite because in another piece

623
00:33:12,720 --> 00:33:14,120
Speaker 6: of it he said he would give her a gun

624
00:33:14,200 --> 00:33:16,680
Speaker 6: to go stand in conflict as well, you don't normally

625
00:33:16,760 --> 00:33:19,320
Speaker 6: give a gun to someone that's going to be facing

626
00:33:19,320 --> 00:33:21,160
Speaker 6: a firing squad, which was what much of the medium

627
00:33:21,200 --> 00:33:23,200
Speaker 6: made it sound like. The point he was making is

628
00:33:23,240 --> 00:33:25,040
Speaker 6: not a new point. It is a point that has

629
00:33:25,080 --> 00:33:27,600
Speaker 6: been made by people in both parties for decades, and

630
00:33:27,600 --> 00:33:28,680
Speaker 6: that is, you're.

631
00:33:28,520 --> 00:33:29,120
Speaker 1: All for war.

632
00:33:29,360 --> 00:33:31,320
Speaker 6: And it's easy to be for war when you're in

633
00:33:31,360 --> 00:33:33,040
Speaker 6: some fancy building and you're safe and.

634
00:33:33,000 --> 00:33:34,120
Speaker 1: Sound in Washington, d C.

635
00:33:34,760 --> 00:33:37,600
Speaker 6: Let's see how much you are for war when you yourself

636
00:33:37,600 --> 00:33:40,480
Speaker 6: get deployed into combat. That's the point that he was making.

637
00:33:42,000 --> 00:33:46,120
Speaker 4: H Yeah, And again, does Margaret Brennan actually not know

638
00:33:46,240 --> 00:33:50,760
Speaker 4: the full context. I suppose it's possible that her producers

639
00:33:50,840 --> 00:33:53,760
Speaker 4: brought her the clip and they just and she just

640
00:33:53,840 --> 00:33:57,200
Speaker 4: assumed they were being honest with her about Bigcom or

641
00:33:57,280 --> 00:34:00,080
Speaker 4: she's got such a negative view of Trump, she just

642
00:34:00,120 --> 00:34:03,120
Speaker 4: assumes that that he was calling for a firing squad

643
00:34:03,360 --> 00:34:04,160
Speaker 4: with Liz Cheney.

644
00:34:04,280 --> 00:34:06,520
Speaker 2: But again, it's just a flat out.

645
00:34:06,520 --> 00:34:10,200
Speaker 4: Lie to present it that way, which politicians have been

646
00:34:10,239 --> 00:34:13,879
Speaker 4: doing forever but always portrayed in the media as if

647
00:34:13,960 --> 00:34:18,200
Speaker 4: Trump's a liar, and the mainstream media and Kamala Harris's campaign,

648
00:34:18,440 --> 00:34:19,560
Speaker 4: they're playing it straight up.

649
00:34:20,040 --> 00:34:20,800
Speaker 2: Trump lies.

650
00:34:21,120 --> 00:34:22,799
Speaker 4: They don't you got a fact check, Trump, you don't

651
00:34:22,800 --> 00:34:26,320
Speaker 4: have fact It's just so freaking frustrating, drives me nuts.

652
00:34:26,600 --> 00:34:28,960
Speaker 4: I hope it doesn't actually affect the election. Like Mark

653
00:34:29,000 --> 00:34:32,600
Speaker 4: Alpern is concerned. So the time changed over the weekend.

654
00:34:34,080 --> 00:34:36,840
Speaker 4: More articles in some of my favorite newspapers, including in

655
00:34:36,840 --> 00:34:39,600
Speaker 4: the Washington Post. Why do we change the clocks Anyway?

656
00:34:40,360 --> 00:34:43,719
Speaker 4: The twice yearly ritual has roots and cost cutting strategies

657
00:34:43,760 --> 00:34:46,520
Speaker 4: of the late nineteenth century. A recent effort to end

658
00:34:46,520 --> 00:34:49,240
Speaker 4: it has stalled in Congress. Well once again an article

659
00:34:49,280 --> 00:34:53,359
Speaker 4: about trying to nail down why we started with why

660
00:34:53,400 --> 00:34:55,440
Speaker 4: we started doing this in the first place, with different

661
00:34:55,920 --> 00:34:59,600
Speaker 4: experts disagreeing as to when we started doing it, why

662
00:34:59,640 --> 00:35:04,839
Speaker 4: we start doing it? Most people hate it. It's just week,

663
00:35:04,920 --> 00:35:07,000
Speaker 4: every six months we go through this. I did come

664
00:35:07,000 --> 00:35:10,840
Speaker 4: across this. Benjamin Franklin is often credited as the first

665
00:35:10,880 --> 00:35:14,360
Speaker 4: to suggest daylight savings time, after realizing he was wasting

666
00:35:14,360 --> 00:35:15,880
Speaker 4: his mornings by staying in bed.

667
00:35:17,840 --> 00:35:22,080
Speaker 1: So it was Benjamin Franklin who first prepared that who

668
00:35:22,160 --> 00:35:25,480
Speaker 1: first proposed that the kaiser could save money during the

669
00:35:25,520 --> 00:35:30,319
Speaker 1: fall harvest if American school children could conserve gas during

670
00:35:30,360 --> 00:35:34,440
Speaker 1: the nineteen seventies, therefore are we have daylight savings time?

671
00:35:34,600 --> 00:35:37,799
Speaker 4: He actually proposed that they fired cannons at sunrise to

672
00:35:37,880 --> 00:35:40,600
Speaker 4: wake people up and reduce candle consumption at night.

673
00:35:41,640 --> 00:35:46,600
Speaker 1: Sue the Great Ben Franklin sometimes hit, sometimes miss. It

674
00:35:46,719 --> 00:35:50,120
Speaker 1: is time for us to do what we have been

675
00:35:50,160 --> 00:35:51,680
Speaker 1: doing in that time as every day.

676
00:35:51,840 --> 00:35:53,959
Speaker 4: One of the paragraphs in the New York Times was okay,

677
00:35:53,960 --> 00:35:56,960
Speaker 4: if it wasn't the farmers whose idea was this?

678
00:35:57,480 --> 00:35:59,759
Speaker 2: Which is just it's funny that we go.

679
00:35:59,760 --> 00:36:02,440
Speaker 4: Through this, every insect whose idea is this, and everybody

680
00:36:02,480 --> 00:36:04,600
Speaker 4: says nobody really knows, And then you argue about it

681
00:36:04,680 --> 00:36:06,359
Speaker 4: for a while, and then we just forget about it.

682
00:36:06,320 --> 00:36:09,560
Speaker 1: Get half a dozen different explanations from various points, and

683
00:36:09,719 --> 00:36:11,200
Speaker 1: just leave me alone.

684
00:36:11,840 --> 00:36:16,839
Speaker 4: Leave me alone, Armstrong and Getty