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Speaker 1: This is what happens when the fourth turning meets fifth

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Speaker 1: generation warfare.

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Speaker 2: On your belove, a commentator, international social media sensation and

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Speaker 2: former Navy intelligence veteran.

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Speaker 3: This is human events with your host, Jack Persoviet Christ.

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Speaker 4: Is the major development in the Middle East.

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Speaker 5: The seasfire between Israel and Hesbelah took effect overnight.

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Speaker 6: The Israel War Room is saying that ceasefire may have

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Speaker 6: already technically been breached within hours. The page stating quote

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Speaker 6: the IDF reports multiple vehicles carrying suspected terrorists entered a

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Speaker 6: restricted area in southern Lebanon, violating the agreement.

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Speaker 7: Clearly, Putin has a type he likes narcissists and egomaniacs

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Speaker 7: that he knows as a case officer he could easily

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Speaker 7: pantter to and manipulate to do his dirty work.

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Speaker 4: We are under attack.

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Speaker 7: Russia has been using different levers, whether that's corruption, networks

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Speaker 7: in this case, it's influencers like Donald Trump, like Elon

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Speaker 7: Musk to really kind of sow discord.

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Speaker 8: President elect Trump's threat to impose tariffs on America's neighbors

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Speaker 8: already prompting a growing fight with Mexico and Canada. Mexico's

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Speaker 8: new president, threatening to retaliate with tariffs of their own

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Speaker 8: if Trump follows through on his pledge to impose twenty

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Speaker 8: five percent across the board tariffs on both countries.

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Speaker 2: According to a nationwide poll by the website five thirty eight,

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Speaker 2: Vice President Kamala Harris does lead former President Donald Trump.

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Speaker 4: How deep was the hole that she had to climb

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Speaker 4: out of?

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Speaker 2: I mean, I think it surprised people because there was

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Speaker 2: these public polls that came out in late September early

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Speaker 2: October shown us with leads that we never saw.

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Speaker 4: I just have to remind you, don't you ever let

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Speaker 4: anybody take your power from you. You have the same

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Speaker 4: power that you did before.

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Speaker 9: November fifth Trump Band's transition team saying that some members

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Speaker 9: or potential members of the incoming administration are facing serious threats.

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Speaker 9: The team issuing this statement quote last night and this morning,

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Speaker 9: several of President Trump's cabinet nominees and administration appointees were

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Speaker 9: targeted in violent Unamerican threats to their lives and those

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Speaker 9: who lived with them. These attacks range from bomb threats

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Speaker 9: to swatting ladies.

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Speaker 1: John Welcome Forward Today Edition, Human Events Daily Here Live

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Speaker 1: where the mar Al Lago editions continue on Human Events Daily.

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Speaker 1: Today is November twenty seventh, twenty twenty four, Anno Dominie. Yesterday,

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Speaker 1: I sat in this chair, sat right here yesterday, and

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Speaker 1: I told you that more threats were.

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Speaker 4: Coming for the left. We in fact, did the entire

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Speaker 4: program on it yesterday.

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Speaker 1: Bis Shawn, I was talking about when prophecy fails. I

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Speaker 1: gave you all homework, and I hope that people actually

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Speaker 1: went out and read the book, maybe even read a

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Speaker 1: summary of it, because I told you that they would

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Speaker 1: be getting more feral, and I told you that they

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Speaker 1: would be getting worse. Now we know that Lee Zelden

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Speaker 1: and a number of other Trump nominees I've gotten. I've

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Speaker 1: gotten a bunch of names, and I'll just say, these

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Speaker 1: are families with children. All right, I'm not going to

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Speaker 1: put the names out, but these are families with children.

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Speaker 1: They're at home and they've been swatted. Well, what is

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Speaker 1: swatting boys and girls. It's what happened to my family

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Speaker 1: last year, specifically my parents. And I'll just say the

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Speaker 1: ones that came after my parents last year and tried

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Speaker 1: to rain this on them, they.

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Speaker 4: Were dealt with.

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Speaker 1: And they thought that being overseas at the time would

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Speaker 1: save them it. So what are we hearing now, folks?

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Speaker 1: The harsh truth is that swatting is not some harmless game.

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Speaker 1: It's a tactic deployed by radical elements within these left

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Speaker 1: wing poults, designed and in bolded into over the years

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Speaker 1: to provoke a law enforcement response, putting lives at risk.

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Speaker 1: It's a game of Russian Roulette with real bullets. We

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Speaker 1: remember the two assassination attempts on President Trump this year.

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Speaker 4: That was this year.

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Speaker 1: This pattern is cut from the same flaw, the same

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Speaker 1: violent cult mentality go read on human the same hatred,

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Speaker 1: the same refusal to accept the outcome that is driving

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Speaker 1: these acts, the targeted harassment, the echoes of violent the

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Speaker 1: left's actual war on the status quo in our country,

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Speaker 1: and when you can't win at the polls, you attack

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Speaker 1: the player. This is a strategy born out of desperation

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Speaker 1: and a belief that they're right to power overrides the

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Speaker 1: basic rules of law and basic human decency. Look, they

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Speaker 1: were swatting my family last year. Now they're swatting members

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Speaker 1: of the incoming Trump administration, and they know the came

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Speaker 1: get them at the mar A Lago or West Palm

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Speaker 1: Beach golf course or the transition office. But what are

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Speaker 1: they going to do. Oh, now they're going to go

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Speaker 1: after your home. Now they're going after your family. Now

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Speaker 1: they're going after your children. This is a wake up call.

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Speaker 1: The left's violent cult mentality has been unchecked for too long.

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Speaker 1: They've gone from words to actions, from protests to riots,

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Speaker 1: to swatting, and from that to outright assassination attempts. So

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Speaker 1: right now we need to demand justice because justice is

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Speaker 1: the only thing that's actually going to change anything here.

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Speaker 1: This is about preserving the peace and safety that all Americans.

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Speaker 1: Tell us what side of the ail on you deserve,

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Speaker 1: and when justice comes, it will come and swing down

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Speaker 1: as an angle of hammer.

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Speaker 4: This was an act of terrorism and it will be dealt. Epearings. Hey,

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Speaker 4: you know that you talk about influencers. These are influencers

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Speaker 4: and their friends of mine.

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Speaker 10: Jack Jack.

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Speaker 4: Break down, all.

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Speaker 1: Right, jach Re Subrick back here a live Human Events daily.

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Speaker 1: The mar A Lago Editions continues over at mar A Lago.

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Speaker 1: Last night, got to see the President, got to see

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Speaker 1: some other members of the incoming administration, and I just

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Speaker 1: have to say it's so impressive, so impressive, seeing the

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Speaker 1: operation that they've put together the people that they're bringing together,

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Speaker 1: the in depth process that is going on in terms

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Speaker 1: of people. Hats off to everyone that's involved in the

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Speaker 1: transition that everyone that's there surgery of for of course,

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Speaker 1: who is you know, really kind of a referee in

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Speaker 1: what we're dealing with. Look at what is going.

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Speaker 4: On in this country.

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Speaker 1: The threats against our lawmakers, the threats against the nominees,

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Speaker 1: the threats against care families.

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Speaker 4: This is STILLUS now, Kenny.

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Speaker 1: I know you've got your big piece up about the

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Speaker 1: confirmation process. Can you can you give us a little

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Speaker 1: response about how the left react latest? Uh, And it's

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Speaker 1: an attack and I'm just going to call it. This

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Speaker 1: was a terrorist attack on the trumpet.

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Speaker 10: What absolutely is And I'll think that that's the entire point.

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Speaker 10: You know, it actually connects to the article in part

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Speaker 10: you know, this is the reason why they need to

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Speaker 10: be confirmed is these nominees pose a threat to the

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Speaker 10: cultural Marxist left, who poses a threat to those who

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Speaker 10: want to commit terrorism against us.

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Speaker 3: And this shows how much of threat they actually are.

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Speaker 10: And we're not just talking about like the firebrands like

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Speaker 10: Telsea Gabbard, Pete Hegseth and Robert Kennedy, but people like

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Speaker 10: Lee Zelden who have been who have been targeted somebody

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Speaker 10: who is you know, mostly the University of Love by

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Speaker 10: the GOP and by the New York State when he

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Speaker 10: almost beat Kathy Hackle in the governor's race there. So

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Speaker 10: they view not only the ones they're deeming as radical,

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Speaker 10: like Kennedy, Gabbard, and Hexseth, the ones they want to

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Speaker 10: target the most. They are targeting even establishment picks and

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Speaker 10: even those who are favored among even the most moderate Republicans.

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Speaker 10: They're like people like this, like Zelden, like I this

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Speaker 10: referred to. If they think Lee Zelden is a threat,

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Speaker 10: imagine when they think about p Hegseth, Tulsa Gabbard, Robert Kennedy,

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Speaker 10: the new NIH director, those Trump administration officials that he's

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Speaker 10: going to have around him, people like Stephen Miller. Imagine

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Speaker 10: what threat that they posed to the cultural left that

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Speaker 10: has now targeted us through terror attacks.

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Speaker 3: This just proves that it doesn't really matter who you are.

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Speaker 10: If you are vocal, if you are just vocally maga firebrand,

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Speaker 10: you know, fire breathing conservatives, or you're just somebody who

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Speaker 10: is willing to help out the administration. This just proves

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Speaker 10: if you align with Donald Trump and you align with

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Speaker 10: the GOP, they ve you as an extremist, rot.

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Speaker 3: Threat, a republican threat to.

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Speaker 10: Democracy, and when they are really the ones who are

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Speaker 10: threatening democracy at this standpoint, they're the ones who are

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Speaker 10: conducting terrorist attacks and evil actions against us. So we

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Speaker 10: have to be willing to address that and call it

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Speaker 10: what it is, which is domestic terrorism.

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Speaker 1: Now it clearly is NAC that domestic terrorism. I certainly

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Speaker 1: hope that it's investigated, prosecuted, and the people who acted

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Speaker 1: this or convicted immediately and given swift justice. Kenny walk

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Speaker 1: us through though, and you're right, it does tie back

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Speaker 1: to your article about the why the GOP must confirm

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Speaker 1: Trump's nominees. You mentioned Tulca Gabbert, rfk J. Bodicharia, a

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Speaker 1: guy who actually went and signed the Great Barrington Declaration

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Speaker 1: is now who came out totally against Fauci. It was

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Speaker 1: like Fauci's arch nemesis is now getting Fauci. Well, the

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Speaker 1: job of Fauci's boss would have been as boll As

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Speaker 1: Francis Collins as director of the NIH. So Kenny talk

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Speaker 1: to us about this situation where we're really getting in

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Speaker 1: sort of the inverse of the government we had before.

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Speaker 10: Well, I think this's the entire purpose andess of the

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Speaker 10: American people have demanded, as we are getting the inverse

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Speaker 10: of the Biden administration and the Kamala Harris administration. These

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Speaker 10: pigs are a complete rejection of the deep state, of

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Speaker 10: complete rejection of the establishment, and a complete rejection of

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Speaker 10: prior administration's past. And that's why they need to be confirmed.

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Speaker 10: Do you really think that the same people who are

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Speaker 10: going to vote against Hegseeth Gabbard or Kennedy would have

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Speaker 10: really you had a conscience and said, well, these Democratic

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Speaker 10: picks that Biden in point put up are not qualified

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Speaker 10: or they have had allegations against them in the past,

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Speaker 10: the same way Republicans like Susan Collins and others are

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Speaker 10: doing right now. Republicans finally need to be party lined.

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Speaker 10: We've got to step up and confirm our president's nominee

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Speaker 10: because the American people have mandated it. This is not

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Speaker 10: something where a popular vote has been lost, a narrow

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Speaker 10: electoral victory or what have you, or we can afford

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Speaker 10: to say, hey, this person has false allegations, or this

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Speaker 10: person has been on a no fly list, or you know,

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Speaker 10: Robert Kennedy has said crazy things on a podcast. Whatever,

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Speaker 10: they need to step up and actually confirm the mandate

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Speaker 10: that has been proposed by the American people.

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Speaker 3: These people do.

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Speaker 10: Is no time to be centrist, is no time to

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Speaker 10: be moderate, is no time to be electorally bible. It

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Speaker 10: is time to confirm President Trump's nominees for the administration

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Speaker 10: that he has got a mandate by the American people for.

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Speaker 3: There was not a popular vote loss.

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Speaker 10: This was not an electoral slide by a narrow electoral margin.

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Speaker 10: This was a mandate by the American people that carried

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Speaker 10: the Senate over, that carried the House over, and gave

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Speaker 10: Donald Trump back the White House. So if we really

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Speaker 10: want to make an impact and reject the very administration

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Speaker 10: that has imposed authoritarian threats to democracy and to the

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Speaker 10: Republican Party, we need to confirm these nominations.

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Speaker 3: In large.

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Speaker 10: There shouldn't be one de fact deflection, there shouldn't be

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Speaker 10: one diffractman. We should be able to confirm these nominees easily,

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Speaker 10: and I hope we see that from the Senate GOP,

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Speaker 10: because we need to see that the mandate is proposed and.

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Speaker 1: Confirmed Okay, I agree that build here very simple and

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Speaker 1: it's a very simple proposition. The idea is the American

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Speaker 1: people have chosen this. And yes, I'll certainly agree that

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Speaker 1: these are unorthodox nominees Pete Hegseth Tulci, Gabbert, Bobby Kennedy,

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Speaker 1: j Bodicharia, people who are former Democrats, people who aren't

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Speaker 1: necessarily part of the system. But America, those people who

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Speaker 1: were unconventional America chose this unconventional team of outsiders, of

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Speaker 1: a broad coalition of people from across the ideological spectrum

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Speaker 1: because they all shared one belief that Washington is broken

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Speaker 1: and that the Beltway bandits in there have been stealing

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Speaker 1: dollars and stealing sucker from the taxpayers. Why is it

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Speaker 1: that the richest counties in America are all situated around Washington,

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Speaker 1: d C. Shouldn't that money exist out elsewhere in the country.

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Speaker 1: Shouldn't that money that was taken from the people of

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Speaker 1: the United States belonged to the people of the United States.

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Speaker 1: Understand this goes back to what Michael Moore said all

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Speaker 1: those years ago that Donald Trump is a weapon that

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Speaker 1: is being used by the people of this country, that

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Speaker 1: they are lobbing directly into the heart of Washington, DC

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Speaker 1: on purpose like Russia and putin firing a missile politically

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Speaker 1: speaking into Washington, DC.

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Speaker 4: Kenny, That's what's really going on, isn't it?

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Speaker 3: One hundred percent?

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Speaker 10: I mean, the blue carl and working class this country

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Speaker 10: are the ones that put Donald Trump back in office.

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Speaker 10: And they're the same people who want to see the

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Speaker 10: submitted change that is going to happen from people like

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Speaker 10: Kennedy Gabber, the NIH director, and Pete Hegseth. They may

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Speaker 10: be unconventional, but Donald Trump is an unconventional president. The

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Speaker 10: MAGA movement is an unconventional political strategy and a political movement.

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Speaker 3: That's what the American people want.

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Speaker 10: They don't want establishment politics. They don't want politics that

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Speaker 10: caters to the upper class. They don't want politics to

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Speaker 10: contribute to the deep state.

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Speaker 3: They have voted in change.

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Speaker 10: They have voted in the inverse as you said earlier,

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Speaker 10: of the prior administration and the way politics have been

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Speaker 10: done in Washington, d C. For far too long. And

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Speaker 10: they even want to inverse of what twenty sixty seventeen

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Speaker 10: through twenty twenty one on was of Donald Trump. And

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Speaker 10: Donald Trump knows that he is selecting people that he

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Speaker 10: is not beholden to.

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Speaker 3: He is selecting those.

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Speaker 10: Administration officials that are actually going to facilitate change to

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Speaker 10: just keep the status quo. This is a rejection of

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Speaker 10: the normalization of the deep state.

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Speaker 3: They have been in control of Washington d C.

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Speaker 10: The Uniparty has been the control of Washington d C

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Speaker 10: for far too long, and it's time to put back

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Speaker 10: in power those who have been loyal to Donald Trump,

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Speaker 10: those who promise to facilitate change, and that know what

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Speaker 10: they're doing.

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Speaker 3: And these people are qualified.

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Speaker 10: Kennedy, Gabbart, Heckseth and others are so qualified to be

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Speaker 10: doing what they're doing in any kind of curve or

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Speaker 10: path off of that is simply a cave to put

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Speaker 10: some of these people that are refusing to confirm these

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Speaker 10: nominees back in office for once. These people like Susan Collins,

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Speaker 10: Lisa Murkowski and others should be willing to put their

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Speaker 10: necks on the line for the American people because that

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Speaker 10: is what they have been mandated to do. We won

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Speaker 10: the popular vote the electoral College and put the Senate

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Speaker 10: and House majorities over the line and over the threshold,

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Speaker 10: and they have to vote to confirm these nominees or

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Speaker 10: really not going to have the true change that American needs.

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Speaker 1: Kenny's article is up at Humanevents dot com. Kenny Cody,

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Speaker 1: the GOP must confirm Trump's nominees that he is keeping

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Speaker 1: his goal in his cross ears. And by the way, Kenny,

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Speaker 1: I've seen a lot of people don't know this, but

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Speaker 1: I've seen down here at the Transition Office the nominees

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Speaker 1: are involved in the actual in the actual interview process.

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Speaker 1: They're vetting people who might potentially come in with them.

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Speaker 1: I mean, this is just an incredible, incredible job that

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Speaker 1: they are doing.

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Speaker 4: Kenny. Where can people go to follow you? Where can

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Speaker 4: they get more info on your writings?

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Speaker 10: They can go to at Katie Cody t in on

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Speaker 10: Twitter or x and true social, and they can find.

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Speaker 3: Me on macrad dot com from my article a Cops.

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Speaker 3: Thank you Jack so much.

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Speaker 4: All right, Happy Thanksgiving brother.

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Speaker 11: And I'm working long hours. I'm always listening to Human

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Speaker 11: Events with Jack Bosobic.

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Speaker 1: All right, Jack Prosobeck back here live Human Events daily.

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Speaker 1: The mar A Lago additions continue having a great time

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Speaker 1: down here at mar A Lago. But of course going

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Speaker 1: to be flying back to Thanksgiving with the entire family

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Speaker 1: Philadelphia area.

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Speaker 4: Here I come, folks. Donald J.

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Speaker 1: Trump is President elect and to make America great again.

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Speaker 1: There's a ton of work to be done. And the

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Speaker 1: way that I start my day was with the hot

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Speaker 1: America first cup of Blackout Coffee. This coffee we're talking

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Speaker 1: hundred percent committed to conservative values. From sourcing the beans

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Speaker 1: true American values and accept no compromise on taste or quality. Look,

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Speaker 1: I love this stuff. You guys are gonna love this stuff.

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Speaker 1: I know it's getting the Christmas season. We're getting into

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Speaker 1: the holidays, Thanksgiving, Christmas, New Years. Everybody needs to re energize.

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Speaker 1: Do so with Blackout Coffee. And by the way, it

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Speaker 1: month subscription this Christmas. They are going to love this thing.

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Speaker 1: They're going to have it all year. Richard Baris, the

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Speaker 1: People's Pundit, is our next guest here on Human Events Daily.

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Speaker 1: Richard Baris, Richard Benna. This is a guy who so

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Speaker 1: many people wanted to say all year. Rich They want

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Speaker 1: to say that you're wrong, that you have no idea

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Speaker 1: what's going on, that you're completely out of it, that

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Speaker 1: you're making it up, you're a fram you're a next job.

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Speaker 1: You know your polls are all over the place. And

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Speaker 1: yet poll Watch just came out last night. Pole Watch

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Speaker 1: twenty twenty came out last night and said, drum roll.

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Speaker 4: Please, folks.

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Speaker 1: Top pollster ranking for the twenty twenty national Popular Vote

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Speaker 1: number three, Atlas, Intel number two, Wall Street Journal number one.

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Speaker 4: Richard Barris, the.

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Speaker 1: Big data poll only off by zero point one percent.

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Speaker 1: A statistical like anomaly is the only bit you got off.

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Speaker 1: Rich I don't understand how can you get named the

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Speaker 1: top pollster for the national poll when you're a complete

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Speaker 1: fraud Please explain this to me, do you know with because.

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Speaker 5: I always laugh when I hear it at all, fraudy

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Speaker 5: makes the numbers off of it. Do you have any

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Speaker 5: idea how lucky somebody would have to be the odds

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Speaker 5: to get as close as we got this year. And

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Speaker 5: also in several of the key states. In Pennsylvania, Jack,

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Speaker 5: we were Trump fifty point three Harris forty eight, you know,

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Speaker 5: in North Carolina Trump fifty one point one, Harris forty

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Speaker 5: seven point one.

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Speaker 3: I mean, these are decimal points.

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Speaker 1: You gotta by the way, you got to send me

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Speaker 1: those numbers. I want to put that all together to

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Speaker 1: see to see what your final numbers were for each

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Speaker 1: state as well, because I mean.

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Speaker 4: It's like, folks, we have had Rich.

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Speaker 1: We have had Rich on this program at least once

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Speaker 1: a week the entire year round, and you told us

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Speaker 1: from the start what was going on. And I remember

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Speaker 1: even when the Great not to get super into it,

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Speaker 1: but when the Great an Seltzer put her poll out,

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Speaker 1: I could hear Rich Barrison and I called you that

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Speaker 1: night and we had like a forty minute conversation about

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Speaker 1: response bias and all of these other issues and then

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Speaker 1: she goes on Mark alprin and the next morning and

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Speaker 1: she doesn't explain anything regarding her sponse bias, or she's

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Speaker 1: not waiting it based on people who just really want

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Speaker 1: to take her polls or any of this. So Rich,

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Speaker 1: kudos to you man, congratulations, and just just walk us

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Speaker 1: through though a little bit about what makes big data

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Speaker 1: pole different from all of these mainstream poles, and we're

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Speaker 1: going to talk about them in a second as well.

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Speaker 5: You know, one thing, and I think this is the

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Speaker 5: foundation of it all, is that I was not born

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Speaker 5: with a silver spoon in my mouth. My industry is

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Speaker 5: dominated by elitists and want to be elitists.

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Speaker 3: They lean heavily left.

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Speaker 5: And I know the people that I'm talking to, Jack,

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Speaker 5: like I know the country.

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Speaker 3: I know I've been. It's not that I've just traveled.

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Speaker 5: I've been on both sides of the tracks. I guess,

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Speaker 5: you know, it's the bestest place, the best way to

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Speaker 5: state it. And I you know, I don't think anyone

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Speaker 5: in my industry is step foot in a ghetto, right,

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Speaker 5: like an American ghetto. So how would you know what

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Speaker 5: black men and barbershops were saying throughout urban areas around

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Speaker 5: the country.

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Speaker 3: You have to know not only.

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Speaker 5: People, but also historical you know, look, you know the

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Speaker 5: historical nature and ethnicities of this country. And it's like

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Speaker 5: I would ask, I would tell people this, how could

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Speaker 5: you handicap or how could you try to predict the outcome.

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Speaker 3: Of the Super Bowl?

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Speaker 5: If you don't really know any of the players on

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Speaker 5: either of the teams?

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Speaker 3: Right, you don't know anything about them.

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Speaker 5: You don't know about the you know what drives them,

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Speaker 5: what their strengths are with their weaknesses, what their interests are.

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Speaker 3: You don't know anything about them.

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Speaker 5: Maybe you know a little bit about the game, but

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Speaker 5: how could you predict the behavior of people you don't understand?

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Speaker 5: And then you know that is the base, the foundation

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Speaker 5: of it all because when you go to build out

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Speaker 5: your methodology from there, you have to know when you

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Speaker 5: see a response bias, and you have to be honest

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Speaker 5: with yourself whether it's one that Look, all posters have views, right,

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Speaker 5: we pretend like we don't.

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Speaker 3: You have to just cast that aside.

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Speaker 5: Stop insulting the intelligence of the American public and the

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Speaker 5: people who consume polls.

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Speaker 4: They know you either.

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Speaker 5: Lean right or you lean left, tending that you're a

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Speaker 5: robot who's impartial in the middle, You're not, so your

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Speaker 5: methodology has to guard against your own biases. This doesn't

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Speaker 5: happen in this industry. It simply does not, unfortunately, and

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Speaker 5: I wish it did. But with some people at best

440
00:24:15,880 --> 00:24:20,119
Speaker 5: were subjected to that response bias, And I think is worse.

441
00:24:20,560 --> 00:24:23,240
Speaker 5: I think she got a response bias and she allowed

442
00:24:23,240 --> 00:24:26,800
Speaker 5: her own bias to further inflate the result of that poll.

443
00:24:27,160 --> 00:24:29,399
Speaker 5: She goes on Mark Halpern, and she's probably one of

444
00:24:29,440 --> 00:24:33,040
Speaker 5: the worst examples of this. Her explanation, Jack, did not

445
00:24:33,640 --> 00:24:37,160
Speaker 5: actually make sense to the criticisms of the poll. All right,

446
00:24:37,320 --> 00:24:41,200
Speaker 5: this idea she found all these educated young women who

447
00:24:41,280 --> 00:24:44,920
Speaker 5: came out for abortion. Abortion wasn't even the number one

448
00:24:44,960 --> 00:24:47,159
Speaker 5: issue in her poll, Jack, protecting democracy.

449
00:24:47,600 --> 00:24:49,600
Speaker 1: I remember it, Rich, I remember you said, you said

450
00:24:49,600 --> 00:24:51,320
Speaker 1: that night, you tweeted it, and you came on the

451
00:24:51,320 --> 00:24:53,480
Speaker 1: show the next day and said it as well. You said,

452
00:24:53,680 --> 00:24:56,359
Speaker 1: what did she interview the entire line at the local

453
00:24:56,440 --> 00:25:00,240
Speaker 1: Starbucks or something? This is not this is this is

454
00:25:00,280 --> 00:25:03,639
Speaker 1: not reflective of where people in the mood of the

455
00:25:03,680 --> 00:25:04,360
Speaker 1: country are.

456
00:25:04,440 --> 00:25:05,920
Speaker 4: It's just not reflective.

457
00:25:06,119 --> 00:25:07,920
Speaker 1: And I remember hearing it as well, and I was,

458
00:25:08,119 --> 00:25:10,200
Speaker 1: and I was saying Look, I'm not going to count

459
00:25:10,240 --> 00:25:14,159
Speaker 1: out abortion completely, but the idea that that was going

460
00:25:14,240 --> 00:25:17,639
Speaker 1: to be the sole driving factor in a state like Iowa.

461
00:25:17,840 --> 00:25:20,480
Speaker 1: I remember, we just kept saying, why is it then

462
00:25:20,600 --> 00:25:23,080
Speaker 1: that they haven't deployed Tim Walls to Iowa when.

463
00:25:22,920 --> 00:25:26,920
Speaker 4: He's the governor of the next states. His state borders Ioway.

464
00:25:27,040 --> 00:25:29,720
Speaker 4: There wouldn't he be there, He'd be camped there. It

465
00:25:29,760 --> 00:25:30,800
Speaker 4: doesn't make any sense.

466
00:25:30,840 --> 00:25:35,120
Speaker 5: It ever did, especially since he supposedly had this regional,

467
00:25:35,160 --> 00:25:37,560
Speaker 5: working class, blue collar appeal.

468
00:25:37,880 --> 00:25:39,880
Speaker 3: Well, I isn't right there getting it right.

469
00:25:40,080 --> 00:25:42,400
Speaker 1: And I'm sure Politico is going to write articles about

470
00:25:42,400 --> 00:25:44,280
Speaker 1: it too. They're going to write about his connection with

471
00:25:44,359 --> 00:25:48,080
Speaker 1: the worker class people and veterans and military members. And

472
00:25:48,119 --> 00:25:51,080
Speaker 1: you can go and look at any of his actual

473
00:25:51,160 --> 00:25:53,640
Speaker 1: election data and you would see that that's not how

474
00:25:53,680 --> 00:25:54,480
Speaker 1: he pulls at all.

475
00:25:54,720 --> 00:25:57,480
Speaker 4: He would get the big blue urban centers and that's it.

476
00:25:57,760 --> 00:26:01,240
Speaker 1: He's not connecting with like the Mike Lindell voter, the

477
00:26:01,320 --> 00:26:04,200
Speaker 1: my Pillow employee in Shakopee, Minnesota.

478
00:26:04,280 --> 00:26:07,840
Speaker 4: It's just not there, not even close.

479
00:26:07,960 --> 00:26:10,720
Speaker 5: And this is something we you and I actually talked

480
00:26:10,720 --> 00:26:13,320
Speaker 5: about on your show when she chose him as the nominee.

481
00:26:13,480 --> 00:26:15,720
Speaker 5: If you go and look at who these voters were

482
00:26:15,720 --> 00:26:19,040
Speaker 5: who elected Shapiro versus those who elected Waltz. You know,

483
00:26:19,320 --> 00:26:22,639
Speaker 5: Shapiro got nearly twenty percent of voters who backed Trump

484
00:26:22,680 --> 00:26:24,600
Speaker 5: in twenty twenty. And I'm not saying they would have

485
00:26:24,680 --> 00:26:28,800
Speaker 5: voted for Shapiro because of that. There are Republicans or

486
00:26:28,840 --> 00:26:31,359
Speaker 5: crumpers who who do vote like that if they're not

487
00:26:31,480 --> 00:26:35,080
Speaker 5: like Democrats. But Walt's very different, very typical, very left

488
00:26:35,119 --> 00:26:38,719
Speaker 5: wing Democratic map, relies on the twin city urbs, relies

489
00:26:38,760 --> 00:26:38,960
Speaker 5: on the.

490
00:26:40,640 --> 00:26:41,280
Speaker 3: I wouldn't even.

491
00:26:41,200 --> 00:26:46,200
Speaker 5: Say the word educated, the credential, professional, fanatical class that

492
00:26:46,359 --> 00:26:49,160
Speaker 5: you know, votes on ideology in high numbers. He didn't

493
00:26:49,200 --> 00:26:52,560
Speaker 5: connect with anyone in the Iron range. He didn't connect

494
00:26:52,600 --> 00:26:55,879
Speaker 5: with anyone in Amos outside of Olmsted, in the southeastern

495
00:26:55,920 --> 00:26:58,480
Speaker 5: part of the state. He was a very typical, very

496
00:26:58,520 --> 00:26:59,840
Speaker 5: generic Democratic.

497
00:27:00,359 --> 00:27:00,960
Speaker 3: And that's it.

498
00:27:01,119 --> 00:27:02,720
Speaker 5: And I would just say this too, you know, when

499
00:27:02,760 --> 00:27:05,600
Speaker 5: it comes to that Iowa poll again, I mean, this

500
00:27:05,640 --> 00:27:08,040
Speaker 5: is a culmination of some bad behavior that we had

501
00:27:08,040 --> 00:27:11,199
Speaker 5: seen from Seltzer going on now for a couple of years.

502
00:27:11,520 --> 00:27:14,440
Speaker 5: I mean, Jack, I remember twenty twenty like it was yesterday,

503
00:27:14,720 --> 00:27:17,399
Speaker 5: September live polling on my show.

504
00:27:17,840 --> 00:27:19,200
Speaker 3: It was never tied in the.

505
00:27:19,160 --> 00:27:21,680
Speaker 5: State of Iowa, and yet she had this race tied

506
00:27:21,720 --> 00:27:24,160
Speaker 5: between Biden and Trump, and of course Trump ran away

507
00:27:24,200 --> 00:27:26,639
Speaker 5: with it, this time far far worse.

508
00:27:26,880 --> 00:27:27,760
Speaker 3: Ladies and gentlemen.

509
00:27:28,080 --> 00:27:30,640
Speaker 5: The last couple of weeks, I combined all of our

510
00:27:30,640 --> 00:27:33,760
Speaker 5: responses from Iowa, whether we were doing the rustbel Pole

511
00:27:33,880 --> 00:27:36,840
Speaker 5: or the national poll, and barely waiting Jack just for

512
00:27:36,960 --> 00:27:42,080
Speaker 5: simple gender right, very very lightweighting variables, and it was almost.

513
00:27:41,800 --> 00:27:44,600
Speaker 3: Dead on to Trump's margin. It was almost identical.

514
00:27:44,800 --> 00:27:47,400
Speaker 5: So I don't even believe that she got a response

515
00:27:47,440 --> 00:27:51,240
Speaker 5: bias that dramatic here. I think she got a modest

516
00:27:51,280 --> 00:27:55,240
Speaker 5: one which he then created and turned into what she wanted.

517
00:27:55,400 --> 00:27:57,399
Speaker 3: And this has got to stop with this industry. It's

518
00:27:57,440 --> 00:27:58,440
Speaker 3: got to stop now.

519
00:27:58,760 --> 00:28:00,640
Speaker 5: You know what, if they want to continue, you're doing it.

520
00:28:00,840 --> 00:28:02,840
Speaker 3: They can't because it's just, you.

521
00:28:02,760 --> 00:28:05,000
Speaker 5: Know, bright days ahead for people like Nate.

522
00:28:05,920 --> 00:28:06,280
Speaker 3: That's it.

523
00:28:06,760 --> 00:28:09,600
Speaker 1: And and it's it's just it's something where it's like

524
00:28:10,240 --> 00:28:12,119
Speaker 1: I saw this post yesterday and we talked about on

525
00:28:12,160 --> 00:28:12,800
Speaker 1: the show as well.

526
00:28:12,840 --> 00:28:16,439
Speaker 4: But this this business owner, some guy I didn't know.

527
00:28:16,440 --> 00:28:17,720
Speaker 1: I think it was a tech guy, and he was

528
00:28:17,760 --> 00:28:20,480
Speaker 1: on agaze. He said, I canceled all my mainstream media subscriptions,

529
00:28:20,520 --> 00:28:22,119
Speaker 1: and so why is that? Do you disagree with them?

530
00:28:22,160 --> 00:28:24,639
Speaker 1: And I said, no, Look, my politics haven't changed. But

531
00:28:24,760 --> 00:28:29,720
Speaker 1: these guys are clearly incompetent the biggest political tectonic plate

532
00:28:29,800 --> 00:28:33,920
Speaker 1: shift in his entire lifetime, and they all missed it.

533
00:28:34,160 --> 00:28:37,960
Speaker 1: And this went over into the polls as well. Every

534
00:28:38,040 --> 00:28:40,360
Speaker 1: single one of them missed it. Then they wanted to

535
00:28:40,400 --> 00:28:42,360
Speaker 1: say all along that the race was closed. We'll get

536
00:28:42,360 --> 00:28:44,440
Speaker 1: into that in the next segment here in a second.

537
00:28:44,640 --> 00:28:47,160
Speaker 1: But they all missed what was going on right in

538
00:28:47,160 --> 00:28:49,880
Speaker 1: front of their eyes. And it's their job to know

539
00:28:50,160 --> 00:28:51,680
Speaker 1: what's going on in the country.

540
00:28:52,720 --> 00:28:56,600
Speaker 3: That's the divide. That's part of the divide that we have. Again.

541
00:28:56,680 --> 00:28:58,920
Speaker 5: I don't know how you would expect Nate Cohen at

542
00:28:58,920 --> 00:29:01,080
Speaker 5: the New York Times, just most of his life in

543
00:29:01,120 --> 00:29:04,200
Speaker 5: a New York City cubicle, to understand of the voters

544
00:29:04,200 --> 00:29:06,800
Speaker 5: of Beaver County, Pennsylvania are going to vote all right,

545
00:29:07,000 --> 00:29:09,280
Speaker 5: don't I don't know how we would expect him to

546
00:29:09,400 --> 00:29:13,040
Speaker 5: understand how the Ohio River Valley has shifted in the

547
00:29:13,120 --> 00:29:15,760
Speaker 5: last ten years, or most certainly in the Trump era.

548
00:29:16,000 --> 00:29:18,760
Speaker 5: Why would we expect him to have the confidence in

549
00:29:18,800 --> 00:29:21,360
Speaker 5: the ability to do that because he's got an Ivy

550
00:29:21,440 --> 00:29:24,800
Speaker 5: League education or like that is not what it takes

551
00:29:24,840 --> 00:29:26,600
Speaker 5: to be successful in this industry.

552
00:29:26,960 --> 00:29:28,520
Speaker 3: And unfortunately you do have to.

553
00:29:28,560 --> 00:29:31,720
Speaker 5: I mean, we were always saying this and it's forever true,

554
00:29:32,080 --> 00:29:35,520
Speaker 5: and we haven't said it enough recently that polling is

555
00:29:35,560 --> 00:29:38,360
Speaker 5: of course part science, but it really is part part

556
00:29:38,520 --> 00:29:41,160
Speaker 5: art form. And without what I'm telling you, you know,

557
00:29:41,240 --> 00:29:45,480
Speaker 5: this understanding of the subject matter, and in this case it's.

558
00:29:45,400 --> 00:29:47,360
Speaker 3: People, it's the American people.

559
00:29:47,560 --> 00:29:50,720
Speaker 5: Without an understanding of them, then you cannot do this.

560
00:29:51,000 --> 00:29:54,280
Speaker 5: And frankly, they have a hard time listening to people.

561
00:29:54,480 --> 00:29:56,280
Speaker 5: You know, I like to talk. I'm a jabber jaw.

562
00:29:56,480 --> 00:29:58,480
Speaker 5: But when I'm doing my job, Jack, it's time to

563
00:29:58,520 --> 00:29:59,479
Speaker 5: shut up and listen.

564
00:29:59,720 --> 00:30:00,000
Speaker 7: I don't.

565
00:30:00,000 --> 00:30:01,960
Speaker 5: You may not like what they're telling me, but that's

566
00:30:02,000 --> 00:30:04,720
Speaker 5: not My job. Is to shut up and listen to

567
00:30:04,720 --> 00:30:06,280
Speaker 5: what they have to say. They'll tell you how they're

568
00:30:06,320 --> 00:30:07,320
Speaker 5: going to vote and why.

569
00:30:07,560 --> 00:30:08,280
Speaker 4: Sounds simple.

570
00:30:08,400 --> 00:30:11,520
Speaker 1: It sounds simple, and yet to bridge you far for

571
00:30:11,640 --> 00:30:13,440
Speaker 1: so many incorporate media.

572
00:30:13,480 --> 00:30:17,280
Speaker 4: Stay tuned, going to be back on more with Richard Barris.

573
00:30:16,920 --> 00:30:18,960
Speaker 1: To talk about something that was a little bit of

574
00:30:19,000 --> 00:30:21,440
Speaker 1: a secret, but maybe not so much in the twenty

575
00:30:21,520 --> 00:30:30,200
Speaker 1: twenty four elections.

576
00:30:31,120 --> 00:30:32,520
Speaker 3: Hey Jack, where's Jack?

577
00:30:34,080 --> 00:30:37,840
Speaker 4: Where's Jack? Where is it Jack?

578
00:30:37,920 --> 00:30:38,680
Speaker 6: I want to see you.

579
00:30:41,200 --> 00:30:43,320
Speaker 3: Great job, Jack, Thank you, what.

580
00:30:43,480 --> 00:30:46,000
Speaker 4: A job you do. You know, we have an incredible thing.

581
00:30:46,000 --> 00:30:47,440
Speaker 4: We're always talking about the fake.

582
00:30:47,400 --> 00:30:50,480
Speaker 6: Views and the band, but we have guys, and these.

583
00:30:50,280 --> 00:30:54,200
Speaker 1: Are the guys who are forgetting publishers. Our Jack is

584
00:30:54,520 --> 00:30:56,320
Speaker 1: back live here, Cuman Events Daily.

585
00:30:56,120 --> 00:30:57,440
Speaker 4: Mar A Lago Editions.

586
00:30:58,160 --> 00:31:04,160
Speaker 1: So I had tweeting and reporting on here, on Human

587
00:31:04,160 --> 00:31:08,960
Speaker 1: Events Daily, as well as on X and Truth Social

588
00:31:09,000 --> 00:31:15,280
Speaker 1: and Telegram all year round about Kamala's internal polls, Kamala's

589
00:31:15,320 --> 00:31:19,160
Speaker 1: internal polls. And I kept saying, Kamala's internal polls are

590
00:31:19,360 --> 00:31:22,880
Speaker 1: really bad, and I said, they've never had her up,

591
00:31:23,120 --> 00:31:27,000
Speaker 1: They're never good. Things are going really poorly for her.

592
00:31:27,360 --> 00:31:30,840
Speaker 1: They were even sometimes where members of Congress would get

593
00:31:30,880 --> 00:31:33,840
Speaker 1: caught on on camp. We've got some of those tweets

594
00:31:33,920 --> 00:31:36,560
Speaker 1: right there, just from different parts of the year. We

595
00:31:36,600 --> 00:31:40,280
Speaker 1: were talking about this, and there were even other Democrats

596
00:31:40,320 --> 00:31:43,720
Speaker 1: who came out publicly running for Congress who would say, oh,

597
00:31:43,760 --> 00:31:46,800
Speaker 1: you know, my internals have Kamala really behind. My internals

598
00:31:46,800 --> 00:31:50,920
Speaker 1: are really bad for Kamala. And yet we were told

599
00:31:50,960 --> 00:31:54,120
Speaker 1: by the mainstream media something else. We were told that

600
00:31:54,160 --> 00:31:56,640
Speaker 1: it was a horse race, that she was just ahead,

601
00:31:56,920 --> 00:31:58,480
Speaker 1: or that it was neck and neck, and that it

602
00:31:58,480 --> 00:32:01,360
Speaker 1: was going back and forth. Well, it turns out that

603
00:32:01,520 --> 00:32:06,880
Speaker 1: all of that may have actually been a lie. And

604
00:32:07,000 --> 00:32:08,680
Speaker 1: when I'm going to play this club about to play

605
00:32:08,680 --> 00:32:10,680
Speaker 1: this clip of a guy who was the campaign manager

606
00:32:10,760 --> 00:32:13,680
Speaker 1: for Barack Obama and the senior advisor for Kamala Harris,

607
00:32:14,520 --> 00:32:18,080
Speaker 1: and I want you to take this clip and show

608
00:32:18,120 --> 00:32:21,000
Speaker 1: it to every one of your friends who we all

609
00:32:21,000 --> 00:32:24,120
Speaker 1: have that one friend who's like, the oh, the latest

610
00:32:24,160 --> 00:32:26,400
Speaker 1: poll just came out. I got to read the latest poll.

611
00:32:26,600 --> 00:32:28,600
Speaker 1: I got to read the latest poll. I got to

612
00:32:28,640 --> 00:32:31,280
Speaker 1: read the latest Nate Silver, he's the aggregator.

613
00:32:31,440 --> 00:32:34,040
Speaker 4: He knows what's going on. All right, guys, go ahead

614
00:32:34,040 --> 00:32:36,240
Speaker 4: and play a clip from David Ploff.

615
00:32:36,480 --> 00:32:39,720
Speaker 2: When we got in my recollection. Is some of that snapback.

616
00:32:39,760 --> 00:32:41,840
Speaker 2: But you know we were behind. I mean, I think

617
00:32:41,840 --> 00:32:44,920
Speaker 2: it surprised people because there was these public polls that

618
00:32:45,000 --> 00:32:48,360
Speaker 2: came out in late September early October showing us with

619
00:32:48,480 --> 00:32:50,640
Speaker 2: leads that we never saw, you know, I mean, it

620
00:32:50,720 --> 00:32:53,200
Speaker 2: was just basically a race that in the battlegrounds was

621
00:32:53,560 --> 00:32:56,240
Speaker 2: forty six, forty seven, forty seven forty eight. So that's

622
00:32:56,240 --> 00:32:58,320
Speaker 2: not where we started. We started behind.

623
00:32:59,120 --> 00:33:00,000
Speaker 4: She was able to climb.

624
00:33:00,040 --> 00:33:02,400
Speaker 2: I'm out. I think even after the debate we might

625
00:33:02,440 --> 00:33:05,080
Speaker 2: have gained what point five to one. It wasn't a

626
00:33:05,200 --> 00:33:08,200
Speaker 2: race that moved a lot. And so I think when

627
00:33:08,200 --> 00:33:10,959
Speaker 2: you think about our own internal analytics, you know, if

628
00:33:11,000 --> 00:33:14,880
Speaker 2: you have a Wisconsin at forty seven forty seven or

629
00:33:14,960 --> 00:33:18,000
Speaker 2: Pennsylvania forty eight forty seven Trump, let's say, which I

630
00:33:18,000 --> 00:33:20,200
Speaker 2: think is where we had it at the end, you know,

631
00:33:20,280 --> 00:33:22,280
Speaker 2: you've got to have un decided to break your way

632
00:33:22,280 --> 00:33:24,440
Speaker 2: more than your opponents, and you've got to get a

633
00:33:24,440 --> 00:33:26,800
Speaker 2: little benefit from turnout, which we weren't able to do.

634
00:33:28,360 --> 00:33:31,240
Speaker 4: Rich Barris, what' Savid Plough saying right there?

635
00:33:32,200 --> 00:33:34,760
Speaker 5: What he's saying is everything that you were told is

636
00:33:34,800 --> 00:33:35,360
Speaker 5: a lie.

637
00:33:35,680 --> 00:33:36,920
Speaker 3: That's what he's saying.

638
00:33:37,080 --> 00:33:39,640
Speaker 5: All of the polling, all of the headlines, all of

639
00:33:39,680 --> 00:33:43,520
Speaker 5: the Kamala surge headlines, all the Kamala Surge narratives were

640
00:33:43,560 --> 00:33:48,640
Speaker 5: an absolute fabrication of bad media polsters or media pollsters

641
00:33:48,800 --> 00:33:52,040
Speaker 5: who were fabricating leads that she did not have. But

642
00:33:52,160 --> 00:33:56,240
Speaker 5: here's why it's so this is there's levels of disingenuous

643
00:33:56,240 --> 00:34:01,040
Speaker 5: this year. Okay, David Pluff after especially, but he was

644
00:34:01,040 --> 00:34:03,680
Speaker 5: in the final stretch a voice who kept telling an

645
00:34:03,800 --> 00:34:06,720
Speaker 5: NBC and everybody ran with us, a voice who kept

646
00:34:06,760 --> 00:34:10,160
Speaker 5: saying that our internal data shows that the late deciders

647
00:34:10,160 --> 00:34:12,399
Speaker 5: are breaking for Kamala and it's given us the lead,

648
00:34:12,440 --> 00:34:14,400
Speaker 5: and we're going into this thing, you know, with the

649
00:34:14,440 --> 00:34:19,359
Speaker 5: momentum and we're finishing strong Jack. They never asked him

650
00:34:19,400 --> 00:34:22,000
Speaker 5: for a data set, they never asked him for proof, and.

651
00:34:21,920 --> 00:34:25,200
Speaker 3: They just ran those stories. Mark halperm was then attacked

652
00:34:25,239 --> 00:34:26,040
Speaker 3: for saying.

653
00:34:25,960 --> 00:34:29,400
Speaker 5: Where's the proof, because what I'm hearing is the exact

654
00:34:29,400 --> 00:34:32,120
Speaker 5: opposite our final national poll that was so active.

655
00:34:32,120 --> 00:34:34,200
Speaker 4: Wait no, wait, this is the same guy.

656
00:34:34,480 --> 00:34:37,240
Speaker 1: Wait wait no, Rich, it wasn't just remember it wasn't

657
00:34:37,360 --> 00:34:40,560
Speaker 1: just the data set. He was claiming that late breaking

658
00:34:40,680 --> 00:34:44,960
Speaker 1: voters were voting for Kamala Harris because of kill Tony

659
00:34:45,239 --> 00:34:48,720
Speaker 1: and the Puerto Rican joke at Madison Square Garden. Because

660
00:34:48,719 --> 00:34:51,040
Speaker 1: I talked to Halperin about this and it was just like,

661
00:34:51,560 --> 00:34:53,520
Speaker 1: how would you possibly.

662
00:34:53,000 --> 00:34:54,160
Speaker 2: Have data on that.

663
00:34:54,800 --> 00:34:58,400
Speaker 1: Who's got that level of data in the entire universe

664
00:34:58,480 --> 00:35:01,839
Speaker 1: of anywhere, and yet all of these people who your

665
00:35:01,920 --> 00:35:05,120
Speaker 1: favorite guy, Nate Silver, you have a slightly different name

666
00:35:05,160 --> 00:35:05,520
Speaker 1: for him.

667
00:35:05,640 --> 00:35:08,640
Speaker 4: I believe they were just and Nate Cohen and the others.

668
00:35:08,760 --> 00:35:09,920
Speaker 4: They were all running with it.

669
00:35:10,920 --> 00:35:15,680
Speaker 3: Nate Slimer was literally a creation of David Pluff.

670
00:35:15,840 --> 00:35:19,279
Speaker 5: David Pluff gave him Obama's polling data, which he then

671
00:35:19,400 --> 00:35:21,360
Speaker 5: pretended was an election model.

672
00:35:21,560 --> 00:35:25,040
Speaker 3: This is an open secret. Everybody knows this is true.

673
00:35:25,120 --> 00:35:28,520
Speaker 5: He was blogging under his little pen name and pretending

674
00:35:28,560 --> 00:35:31,319
Speaker 5: as if he was some kind of polling guru. It

675
00:35:31,480 --> 00:35:34,640
Speaker 5: was all just David Pluff giving him numbers.

676
00:35:34,440 --> 00:35:36,759
Speaker 3: That he just trusted. He had nothing to.

677
00:35:36,760 --> 00:35:40,479
Speaker 5: Lose anyway, because he's a failed sports handicapper who had

678
00:35:40,520 --> 00:35:43,600
Speaker 5: no job, so he really had nothing else to do

679
00:35:43,880 --> 00:35:47,759
Speaker 5: but pretend to be a polling guru and an election forecaster.

680
00:35:48,120 --> 00:35:51,440
Speaker 5: And David Pluff and him were tight buddies, so there's

681
00:35:51,520 --> 00:35:54,920
Speaker 5: no way. And think about the article he wrote about

682
00:35:55,000 --> 00:35:59,799
Speaker 5: internal polls attacking Mark Alpern. Internal polls aren't necessarily as

683
00:35:59,840 --> 00:36:02,680
Speaker 5: good as public polls. You remember that article he wrote,

684
00:36:02,719 --> 00:36:04,080
Speaker 5: or it's not even an article.

685
00:36:03,760 --> 00:36:05,360
Speaker 3: It's on his dot net blog.

686
00:36:05,680 --> 00:36:08,960
Speaker 5: Do you remember that leading to a narrative that basically

687
00:36:09,080 --> 00:36:11,560
Speaker 5: Mark Halpern's making this, making this up.

688
00:36:11,640 --> 00:36:12,920
Speaker 3: It's a you know, which.

689
00:36:12,760 --> 00:36:15,400
Speaker 1: Makes no sense because it was, by the way, internal polls.

690
00:36:15,760 --> 00:36:18,360
Speaker 4: So okay, what I was just saying before about.

691
00:36:18,280 --> 00:36:23,359
Speaker 3: Is the internal polls. I got them, Jack, I gave

692
00:36:23,400 --> 00:36:23,960
Speaker 3: them to you.

693
00:36:24,120 --> 00:36:27,040
Speaker 5: Sometimes I would say, hey, look here's Kamala.

694
00:36:26,719 --> 00:36:28,040
Speaker 4: Harris your bill secrets.

695
00:36:28,080 --> 00:36:32,640
Speaker 1: Now that this has happened, there have been times where

696
00:36:33,000 --> 00:36:35,439
Speaker 1: where yeah, Rich has gotten the internals and he's told

697
00:36:35,480 --> 00:36:38,320
Speaker 1: me what he's seeing, and it does not match anything

698
00:36:38,360 --> 00:36:40,799
Speaker 1: I'm seeing in media anywhere anywhere.

699
00:36:40,840 --> 00:36:42,880
Speaker 5: Steve Gruper and I one day are talking and we

700
00:36:42,920 --> 00:36:45,200
Speaker 5: talked about this publicly. He doesn't care like we're looking

701
00:36:45,239 --> 00:36:46,400
Speaker 5: at her Michigan poles.

702
00:36:46,400 --> 00:36:47,720
Speaker 3: She's down in Michigan.

703
00:36:47,840 --> 00:36:50,400
Speaker 5: And yet there are all these articles from Nate Silver

704
00:36:50,520 --> 00:36:52,839
Speaker 5: and others talking about how difficult it's going to be

705
00:36:52,840 --> 00:36:55,240
Speaker 5: for Trump to really carry these great lead states.

706
00:36:55,239 --> 00:36:57,799
Speaker 3: It's incredible because if I saw it, the.

707
00:36:57,760 --> 00:37:01,480
Speaker 5: People's pundit, who everyone views on that side as someone

708
00:37:01,520 --> 00:37:03,359
Speaker 5: that uh, you know, that that really can't be let

709
00:37:03,400 --> 00:37:06,319
Speaker 5: into their little circle because I'll tell their secrets. If

710
00:37:06,400 --> 00:37:09,520
Speaker 5: I got it, believe me, then Nates got it.

711
00:37:09,680 --> 00:37:12,480
Speaker 3: And yet they went forward with those narratives anyway.

712
00:37:12,800 --> 00:37:16,359
Speaker 5: So that isn't getting it wrong, Jack, Do you understand that,

713
00:37:16,360 --> 00:37:18,279
Speaker 5: that's not getting it wrong, that's not.

714
00:37:18,200 --> 00:37:19,000
Speaker 3: Having a mistake.

715
00:37:19,320 --> 00:37:24,839
Speaker 5: That's intentionally misleading people, intentionally misleading people. And by the way,

716
00:37:24,920 --> 00:37:28,239
Speaker 5: that time would Gruber, I mean he conducted a.

717
00:37:28,160 --> 00:37:29,400
Speaker 3: Pole himself in Michigan.

718
00:37:29,640 --> 00:37:33,239
Speaker 5: All three poles had Harris down and Morning Consult had

719
00:37:33,239 --> 00:37:36,200
Speaker 5: Harris up by eleven, remember that eleven?

720
00:37:36,400 --> 00:37:39,200
Speaker 3: Yeah, come on and come on, give me a break.

721
00:37:39,800 --> 00:37:41,960
Speaker 1: And this is this is my message. And I got

722
00:37:41,960 --> 00:37:44,279
Speaker 1: friends who are like this. They'll say, they're like, I

723
00:37:44,320 --> 00:37:46,400
Speaker 1: want to believe the New York Times. I want to

724
00:37:46,440 --> 00:37:48,799
Speaker 1: believe the Nate Silvers because they want to believe in

725
00:37:48,880 --> 00:37:52,560
Speaker 1: this in this world where anything you can go, they

726
00:37:52,640 --> 00:37:54,879
Speaker 1: believe in the written word. They believe that. They want

727
00:37:54,880 --> 00:37:56,839
Speaker 1: to be informed, they want to get things right. And

728
00:37:56,880 --> 00:37:59,480
Speaker 1: it's like, guys, even if you did have trust in

729
00:37:59,520 --> 00:38:04,520
Speaker 1: these instants, they're just wrong. They're just wrong, and they

730
00:38:04,840 --> 00:38:08,759
Speaker 1: know they're wrong, and they're working because they're hoping they

731
00:38:08,760 --> 00:38:11,280
Speaker 1: could maybe get some kind of access in the future,

732
00:38:11,400 --> 00:38:13,799
Speaker 1: or they have their own internal biases or all of

733
00:38:13,840 --> 00:38:16,040
Speaker 1: these various things that are going on, but they're just

734
00:38:16,120 --> 00:38:21,040
Speaker 1: flat wrong. And this time around whatever COVID nonsense that

735
00:38:21,080 --> 00:38:24,080
Speaker 1: they were able to use to put their finger on

736
00:38:24,239 --> 00:38:28,360
Speaker 1: the scale in twenty twenty didn't exist, and so instead

737
00:38:28,640 --> 00:38:31,440
Speaker 1: you got an accurate reflection of the voice of the

738
00:38:31,440 --> 00:38:35,040
Speaker 1: people on election day. And when that happened, Oh, look,

739
00:38:35,400 --> 00:38:37,520
Speaker 1: everything that they were saying was wrong. And Rich, this

740
00:38:37,560 --> 00:38:39,359
Speaker 1: is what they don't get is that you and I

741
00:38:39,760 --> 00:38:43,440
Speaker 1: were not trying to sit here and wish cast what

742
00:38:43,480 --> 00:38:45,960
Speaker 1: we thought was going on around the country. We were

743
00:38:46,040 --> 00:38:49,640
Speaker 1: actually analyzing what was going on around the country.

744
00:38:50,280 --> 00:38:53,720
Speaker 5: We've been doing this since some of the real key

745
00:38:54,520 --> 00:38:57,960
Speaker 5: points of this election. Highlights the stories, the headlines of

746
00:38:57,960 --> 00:38:59,879
Speaker 5: this election. You and I have been talking about since

747
00:39:00,120 --> 00:39:03,680
Speaker 5: for the primary. We identified the Trumper bus voter. I

748
00:39:03,719 --> 00:39:05,319
Speaker 5: came on your show. We talked about it.

749
00:39:05,280 --> 00:39:05,759
Speaker 3: All the time.

750
00:39:05,800 --> 00:39:09,120
Speaker 5: The swing with young people Trump is making. It's like

751
00:39:09,160 --> 00:39:10,919
Speaker 5: cool to be a Trump supporter if you're young.

752
00:39:11,000 --> 00:39:12,360
Speaker 3: He's making the Republican Party.

753
00:39:12,400 --> 00:39:14,040
Speaker 1: Wait, and by the way, Rich, did you see the

754
00:39:14,120 --> 00:39:16,640
Speaker 1: new I know you're not a I got to say

755
00:39:16,640 --> 00:39:17,960
Speaker 1: it before we get off, but I know you're not

756
00:39:18,000 --> 00:39:21,680
Speaker 1: a huge exit pole guy. But the CNN exit pole

757
00:39:21,719 --> 00:39:27,719
Speaker 1: that just dropped Pennsylvania first time voters Trump plus nine.

758
00:39:28,880 --> 00:39:32,440
Speaker 3: You're welcome Trus nine with.

759
00:39:32,600 --> 00:39:35,719
Speaker 1: First time voters in Pennsylvania. Why don't we tell you

760
00:39:35,760 --> 00:39:39,440
Speaker 1: about low prop voters and no pro Rich Barrus is

761
00:39:39,480 --> 00:39:42,960
Speaker 1: the guy who came up with the phrase no prop voter,

762
00:39:43,280 --> 00:39:46,240
Speaker 1: A no prop voter someone who has never voted before

763
00:39:46,400 --> 00:39:49,279
Speaker 1: despite being eligible for multiple cycles. He was like, the

764
00:39:49,320 --> 00:39:52,520
Speaker 1: no prop voters in Pennsylvania are going to go for Trump.

765
00:39:52,680 --> 00:39:54,960
Speaker 1: And that's why we did the pachase the way we did,

766
00:39:55,120 --> 00:39:59,160
Speaker 1: and Scott Presler and everybody tailored their outreach the way

767
00:39:59,160 --> 00:40:01,799
Speaker 1: that it was, and Trump Force forty seven tailored it

768
00:40:01,880 --> 00:40:06,240
Speaker 1: to reach these guys because we identified that someone who

769
00:40:06,400 --> 00:40:08,800
Speaker 1: for a variety of reasons, right, for a variety of reasons,

770
00:40:08,840 --> 00:40:10,960
Speaker 1: but these guys were Trump's biggest pool.

771
00:40:11,160 --> 00:40:13,240
Speaker 4: Last minute to you, Richard Barris.

772
00:40:13,200 --> 00:40:15,560
Speaker 5: I just want to bring up too that the media.

773
00:40:15,360 --> 00:40:16,759
Speaker 3: Smeared those efforts.

774
00:40:16,840 --> 00:40:19,640
Speaker 5: Right. You had Pressler, ten x votes Trump for us.

775
00:40:19,800 --> 00:40:22,160
Speaker 3: All of them had the strategy to go after those.

776
00:40:22,080 --> 00:40:25,200
Speaker 4: Voters in turning pipper, turning action, turning point.

777
00:40:25,000 --> 00:40:25,959
Speaker 3: And turning point action.

778
00:40:26,200 --> 00:40:28,520
Speaker 5: And I'm telling you, when we first started talking about

779
00:40:28,520 --> 00:40:31,200
Speaker 5: this over a year ago, I mean everybody pretty much

780
00:40:31,280 --> 00:40:33,440
Speaker 5: laughs at the concept of getting these people.

781
00:40:33,160 --> 00:40:35,399
Speaker 3: To vote because they are so difficult to turn out.

782
00:40:35,600 --> 00:40:37,480
Speaker 3: But I will see this. They missed something, and it's

783
00:40:37,520 --> 00:40:39,840
Speaker 3: research that we did. Donald Trump.

784
00:40:40,320 --> 00:40:44,479
Speaker 5: The one person they repeatedly told us could motivate them

785
00:40:45,080 --> 00:40:47,560
Speaker 5: was Donald Trump. I mean, it all just came together

786
00:40:47,640 --> 00:40:50,279
Speaker 5: and they all missed it. And it's unbelievable because it

787
00:40:50,280 --> 00:40:52,120
Speaker 5: was all there was right in front of them the

788
00:40:52,120 --> 00:40:52,560
Speaker 5: whole time.

789
00:40:52,640 --> 00:40:56,480
Speaker 4: Jack, it was all there. Give them a follow folks,

790
00:40:56,560 --> 00:40:58,000
Speaker 4: Richard Barris, the People's.

791
00:40:57,640 --> 00:41:03,240
Speaker 1: Pundit, the number one polster in America.

792
00:41:04,200 --> 00:41:07,120
Speaker 4: Jack is a great guy. He's written that fantastic book.

793
00:41:07,200 --> 00:41:08,400
Speaker 4: Everybody's talking about it.

794
00:41:08,480 --> 00:41:11,040
Speaker 3: You'll get it that. He's been my friend life.

795
00:41:10,880 --> 00:41:13,080
Speaker 4: From the beginning of this whole yearful event.

796
00:41:13,680 --> 00:41:20,839
Speaker 1: And we're going to turn around in my countrymen, all right,

797
00:41:20,880 --> 00:41:24,040
Speaker 1: Jack Pisobik back live here Human Events Daily.

798
00:41:24,160 --> 00:41:24,399
Speaker 9: Now.

799
00:41:24,520 --> 00:41:27,880
Speaker 4: I've mentioned that I was going to be going to uh.

800
00:41:28,960 --> 00:41:34,600
Speaker 1: Chris, excuse me, Thanksgiving here in Pennsylvania. And there was

801
00:41:34,640 --> 00:41:38,000
Speaker 1: a story that came out of Montgomery County, Pennsylvania, earlier

802
00:41:38,040 --> 00:41:41,400
Speaker 1: this year, and it's an ongoing situation, particularly in an

803
00:41:41,440 --> 00:41:44,200
Speaker 1: area called Concha Hocken, which is I mean right next

804
00:41:44,200 --> 00:41:48,680
Speaker 1: to my hometown in Narristown where people have now that

805
00:41:48,840 --> 00:41:53,080
Speaker 1: auto thieves have had an influx of going into cars

806
00:41:53,360 --> 00:41:57,239
Speaker 1: using the push to start feature by actually cloning their

807
00:41:57,320 --> 00:42:00,799
Speaker 1: key fobs, And someone who's an absolute expert on this

808
00:42:01,000 --> 00:42:03,560
Speaker 1: and as well as ways to fight it is Aaron's

809
00:42:03,600 --> 00:42:07,799
Speaker 1: are of silent, he joins us. Now, Aaron, what can

810
00:42:07,880 --> 00:42:12,120
Speaker 1: you tell us about this this raff of car theft

811
00:42:12,120 --> 00:42:14,600
Speaker 1: and auto theft that's going on because of the cloning

812
00:42:14,640 --> 00:42:15,400
Speaker 1: of keyfobs.

813
00:42:18,160 --> 00:42:20,680
Speaker 12: It's been a known epidemic, at least in my world

814
00:42:20,719 --> 00:42:25,600
Speaker 12: for many many years. Electronic theft is the new crowbar,

815
00:42:26,160 --> 00:42:31,600
Speaker 12: and no longer is your arguably your most valuable asset

816
00:42:31,640 --> 00:42:35,360
Speaker 12: outside of your home safe. So by utilizing a simple

817
00:42:35,360 --> 00:42:38,440
Speaker 12: signal blocking fara day bag, you could protect that. But

818
00:42:38,480 --> 00:42:40,320
Speaker 12: it's a really big issue and it kind of rears

819
00:42:40,360 --> 00:42:43,520
Speaker 12: its head every so often. Clearly, what you mentioned on

820
00:42:43,680 --> 00:42:48,719
Speaker 12: the news report is highlighting a significant issue that.

821
00:42:48,719 --> 00:42:49,600
Speaker 4: Bubbled to the top.

822
00:42:49,960 --> 00:42:52,960
Speaker 12: But as far as law enforcements concerned, this is happening

823
00:42:53,000 --> 00:42:57,960
Speaker 12: every single day and it's an easy way to get

824
00:42:58,040 --> 00:43:02,080
Speaker 12: your most valuable asset stolen. So protect your keyfob. It's

825
00:43:02,080 --> 00:43:04,719
Speaker 12: as simple as that signal blocking. I'll preach it till

826
00:43:04,719 --> 00:43:07,520
Speaker 12: I'm dead, and we have a beautiful product for that.

827
00:43:09,080 --> 00:43:11,440
Speaker 12: This is a bigger one for a phone, but all

828
00:43:11,480 --> 00:43:14,760
Speaker 12: of our products patented closure. Drop in your keyfob, your phone,

829
00:43:14,800 --> 00:43:17,880
Speaker 12: your laptop, whatever it may be, and it basically interrupts

830
00:43:17,920 --> 00:43:21,560
Speaker 12: that signal to and from your car.

831
00:43:24,440 --> 00:43:26,480
Speaker 1: And so yeah, Actually, even in the article they talk

832
00:43:26,520 --> 00:43:30,080
Speaker 1: about how number one, first of all, it says the

833
00:43:30,120 --> 00:43:32,080
Speaker 1: police are giving out steering wheel locks.

834
00:43:32,080 --> 00:43:33,680
Speaker 4: So it's like, oh, great, you want.

835
00:43:33,480 --> 00:43:35,959
Speaker 1: To go back and use the old steering wheel locks

836
00:43:36,000 --> 00:43:38,200
Speaker 1: like we used to in the nineteen nineties. Ridiculous, So

837
00:43:38,200 --> 00:43:40,000
Speaker 1: I want to go back to that. To have to

838
00:43:40,040 --> 00:43:41,600
Speaker 1: go back to that with all the tech that we.

839
00:43:41,560 --> 00:43:42,320
Speaker 4: Have right now.

840
00:43:42,640 --> 00:43:46,680
Speaker 1: But I think an actual more elegant solution and one

841
00:43:46,719 --> 00:43:49,200
Speaker 1: that isn't you know, it's just not an iceore when

842
00:43:49,200 --> 00:43:50,960
Speaker 1: you sit there and have to put that on your

843
00:43:50,960 --> 00:43:53,640
Speaker 1: car every time. It's you can have and a lot

844
00:43:53,640 --> 00:43:55,880
Speaker 1: of these Faraday cases and sleeves that you guys have.

845
00:43:56,200 --> 00:43:58,359
Speaker 1: It's something you can put in your pocket. You could

846
00:43:58,360 --> 00:44:00,920
Speaker 1: throw it in your bag or some times your entire

847
00:44:00,960 --> 00:44:01,640
Speaker 1: bag itself.

848
00:44:01,680 --> 00:44:04,160
Speaker 4: That's probably the easiest option is that you've.

849
00:44:03,920 --> 00:44:06,640
Speaker 1: Got a backpack, put it in the backpack, boom, you

850
00:44:06,680 --> 00:44:08,080
Speaker 1: don't have to worry about it anymore.

851
00:44:10,560 --> 00:44:12,799
Speaker 12: Yeah, it's you know, and like you're I think you're

852
00:44:12,800 --> 00:44:15,560
Speaker 12: referring to the club, like the I'm visualizing, like the

853
00:44:15,680 --> 00:44:17,959
Speaker 12: yellows yea club.

854
00:44:18,080 --> 00:44:18,840
Speaker 4: I remember the club.

855
00:44:19,160 --> 00:44:22,880
Speaker 12: And while that may be relevant today, Like the beautiful

856
00:44:22,880 --> 00:44:26,240
Speaker 12: thing about silent products is they're very simple, they're they're physical,

857
00:44:26,320 --> 00:44:29,320
Speaker 12: they're easy to understand, and it serves as a barrier

858
00:44:29,800 --> 00:44:34,200
Speaker 12: to your privacy and security. We're all feeling this, you know,

859
00:44:34,360 --> 00:44:38,279
Speaker 12: like it's it's underneath the surface and when when we

860
00:44:38,320 --> 00:44:42,160
Speaker 12: start to feel pain, we typically take action. But what

861
00:44:42,239 --> 00:44:45,399
Speaker 12: we're all about is is getting ahead of it and

862
00:44:45,480 --> 00:44:47,800
Speaker 12: having a bit of foresight into the world we actually

863
00:44:47,840 --> 00:44:50,960
Speaker 12: live in. How thieves are here to manipulate and steal

864
00:44:51,320 --> 00:44:55,560
Speaker 12: and be opportunists. Opportunistic for you know, car theft just

865
00:44:55,600 --> 00:44:58,719
Speaker 12: in itself is a big issue. So we make a

866
00:44:58,760 --> 00:45:03,840
Speaker 12: really sleek, small carriable in your purse, in your pocket,

867
00:45:04,040 --> 00:45:05,840
Speaker 12: leave it in your car. And there's a lot of

868
00:45:05,880 --> 00:45:09,359
Speaker 12: use cases around what is called relay attacks where they're

869
00:45:09,400 --> 00:45:14,000
Speaker 12: just mimicking the frequency of your key fob, like as

870
00:45:14,000 --> 00:45:17,480
Speaker 12: if it's next to your car. Another thing, like a

871
00:45:17,520 --> 00:45:20,799
Speaker 12: simple tip is just to lock your car manually rather

872
00:45:20,840 --> 00:45:24,799
Speaker 12: than you know, pressing the key fob in public in

873
00:45:24,800 --> 00:45:28,400
Speaker 12: case someone's there to capture it in real time. But

874
00:45:28,640 --> 00:45:30,359
Speaker 12: that's just the tip of the iceberg. Like if if,

875
00:45:31,200 --> 00:45:33,680
Speaker 12: if you adopt that, you're you're one step ahead already.

876
00:45:33,800 --> 00:45:37,320
Speaker 12: So someone somehow, you think, like what about myself?

877
00:45:37,360 --> 00:45:37,680
Speaker 4: Someone?

878
00:45:38,000 --> 00:45:40,840
Speaker 1: What about my someone could do this with your keyfob

879
00:45:41,000 --> 00:45:43,480
Speaker 1: if you're just sitting there, if they're standing next to

880
00:45:43,560 --> 00:45:45,520
Speaker 1: you and you're not even at your car, so they

881
00:45:45,560 --> 00:45:47,680
Speaker 1: can get it from the frequency itself, So they could

882
00:45:47,680 --> 00:45:49,720
Speaker 1: be I don't know, sitting in their car for example.

883
00:45:51,680 --> 00:45:54,000
Speaker 12: Absolutely, And like I know it's some of these cases

884
00:45:54,000 --> 00:45:55,560
Speaker 12: that are like highlighted on the news or in like

885
00:45:55,600 --> 00:45:58,640
Speaker 12: parking lots or airports. But the one to really think

886
00:45:58,680 --> 00:46:00,560
Speaker 12: about it is like at your home, if you're leaving

887
00:46:00,600 --> 00:46:04,320
Speaker 12: your keyfob near your front door, it's still in constant

888
00:46:04,320 --> 00:46:07,600
Speaker 12: communication with your car. It doesn't stop. That's just the

889
00:46:07,600 --> 00:46:11,480
Speaker 12: way things work these days. So by utilizing a keyfab

890
00:46:11,520 --> 00:46:15,200
Speaker 12: bag and a silent one, you're interrupting that signal. So

891
00:46:15,239 --> 00:46:16,640
Speaker 12: no one's going to be able to access your car

892
00:46:16,760 --> 00:46:21,120
Speaker 12: unless they're breaking windows and doing it the old school way.

893
00:46:21,520 --> 00:46:23,919
Speaker 4: That's crazy, So I know, of course you know here

894
00:46:23,960 --> 00:46:25,359
Speaker 4: we are. I I got to ask.

895
00:46:25,400 --> 00:46:27,640
Speaker 1: By the way, so just a couple of minutes left,

896
00:46:27,680 --> 00:46:30,440
Speaker 1: Thanksgiving is coming up, and that of course means Black

897
00:46:30,480 --> 00:46:32,360
Speaker 1: Friday is coming up, so you got to tell me,

898
00:46:32,360 --> 00:46:33,680
Speaker 1: you got to give it to me. Do you got

899
00:46:33,719 --> 00:46:35,719
Speaker 1: any deals? You got any Black Friday? You got any

900
00:46:35,719 --> 00:46:39,960
Speaker 1: Cyber Monday? What's going on? We got it all.

901
00:46:40,000 --> 00:46:42,479
Speaker 12: We have Deals of the Day sl and T dot com.

902
00:46:42,480 --> 00:46:45,120
Speaker 12: We have up to fifty percent off all of our products,

903
00:46:45,160 --> 00:46:48,359
Speaker 12: so it's really an awesome time to save and stock up.

904
00:46:48,400 --> 00:46:50,279
Speaker 12: If you've been looking at some of our backpacks, our

905
00:46:50,360 --> 00:46:54,440
Speaker 12: laptop sleeves, or our phone sleeves or keyfobs. We have

906
00:46:54,560 --> 00:46:58,520
Speaker 12: over one hundred different products and we discounted them pretty significantly,

907
00:46:58,600 --> 00:47:02,680
Speaker 12: so we could, you know, transfer a useful tool that

908
00:47:02,880 --> 00:47:05,000
Speaker 12: people could actually use in their life to have more

909
00:47:05,000 --> 00:47:07,200
Speaker 12: peace of mind. And that's what it's really all about.

910
00:47:07,560 --> 00:47:12,520
Speaker 12: So yeah, SLNT dot com and you can find something

911
00:47:12,520 --> 00:47:15,680
Speaker 12: that's perfect for you or perfect for a gift for

912
00:47:15,719 --> 00:47:18,960
Speaker 12: a loved one. The deal to day to Day is

913
00:47:18,960 --> 00:47:23,799
Speaker 12: our waterproof Faraday backpack with insert. It's really cool, waterproof,

914
00:47:23,920 --> 00:47:27,960
Speaker 12: signal proof, take it anywhere, feel like James Bond, our

915
00:47:28,000 --> 00:47:32,080
Speaker 12: products enhance the human experience, especially when we live in

916
00:47:32,120 --> 00:47:34,200
Speaker 12: this digital realm that we are now.

917
00:47:35,680 --> 00:47:38,919
Speaker 1: Producer Russ here on the program, who does so much

918
00:47:38,960 --> 00:47:41,520
Speaker 1: for the show. You know, he loves his backpack. He's

919
00:47:41,600 --> 00:47:44,279
Speaker 1: always using it. And they look great, by the way,

920
00:47:44,280 --> 00:47:46,120
Speaker 1: they look absolutely great. It's very sleek.

921
00:47:46,200 --> 00:47:48,480
Speaker 4: It's got that black, that black finish.

922
00:47:48,520 --> 00:47:50,719
Speaker 1: You wouldn't you wouldn't know that it's a Faraday pack

923
00:47:50,840 --> 00:47:53,239
Speaker 1: or anything like that, because you know it just it

924
00:47:53,400 --> 00:47:56,280
Speaker 1: just looks really cool. So check it out, folks, slnt

925
00:47:56,480 --> 00:47:59,680
Speaker 1: dot com, slash post so Aaron where people go to

926
00:47:59,680 --> 00:48:01,720
Speaker 1: follow you directly to get more info.

927
00:48:03,560 --> 00:48:06,839
Speaker 12: I'm a bit of a mystery online. But you could

928
00:48:06,880 --> 00:48:09,719
Speaker 12: go to our Twitter at g O s l and

929
00:48:09,760 --> 00:48:13,680
Speaker 12: T or Instagram at go s l and t. And

930
00:48:14,120 --> 00:48:15,840
Speaker 12: you want to talk to me directly, DM me.

931
00:48:17,360 --> 00:48:19,600
Speaker 4: And all right, go go silent.

932
00:48:19,840 --> 00:48:23,000
Speaker 1: Happy Thanksgiving man, and thanks so much for coming on

933
00:48:23,400 --> 00:48:26,360
Speaker 1: now real quick, you know, folks, today is of course

934
00:48:26,520 --> 00:48:30,400
Speaker 1: the birthday of the great Stephen K. Bannon himself, and

935
00:48:30,480 --> 00:48:33,239
Speaker 1: so I wanted to play a quick clip saying thank

936
00:48:33,280 --> 00:48:38,520
Speaker 1: you to Steve. The reality we know and this is

937
00:48:38,560 --> 00:48:41,239
Speaker 1: my rant last night that thinks got over two million hits.

938
00:48:41,360 --> 00:48:43,840
Speaker 3: Is that the early when you talk.

939
00:48:43,719 --> 00:48:46,880
Speaker 5: About the physicality of the early vote, the materiality of

940
00:48:46,960 --> 00:48:50,680
Speaker 5: the early vote, we're in so much better position than

941
00:48:50,719 --> 00:48:55,440
Speaker 5: I thought we'd be in. I thought, my belief was

942
00:48:55,760 --> 00:49:00,920
Speaker 5: that on this Sunday of the mass mobilization weekend, two