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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, Joe Getty.

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Speaker 2: Armstrong and Getty and now he Armstrong and Getty.

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Speaker 3: At eight.

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Speaker 1: Well, first, this Trump is just a truth doubt that

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Speaker 1: the Giants should hire Harbaugh to be the coach. I

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Speaker 1: love when the President of the United States gets involved

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Speaker 1: in these sorts of things.

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Speaker 2: There you go on his official.

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Speaker 1: Platform, same place, he'll say, I'm gonna, you know, abduct

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Speaker 1: the leaders of Iran, He'll say, and Harbaugh should be

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Speaker 1: the Giants coach.

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Speaker 2: It's just kind of funny. Uh, that's one word for it.

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Speaker 1: There have been eight oral arguments before the Supreme Court

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Speaker 1: in this session so far, and so far KJP has

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Speaker 1: spoken more words than all the dudes combined. Yes, the

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Speaker 1: newest youngest justice. Isn't that something more than all the

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Speaker 1: dudes combined? And at last count there were five of them.

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Speaker 1: We uh, well, we'll break that down a little bit more.

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Speaker 1: But we're going to feature Josh Holly here. He's a

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Speaker 1: senator from Missouri, and one thing I know about him

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Speaker 1: is Sarah Isger of the Dispatch, who I really really like.

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Speaker 1: She's a super smart lawyer went Tarbud. She says, Josh

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Speaker 1: Holly is the smartest, most talented lawyer in all of

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Speaker 1: government likely, and it's interesting that he took that talent

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Speaker 1: and decided, you know what, it's a trumpet time and

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Speaker 1: that's the direction of.

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Speaker 2: Winsbown and that's what I'm gonna do.

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Speaker 1: Yeah, populism in general. Yeah, yeah, he's not going to

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Speaker 1: challenge people. He's gonna you know, he's going to flow

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Speaker 1: with the river and see what he can get done.

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Speaker 1: Having done that, it's maybe it's the smart thing to do.

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Speaker 1: I don't know, but he's a very very smart guy.

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Speaker 2: Anyway.

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Speaker 1: So there was a hearing in the Senate on the

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Speaker 1: abortion pills and the availability of abortion pills and stuff like that,

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Speaker 1: and Holly saw an opportunity and he asked the esteemed

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Speaker 1: doctor something or other Verma, the following question, why.

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Speaker 4: Don't we just start there, doctor Verma.

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Speaker 5: I wasn't sure I understood your answer to Senator Moody

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Speaker 5: a moment ago, do you think that men can get pregnant?

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Speaker 6: I hesitated there because I wasn't sure where the conversation

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Speaker 6: was going or what the goal was. I mean, I

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Speaker 6: do take care of patients with different identities. I take

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Speaker 6: care of many women. I take care of people with

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Speaker 6: different identities. And so that's where I paused. I think, Yeah,

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Speaker 6: I wasn't sure where you were going with that.

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Speaker 4: Well, the goal is is the truth? So can men

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Speaker 4: get pregnant?

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Speaker 3: Again?

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Speaker 6: The reason I paused there is I'm not really sure

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Speaker 6: what the goal of the question.

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Speaker 5: Goal is to establish a biological reality. You just said

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Speaker 5: a moment ago that science and evidence should control not politics.

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Speaker 5: So let's just test that proposition. Can men get pregnant?

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Speaker 3: I take care of people with many identities.

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Speaker 2: But second, we'll jump back in. I was I was

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Speaker 2: leaning toward.

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Speaker 1: I mean, he knows exactly what he's doing regardless, but

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Speaker 1: he's like putting her in this uncomfortable position on purpose.

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Speaker 1: But the fact that he just stated, because we didn't

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Speaker 1: hear the earlier part that she said, it's very important

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Speaker 1: that we stick with science and not get into politics. Okay,

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Speaker 1: you opened that door. Oh I'm saying we have to

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Speaker 1: stick with science and no politics involved. Okay, Well, then

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Speaker 1: answer this question.

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Speaker 2: Here we go.

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Speaker 3: There many women that can get pregnant.

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Speaker 6: I do take care of people that don't identify as women.

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Speaker 4: That can can men get pregnant?

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Speaker 3: Again, as I'm saying, let me let me just.

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Speaker 5: Remind you you testified to a moment ago. Science and

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Speaker 5: evidence should control not politics, So should can men get pregnant?

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Speaker 6: You're a doctor, see science and evidence should guide medicine.

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Speaker 5: I do science and evidence tell us that men can

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Speaker 5: get pregnant? Biological men? Can they get pregnant?

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Speaker 6: I also think yes, no question like this are a

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Speaker 6: political tool.

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Speaker 4: No, yes, No questions are about the truth. Doctor.

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Speaker 5: Let's not make a mockery of this proceeding. This is

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Speaker 5: about science and evidence. So I'm asking you. You know,

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Speaker 5: the United States Supreme Court just heard arguments yesterday at

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Speaker 5: great length on this question. This is not a hypothetical question.

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Speaker 5: This is not theoretical that affects real people in their

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Speaker 5: real lives. And you're here as an expert, called by

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Speaker 5: the other side as an expert, and you've been telling

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Speaker 5: us that you that you follow right, you're a doctor,

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Speaker 5: and you follow the science and the evidence. So I

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Speaker 5: just want to know, based on the science, can men

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Speaker 5: get pregnant?

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Speaker 4: That's a yes or no question, It really is.

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Speaker 6: I think I think you're trying to reduce the complexity

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Speaker 6: of a.

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Speaker 4: Life I'm not.

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Speaker 5: I'm trying to get it's not complex. I'm trying to

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Speaker 5: get to an answer, and I'm trying to test, frankly,

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Speaker 5: your veracity as a medical professional and as a scientist.

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Speaker 4: Can men get pregnant?

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Speaker 3: I think you're also conflating its extraordinary.

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Speaker 5: No, I'm not conflating male and female. They're two different things.

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Speaker 5: There's biological men and there's biological women.

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Speaker 4: And I want to know can men get pregnant?

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Speaker 3: What you were talking about is biology. You're not going

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Speaker 3: to answer my question biological males.

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Speaker 4: This isn't hard, doctor. Can men get pregnant?

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Speaker 7: Oh?

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Speaker 2: My god?

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Speaker 4: Yes, I would let her.

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Speaker 2: Can you stop it, Michael?

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Speaker 1: I would actually let her answer, Josh, because then she

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Speaker 1: will have to spell out the proposition which is at

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Speaker 1: the core of this and it was really at the

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Speaker 1: Court of the Supreme Court hearing yesterday. Are so called

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Speaker 1: trans girls actually girls? And the answer clearly is, of

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Speaker 1: course they're not. You're not in Congress trying to raise money,

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Speaker 1: and if you are, your mindset has got to be

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Speaker 1: I need I need a whole bunch of different short

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Speaker 1: clips of me asking the no question in her evading it,

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Speaker 1: because news is only going to use a short clip.

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Speaker 2: They're not going to play the whole thing.

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Speaker 1: But in general I agree, let her answer, let her,

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Speaker 1: let her explain how men can get pregnant. That's going

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Speaker 1: to do her more harm than you interrupting her.

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Speaker 2: I think.

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Speaker 1: Yes, See, I disagree with you on your very premise

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Speaker 1: that he's solid. He's got some really good cuts of

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Speaker 1: her not answering his very obvious question as a scientist,

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Speaker 1: as a doctor. Now get her to spell out her

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Speaker 1: crazy ass. Believe crazy ass. Oh, by the way, Hanson

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Speaker 1: and Michael, we absolutely need the clip. We will use

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Speaker 1: it for the rest of our careers. You're making a

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Speaker 1: mockery of these proceedings. We use that as a drop

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Speaker 1: when we start messing around in the middle of something

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Speaker 1: or whatever. Wait a minute, mockery is the point of

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Speaker 1: these you're making today.

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Speaker 2: We need that clip. That's what I do for a living.

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Speaker 2: Roll on.

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Speaker 6: I would be more than happy to have a conversation

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Speaker 6: with you that is not coming from a place of

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Speaker 6: trying to be polarized and.

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Speaker 4: Push I'm not trying to be polarizing. I'm trying to ask.

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Speaker 5: I think it is extraordinary that we are here in

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Speaker 5: hearing about science and about women. And for the record,

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Speaker 5: it's women who get pregnant.

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Speaker 4: Not men.

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Speaker 1: So again that's at the core of the entire question,

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Speaker 1: the absurd notion that if you declare you're a woman,

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Speaker 1: you become a woman.

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Speaker 2: That's idiotic.

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Speaker 1: I think I definitely think it would have benefited him.

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Speaker 1: Let her spell out as a doctor how men can

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Speaker 1: get pregnant would have done her more damage to ninety

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Speaker 1: percent of America. And speaking of the other ten percent

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Speaker 1: of America, dig this headline from the liberal Mother Jones.

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Speaker 2: Which used to be magazine.

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Speaker 1: What's a magazine, Grandpa, It's a website they printed for

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Speaker 1: some reason, Mother Jones said at the Senate committee blah

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Speaker 1: blah blah. Senator Josh Holly of Missouri spent the whole

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Speaker 1: of his allotted time reiterating disinformation about transgender people.

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Speaker 2: Oh, you've got to be kidding. I never kid.

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Speaker 1: You have got to be kidding, reiterating disinformation, the disinformation

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Speaker 1: being that only women can get pregnant.

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Speaker 4: Correct.

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Speaker 2: Wow, yeah, my god.

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Speaker 1: You gotta be kiddyway you know, I came across an

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Speaker 1: absolutely brilliant piece of writing about how difficult it is

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Speaker 1: going to be to find space in the middle with

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Speaker 1: the current left, the progressive left, because they even when

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Speaker 1: they compromise, they don't disavow their core beliefs, which include,

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Speaker 1: for instance, yes, men can get pregnant if you declare

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Speaker 1: your man.

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Speaker 2: You are a man.

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Speaker 1: Therefore you have a uterus and a vagina and ovaries,

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Speaker 1: and your egg which you have produced has been fertilized

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Speaker 1: by sperm. It is now growing inside you. In spite

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Speaker 1: of all that, you are a man because you've declared

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Speaker 1: you're a man. Therefore men can get pregnant. That is

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Speaker 1: a worldview, so loony tunes. How do you compromise with that?

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Speaker 1: So all right, you can have a mustache, but you

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Speaker 1: can't call yourself a man.

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Speaker 2: Is that the compromise? I don't know.

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Speaker 1: You're making a mockery of these proceedings, I hope so.

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Speaker 1: So on the Supreme Court, we got five dudes and

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Speaker 1: four chicks, all right, and they've added up the words

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Speaker 1: they've spoken so far after a cases of oral arguments

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Speaker 1: this season, the chattiest dude, John Roberts.

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Speaker 2: Still talks less than the quietest chick. Isn't that amazing? Well,

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Speaker 2: and he's the damn chief.

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Speaker 1: Just Elena Kagan who talks the least among the four

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Speaker 1: female justices, still has talked more than John Roberts, the

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Speaker 1: chattiest male. It's a by word count. It's four women

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Speaker 1: most the least, and then all the dudes. I just

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Speaker 1: I mean, that's too much of a stereotype to be true.

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Speaker 1: It seems like in terms of like, if you go

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Speaker 1: out to dinner and you got you know, four couples,

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Speaker 1: who's going to do the most talking.

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Speaker 2: But yeah, it's the way it goes.

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Speaker 1: Well, yeah, but for one gal to so dominate the conversation.

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Speaker 1: You know what's interesting about that, because I listened to

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Speaker 1: a lot of or arguments is Alana Kagan is very concise.

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Speaker 1: She's very very concise, and part of HEG JB's problem

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Speaker 1: is she rambles. She asks these rambling, not very thought out,

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Speaker 1: silly questions. Yeah, so I didn't get to that. So

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Speaker 1: Katanji Brown Jackson speaks the most. She's the newest justice.

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Speaker 1: And I don't know about you. You show up to

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Speaker 1: the workplace, you're the new person in the room. Probably

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Speaker 1: should guys dominating the meeting. I think that's all you

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Speaker 1: have to say. Probably shouldn't be the person that talks

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Speaker 1: the most. Regardless she talked more in terms of word count,

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Speaker 1: over eleven thousand words, more than all of the male

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Speaker 1: justices added together. There's no way and no universe. Should

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Speaker 1: that be okay if you're trying to just have a

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Speaker 1: discussion where you have one person talk, you know, one

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Speaker 1: woman talk more than all the dudes. I mean that

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Speaker 1: this doesn't make any sense given the time constraints of

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Speaker 1: the oral arguments.

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Speaker 2: Yeah, but yeah, there you go.

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Speaker 1: Clarence Thomas always comes in with the fewest words. He's

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Speaker 1: so far, in eight rounds of oral arguments, has said

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Speaker 1: ninety six words, and some of them were.

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Speaker 2: Adjust that the mistad right there, right right.

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Speaker 1: I've got a great feature at animals in the news

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Speaker 1: coming up.

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Speaker 2: I think you'll enjoy. It's a little lighter, fair, fantastic.

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Speaker 4: Let's not make a mockery of this proceeding.

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Speaker 1: There you go, Hey, I got a question for you.

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Speaker 1: Can male dogs get pregnant? How about male chimps? How

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Speaker 1: about male dolphins? How about male elephants? I would actually

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Speaker 1: like to know what their answer would be for that.

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Speaker 1: I'm going to name every single mammal on earth. This

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Speaker 1: could take weeks, so get comfortable. What would be their

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Speaker 1: answer for that? Well, human beings. Gender identification is part

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Speaker 1: of the higher order of I don't know they'd come

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Speaker 1: up with some bkmar call it a cultural construct among rhinoceroses,

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Speaker 1: can you oh no, no, well there the reasoning has

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Speaker 1: no reasoning in it. It's a religious doctrine that you

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Speaker 1: must accept like occultist does. And that's why dissent, for instance,

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Speaker 1: in the classroom is strict for voting in progressive universities

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Speaker 1: because if you start asking the difficult questions at all unravels.

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Speaker 2: And so that's why they don't allow it.

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Speaker 1: Breaking news federal prosecutors charge twenty people in connection with

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Speaker 1: rigging college basketball games. Well dallow more of the details

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Speaker 1: on that and a bunch of other stuff on the way.

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Speaker 2: Still here are.

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Speaker 1: Dude, Hey, hey, goat, Where do you live?

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Speaker 2: Little goat guy? Hey, look at this. Look how cool

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Speaker 2: this car is. Get in the car. Come here, go hey.

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Speaker 2: No no, no, no, no, no.

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Speaker 1: No no no come here, come hey, hey, come here.

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Speaker 2: No, you're not going to ram me.

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Speaker 7: We're not doing that.

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Speaker 2: No bad, go bad go going there. Yeah, let's go

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Speaker 2: for a ride.

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Speaker 1: Little Elm, Texas police officer successfully getting a goat into

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Speaker 1: his squad car to get it off the road. Charming,

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Speaker 1: Welcome to Armstrong. You get He's animals in the news.

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Speaker 1: I can tell you it's a guy with a lot

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Speaker 1: of goat experience. If you open your door near a goat,

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Speaker 1: the hard part is keeping the goat out of your car,

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Speaker 1: not getting him into your car. Oh interesting, into your knowledge. Yes,

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Speaker 1: there's some terrific goat knowledge. Here's the headline for you.

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Speaker 1: Time to change the locks. Tennessee candy store ransacked by

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Speaker 1: a bear for the fourth time. The bear just smashes

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Speaker 1: in the front door and goes in and eats some

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Speaker 1: of the sweet sweet candy because they like sugar.

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Speaker 2: This candy was too sweet.

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Speaker 1: It's time to either get a shotgun or a steel

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Speaker 1: door or something. That's a bit of a conundrum. Perhaps

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Speaker 1: my favorite story. There is now a goat loosened Saint

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Speaker 1: Louis to join the monkeys that we reported on being

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Speaker 1: loose in sat Lord Saint Louis put a dome over it.

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Speaker 1: I I've been to Saint Louis. A single goat loose

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Speaker 1: on the streets of Saint Louis would have very.

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Speaker 2: Little effect on day to day life, I think.

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Speaker 1: But my favorite part of the story is that the

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Speaker 1: authorities are having more difficulty catching the goat and finding

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Speaker 1: it because people keep posting AI generated images online of

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Speaker 1: the goat at city hall, the goat at home plate

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Speaker 1: of the Cardinals stadiumarius, the goat captaining a ship down

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Speaker 1: the river, that sort of thing. That's funny, I know,

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Speaker 1: that's just absolutely fantastic. And then this, this is much

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Speaker 1: less funny but equally interesting.

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Speaker 2: How big a topic are school shootings over the last

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Speaker 2: quite a.

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Speaker 1: Few years, huge, enormous, huge, Interestingly, school shootings took forty

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Speaker 1: lives in twenty twenty two, which is a nightmare, twenty

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Speaker 1: one in twenty twenty three, eighteen in twenty twenty four,

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Speaker 1: and seven in twenty twenty five.

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Speaker 2: Well, it's interesting a rather steep decline.

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Speaker 1: Pit bulls have killed more people each year than school

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Speaker 1: shootings have since twenty twenty two, and the dog bite

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Speaker 1: fatality numbers are increasing. That is one of those great

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Speaker 1: freakonomic stories that is really interesting.

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Speaker 2: Yeah.

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Speaker 1: Yeah, and it's not a humongous number, but it is

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Speaker 1: growing rather notably. It's I think sixty five people a

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Speaker 1: year killed the last couple of years. But just from

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Speaker 1: a you know what, you should be afraid of or

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Speaker 1: worried about with your family.

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Speaker 2: Oh that's interesting. Yeah, yeah, I think it is. I

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Speaker 2: should have ended with the goat story. You know, we

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Speaker 2: never got to a better show business. We never got

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Speaker 2: to The.

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Speaker 1: Gun murders or murders in general across the country were

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Speaker 1: down a lot, I mean, like the most ever last year,

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Speaker 1: and nobody's exactly sure why Trump law and order.

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Speaker 2: Oh last year, Yeah, I don't know.

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Speaker 1: The murder rate is actually a really interesting and mystifying topic,

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Speaker 1: no kidding. A lot of it has to do with

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Speaker 1: a handful of localities, blue cities where generally speaking, young

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Speaker 1: black men settle small disbuse with deadly violence, and that

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Speaker 1: tends to rise and fall with the dynamics again, you know,

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Speaker 1: activity within those cities, and you can see really big changes.

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Speaker 1: Policing is huge, Obviously, it has an effect, and who's

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Speaker 1: in charge of your justice department has an effect too.

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Speaker 2: But a lot of it's just the politics of gangs.

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Speaker 1: Yeah, and unless you live in certain neighborhoods, the likelihood

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Speaker 1: of you being shot doesn't change that much.

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Speaker 2: And by the way, let me save you the.

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Speaker 1: Trouble of writing your email about how wonderful and affectionate

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Speaker 1: and great, your pitbull is I know, ioue you know

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Speaker 1: that the problem with pitbulls is, as I've said before,

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Speaker 1: it's like the difference between having a gun that's a

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Speaker 1: twenty two and one that's a forty five. If the

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Speaker 1: one goes off, that might hurt somebody. The other one

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Speaker 1: goes off, it'll probably kill somebody. That's the problem. Why

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Speaker 1: did a whole bunch of phones stop working yesterday?

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Speaker 2: Why Armstrong and Getty?

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Speaker 8: The President flipping the middle finger at someone who could

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Speaker 8: be heard calling him a pedophile protector over the Epstein files. Well,

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Speaker 8: two separate go fundme pages verified by the side say

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Speaker 8: the worker has been suspended without pay, and so far

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Speaker 8: the pages have raised more than eight hundred thousand dollars

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Speaker 8: for him.

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Speaker 1: Oh GoFundMe comes to the rescue once again, sometimes in weird,

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Speaker 1: weird ways. So the guy that was taunting Trump with

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Speaker 1: you protect pedophiles, he got suspended from.

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Speaker 2: His job there at the Ford Motor Plant. What do

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Speaker 2: we think of that?

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Speaker 1: You're yelling at and taunting an official visitor to the plant.

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Speaker 2: Yeah, you get suspended.

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Speaker 1: I don't want you to do that. If if I

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Speaker 1: run the plant, don't heckle our guests, all right, right,

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Speaker 1: might be the head of Toyota and some sort of

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Speaker 1: technology shore. You might be a politician, might be a scientist,

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Speaker 1: might be anybody. No, you don't get to yell at

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Speaker 1: our guests anyway, guys, got he'll probably have a million

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Speaker 1: dollars buddy, you know, the middle of the day today,

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Speaker 1: So best thing that ever happened. You know, as we

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Speaker 1: look back on the era of madness, have we come

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Speaker 1: up with a good term for the post George Floyd

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Speaker 1: period of insanity?

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Speaker 2: In sanity?

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Speaker 1: We gotta the woke apocalypse is pretty good, you remember.

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Speaker 1: For a cup of coffee, people are saying, bring your

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Speaker 1: whole self to work.

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Speaker 2: Yeah, don't. What a terrible effing idea. Stop it.

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Speaker 1: Bring the part of yourself to work that does the

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Speaker 1: job one and gets along with everybody too, right, And

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Speaker 1: anything that doesn't serve those purposes leave the hell hole.

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Speaker 2: Or in the car or wherever you need to leave it.

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Speaker 2: But go on the internet and complain.

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Speaker 1: So millions of Verizon phones went down yesterday, And there's

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Speaker 1: not much more to say about this story other than,

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Speaker 1: as often happens with these phone outages, power outages, grids

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Speaker 1: going down, They don't really have an explanation, so okay,

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Speaker 1: I hope it was a software this or that.

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Speaker 2: Or something what.

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Speaker 1: I hope it's not, of course, And I am amazed

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Speaker 1: that I never hear anybody mention this on real newscasts

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Speaker 1: or bring up the question was it the freaking.

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Speaker 2: Chinese or the Russians?

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Speaker 1: China testing out whether or not they can shut down

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Speaker 1: our phones if they want to, or the power grid

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Speaker 1: in San Francisco like happened the Saturday before Christmas. I

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Speaker 1: don't think that's paranoid conspiracy talk either. I don't think

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Speaker 1: i'm Candae Owens for bringing that up. You know, they're

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Speaker 1: trying as hard as they can in China to to

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Speaker 1: come up with that technology. Well, of course then they

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Speaker 1: probably have it. I mean, we shut out all the

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Speaker 1: power to Venezuela, right, all the lights went out when

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Speaker 1: we needed a snatch.

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Speaker 2: Maduro, and.

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Speaker 1: The threat was made to do something like that to Tehran.

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Speaker 2: I could see.

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Speaker 1: I could certainly conceive of China saying, hey, before you

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Speaker 1: get too happy doing that sort of thing, click off

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Speaker 1: cause your cell phone service. Two hours later, all right,

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Speaker 1: it's on again. I think I made my point right,

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Speaker 1: or however, long was off. I also understand why they

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Speaker 1: would keep this secret if that's what's going on. I

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Speaker 1: don't need to know that China was involved or rusher

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Speaker 1: or you know exactly what or you're dealing with that

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Speaker 1: behind the scenes. But I hope people are not just

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Speaker 1: taking all these explanations at face value.

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Speaker 2: That's what I hope.

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Speaker 1: So there's another shooting in Minneapolis last night. Let me

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Speaker 1: read the version from the Associated Press. The federal officer

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Speaker 1: shot a man in the leg in Minneapolis after being

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Speaker 1: attacked with a shovel and a broom handle, further heightening

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Speaker 1: the sense of fear and anger radiating across the city,

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Speaker 1: a week after an immigration agent fatally shot.

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Speaker 2: A woman in the head. I'm fine with that so far.

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Speaker 1: I guess what might have been nice to throw in

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Speaker 1: a sentence about she attempted to flee or ram him

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Speaker 1: or whatever, because we do have the CBS News reporting

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Speaker 1: yesterday breaking news the ice agent who fatally shot Renee

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Speaker 1: Good last week suffered internal bleeding to the torso following

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Speaker 1: the incident, According to two US officials brief do on

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Speaker 1: this medical condition. CBS News reported that as fact, they

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Speaker 1: believe the officials apparently and I tend to. But so

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Speaker 1: the dispute whether or not he got hit with the car.

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Speaker 1: You can be one hundred percent against these ICE operations

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Speaker 1: and all that different sort of stuff, But to deny

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Speaker 1: that her car hit the guy, why why are you

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Speaker 1: doing that? Well, people exclude facts that don't fit their

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Speaker 1: narrative all the time.

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Speaker 2: They just ignore them in a way. The trouble is

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Speaker 2: exactly sure why though.

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Speaker 1: I feel like if I was on the other side

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Speaker 1: of this issue, I could say, yeah, she shouldn't have,

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Speaker 1: you know, hit the gas and hit that guy and

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Speaker 1: shouldn't have been there blocking him. But ice has gone

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Speaker 1: way too far and we shouldn't do this in America.

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Speaker 1: It all fits together. He didn't need to shoot her

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Speaker 1: or whatever.

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Speaker 2: Confusing I don't know. I don't know why that is. Yeah,

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Speaker 2: I don't know.

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Speaker 1: I think people see themselves as attorneys in a great

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Speaker 1: trial in America, and I'm not going to say anything

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Speaker 1: to help the defense.

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Speaker 4: Forget it.

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Speaker 1: But in terms of this stuff being hot and getting hotter,

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Speaker 1: well like, for instance, the New York Times is not

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Speaker 1: helping their headline last night over what happened Federal agent

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Speaker 1: shoots immigrant in Minneapolis. Homeland Security says obviously you would

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Speaker 1: jump to the conclusion after last week that this is

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Speaker 1: another shouldn't have happened shooting by.

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Speaker 2: An ICE officer. You don't.

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Speaker 1: Why why wouldn't you put in the headline ice officers attacked,

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Speaker 1: you know, shoots immigrants, something along those lines.

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Speaker 2: But why wouldn't you have that in the appetot shoots assailant? Yeah,

443
00:23:10,520 --> 00:23:11,240
Speaker 2: that's fine.

444
00:23:11,520 --> 00:23:14,320
Speaker 1: Yeah, the point of the shooting was not immigration status.

445
00:23:14,320 --> 00:23:16,360
Speaker 1: It was the fact that they were assaulting an officer.

446
00:23:16,480 --> 00:23:18,120
Speaker 1: I'm building up to a point here that I want

447
00:23:18,160 --> 00:23:21,000
Speaker 1: to discuss that Mark Alpern makes in his newsletter today

448
00:23:21,520 --> 00:23:24,359
Speaker 1: that it's interesting back to the Associated Press reporting on

449
00:23:24,800 --> 00:23:28,959
Speaker 1: last night. I'm not following this closely. Maybe I should be. Man,

450
00:23:28,960 --> 00:23:31,760
Speaker 1: I'm looking at some footage right now. It's pretty crazy there.

451
00:23:32,080 --> 00:23:35,600
Speaker 1: Read this description. Smoke filled the street Wednesday night near

452
00:23:35,640 --> 00:23:38,240
Speaker 1: the site of the latest shooting as federal officers wearing

453
00:23:38,280 --> 00:23:41,639
Speaker 1: gas masks and helmets fired tear gas into a crowd

454
00:23:41,840 --> 00:23:44,520
Speaker 1: while protesters threw rocks and shot fireworks.

455
00:23:44,840 --> 00:23:46,439
Speaker 2: That's pretty hot scene right there.

456
00:23:47,040 --> 00:23:50,360
Speaker 1: And Minneapolis Police Chief Brian O'Hara said during a news

457
00:23:50,359 --> 00:23:53,639
Speaker 1: conference that the gathering was an unlawful assembly and people

458
00:23:53,680 --> 00:23:57,119
Speaker 1: need to leave. So the local police called it an

459
00:23:57,200 --> 00:24:00,199
Speaker 1: unlawful assembly and said people got to go. I mean

460
00:24:00,240 --> 00:24:05,520
Speaker 1: it's getting complicated and dangerous. Obviously it's a power keke.

461
00:24:05,440 --> 00:24:08,240
Speaker 2: It really is. I mean, a really bad scene could happen.

462
00:24:11,160 --> 00:24:14,239
Speaker 1: So and then Tim Walls gave a speech he had

463
00:24:14,400 --> 00:24:18,040
Speaker 1: yesterday saying Minnesota's need to Minnesota's need to keep filming

464
00:24:18,119 --> 00:24:24,880
Speaker 1: ice agents. Trump responded, just resign with all the back

465
00:24:24,920 --> 00:24:26,520
Speaker 1: and forth and all that sort of stuff. This is

466
00:24:26,520 --> 00:24:28,840
Speaker 1: Mark Halpern's analysis. See if you agree with it or not.

467
00:24:31,920 --> 00:24:34,480
Speaker 1: What is going to settle this down is not Walls

468
00:24:34,640 --> 00:24:39,399
Speaker 1: or Fry, its public opinion. Biden lost in part because

469
00:24:39,440 --> 00:24:44,240
Speaker 1: of immigration, and now the Republicans are inexplicable, inexplicably making

470
00:24:44,280 --> 00:24:48,720
Speaker 1: the same mistake. Minnesota is breaking through the national conversation.

471
00:24:49,520 --> 00:24:54,760
Speaker 1: Do you think the overall takeaway from this for the

472
00:24:54,800 --> 00:24:59,439
Speaker 1: country is at this point, this ice enforcement thing has

473
00:24:59,480 --> 00:25:03,320
Speaker 1: gone way too Yeah, judging by the polls I've seen, Yeah,

474
00:25:03,320 --> 00:25:07,359
Speaker 1: that that does seem to be the thinking now before.

475
00:25:07,119 --> 00:25:09,800
Speaker 2: You, Oh my god, and Jay, you've betrayed.

476
00:25:11,520 --> 00:25:14,720
Speaker 1: That includes the fact that virtually all media coverage is

477
00:25:14,800 --> 00:25:18,520
Speaker 1: utterly one sided and unfair. So there remains an opportunity

478
00:25:18,600 --> 00:25:20,880
Speaker 1: to change people's perceptions, but it's going to be tough

479
00:25:20,920 --> 00:25:22,879
Speaker 1: in the way it always is for conservatives.

480
00:25:22,880 --> 00:25:25,680
Speaker 2: Plus, as I've said earlier.

481
00:25:25,320 --> 00:25:30,840
Speaker 1: Trump and company tend to only want to ratchet things up,

482
00:25:32,000 --> 00:25:37,199
Speaker 1: and I think they're already plenty ratcheted. And there's no

483
00:25:37,320 --> 00:25:40,399
Speaker 1: question that folks on the center right even are saying,

484
00:25:40,880 --> 00:25:44,480
Speaker 1: you know, this wrastling people in target to the ground

485
00:25:45,520 --> 00:25:49,399
Speaker 1: and now they're busting people just going to work at

486
00:25:49,400 --> 00:25:54,240
Speaker 1: the big meta plant they're building in Louisiana. That's that's

487
00:25:54,359 --> 00:25:57,040
Speaker 1: kind of not what we voted for. We get it

488
00:25:57,080 --> 00:25:59,520
Speaker 1: in principle, and in principle you can defend it. I mean,

489
00:25:59,560 --> 00:26:03,360
Speaker 1: if they're there are illegals, but I think most people

490
00:26:03,440 --> 00:26:06,040
Speaker 1: had more sympathy for we're going to round up the criminals.

491
00:26:07,560 --> 00:26:10,199
Speaker 1: And it's become a little clouded who's getting rounded up

492
00:26:10,240 --> 00:26:12,720
Speaker 1: exactly and why? And now a lady is dead. She

493
00:26:12,760 --> 00:26:15,280
Speaker 1: seems like a nice lady. Everybody says she's a nice lady.

494
00:26:15,440 --> 00:26:18,560
Speaker 1: And to the extent that people really dig into these stories, yeah,

495
00:26:18,600 --> 00:26:20,200
Speaker 1: it's not going great narrative wise.

496
00:26:23,560 --> 00:26:25,760
Speaker 2: Whaw, one more story.

497
00:26:25,800 --> 00:26:29,080
Speaker 1: I want to bring you the attempt to give Drunks

498
00:26:29,160 --> 00:26:31,800
Speaker 1: Free Booze in San Francisco and how it has worked

499
00:26:31,800 --> 00:26:33,720
Speaker 1: out as a program. But first we should tell you

500
00:26:33,760 --> 00:26:35,800
Speaker 1: about Price Picks. Where do you sign up for that

501
00:26:36,320 --> 00:26:39,160
Speaker 1: just for a friend? Yeah, it's probably not the top

502
00:26:39,200 --> 00:26:41,760
Speaker 1: shelf stuff you're used to, but that's a good point.

503
00:26:43,200 --> 00:26:46,439
Speaker 1: I'm super excited about the NFL action this weekend. I

504
00:26:46,480 --> 00:26:49,639
Speaker 1: can't wait for the playoff games. And you should download

505
00:26:49,640 --> 00:26:51,600
Speaker 1: the Price Packs app and get involved in any of

506
00:26:51,600 --> 00:26:53,840
Speaker 1: the sports that are going on right now. You got

507
00:26:53,880 --> 00:26:58,200
Speaker 1: the basketball mid season obviously the football. Is there anything

508
00:26:58,280 --> 00:27:00,719
Speaker 1: Olympics wise that or no?

509
00:27:00,760 --> 00:27:02,800
Speaker 2: I don't know. I have no idea to ask a h.

510
00:27:03,440 --> 00:27:05,960
Speaker 1: Well, you just picked two to six players and say

511
00:27:06,119 --> 00:27:09,120
Speaker 1: less or more on their stat projections, and there's all

512
00:27:09,119 --> 00:27:11,120
Speaker 1: sorts of flexibility in how you play. But you don't

513
00:27:11,160 --> 00:27:13,000
Speaker 1: have to draft a team then do your trades and

514
00:27:13,080 --> 00:27:15,280
Speaker 1: keep track and your team sucks and your seasons over. No,

515
00:27:15,880 --> 00:27:18,240
Speaker 1: you can enjoy it every weekend long a little or

516
00:27:18,240 --> 00:27:20,240
Speaker 1: a lot. Down load the prize picks up today and

517
00:27:20,320 --> 00:27:22,439
Speaker 1: use that code Armstrong. You get fifty dollars in lineups

518
00:27:22,480 --> 00:27:25,080
Speaker 1: after you play your first five dollars lineup. That coat

519
00:27:25,200 --> 00:27:27,480
Speaker 1: is Armstrong. They give you fifty dollars in lineups to

520
00:27:27,520 --> 00:27:30,400
Speaker 1: play around with. After you play just a five dollars lineup.

521
00:27:30,880 --> 00:27:33,320
Speaker 1: It's fun. You can buy in athletes from different sports,

522
00:27:33,400 --> 00:27:39,680
Speaker 1: prize picks. It's good to be right. So San Francisco

523
00:27:39,720 --> 00:27:41,600
Speaker 1: has cleaned up its act a lot since the new

524
00:27:41,600 --> 00:27:45,959
Speaker 1: mayor took over. But five years ago they came up

525
00:27:46,000 --> 00:27:51,679
Speaker 1: with this program California NNGO non governmental organization that you

526
00:27:51,680 --> 00:27:54,040
Speaker 1: should be familiar with those letters from what went on

527
00:27:54,119 --> 00:27:57,439
Speaker 1: in Minnesota, for instance, with nine billion dollars being stolen

528
00:27:57,480 --> 00:28:02,720
Speaker 1: from lots of those kind of organizations. It's called Community Forward.

529
00:28:03,200 --> 00:28:07,679
Speaker 1: They're running San Francisco's managed alcohol program. I had a

530
00:28:07,720 --> 00:28:10,640
Speaker 1: managed alcohol program there for quite a portion of my life,

531
00:28:10,680 --> 00:28:12,760
Speaker 1: and I didn't manage it very well.

532
00:28:14,040 --> 00:28:14,680
Speaker 2: The NGO.

533
00:28:14,840 --> 00:28:18,720
Speaker 1: This NGO is supposed to provide free alcohol shots for

534
00:28:18,760 --> 00:28:24,920
Speaker 1: homeless alcoholics. So apparently you're drunk, you're on the street.

535
00:28:24,960 --> 00:28:27,600
Speaker 7: And you can say I just really needing it today,

536
00:28:27,680 --> 00:28:30,919
Speaker 7: and they give you a shot alcohol. Do you have

537
00:28:31,000 --> 00:28:35,720
Speaker 7: the Glenn Morency fourteen year Just one ice cube?

538
00:28:35,720 --> 00:28:39,000
Speaker 2: Please, one ice cube.

539
00:28:41,320 --> 00:28:45,200
Speaker 1: The program for five years was funded to the tune

540
00:28:45,200 --> 00:28:47,360
Speaker 1: of sixteen million dollars.

541
00:28:48,120 --> 00:28:48,400
Speaker 7: Wow.

542
00:28:48,520 --> 00:28:52,280
Speaker 2: That's a bar tab. It ended up being.

543
00:28:53,720 --> 00:28:56,360
Speaker 1: Or they got sixteen million dollars per year for five years,

544
00:28:56,360 --> 00:28:57,480
Speaker 1: so a total of eighty.

545
00:28:57,240 --> 00:28:58,640
Speaker 2: Million dollars home.

546
00:28:58,640 --> 00:29:04,120
Speaker 1: I'm still ill, not at the punchline yet though, WHOA, I.

547
00:29:04,080 --> 00:29:05,800
Speaker 2: May need a drink to take this story.

548
00:29:05,840 --> 00:29:11,280
Speaker 1: In total, cost eighty million dollars over five years. They

549
00:29:11,440 --> 00:29:21,600
Speaker 1: served fifty five clients, fifty five. You know, I have

550
00:29:21,680 --> 00:29:25,240
Speaker 1: a great and incredible story about handing out money, your

551
00:29:25,240 --> 00:29:29,600
Speaker 1: money to your cronies in San Francisco under the you know,

552
00:29:29,880 --> 00:29:32,560
Speaker 1: in the guise of this is a charitable program.

553
00:29:32,680 --> 00:29:33,520
Speaker 2: Yeah, yeah it is.

554
00:29:33,640 --> 00:29:35,560
Speaker 1: But that's that's the winner that that may be the

555
00:29:35,600 --> 00:29:40,800
Speaker 1: all time winner. Yeah, eighty million dollars for fifty five drunks.

556
00:29:41,280 --> 00:29:41,920
Speaker 2: Probably not.

557
00:29:42,040 --> 00:29:44,560
Speaker 1: I mean we we've we around the country, but certainly

558
00:29:44,600 --> 00:29:46,640
Speaker 1: California have thrown so many giant chucks of money at

559
00:29:46,640 --> 00:29:49,560
Speaker 1: homelessness and not really done anything. But this one's a

560
00:29:49,560 --> 00:29:52,520
Speaker 1: particularly jazzy one because the program is so stupid to

561
00:29:52,560 --> 00:29:54,800
Speaker 1: start with, given free shots.

562
00:29:54,440 --> 00:29:56,720
Speaker 2: Too drunks on the street.

563
00:29:57,080 --> 00:29:59,360
Speaker 1: I mean, god, and why would it cost sixteen million

564
00:29:59,400 --> 00:30:02,120
Speaker 1: dollars a year to do that? I mean, what what

565
00:30:02,560 --> 00:30:06,200
Speaker 1: manner are you using to get booze and distribute it.

566
00:30:06,280 --> 00:30:08,240
Speaker 2: That would cost sixteen million dollars a year.

567
00:30:08,400 --> 00:30:10,840
Speaker 1: But the fact that only fifty five people either knew

568
00:30:10,880 --> 00:30:14,240
Speaker 1: about it or took advantage of it or whatever is astounding.

569
00:30:15,080 --> 00:30:18,840
Speaker 1: You know, there are some sincere do gooders in the world.

570
00:30:18,920 --> 00:30:20,600
Speaker 1: But I would argue the one thing you got wrong

571
00:30:20,680 --> 00:30:24,160
Speaker 1: in your screed was the idea that they ever intended

572
00:30:24,760 --> 00:30:26,880
Speaker 1: to do anything about the so called homeless program.

573
00:30:27,560 --> 00:30:29,240
Speaker 2: That was never the intent. The intent was to give

574
00:30:29,240 --> 00:30:29,800
Speaker 2: out the money.

575
00:30:29,960 --> 00:30:34,080
Speaker 1: The excuse was this will help the checks mad libs

576
00:30:34,640 --> 00:30:37,880
Speaker 1: homeless situation, handing this money to my cronies.

577
00:30:40,280 --> 00:30:42,240
Speaker 2: This has been our theme for many, many years.

578
00:30:42,240 --> 00:30:47,080
Speaker 1: But we are such a rich country and so comfortable

579
00:30:47,280 --> 00:30:52,640
Speaker 1: even the supposed put upon middle class and lower classes

580
00:30:53,960 --> 00:30:56,200
Speaker 1: just don't care how government money is spent. Of course,

581
00:30:56,200 --> 00:30:58,400
Speaker 1: part of that is half the country doesn't pay federal taxes,

582
00:30:59,000 --> 00:31:01,160
Speaker 1: so you know that has a lot to do.

583
00:31:01,120 --> 00:31:02,600
Speaker 2: With not paying attention to where money goes.

584
00:31:02,600 --> 00:31:07,040
Speaker 1: But a sixteen million dollars for those fifty five, just

585
00:31:07,040 --> 00:31:08,640
Speaker 1: to do the math, that's a two hundred and ninety

586
00:31:08,680 --> 00:31:10,960
Speaker 1: one thousand dollars bar tab annually per person.

587
00:31:11,560 --> 00:31:14,800
Speaker 2: Well, you should have some pretty high top shelf stuff there. Yeah.

588
00:31:14,920 --> 00:31:17,440
Speaker 1: Wow, that include the appetizers and stuff, because I had

589
00:31:17,480 --> 00:31:19,360
Speaker 1: like a little something in my tummy. If I'm going

590
00:31:19,400 --> 00:31:21,600
Speaker 1: to be drinking a quarter million dollars worth of booze,

591
00:31:22,080 --> 00:31:25,680
Speaker 1: that should be some Louis the twelfth Champagne served to

592
00:31:25,720 --> 00:31:32,160
Speaker 1: you by Louis the twelve somepelf with the Marie Antoinette

593
00:31:32,200 --> 00:31:34,800
Speaker 1: and the Neglige or something. You know, I've got another

594
00:31:34,880 --> 00:31:38,160
Speaker 1: story of San Francisco graft, but we've run out of time.

595
00:31:38,040 --> 00:31:39,360
Speaker 2: And you are right amazing.

596
00:31:39,400 --> 00:31:42,080
Speaker 1: The thing to remember is they don't intend to do

597
00:31:42,120 --> 00:31:43,560
Speaker 1: anything good with it in the first place.

598
00:31:43,600 --> 00:31:45,719
Speaker 2: It's just a scam. That's what we need to remember,

599
00:31:45,800 --> 00:31:46,240
Speaker 2: all of us.

600
00:31:46,640 --> 00:31:48,440
Speaker 3: Thanks for taking the money.

601
00:31:49,080 --> 00:31:53,960
Speaker 1: Well said young lady. More on the way.

602
00:31:55,840 --> 00:31:56,160
Speaker 4: Get this.

603
00:31:56,320 --> 00:31:59,240
Speaker 1: The USDA is now using Trump in their new campaign

604
00:31:59,280 --> 00:32:01,040
Speaker 1: to encourage people to drink whole milk.

605
00:32:01,360 --> 00:32:04,200
Speaker 2: This is real and Trump also filmed a commercial. Check

606
00:32:04,240 --> 00:32:06,120
Speaker 2: this out. Do you drink skin milk?

607
00:32:06,240 --> 00:32:06,440
Speaker 4: No?

608
00:32:06,440 --> 00:32:08,840
Speaker 3: No, no, no, no milk.

609
00:32:08,680 --> 00:32:11,560
Speaker 2: No no no, no, no, almond oat or coconut milk?

610
00:32:11,640 --> 00:32:14,840
Speaker 2: Absolutely not. What are you talking about? How about delicious,

611
00:32:14,920 --> 00:32:17,360
Speaker 2: nutritious whole milk? Oh yes, yes, sir.

612
00:32:17,560 --> 00:32:20,120
Speaker 5: Sold whole milk makes you big and strong, So you

613
00:32:20,160 --> 00:32:21,600
Speaker 5: can lift weights like this.

614
00:32:23,240 --> 00:32:23,560
Speaker 4: Or this.

615
00:32:26,600 --> 00:32:26,880
Speaker 2: Or this.

616
00:32:27,280 --> 00:32:31,280
Speaker 7: Ah.

617
00:32:31,320 --> 00:32:34,800
Speaker 2: So, what's your favorite drink? Coca Cola? He was supposed

618
00:32:34,840 --> 00:32:35,600
Speaker 2: to say, whole milk.

619
00:32:35,920 --> 00:32:36,480
Speaker 6: I think.

620
00:32:38,000 --> 00:32:43,280
Speaker 2: The new RFK junior FDA pushing whole milk on us.

621
00:32:43,600 --> 00:32:44,320
Speaker 2: Better or worse?

622
00:32:45,280 --> 00:32:45,560
Speaker 4: What it?

623
00:32:45,640 --> 00:32:45,880
Speaker 2: Okay?

624
00:32:46,560 --> 00:32:47,000
Speaker 4: What else?

625
00:32:47,240 --> 00:32:50,040
Speaker 1: Make your own decision, Check your local listings. So we're

626
00:32:50,080 --> 00:32:53,640
Speaker 1: talking about the incredible levels of graft in cal Unicornia,

627
00:32:53,840 --> 00:32:57,160
Speaker 1: San Francisco having to do with the so called homeless

628
00:32:57,160 --> 00:32:58,080
Speaker 1: and drunks and whatever.

629
00:32:58,560 --> 00:33:00,600
Speaker 2: Story last segments stunning.

630
00:33:00,640 --> 00:33:02,400
Speaker 1: If you didn't hear it, grab the podcast Armstrong and

631
00:33:02,440 --> 00:33:05,920
Speaker 1: getting on demand Yatis describe anyway. But so, for some reason,

632
00:33:05,960 --> 00:33:09,560
Speaker 1: the new mayor, who's saying Daniel Lurie, signed this legislation

633
00:33:09,760 --> 00:33:13,200
Speaker 1: to further the work of building a framework for reparations

634
00:33:13,200 --> 00:33:17,600
Speaker 1: for black citizens. Blah blah blah. It's not actually funded.

635
00:33:17,640 --> 00:33:19,400
Speaker 1: It's just kicking the can down the road again. But

636
00:33:19,680 --> 00:33:24,040
Speaker 1: they point out in the Free Press that not long

637
00:33:24,080 --> 00:33:28,920
Speaker 1: ago the old mayor, London Breed, who was engaged in

638
00:33:29,040 --> 00:33:32,120
Speaker 1: just blatant corruption through this very kind of identity based

639
00:33:32,160 --> 00:33:35,280
Speaker 1: grant program. As I reported at the time, this reporter

640
00:33:35,400 --> 00:33:39,000
Speaker 1: race excuse me, the Breeden administration funneled nearly one hundred

641
00:33:39,040 --> 00:33:42,960
Speaker 1: million dollars to a handful of activist staff departments that

642
00:33:43,120 --> 00:33:47,280
Speaker 1: functioned largely as make work and vote buying schemes. She

643
00:33:47,440 --> 00:33:51,280
Speaker 1: called it the city's Dei industrial complex. These city run

644
00:33:51,360 --> 00:33:55,880
Speaker 1: fiftoms included a bunch of different the City's Human Rights Commission,

645
00:33:55,920 --> 00:33:59,160
Speaker 1: Department on the Status Women, Office of Transgender Initiatives, Office

646
00:33:59,160 --> 00:34:02,560
Speaker 1: of Racial Equity under Breed. These departments ran programs offering

647
00:34:02,680 --> 00:34:05,520
Speaker 1: hundreds of thousands of dollars in monthly guaranteed InCom blah

648
00:34:05,560 --> 00:34:07,800
Speaker 1: blah blah for people who identified is this that or

649
00:34:07,840 --> 00:34:08,160
Speaker 1: the other.

650
00:34:08,440 --> 00:34:13,319
Speaker 2: But it almost was entirely no show jobs and.

651
00:34:13,320 --> 00:34:15,239
Speaker 1: Fake jobs and people who just showed up at the

652
00:34:15,280 --> 00:34:17,239
Speaker 1: office and drake coffee and went home or stayed for

653
00:34:17,280 --> 00:34:21,000
Speaker 1: an hour or whatever. And that's the point spreading the

654
00:34:21,040 --> 00:34:26,000
Speaker 1: money around. It's machine politics, and my God, reject all

655
00:34:26,040 --> 00:34:30,640
Speaker 1: tax increases reflexively. Then this twenty men have been charged

656
00:34:30,680 --> 00:34:33,520
Speaker 1: in a point shaving scheme involving more than thirty nine

657
00:34:33,680 --> 00:34:38,560
Speaker 1: college basketball players on more than seventeen NCAA Division One teams,

658
00:34:38,640 --> 00:34:41,680
Speaker 1: leading to more than twenty nine games being fixed. According

659
00:34:41,719 --> 00:34:44,040
Speaker 1: to a federal indictment, unsealed in the Eastern District of

660
00:34:44,040 --> 00:34:48,640
Speaker 1: Pennsylvania Division one NCAA basketball games that were fixed over

661
00:34:48,640 --> 00:34:49,920
Speaker 1: the last several seasons.

662
00:34:50,080 --> 00:34:51,400
Speaker 2: Yeah, this is a problem.

663
00:34:51,520 --> 00:34:55,759
Speaker 1: We're officially at the something's got to be done, aren't we,

664
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Speaker 1: now that it's the NBA Major League Baseball college basketball,

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Speaker 1: which is a huge deal. Fifteen to the defendants played

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Speaker 1: last season or the season before. Some have played this season.

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Speaker 1: Two of the players named in the indictment, said Quavious

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00:35:13,440 --> 00:35:19,440
Speaker 1: Hunter and die Quavian Short oddly similarly named, were sanctioned

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Speaker 1: in November by the NCAA for fixing New Orleans games,

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Speaker 1: some of them being paid as much as thirty thousand

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Speaker 1: dollars to you know, swing a game one way.

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Speaker 2: Or the other.

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Speaker 1: Just again, shave points right right. You don't have to

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Speaker 1: swing the game, you just have to get within the

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Speaker 1: the over.

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Speaker 2: Under or whatever thirty grand or the spread. This is

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Speaker 2: a problem. I don't know what they're gonna do about it.

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Speaker 1: But what I'm gonna enjoy today, probably happening right now,

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00:35:50,080 --> 00:35:52,440
Speaker 1: is a whole bunch of sleuths are going to go

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00:35:52,520 --> 00:35:56,239
Speaker 1: back through various games that these named players were in,

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00:35:56,760 --> 00:36:00,919
Speaker 1: and we're gonna get videos soon of ridiculous shots where

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Speaker 1: you know their free throw goes halfway to the basket

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00:36:03,320 --> 00:36:05,480
Speaker 1: or something like that, and it's obviously the obvious that

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00:36:05,520 --> 00:36:08,399
Speaker 1: the tankd it. Or they're up twelve and they throw

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00:36:08,480 --> 00:36:10,800
Speaker 1: the ball away twice in the last minute and oh

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Speaker 1: now they're only up six. That's funny, but they still

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Speaker 1: won the game. Jim, the Fighting Pelicans look great tonight.

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Speaker 2: Dang it.

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Speaker 1: I don't know what we're gonna do about this. We've

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00:36:18,400 --> 00:36:19,680
Speaker 1: got a lot on the way. If you miss a secment,

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00:36:19,680 --> 00:36:24,160
Speaker 1: get the podcast Armstrong and Getty on demand Armstrong and

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00:36:24,280 --> 00:36:25,640
Speaker 1: Getty