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Speaker 1: Welcome to the program. No victocrats allowed, because we've got

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Speaker 1: a country to say, so let's get her teed up.

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Speaker 2: With the subdig You can't succeed.

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Speaker 1: With olt triple eight ninety seven one s A G

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Speaker 1: E Triple eight nine seven one seven two four three.

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Speaker 1: I am Larry Elder. We are Salem News Channel. In

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Speaker 1: the first hour, at bottom of this hour, we're gonna

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Speaker 1: talk to an expert on California elections. He actually worked

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Speaker 1: in my campaign when I ran for a governor. We're

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Speaker 1: gonna talk to him about how and why the vote

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Speaker 1: accounted the way they are. Spencer Pratt is now in

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Speaker 1: third place in the race for La Mayor, with an

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Speaker 1: estimated twenty percent of the vote's left account. I say

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Speaker 1: estimated because we have no idea how many they are

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Speaker 1: gonna be turned in because of the mail in how

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Speaker 1: many are turned in because a so called ballot harvesting.

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Speaker 1: We have no idea. President Trump, on the weekend news

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Speaker 1: shows reiterated his goals in the Iran or no nuclear

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Speaker 1: bomb opened, the Strait of Hormouse, in sponsorship of terror proxies,

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Speaker 1: no sanctions released until and unless these conditions are met.

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Speaker 1: Trump walks out on the NBC interview and calls the host,

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Speaker 1: Christian Welker, crooked and stupid. Most Democrats are standing by

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Speaker 1: Graham Platner for Senator of Maine. Sixty minutes. Scott Pelley,

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Speaker 1: who's been fired, says that under new management, and I'm

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Speaker 1: quoting him, there has.

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Speaker 3: Been a subtle bias. I've never seen at sixty minutes

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Speaker 3: or at CBS.

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Speaker 4: End of quote.

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Speaker 1: I've never seen a bias at CBS or at sixty minutes.

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Speaker 1: Now there's a subtle bias. Hilly Clinton says migration has

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Speaker 1: been disruptive and destabilizing. Attacks against DHS officers are up

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Speaker 1: eight thousand percent. More fraud disclosed in Ohio and California

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Speaker 1: and in the food stamp program. All of this in

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Speaker 1: more triple eight nine seventy one sage of late nine

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Speaker 1: seventy one seven two fourty three descent, of course, is

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Speaker 1: welcome and we have our mark from LA line always

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Speaker 1: open twenty four to seven, so Mark feel free to

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Speaker 1: join in. The water is warm. I want to talk

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Speaker 1: to you about what's going on here in California because

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Speaker 1: when we went to bed on Friday, it appeared that

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Speaker 1: Spencer Pratt would finish in top two and therefore square

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Speaker 1: off against the LA mayor, who's already projected to finish

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Speaker 1: number one in the primary. Now the number three candidate,

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Speaker 1: Nicitia Robin, has passed Spencer Pratt with I don't know

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Speaker 1: how many votes left count probably a couple hundred thousand,

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Speaker 1: and most of those are breaking in favor of Democrats,

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Speaker 1: So the odds of mister Pratt even finishing number one

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Speaker 1: or two appear to be diminishing by the day. We're

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Speaker 1: gonna talk to a long time strategists here in California

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Speaker 1: about that in just a few minutes about the the

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Speaker 1: governor's race, Javier Passera is projacket to win. The contest

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Speaker 1: is now between Steve Hilton and Tom Steyer for second place.

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Speaker 1: Stier is still pretty significantly back, and based upon how

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Speaker 1: the votes are breaking, it appears that Hilton will in

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Speaker 1: fact finish number one or number two, although it is possible,

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Speaker 1: again possible Stier could catch up. There is still probably

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Speaker 1: an estimated I don't know two million left to be counted,

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Speaker 1: so unclear whether or not Hilton will make it likely

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Speaker 1: he will, but.

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Speaker 3: It is unclear.

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Speaker 1: It is reasonably clear that's spent to prep despite all

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Speaker 1: of the work, all of the publicity, all of the

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Speaker 1: adulation about how he used AI and has changed campaigning forever.

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Speaker 1: It does not look to me right now as we speak.

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Speaker 1: I'll talk to my guest about this in a few

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Speaker 1: minutes that he will finish in the top to now

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Speaker 1: about whether or not this is just California being California.

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Speaker 1: The Shenanigans are built in because they want anybody and

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Speaker 1: everybody who's got a pulse to be able to vote

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Speaker 1: under bizarre circumstances or if there's fraud going on. President

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Speaker 1: Trump has already suggested fraud's going on, and the governor,

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Speaker 1: Gaven Newsom, has fired back and said there's no evidence

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Speaker 1: of fraud. President Trump was asked about his assertion that

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Speaker 1: the fraud during the NBC Weekend interview that he walked

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Speaker 1: down on. He was demanded demanded that he show evidence.

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Speaker 1: He said, just look at it. Here's the problem. In Florida,

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Speaker 1: large population, like California, they do have mail in balloting.

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Speaker 1: President Trump votes in Florida through mail in. You know

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Speaker 1: the results almost right away. Third borough countries, some of them,

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Speaker 1: you know the results right away. California takes thirty day.

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Speaker 1: And here's the other problem. The Secretary of State, who's

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Speaker 1: in charge of the elections is named Shirley Weber. When

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Speaker 1: I announced my candidacy for governor in twenty twenty one,

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Speaker 1: people don't remember this. Keep in mind it is a

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Speaker 1: two step process. Number One, the voters have to decide,

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Speaker 1: do you want governor Gavin Newsom recalled? A fifty percent

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Speaker 1: plus one said yes. Whoever gets the most number of

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Speaker 1: votes on their replacement ballot wins. And there were something

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Speaker 1: like forty five people on the replacement ballot, counting myself.

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Speaker 1: And when I jumped into the race, the percentage of

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Speaker 1: people who said I want him recalled versus those who

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Speaker 1: said I don't, we're almost the same, almost identical. So

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Speaker 1: there was a real, real fear that this man was

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Speaker 1: going to be recalled. So I get into the race.

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Speaker 1: One of the many requirements is I had to turn

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Speaker 1: over five years of income tax returns. So I symbol

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Speaker 1: all this with my experts and we turned it in.

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Speaker 1: You had to turn in two identical sets. It was

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Speaker 1: roughly five hundred pages long. It's amazing how long these

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Speaker 1: stuff is. Five hundred pages. We turned in five hundred

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Speaker 1: and five hundred. You had to turn in identical sets.

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Speaker 1: So I get a phone call from one of my

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Speaker 1: campaign staffers early in the morning, two or thre o'clock

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Speaker 1: in the morning, Larry, the provisional ballot has come out

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Speaker 1: and our name is not on there. What a bunch

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Speaker 1: of phone calls? Turns out we turned in the stacks

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Speaker 1: of two five hundred and five hundred. In the second one,

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Speaker 1: seven pages were missing. Now, I'm not going to accuse

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Speaker 1: anybody of engaging in the various activities, although I think

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Speaker 1: the various activities were engaged in, but I'm not going

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Speaker 1: to go there. Five hundred, five hundred, four hundred ninety

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Speaker 1: three what so Secretary of State said that Larry Elder

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Speaker 1: is not qualified to run. He will not be on

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Speaker 1: the ballot. Naturally, we found a lawsuit. You can go

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Speaker 1: on YouTube and see the hearing. It lasted about fifteen minutes,

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Speaker 1: and my lawyer argued that under California law, you can

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Speaker 1: cure c r E a defect if it can be

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Speaker 1: cured easily. And given the first set had all five

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Speaker 1: hundred pages, the second set had seven missing, all you

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Speaker 1: to do was go look at the first set and

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Speaker 1: find out where the seven pages are and duplicate them.

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Speaker 1: And then you're home free. But the Secretary of State

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Speaker 1: chose not to do that because, in my opinion, she

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Speaker 1: wanted me off the ballot. That's why we sued. And

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Speaker 1: the judge said, and I'm paraphrasing to the lawyers representing

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Speaker 1: the Secretary of State, do you not have we have

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Speaker 1: all of mister Elders's records in the first set? Well, yeah,

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Speaker 1: we do, so isn't it just a matter of looking

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Speaker 1: at that first set to determine the few pages that

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Speaker 1: are missing in the second set?

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Speaker 3: Well? Yeah, but the letter of the law is blah

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Speaker 3: blah blah blah blah.

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Speaker 1: And is it not true that there is a statue

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Speaker 1: that says you can easily cure a minor defect like

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Speaker 1: this isn't this minor?

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Speaker 5: Well?

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Speaker 6: Blah blah blah blah.

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Speaker 1: So she ruled in favor of me. But the point

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Speaker 1: is the Secretary of State, Shirley Weber, in my opinion,

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Speaker 1: attempted to keep me off the ballot because the poll

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Speaker 1: suggested that if Elder got on, he might very well

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Speaker 1: be able to become the next governor of California. It

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Speaker 1: doesn't give you a whole lot of confidence, does it.

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Speaker 1: And in California, we have what's called ballot harvesting. Donald

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Speaker 1: Trump I mentioned this last week on a number of occasions,

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Speaker 1: have referred to the Carter Baker Commission, Bipartisan Commission, Jimmy Carter,

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Speaker 1: James Baker, former Secretary of State, Republican Secretary of State,

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Speaker 1: and they talked about various voting schemes and said mail

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Speaker 1: in voting is the one that's the most fraud for fraud.

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Speaker 1: Didn't outlaw it, didn't say it should be outlawed, but

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Speaker 1: had a bunch of different things that said you need

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Speaker 1: to do in order to make it something that people

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Speaker 1: could believe in. One of those was to outlaw what

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Speaker 1: we now call ballot harvesting. That is real simply a

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Speaker 1: third party picks up your ballot and drop it off

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Speaker 1: at an election center. At one time, if you were

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Speaker 1: disabled and a relative dropped your ballot off, that was okay.

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Speaker 1: Then they changed it. If you weren't disabled, but a

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Speaker 1: relative dropped off your ballot, that was okay, didn't they

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Speaker 1: change it till you didn't have to be disabled, didn't

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Speaker 1: have to be a relative. You can imagine the potential

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Speaker 1: for fraud. And Democrats use ballot harvesting a few years

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Speaker 1: ago to Winston State's seats in Orange County and Toil

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Speaker 1: Republic and said, Okay, if you got a going to

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Speaker 1: do it, we're going to do it. And those seats

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Speaker 1: are pretty much won back. Well, we have a whole

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Speaker 1: bunch of ballots that have been dropped off by a

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Speaker 1: third party. We don't know how many, because they don't

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Speaker 1: keep track of all the votes that have been cast.

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Speaker 1: What percentage of them are those who have been dropped

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Speaker 1: off by a third party? We don't know. They don't

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Speaker 1: keep track. So it doesn't give you a whole lot

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Speaker 1: of confidence, does it. The aforementioned Secretary of State says,

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Speaker 1: just be cool, don't worry. Our goal is quality, not speed.

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Speaker 1: All this and more, I'm Larryoda.

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Speaker 3: Parents.

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Speaker 1: The biggest question in education today is how artificial intelligence

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Speaker 1: is shaping the way your student learns. Artificial intelligence is

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Speaker 1: changing education faster than most schools are willing to admit,

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Speaker 1: and many families are rightly concerned. At Patrick Henry College,

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Speaker 1: the goal isn't to outsource thinking to machines, to train

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Speaker 1: students to think for themselves. PHC emphasizes a Christian liberal

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Speaker 1: arts education that develops reasoning, writing, speaking, and discernment skills

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Speaker 1: no algorithm can replace. Students learn to engage technology wisely,

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Speaker 1: understanding its capabilities but also its danger and limitations, rather

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Speaker 1: than becoming dependent on it. In a world increasingly shaped

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Speaker 1: by AI, Patrick Henry College prepares students to lead with wisdom, conviction,

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Speaker 1: and moral clarity. If you want a college that prepares

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Speaker 1: your child to lead in an AI driven world without

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Speaker 1: losing his or her faith and values, I encourage you

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Speaker 1: to learn more about Patrick Henry College. Visit PHC dot

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Speaker 1: edu slash elder. That's PHC dot edu slash elder.

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Speaker 2: Lo ho fashion.

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Speaker 7: Okay, so the latest batch of votes from La County

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Speaker 7: has come in. Let's see what the Sunday talenty has

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Speaker 7: done to the leaderboard. We've been waiting for days to

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Speaker 7: see if this would happen in the La Mayor's race.

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Speaker 8: And today it did.

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Speaker 7: Methioomen has jumped over Spencer Prad and now sits in

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Speaker 7: second place, ahead by about three thousand votes ahead of

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Speaker 7: Spencer Pratt. Karen Bass holding steady in first place. In fact,

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Speaker 7: she picked up a significant chunk of the votes that

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Speaker 7: we saw released from La County today. She got about

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Speaker 7: fifteen thousand Nythia Ramen got about nineteen thousand. Spencer Pratt

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Speaker 7: is still picking up votes. He picked up another nine

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Speaker 7: thousand today, but it looks like it is just not enough.

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Speaker 7: And if this trend holds, this is what it's going

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Speaker 7: to look like in November for the general election. Karen

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Speaker 7: Bass versus Nythia Rahmen. We'll see if this holds. There

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Speaker 7: is still about fifteen sixteen percent of the vote to

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Speaker 7: be counted, but the trend has been happening since election night.

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Speaker 7: Nithia Ramen has now passed over Spencer Pratt into second place.

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Speaker 1: Triple eight ninety seven one Sage Triple eight nine seven

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Speaker 1: one seven two four to three. I'm Larry Elder, still

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Speaker 1: in Newschamp reminds me of that last line in that

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Speaker 1: movie directed by Roman Polanski starring Jack Nicholson about Los Angeles.

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Speaker 1: Forget about it, Jake, It's Chinatown Triple eight ninety seven

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Speaker 1: one sah Ge Triple eight ninety seven, one seven two

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Speaker 1: four three. I am Larry Elder. We are Salem News Channel.

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Speaker 1: And last week I told you that it will last

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Speaker 1: week for angel Tree, and it was our last week.

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Speaker 1: I was going to tell you how much I appreciate

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Speaker 1: what you guys have done. You know, my goal was

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Speaker 1: to raise enough money to send one hundred and sixty

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Speaker 1: two kids to summer camp two hundred dollars a pop.

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Speaker 1: Guess how many kids we were able to raise enough

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Speaker 1: money to send the camp four hundred and thirty nine,

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Speaker 1: substantially higher than my goal, all because of you. You

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Speaker 1: guys stepped up big time, and I cannot tell you

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Speaker 1: how much I appreciate it. I cannot tell you how

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Speaker 1: much these kids are going to appreciate it. I told

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Speaker 1: you I've been to a couple of Angel Tree summer camps,

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Speaker 1: and the atmosphere is amazing, from the time first day

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Speaker 1: that they're there to the last day they're there. They

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Speaker 1: appreciate the guidance, they appreciate being around other kids with

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Speaker 1: a mom or dad in prison. They appreciate the food,

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Speaker 1: and many of them have learned to embrace God, embrace Christ.

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Speaker 1: So it was just fantastic. I spoke in one of them,

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Speaker 1: told a little bit about my background, and nobody in

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Speaker 1: my family ever went to jail, but my father never

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Speaker 1: knew his father, you know my story. I told them that,

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Speaker 1: and I think they appreciated it. Anyway, I cannot tell

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Speaker 1: you how much I appreciate what you guys have done.

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Speaker 1: Thank you, thank you, thank you. Now another problem here

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Speaker 1: in California. According to the DOJ, there are something like

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Speaker 1: eight hundred thousand people on the voting roles in California

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Speaker 1: who either dead or moved away. Now why is this important?

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Speaker 1: Because every single registered voter in California, whether he or

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Speaker 1: she or they requested a ball it well get one.

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Speaker 1: In the past you had to request a mail in ballot,

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Speaker 1: no moss. They send them to every single registered voter.

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Speaker 1: That means everybody on the voting roles, including the eight

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Speaker 1: hundred thousand or so who are dead or moved away.

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Speaker 1: Number thirty three.

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Speaker 9: Katie, are Democrats cheating?

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Speaker 6: Listen?

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Speaker 10: In twenty nineteen, the Tom Fitton with Judicial Watch sued

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Speaker 10: Los Angeles County and what did they find. Los Angeles

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Speaker 10: County hadn't kicked anyone off their voter rolls for over

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Speaker 10: twenty years. They had to kick off one point five

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Speaker 10: million people off those voter rules. One point five million,

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Speaker 10: and in the last seven years since that happened, four

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Speaker 10: hundred plus thousand people have fled Los Angeles. So we're

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Speaker 10: relying on this faulty system that never kicked people off

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Speaker 10: the voter rules to begin with, to somehow now start

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Speaker 10: doing it and look, the electoral the electoral system is broken.

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Speaker 8: If you have the.

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Speaker 9: County in a week, how do those people But the

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Speaker 9: reason that the system is slow is because of signature

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Speaker 9: verification to go through all of that to make sure

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Speaker 9: that there isn't fraud or anything like that, how are

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Speaker 9: those people supposed to get through the system.

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Speaker 10: Well, listen, you could have voter ID and same day

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Speaker 10: voting and no universal mail in ballots. If you had

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Speaker 10: all of those, you would know you're your.

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Speaker 5: Results would right away.

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Speaker 11: California banned the ID.

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Speaker 10: They have universal mail in ballots and by and large

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Speaker 10: a lot of those ballots that come in are typically

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Speaker 10: Democrat drops. And right now we're seeing and news is mixed.

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Speaker 10: We are actually seeing a pretty stable flow of Pratt,

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Speaker 10: Ramen and Karen Bass. However, this is something that needs

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Speaker 10: to be looked at because it should not take over

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Speaker 10: weeks and weeks and weeks to get this.

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Speaker 1: It should not take weeks and weeks and weeks for this. Now,

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Speaker 1: the Secretary of State, the aforementioned Secretary of State, surely

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Speaker 1: Weber is urging patients. We're striving for accuracy over speed.

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Speaker 12: Number thirty one, Elli County is expected to release a

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Speaker 12: new round of election results. Here's where we stand at

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Speaker 12: three o'clock in the California governor's race. Republican Steve Hilton

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Speaker 12: and Democrat Javier Besera are at the top. Democrat Tom

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Speaker 12: Steyer is in third. Now keep in mind, only the

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Speaker 12: top two candidates will advance to the November ballot. And

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Speaker 12: when it comes to the Eli mayoral race, you see,

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Speaker 12: if they're incumbent Mayor Karen Bass is moving on to

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Speaker 12: the runoff election, but her November opponent will still to

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Speaker 12: be determined. Right now, Spencer Pratt is currently at thirty

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Speaker 12: percent nithiurami. You see, if they're twenty two percent at

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Speaker 12: this point, anything can happen. So we are less than

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Speaker 12: an hour away from getting fresh numbers. NBC fours Amberprius's

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Speaker 12: live at the La County Election Center in City of

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Speaker 12: Industry where the counting continues out there.

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Speaker 13: Amber, Hey, Annabell, Yeah, this is a massive operation. People

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Speaker 13: here continue to work quickly to get all those votes counted,

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Speaker 13: all those ballots processed, because, as we know, there are

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Speaker 13: a lot of close races that people are just waiting

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Speaker 13: to get those votes in now. Earlier today we got

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Speaker 13: a little tour of the facility where they showed us

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Speaker 13: just how it all works, how we get those votes counted.

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Speaker 13: They tell us it all starts as soon as the

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Speaker 13: ballot lands here. It starts with a machine that verifies

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Speaker 13: the signature on the ballot, matches other signatures that you've

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Speaker 13: used for your ballots in the past. From there it

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Speaker 13: comes to a section called extraction. That's where people are working.

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Speaker 13: They take each envelope one by one, take out the ballot,

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Speaker 13: separate it, get it ready to get scanned. And what

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Speaker 13: you are looking at right now, this is one of

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Speaker 13: the final final stages here. This is where the ballot

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Speaker 13: is actually scanned them by the machine and where your

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Speaker 13: vote is counted. Now, these people in there, they're inside

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Speaker 13: a room. They don't have any communication with the people

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Speaker 13: out here. We are told they don't even have phone

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Speaker 13: or internet service, just working hard to get these votes counted. Now,

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Speaker 13: the latest numbers from the La County Register's Office show

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Speaker 13: that more than one million ballots have been counted. Mail

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Speaker 13: ballots can be postmarked as late as election day and

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Speaker 13: still be accepted up to seven days after and on

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Speaker 13: top of that, election workers must also review and process

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Speaker 13: provisional ballots, write in ballots, and damage ballots. After all

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Speaker 13: that is done, after all the ballots are counted, the

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Speaker 13: Register must conduct a post election on it that includes

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Speaker 13: manually tallying a random sample of ballots to verify the

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Speaker 13: accuracy of the machine count, and by law, at least

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Speaker 13: one percent of the precincts must be included in that review.

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Speaker 13: So the Register has thirty days to complete all of

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Speaker 13: that and certify the results. Counties then need to submit

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Speaker 13: their official count to the Secretary of State by July second,

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Speaker 13: so a lot of work to be done still before

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Speaker 13: we get a final look of those official final numbers. Now,

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Speaker 13: just like we are here, the public is also invited

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Speaker 13: to get a tour of the where House and be.

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Speaker 1: In a We're going to talk to an expert on

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Speaker 1: California elections and how they count the vote in just

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Speaker 1: a few minutes. Stick around for that. Triple eight nine

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Speaker 1: seveny one sage.

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Speaker 11: Observer.

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Speaker 13: We spoke with one observer this morning. Here's what she

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Speaker 13: had to say.

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Speaker 14: They do have sophisticated machinery, and they have a very

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Speaker 14: sophisticated process, and it seems like everybody is trained to

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Speaker 14: do their part in the process, so it seems like

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Speaker 14: a solid process, and they have checks and balances and

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Speaker 14: management and you know, so it does seem solid.

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Speaker 13: And you're seeing a group of observers walking by right now,

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Speaker 13: so you can calm down and do not But if

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Speaker 13: you're maybe too far away or you don't have the

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Speaker 13: opportunity to come down, but you want to get a

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Speaker 13: look at the process. The county also has a live

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Speaker 13: video up on their website where you could see every

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Speaker 13: stage of the process. You can find that at la

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Speaker 13: vote dot gov. We're also waiting for an updated number

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Speaker 13: on the account, and we'll bring that to you as

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Speaker 13: soon as it becomes available, but for now, reporting line

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Speaker 13: from the City of Industry Amber Free as NBC for News.

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Speaker 1: Triple eight nine seven one Sage Triple eight nine seven

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Speaker 1: one seven two four three. I am Larry Elder. We

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Speaker 1: are Salem NewsChannel. My guest was my campaign strategist during

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Speaker 1: the recall election in twenty twenty one. He has authored

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Speaker 1: a number of books, Texts Columns. Wrote the book called

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Speaker 1: Whiplash From JFK to Donald Trump, a Political Odyssey. Contributing

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Speaker 1: editor to the American Inspectator. Please welcome to the program,

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Speaker 1: mister Arnie Steinberg.

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Speaker 8: Hey Larry, it's good to be with you.

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Speaker 1: You two. Ernie, I was just telling people a moment ago.

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Speaker 1: People don't realize how hopefully came to winning that recall election.

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Speaker 1: If Antoni Viragosa had gotten to the race and been

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Speaker 1: on the replacement side, that would have drawn more votes

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Speaker 1: to the first part that would have passed, and you

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Speaker 1: and I would have won. Going away saying Arnie, well.

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Speaker 15: The first, of course, for people who don't know, is

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Speaker 15: that it doesn't matter that you came in first against

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Speaker 15: fifty candidates with a near majority, including Democratic voters, if

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Speaker 15: the recall didn't pass, and so the second part, the

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Speaker 15: candidate preference, is only operative the first occurs.

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Speaker 3: That's right.

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Speaker 1: I saw Antonio river Gosa by the way at the

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Speaker 1: UH Saint Patrick's Day event that I'm invited to every year,

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Speaker 1: and I said, Uh, Antonio, I heard you might get

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Speaker 1: into the race. A couple of articles in the LA

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Speaker 1: Times said if you did, you'd be a political pariah

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Speaker 1: if you quote pulled a cruise a Boustamante close quote

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Speaker 1: and jump into the race. Is that why you jumped

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Speaker 1: out and he didn't give me a straight answer, Arnie,

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Speaker 1: so I know that he was pressured not to uh,

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Speaker 1: not to join the race anyway. That's the water under

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Speaker 1: the bridge over the dam, or under the dam over

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Speaker 1: the bridge, however you phrase it.

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Speaker 15: The people are just confused by a black eye and

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Speaker 15: a Latino at a Saint Patrick's Day.

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Speaker 1: We weren't the only one, by the way, Anie, Arnie.

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Speaker 1: President Trump has already fraud what's going on in California

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Speaker 1: regarding the gubernatorial's race and the mayor's race. He was

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Speaker 1: castigated on the Sunday Chat show by the NBC hosts,

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Speaker 1: who said, what's your evidence, what's your proof? What's your proof?

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Speaker 1: What's your proof? And Trump said, well just look at it.

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Speaker 1: To that, Arnie, for people outside of California looking at

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Speaker 1: this mess, what is your analysis what's going on in

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Speaker 1: the state.

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Speaker 15: Well, you have so many different factors. First, you know,

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Speaker 15: you have to understand that when you have conflict of iteros,

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Speaker 15: people say the appearance of conflict of interest is a proper, whether.

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Speaker 8: It's actual or not.

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Speaker 15: And here we have a voting system where it has

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Speaker 15: the appearance. As a president Trump said, it looks like

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Speaker 15: it's all screwed up and something's fishy, it doesn't pass

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Speaker 15: the smell test. So if that's the case, it almost

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Speaker 15: doesn't matter what the substance is. But the substance is

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Speaker 15: that we have come up with a system here after

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Speaker 15: COVID that energizes and facilitates as many people voting as

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Speaker 15: possible on the wrong theory that that's better for democracy. See,

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Speaker 15: and so in the course of that we allow four

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Speaker 15: possible problems. We allow for people registering to vote without

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Speaker 15: always sufficient proof. We allow we send ballots to everybody,

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Speaker 15: and so that incentivizes if you've got the wrong addresses

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Speaker 15: or you've got the wrong names on there. You have

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Speaker 15: people getting an absentee ballot to vote who may be dead,

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Speaker 15: who may have moved. And we have people who are

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Speaker 15: telling us that they receive multiple ballots where their son

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Speaker 15: or daughter moved and they receive ballots just like at

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Speaker 15: my home, my son moved and he was still getting

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Speaker 15: ballots here.

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Speaker 8: You know, I was looking just before we run on

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Speaker 8: the broadcast about Florida.

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Speaker 15: How is it that Florida, which is a usually populous state,

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Speaker 15: process of differently. Well, first of all, they're like the

436
00:24:42,880 --> 00:24:45,840
Speaker 15: old days in California, they don't allow They don't give

437
00:24:45,960 --> 00:24:50,720
Speaker 15: every voter an envelope and saying here's your absentee ballot.

438
00:24:50,880 --> 00:24:53,159
Speaker 15: You have to ask for it there. And so in

439
00:24:53,200 --> 00:24:56,960
Speaker 15: Florida you get a much fewer male. Secondly, you can't

440
00:24:57,600 --> 00:25:01,480
Speaker 15: vote after election day, and as you can't send a

441
00:25:01,520 --> 00:25:03,840
Speaker 15: bellt that arrives after election day, it's just like we

442
00:25:03,920 --> 00:25:06,159
Speaker 15: used to be call afforded. By the close of business

443
00:25:06,359 --> 00:25:09,480
Speaker 15: on election day, your abstitute ballots must have arrived, or

444
00:25:09,520 --> 00:25:11,880
Speaker 15: you can go to the voter booth and say I'm

445
00:25:11,960 --> 00:25:15,960
Speaker 15: voting absitee. Here's an enflop there. So you have differences

446
00:25:16,040 --> 00:25:18,840
Speaker 15: like that. And also in Florida they're processing the abstutely

447
00:25:18,840 --> 00:25:20,800
Speaker 15: ballots at a much faster rate that have come in

448
00:25:21,000 --> 00:25:23,560
Speaker 15: before election day, ever comes, we still have a bunch

449
00:25:23,600 --> 00:25:26,879
Speaker 15: of you know, unopened. So for all those reasons, we

450
00:25:26,960 --> 00:25:29,359
Speaker 15: have a situation that doesn't sound credible. It sounds like

451
00:25:29,400 --> 00:25:32,480
Speaker 15: a third world nation. And whether President Trump is right

452
00:25:32,640 --> 00:25:36,159
Speaker 15: or not about actual corruption, it has the appearance of that.

453
00:25:36,320 --> 00:25:38,680
Speaker 1: And let me say we're gonna take a break first,

454
00:25:38,760 --> 00:25:39,879
Speaker 1: Ary and we come back. I want to talk to

455
00:25:39,920 --> 00:25:41,919
Speaker 1: you about the alleged eight hundred thousand people who are

456
00:25:41,920 --> 00:25:44,680
Speaker 1: on the voting rolls that have either moved or who

457
00:25:44,720 --> 00:25:46,200
Speaker 1: are dead right, and I want to talk to you

458
00:25:46,240 --> 00:25:49,119
Speaker 1: about ballot harvesting, so please don't go away. Yes, whether

459
00:25:49,160 --> 00:25:52,439
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460
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467
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474
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476
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480
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Speaker 7: Okay, we just got our Saturday batch of votes from

481
00:27:15,200 --> 00:27:15,680
Speaker 7: LA County.

482
00:27:15,760 --> 00:27:17,440
Speaker 8: Let's take a look at where things stand right now.

483
00:27:17,480 --> 00:27:18,920
Speaker 8: This is the LA Mayor's race.

484
00:27:19,280 --> 00:27:21,520
Speaker 7: Karen Vass has already been projected to advance to the

485
00:27:21,600 --> 00:27:24,080
Speaker 7: runoff in November, so the race now is between two

486
00:27:24,240 --> 00:27:27,680
Speaker 7: and three Spencer Pratt and Nythia Raman. Ramen came into

487
00:27:27,680 --> 00:27:30,959
Speaker 7: this day about twenty one thousand votes behind Spencer Pratt.

488
00:27:31,160 --> 00:27:32,560
Speaker 8: His latest batch of votes.

489
00:27:32,400 --> 00:27:36,200
Speaker 7: Was about sixty thousand. Look at the deficit now, it's

490
00:27:36,240 --> 00:27:39,400
Speaker 7: about seventy five hundred between second place.

491
00:27:39,160 --> 00:27:39,920
Speaker 1: And third place.

492
00:27:39,960 --> 00:27:43,520
Speaker 7: The percentages are tightening, their vote totals are tightening, and

493
00:27:43,640 --> 00:27:47,639
Speaker 7: here we stand. Nythiraman is about to overtake Spencer Pratt

494
00:27:47,680 --> 00:27:50,840
Speaker 7: if this continues with tomorrow's drop and the next drop

495
00:27:50,880 --> 00:27:53,399
Speaker 7: as well. Remember she was forty thousand votes behind on

496
00:27:53,480 --> 00:27:56,480
Speaker 7: election night. That went down only three or four thousand

497
00:27:56,560 --> 00:27:58,840
Speaker 7: with the next patch. Then cut it too about twenty

498
00:27:58,880 --> 00:28:01,800
Speaker 7: one thousand, and here we are at seventy five hundred four.

499
00:28:02,640 --> 00:28:05,920
Speaker 1: That was on Saturday, and Nathia Rahman, the Democrat Socialist

500
00:28:06,000 --> 00:28:09,040
Speaker 1: has now overtaken Spencer Pratt Triple eight ninety seven one

501
00:28:09,440 --> 00:28:12,359
Speaker 1: Sage Triple eight nine seven one seven two four or

502
00:28:12,400 --> 00:28:15,640
Speaker 1: three Larry Older, Salem News Channel. My guest is Ernie Steinberg,

503
00:28:15,720 --> 00:28:19,520
Speaker 1: longtime GOP strategists here in California. Arnie talked to me

504
00:28:19,560 --> 00:28:21,919
Speaker 1: about the alleged eight hundred thousand people who are on

505
00:28:21,960 --> 00:28:25,320
Speaker 1: the voting rolls who have either moved or who are dead.

506
00:28:26,920 --> 00:28:29,080
Speaker 15: Well, I know that never has been bandied about, but

507
00:28:29,160 --> 00:28:32,000
Speaker 15: the problem is much more profound. You know, there's the

508
00:28:32,040 --> 00:28:34,919
Speaker 15: same garbage in garbage out with respected data. And so

509
00:28:35,160 --> 00:28:38,280
Speaker 15: if you have garbage in, by which I mean voters

510
00:28:38,320 --> 00:28:40,680
Speaker 15: that should not be there, they've died, they've moved away,

511
00:28:41,000 --> 00:28:43,960
Speaker 15: or whatever they're that's garbage in data. And so it

512
00:28:44,000 --> 00:28:46,200
Speaker 15: doesn't matter whether they vote by mail or they vote.

513
00:28:46,360 --> 00:28:49,360
Speaker 15: They can't vote by person because they don't exist or

514
00:28:49,480 --> 00:28:52,240
Speaker 15: just so that address there, they've died or moved away,

515
00:28:52,560 --> 00:28:55,680
Speaker 15: but somebody can, in theory vote for them by mail,

516
00:28:55,720 --> 00:28:56,960
Speaker 15: and that's where the fraud comes in.

517
00:28:57,920 --> 00:29:00,280
Speaker 1: Do you have any idea of the eight hundred and

518
00:29:00,280 --> 00:29:03,440
Speaker 1: how many of them in fact have voted or will vote.

519
00:29:04,760 --> 00:29:04,880
Speaker 16: No.

520
00:29:05,040 --> 00:29:06,000
Speaker 8: And you know, the.

521
00:29:05,960 --> 00:29:07,800
Speaker 15: Reason we don't is we don't seem to have a

522
00:29:07,800 --> 00:29:09,080
Speaker 15: systematic way of doing this.

523
00:29:09,560 --> 00:29:10,240
Speaker 8: And it's worse.

524
00:29:10,280 --> 00:29:12,560
Speaker 15: You know, we have what they call curing ballots there,

525
00:29:12,720 --> 00:29:14,760
Speaker 15: so somebody sends it a ballot and it screwed up

526
00:29:14,760 --> 00:29:17,040
Speaker 15: in some way, the signature isn't there or whatever, and

527
00:29:17,120 --> 00:29:19,880
Speaker 15: the registrar can give authorities someone say well, we're going

528
00:29:19,960 --> 00:29:21,680
Speaker 15: to cure the ballot and fix.

529
00:29:21,440 --> 00:29:22,080
Speaker 8: It in some way.

530
00:29:22,720 --> 00:29:26,960
Speaker 15: We place a premium on having as many voters as possible,

531
00:29:27,240 --> 00:29:29,840
Speaker 15: regardless of the quality of the voter. By quality, I

532
00:29:29,840 --> 00:29:33,520
Speaker 15: don't mean with respect to intelligence or race, or party

533
00:29:33,560 --> 00:29:35,040
Speaker 15: registration or political philosophy.

534
00:29:35,200 --> 00:29:37,000
Speaker 8: I mean simply the integrity of the ballot.

535
00:29:37,640 --> 00:29:41,120
Speaker 1: Arnie, why aren't these ballots cleaned up voting?

536
00:29:41,280 --> 00:29:43,280
Speaker 8: Well, there's no excentive for them to clean up.

537
00:29:43,320 --> 00:29:43,480
Speaker 16: You know.

538
00:29:43,840 --> 00:29:46,520
Speaker 15: It's sort of like asking the question why do school

539
00:29:46,600 --> 00:29:50,720
Speaker 15: districts get money per student enrolled rather than the quality

540
00:29:50,760 --> 00:29:52,320
Speaker 15: of the education they provide.

541
00:29:52,440 --> 00:29:54,720
Speaker 8: So there's simply no incentive there.

542
00:29:55,000 --> 00:29:57,760
Speaker 15: We have people who are there are more people paid

543
00:29:57,760 --> 00:30:00,040
Speaker 15: to deal with these ballots and so on there, and

544
00:30:00,080 --> 00:30:02,400
Speaker 15: the higher the universe of voters. There's this I think

545
00:30:02,480 --> 00:30:06,640
Speaker 15: wrong standard that it's better there. And I don't think

546
00:30:06,720 --> 00:30:09,880
Speaker 15: democracy is measured by simply the numbers and have I mean,

547
00:30:09,960 --> 00:30:12,560
Speaker 15: look at another aspect of this, Larry. The more people

548
00:30:12,600 --> 00:30:16,280
Speaker 15: you have voting before it election occurs, the less informed

549
00:30:16,320 --> 00:30:17,960
Speaker 15: they are. I don't mean they don't read the newspaper

550
00:30:18,000 --> 00:30:20,640
Speaker 15: in form, but they can't possibly react to late developments

551
00:30:20,640 --> 00:30:21,240
Speaker 15: in a campaign.

552
00:30:21,480 --> 00:30:22,760
Speaker 8: Somebody switches position to.

553
00:30:22,800 --> 00:30:26,480
Speaker 15: Scandal arises or whatever they're and people are not likely

554
00:30:26,520 --> 00:30:28,120
Speaker 15: to do what they legally can say, I'm going to

555
00:30:28,160 --> 00:30:30,480
Speaker 15: revoke by bail ballot, I'm going to do a new one.

556
00:30:30,480 --> 00:30:33,720
Speaker 15: In so, the very nature of democracy, I think is

557
00:30:33,720 --> 00:30:36,880
Speaker 15: compromised by early voting. We've seen it in presidential elections

558
00:30:36,880 --> 00:30:40,600
Speaker 15: here where we saw momentum going toward one candidate race

559
00:30:40,680 --> 00:30:43,080
Speaker 15: for senator governor or the president of the United States,

560
00:30:43,280 --> 00:30:45,880
Speaker 15: but people a large present of people already voted.

561
00:30:45,640 --> 00:30:48,360
Speaker 8: For president or senator governor Ernie. And by the way,

562
00:30:48,440 --> 00:30:49,160
Speaker 8: that's another.

563
00:30:48,920 --> 00:30:51,400
Speaker 15: Reason why Florida, which is a large state, is faster

564
00:30:51,520 --> 00:30:55,000
Speaker 15: than us is they cut off early voting at a

565
00:30:55,040 --> 00:30:56,760
Speaker 15: certain point. You can stop early voting, then you have

566
00:30:56,800 --> 00:30:59,080
Speaker 15: to show up at the ballot box that cuts it off,

567
00:30:59,240 --> 00:31:02,760
Speaker 15: and they only accept ballot Papsentee ballots are vote by

568
00:31:02,840 --> 00:31:04,800
Speaker 15: mail up till seven pm an election day.

569
00:31:04,920 --> 00:31:07,960
Speaker 8: We take them postmark then, which is up to seven

570
00:31:08,000 --> 00:31:08,480
Speaker 8: days later.

571
00:31:08,880 --> 00:31:12,200
Speaker 1: In receive Ernie, the President have frequently referred to the

572
00:31:12,280 --> 00:31:16,360
Speaker 1: Carter Baker Commission and falsely claims that they said that

573
00:31:16,440 --> 00:31:19,240
Speaker 1: we ought not allowed mail in voting. They were skeptical

574
00:31:19,280 --> 00:31:21,880
Speaker 1: about it and said it was the biggest potential for fraud,

575
00:31:21,920 --> 00:31:24,920
Speaker 1: but they said, with certain safeguards, it's okay. One of

576
00:31:24,920 --> 00:31:28,160
Speaker 1: the safeguards is the elimination of what we now call

577
00:31:28,240 --> 00:31:32,000
Speaker 1: ballot harvesting. Ballot harvesting in California, of course, is completely legal.

578
00:31:33,920 --> 00:31:38,280
Speaker 1: Why do we allow this? And we have any idea

579
00:31:38,360 --> 00:31:40,240
Speaker 1: of all the ballots turned in, how many of them

580
00:31:40,360 --> 00:31:42,800
Speaker 1: were gathered by a third party and then turned in?

581
00:31:44,120 --> 00:31:45,080
Speaker 8: No, we have no idea.

582
00:31:45,520 --> 00:31:48,240
Speaker 15: And if we have fifty eight counties and we have

583
00:31:48,320 --> 00:31:50,720
Speaker 15: fifty eight standards on these things, that everybody can be

584
00:31:50,720 --> 00:31:53,520
Speaker 15: a little bit different. There there is no uniform state standard.

585
00:31:54,080 --> 00:31:57,280
Speaker 15: And some of these county register reporters are more confident

586
00:31:57,320 --> 00:32:00,560
Speaker 15: than others, are more conscientious than others, may be more

587
00:32:00,600 --> 00:32:01,360
Speaker 15: honest than others.

588
00:32:01,400 --> 00:32:02,960
Speaker 8: I think most of them are honest.

589
00:32:03,160 --> 00:32:05,520
Speaker 15: But you know, John Fund, who's an expert in this field, said,

590
00:32:05,720 --> 00:32:07,760
Speaker 15: one of the problems with the way this in California

591
00:32:07,840 --> 00:32:10,720
Speaker 15: is it makes it very difficult to discern whether there's

592
00:32:10,720 --> 00:32:13,840
Speaker 15: a difference between the integrity and dishonesty in the one

593
00:32:13,880 --> 00:32:15,240
Speaker 15: hand and simple incompetence.

594
00:32:15,480 --> 00:32:17,120
Speaker 8: And we don't want systems.

595
00:32:16,680 --> 00:32:18,960
Speaker 15: Where you can't come up with the hypothesis and say

596
00:32:19,120 --> 00:32:21,960
Speaker 15: how much of the problems explained by dishonesty, how much

597
00:32:22,000 --> 00:32:22,520
Speaker 15: of it is.

598
00:32:22,480 --> 00:32:24,520
Speaker 8: Explained by incompetence.

599
00:32:24,640 --> 00:32:27,600
Speaker 15: And I'd like to address the question you raised, which

600
00:32:27,640 --> 00:32:31,000
Speaker 15: is on this harvesting that's akin to what we do

601
00:32:31,080 --> 00:32:34,160
Speaker 15: in this state with ballot measures. You know, everyone talks

602
00:32:34,200 --> 00:32:37,840
Speaker 15: about this great democratic system of referendum initiatives. What they

603
00:32:37,840 --> 00:32:41,680
Speaker 15: don't say is almost all these ballots measures go on

604
00:32:41,880 --> 00:32:45,560
Speaker 15: because of companies that are petitioned, companies where they hire

605
00:32:45,600 --> 00:32:48,040
Speaker 15: and sublet, where there are people who get paid to

606
00:32:48,080 --> 00:32:50,320
Speaker 15: get your signature, and so a lot of these people

607
00:32:50,360 --> 00:32:52,760
Speaker 15: say whatever it takes to get somebody to sign on

608
00:32:52,800 --> 00:32:53,320
Speaker 15: a ballot.

609
00:32:53,680 --> 00:32:56,240
Speaker 8: So you have an equivalent system here where you have

610
00:32:56,400 --> 00:33:00,400
Speaker 8: people that are being paid by or maybe being paid aid.

611
00:33:00,200 --> 00:33:03,520
Speaker 15: By political parties or specialists or candidates to go into

612
00:33:03,560 --> 00:33:07,240
Speaker 15: areas to solicit and canvass. First they solicten they have

613
00:33:07,320 --> 00:33:09,320
Speaker 15: you mailed in your ballots, you have it here, and

614
00:33:09,360 --> 00:33:12,000
Speaker 15: they come in right after the ballots arrived there and

615
00:33:12,000 --> 00:33:14,640
Speaker 15: then they're convincing people to send them the ballot. And

616
00:33:14,680 --> 00:33:17,520
Speaker 15: we don't know in some cases whether these pay people

617
00:33:17,640 --> 00:33:20,560
Speaker 15: are incentivized to say, let me fill out your ballot,

618
00:33:20,560 --> 00:33:22,840
Speaker 15: which is illegal. You can sign it, but you know,

619
00:33:23,000 --> 00:33:25,240
Speaker 15: you don't know who to vote for. Maybe you shouldn't

620
00:33:25,280 --> 00:33:27,680
Speaker 15: vote for this person for me, or there's nothing to press,

621
00:33:27,800 --> 00:33:30,920
Speaker 15: and you know there is advocacy. It's legal for you

622
00:33:31,080 --> 00:33:33,600
Speaker 15: or I to go and say, you know, Johnny, here's

623
00:33:33,600 --> 00:33:34,880
Speaker 15: how we think we should vote.

624
00:33:34,920 --> 00:33:35,480
Speaker 8: That's legal.

625
00:33:35,840 --> 00:33:38,360
Speaker 15: There's a different step when we start filling out your ballot.

626
00:33:38,440 --> 00:33:40,440
Speaker 15: Or if we claim, well, maybe you know you're you're

627
00:33:40,600 --> 00:33:42,640
Speaker 15: you're you're not equipped for it, maybe you're have a

628
00:33:42,640 --> 00:33:45,360
Speaker 15: problem with your eyesight or whatever. Who knows what's happening

629
00:33:45,400 --> 00:33:47,960
Speaker 15: out there, and there should be a systematic attempt to

630
00:33:48,520 --> 00:33:49,240
Speaker 15: look into this.

631
00:33:50,440 --> 00:33:52,360
Speaker 1: We just have forty five segments or so. Left. In

632
00:33:52,360 --> 00:33:56,000
Speaker 1: this segment, Arnie, do you believe that Steve Hilton will

633
00:33:56,040 --> 00:33:58,480
Speaker 1: finish number one and number two. We know he's not

634
00:33:58,480 --> 00:34:01,240
Speaker 1: going to finish number one. Believe that, based on the

635
00:34:01,280 --> 00:34:03,320
Speaker 1: way the votes are coming in what's happened in LA,

636
00:34:03,680 --> 00:34:05,720
Speaker 1: that Tom Steyer can catch Steve Hilton.

637
00:34:07,240 --> 00:34:10,520
Speaker 15: I think it is unlikely, but but but who knows.

638
00:34:10,880 --> 00:34:13,359
Speaker 15: I mean, the math of it looks better for him

639
00:34:13,440 --> 00:34:17,040
Speaker 15: than it looks for our Mary reality candidate here. Remember

640
00:34:17,239 --> 00:34:20,040
Speaker 15: that the higher than present of votes that get in,

641
00:34:20,239 --> 00:34:23,320
Speaker 15: the more mathematically the remaining votes have to change.

642
00:34:24,040 --> 00:34:25,560
Speaker 1: We're going to take a break, Arnie, we come back.

643
00:34:25,600 --> 00:34:27,640
Speaker 1: I want to ask you, what in the world is

644
00:34:27,760 --> 00:34:30,920
Speaker 1: Nthia Rahman's case for being elected mayor of Los Angeles?

645
00:34:30,920 --> 00:34:33,719
Speaker 1: What's her argument? Triple eight ninety seven one s h

646
00:34:33,719 --> 00:34:35,640
Speaker 1: g E. Triple eight nine seven one seven two four

647
00:34:35,680 --> 00:34:38,759
Speaker 1: to three is the number Declare your independence from pain.

648
00:34:39,440 --> 00:34:41,759
Speaker 1: For two hundred and fifty years, Americans have believed in

649
00:34:41,800 --> 00:34:44,080
Speaker 1: one powerful idea that we were meant to live free,

650
00:34:44,120 --> 00:34:46,319
Speaker 1: free to work hard, free to move, free to enjoy

651
00:34:46,360 --> 00:34:48,719
Speaker 1: life without being held back. But if every day aches

652
00:34:48,760 --> 00:34:50,520
Speaker 1: and pains are slowing you down, it might be time

653
00:34:50,560 --> 00:34:54,200
Speaker 1: to declare your independence from pain. I take relief factor

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655
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656
00:35:00,520 --> 00:35:02,960
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657
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Speaker 1: root causes of pain. It's not a quick fix, it's

658
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Speaker 1: not a temporary mask. It works from the inside out

659
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Speaker 1: at the source. Relief Factor was created so people could

660
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Speaker 1: get back to living life on their terms, walking, working, exercising,

661
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662
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Speaker 1: celebrate two hundred and fifty years of American independence, take

663
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Speaker 1: a stand for your own freedom. Declare your independence from pain.

664
00:35:24,440 --> 00:35:27,680
Speaker 1: Relief Factor today for just nineteen dollars and ninety five cents,

665
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666
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Speaker 1: of Relief Factor, Vietnam Vet, wounded several times became a

667
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Speaker 1: doctor to help people. When he saw how well relief

668
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669
00:35:38,480 --> 00:35:41,279
Speaker 1: it available for everybody. Your three week Quick Started Ready

670
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671
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672
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673
00:36:00,719 --> 00:36:03,480
Speaker 1: Triple eight nine seven one S Triple eight nine seven

674
00:36:03,560 --> 00:36:07,840
Speaker 1: one seventy two four three, Larry Elder Sale and MOWS Channel.

675
00:36:08,040 --> 00:36:09,799
Speaker 1: Coming you from the Relief Factor studio. Don't forget your

676
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Speaker 1: relief Factor eight hundred and four Relief eight hundred and

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678
00:36:14,640 --> 00:36:16,520
Speaker 1: Coming up, we're going to talk about Donald Trump storming

679
00:36:16,560 --> 00:36:19,880
Speaker 1: out of the NBC interview with Kursten. Welker called her

680
00:36:19,920 --> 00:36:22,240
Speaker 1: crooked and stupid, all of this and more. I guessed

681
00:36:22,560 --> 00:36:25,360
Speaker 1: last few minutes is Ernie Steinberg Arnie? What is Nythia

682
00:36:25,440 --> 00:36:30,080
Speaker 1: Robbins's argument why she should be elected mayor of Los Angeles?

683
00:36:30,400 --> 00:36:32,759
Speaker 15: I think she doesn't have to make one, as the

684
00:36:32,800 --> 00:36:35,120
Speaker 15: way the Electric City of LA is going there.

685
00:36:35,480 --> 00:36:38,120
Speaker 8: But you know she's a democratic Socialist.

686
00:36:37,840 --> 00:36:40,799
Speaker 15: America, which is the same as the new mayor of

687
00:36:40,840 --> 00:36:41,320
Speaker 15: New York.

688
00:36:41,760 --> 00:36:44,239
Speaker 8: We have another three members of city council that way,

689
00:36:44,600 --> 00:36:45,160
Speaker 8: and these.

690
00:36:44,960 --> 00:36:47,480
Speaker 15: Are socialists, and you know, in my day of socialist

691
00:36:47,480 --> 00:36:50,920
Speaker 15: believes in state ownership of resources. But what she and

692
00:36:51,000 --> 00:36:54,040
Speaker 15: Montdamney believe in is if they can't get that, they

693
00:36:54,040 --> 00:36:57,960
Speaker 15: should so regulate whoever's within their city bounds, that it's

694
00:36:58,040 --> 00:37:00,640
Speaker 15: equivalent to owning them. And I think think what people

695
00:37:00,680 --> 00:37:03,480
Speaker 15: need to understand is that when you have regulations like that,

696
00:37:03,680 --> 00:37:06,400
Speaker 15: it's not simply they that they own or have effective

697
00:37:06,440 --> 00:37:07,400
Speaker 15: control of the businesses.

698
00:37:07,520 --> 00:37:09,640
Speaker 8: It's that they own or control your life.

699
00:37:10,200 --> 00:37:13,200
Speaker 15: And I think we have an educational system where people

700
00:37:13,200 --> 00:37:17,160
Speaker 15: have lost touch with communism and Marxism and socialism, and

701
00:37:17,239 --> 00:37:20,320
Speaker 15: these people are getting a free ride and it's really sad.

702
00:37:21,040 --> 00:37:24,279
Speaker 15: And Larry, I don't live in the LCA limits, but

703
00:37:24,320 --> 00:37:26,560
Speaker 15: you still do, so you've got something to worry about.

704
00:37:26,640 --> 00:37:30,160
Speaker 15: They may come up with a law against black Libertarians.

705
00:37:32,320 --> 00:37:35,280
Speaker 1: Don't give me any ideas what is Javier but Sarah's

706
00:37:35,360 --> 00:37:37,400
Speaker 1: argument for why he should become governor.

707
00:37:39,280 --> 00:37:43,799
Speaker 15: Because he survived the primary of other candidates who were

708
00:37:44,160 --> 00:37:48,640
Speaker 15: equally unattractive politically, who are the same old, same olders

709
00:37:48,680 --> 00:37:51,280
Speaker 15: respect to Newsom, and so he's just a warm body

710
00:37:51,320 --> 00:37:54,319
Speaker 15: who has d after his name, and in California, that's

711
00:37:54,360 --> 00:37:55,000
Speaker 15: all you need.

712
00:37:55,840 --> 00:37:59,319
Speaker 1: Does assuming Hilton finishes number number two Arnie, does he

713
00:37:59,360 --> 00:38:00,399
Speaker 1: have a shot win.

714
00:38:01,680 --> 00:38:04,239
Speaker 15: I think the numbers make it difficult. I think that

715
00:38:04,320 --> 00:38:07,719
Speaker 15: someone like him has to run the best race possible

716
00:38:08,120 --> 00:38:11,279
Speaker 15: and hope that sometime a scandal erupts or something that

717
00:38:11,320 --> 00:38:15,040
Speaker 15: you never thought possible with Bisera. But I think the

718
00:38:15,080 --> 00:38:18,520
Speaker 15: stabilizing factor for the Democratic Party is the growth and

719
00:38:18,600 --> 00:38:21,920
Speaker 15: power of the government unions, which supply not only a

720
00:38:21,920 --> 00:38:24,479
Speaker 15: lot of money and resources, but a lot of union

721
00:38:24,480 --> 00:38:28,880
Speaker 15: member votes and their families, and they're interconnected there. And

722
00:38:28,920 --> 00:38:32,279
Speaker 15: I think that the only real way we have a

723
00:38:32,400 --> 00:38:35,120
Speaker 15: chance that long term reform is to do something very difficult,

724
00:38:35,160 --> 00:38:39,120
Speaker 15: which is to remove the power of all government employees

725
00:38:39,360 --> 00:38:42,560
Speaker 15: at any level to unionize. And that's the way it was.

726
00:38:42,600 --> 00:38:46,600
Speaker 15: I mean FDR posed unions, democratic electrificial to posed unions

727
00:38:46,719 --> 00:38:48,320
Speaker 15: until getting into the nineteen fifties.

728
00:38:48,920 --> 00:38:52,200
Speaker 1: Thirty seconds left, Arnie explained to the outside civilized world

729
00:38:52,200 --> 00:38:53,880
Speaker 1: why we have a jungle primary.

730
00:38:55,440 --> 00:38:58,240
Speaker 15: Well, we have a job because supposedly that was supposed

731
00:38:58,239 --> 00:39:00,480
Speaker 15: to be more democratic with a small deal, it's had

732
00:39:00,480 --> 00:39:05,439
Speaker 15: the exact opposite process. It's incentivized one party government. We've

733
00:39:05,440 --> 00:39:08,440
Speaker 15: had many cases where two Democrats replicates hereever and even

734
00:39:08,480 --> 00:39:11,319
Speaker 15: two Republicans there. Uh, And so I think we have

735
00:39:11,400 --> 00:39:12,920
Speaker 15: to do away with it. And I think people of

736
00:39:13,000 --> 00:39:16,000
Speaker 15: their own party should be able to vote for a

737
00:39:16,040 --> 00:39:17,280
Speaker 15: denominee of their own party.

738
00:39:17,520 --> 00:39:19,040
Speaker 1: Arnie, thank you very much for coming on. I really

739
00:39:19,040 --> 00:39:22,279
Speaker 1: do appreciate it. Ernie Steinberg, thank you you got it.

740
00:39:22,360 --> 00:39:24,680
Speaker 1: Triple eight nine seven one s A G. E. Tump

741
00:39:24,800 --> 00:39:27,200
Speaker 1: Trump storms out of an NBC interview. Stick around for that.

742
00:39:29,200 --> 00:39:30,840
Speaker 2: We are gonna make it.

743
00:39:34,719 --> 00:39:37,399
Speaker 1: So let's get her teed up.

744
00:39:45,080 --> 00:39:47,600
Speaker 2: You can't succeed with lt.

745
00:39:49,480 --> 00:39:51,879
Speaker 1: Triple eight nine seven one s A g E. Triple

746
00:39:51,920 --> 00:39:53,800
Speaker 1: eight nine seven one seven two four to three. I

747
00:39:53,880 --> 00:39:56,200
Speaker 1: am Larry Elder. We are still in Newstown Hereroy Clinton

748
00:39:56,239 --> 00:40:00,760
Speaker 1: says migration has been quote disruptive and destabilizing quotes quote

749
00:40:01,000 --> 00:40:04,719
Speaker 1: I didn't say it. Hillary did attacks against DHS officers

750
00:40:04,880 --> 00:40:09,319
Speaker 1: up eight thousand percent. More fraud disclosed in California and

751
00:40:09,360 --> 00:40:11,759
Speaker 1: in Ohio and in the food stamp program. All of

752
00:40:11,800 --> 00:40:15,080
Speaker 1: this in more Triple eight ninety seventy one Sage and

753
00:40:15,120 --> 00:40:18,000
Speaker 1: the Democrats are standing by their man, referring to Graham Platner,

754
00:40:18,440 --> 00:40:24,280
Speaker 1: the Democratic candidate for Senate in Maine. There's a book

755
00:40:24,480 --> 00:40:29,719
Speaker 1: came out two thousand and one called Bias, written by

756
00:40:29,760 --> 00:40:38,040
Speaker 1: a longtime CBS reporter named Bernie Goldberg, and in it

757
00:40:38,080 --> 00:40:40,879
Speaker 1: he discussed as a conversation he had with the then

758
00:40:41,000 --> 00:40:46,279
Speaker 1: head of CBS News. His name was Andrew Hayward, and

759
00:40:46,320 --> 00:40:48,920
Speaker 1: Bernie was concerned about what he proceeded to be biased

760
00:40:49,000 --> 00:40:55,439
Speaker 1: at CBS. And he talks about a conversation he had

761
00:40:55,760 --> 00:41:02,880
Speaker 1: with Hayward, and he quotes were just saying, quote, look, Bernie,

762
00:41:03,160 --> 00:41:07,200
Speaker 1: of course there's a liberal bias in the news. All

763
00:41:07,440 --> 00:41:12,960
Speaker 1: networks lean left. If you repeat any of this, I'll

764
00:41:13,000 --> 00:41:16,719
Speaker 1: deny it. End of quote. So Bernie of course put

765
00:41:16,719 --> 00:41:20,839
Speaker 1: it in his book, and Heyward denied it, referred to

766
00:41:20,920 --> 00:41:23,080
Speaker 1: Bernie's book as trash, that he had no intention of

767
00:41:23,080 --> 00:41:26,600
Speaker 1: reading it, and essentially felt that Bernie had betrayed the

768
00:41:26,600 --> 00:41:29,160
Speaker 1: network by writing a book where he out of the

769
00:41:29,160 --> 00:41:35,600
Speaker 1: network for what Bernie perceived to be it's left wing bias.

770
00:41:36,960 --> 00:41:41,920
Speaker 1: Peter Jennings, long time anchor for ABT News, denied that

771
00:41:41,960 --> 00:41:43,880
Speaker 1: there was liberal bias, although later on he said there

772
00:41:43,920 --> 00:41:47,200
Speaker 1: probably was. And of course, Dan Rather, also a long

773
00:41:47,239 --> 00:41:51,400
Speaker 1: time anchor at CBS News, denied that there was liberal bias.

774
00:41:52,080 --> 00:41:54,400
Speaker 1: I've had three really famous people hang up on me

775
00:41:54,760 --> 00:42:02,520
Speaker 1: during my thirty two year career in radio, Ralph Alan Dershowitz,

776
00:42:02,560 --> 00:42:07,640
Speaker 1: who apologize and call back the next day, and Walter Cronkite.

777
00:42:09,400 --> 00:42:12,279
Speaker 1: Walter Cronkite and I were having an interview thanks for

778
00:42:12,320 --> 00:42:15,880
Speaker 1: going reasonably well, and I asked him whether or not

779
00:42:16,080 --> 00:42:20,680
Speaker 1: reporters were liberal, and he said, well, if by liberal

780
00:42:20,719 --> 00:42:25,359
Speaker 1: you mean open minded, yes, I said no, I don't

781
00:42:25,360 --> 00:42:27,040
Speaker 1: mean that. I mean do you think they're liberal in

782
00:42:27,160 --> 00:42:31,040
Speaker 1: terms of their politics or ideology their worldview? He said no.

783
00:42:33,600 --> 00:42:35,719
Speaker 1: And then I said, do you think it was your

784
00:42:35,840 --> 00:42:40,000
Speaker 1: role as a journalist to say after the tet offensive

785
00:42:40,040 --> 00:42:43,680
Speaker 1: in Vietnam that we were losing the war? Well, thank

786
00:42:43,719 --> 00:42:45,560
Speaker 1: you very much, Larry for the interview, and I'm gonna

787
00:42:45,560 --> 00:42:53,120
Speaker 1: I'm gonna go and hung up. And in Bernie Goldberg's book,

788
00:42:53,160 --> 00:42:57,319
Speaker 1: he says he believed that if you submitted Dan Rather

789
00:42:57,440 --> 00:43:10,400
Speaker 1: and Peter Jennings and Walter Cronkite to a polygraph, they

790
00:43:10,400 --> 00:43:14,400
Speaker 1: would likely pass it because they don't believe that they

791
00:43:14,520 --> 00:43:16,600
Speaker 1: are liberal. They don't believe that the networks are left

792
00:43:16,600 --> 00:43:19,919
Speaker 1: wing that way. Poll at the poll at the poll

793
00:43:19,920 --> 00:43:24,480
Speaker 1: has shown even Democrats believe the media talking about legacy

794
00:43:24,520 --> 00:43:32,400
Speaker 1: media ABCNBCCBS, Tom Brokaw, Dan Rather, Peter Jennings, even democrats

795
00:43:32,400 --> 00:43:35,520
Speaker 1: believe that the media skews to the left. But these

796
00:43:35,560 --> 00:43:42,200
Speaker 1: guys did not. Media Research Center has analyzed the news

797
00:43:42,200 --> 00:43:45,000
Speaker 1: stories Trump one point oh, Trump two point zero again,

798
00:43:45,040 --> 00:43:49,680
Speaker 1: the nightly news, ABC, NBCCBS. They are diminished in their

799
00:43:49,800 --> 00:43:53,440
Speaker 1: importance number of people that view them, but they're still

800
00:43:54,080 --> 00:44:00,520
Speaker 1: big impact. Well over ninety percent of the news covering

801
00:44:00,640 --> 00:44:06,040
Speaker 1: Donald Trump has been negative. Despite the economy one Trump

802
00:44:06,040 --> 00:44:12,200
Speaker 1: one point zero the stripe, despite gas prices before the

803
00:44:12,239 --> 00:44:19,360
Speaker 1: war five year low, despite getting our allies to spend

804
00:44:19,360 --> 00:44:23,759
Speaker 1: five percent of their GDP when Presidents Obama and George W.

805
00:44:23,800 --> 00:44:25,640
Speaker 1: Bush complained they weren't even spending the two percent that

806
00:44:25,680 --> 00:44:30,240
Speaker 1: they had promised to spend. Despite Trump negotiating a release

807
00:44:30,280 --> 00:44:37,440
Speaker 1: of the hostages, and there remains Gaza, despite getting our

808
00:44:37,480 --> 00:44:42,120
Speaker 1: allies to pick up the tab for support for Ukraine. Bye,

809
00:44:42,160 --> 00:44:48,880
Speaker 1: all the peace deals he's done around the world, ninety

810
00:44:49,560 --> 00:44:59,879
Speaker 1: two four six percent of the news ABCNBCCBS negative. Give

811
00:45:00,040 --> 00:45:05,120
Speaker 1: an example of the cluelessness, This is Scott Pelley after

812
00:45:05,160 --> 00:45:07,520
Speaker 1: he got fired, Number thirty six.

813
00:45:09,760 --> 00:45:14,839
Speaker 17: What do you hope your departure does? What do you

814
00:45:15,000 --> 00:45:16,680
Speaker 17: hope will happen?

815
00:45:16,719 --> 00:45:16,959
Speaker 12: Now?

816
00:45:18,920 --> 00:45:25,120
Speaker 4: My hope is that the leadership of Paramount will say

817
00:45:25,120 --> 00:45:30,320
Speaker 4: to themselves, Okay, this isn't working. We have respected journalists

818
00:45:30,400 --> 00:45:33,280
Speaker 4: saying that there is a thumb on the scale for

819
00:45:33,640 --> 00:45:38,920
Speaker 4: one political party over another, and there's a subtle political

820
00:45:38,960 --> 00:45:43,040
Speaker 4: bias that I've never seen. At sixty months before or

821
00:45:43,080 --> 00:45:52,239
Speaker 4: at CBS News before we can save this it's possible

822
00:45:52,960 --> 00:45:59,560
Speaker 4: to land this plane. But right now, CBS News, in

823
00:45:59,600 --> 00:46:03,279
Speaker 4: my view, is on fire a.

824
00:46:03,560 --> 00:46:08,680
Speaker 1: Subtle bias that I've never seen a sixty minutes or

825
00:46:08,719 --> 00:46:17,160
Speaker 1: at CBS. Are you kidding me? So many examples. You

826
00:46:17,160 --> 00:46:23,440
Speaker 1: ever notice how when a conservative is quoted or conservative

827
00:46:23,440 --> 00:46:26,000
Speaker 1: thing tank is quoted, they refer to it as a

828
00:46:26,000 --> 00:46:32,120
Speaker 1: conservative or conservative thing tank. But for example, the Brooklyn's

829
00:46:32,120 --> 00:46:37,120
Speaker 1: Institution is just a Brookings institution. I cannot tell you

830
00:46:37,120 --> 00:46:39,359
Speaker 1: how many times I was referred to as a conservative

831
00:46:39,800 --> 00:46:45,120
Speaker 1: talk show host when I ran for governor and I am,

832
00:46:45,120 --> 00:46:48,960
Speaker 1: but no adjective in front of Gavin Newsom. He's not

833
00:46:49,000 --> 00:46:54,960
Speaker 1: a liberal. Somebody who believes that publicly held corporation the

834
00:46:54,960 --> 00:46:58,840
Speaker 1: California should have somebody from the quote Disadvantage Community LGBDQ

835
00:46:59,560 --> 00:47:03,360
Speaker 1: on their order directors. That doesn't make you a liberal.

836
00:47:04,680 --> 00:47:06,680
Speaker 1: Somebody signed the bill to set up a panel for

837
00:47:07,360 --> 00:47:11,120
Speaker 1: reparations for descendants of slaves in California, even though California

838
00:47:11,160 --> 00:47:14,600
Speaker 1: was not a slave state. That's not a liberal. Somebody

839
00:47:14,600 --> 00:47:18,000
Speaker 1: who believes that climate change is a bigger existential threat

840
00:47:18,040 --> 00:47:20,560
Speaker 1: than even Joe Biden and wanted to ban the sale

841
00:47:20,560 --> 00:47:23,040
Speaker 1: of gas powered cars by the year twenty thirty five,

842
00:47:23,080 --> 00:47:28,239
Speaker 1: that's not a liberal. Somebody who wants single payer until

843
00:47:28,280 --> 00:47:30,719
Speaker 1: he found out how much it's going to cost, that's

844
00:47:30,719 --> 00:47:35,880
Speaker 1: not a liberal. Somebody wants health care for illegal aliens,

845
00:47:36,600 --> 00:47:40,120
Speaker 1: that's not a liberal. What has this man done or

846
00:47:40,239 --> 00:47:43,440
Speaker 1: said that makes him anything other than a liberal or progressive?

847
00:47:44,880 --> 00:47:47,600
Speaker 1: Won't even say whether or not he thinks biological men

848
00:47:48,200 --> 00:47:52,680
Speaker 1: shouldn't compete against biological women. But not referred to as

849
00:47:52,719 --> 00:47:57,080
Speaker 1: a liberal or left wing or progressive by the mainscream media.

850
00:48:00,560 --> 00:48:02,839
Speaker 1: Years ago, I did a search when we did things

851
00:48:02,880 --> 00:48:06,680
Speaker 1: with Lexus Nexus now is done with AI. Just the

852
00:48:06,800 --> 00:48:10,080
Speaker 1: La Times. How many times they referred to a conservative

853
00:48:10,120 --> 00:48:13,040
Speaker 1: as a staunch conservative and over a period of time

854
00:48:13,120 --> 00:48:16,879
Speaker 1: was a bunch of times. And then you know where

855
00:48:16,880 --> 00:48:19,359
Speaker 1: I'm going with this. How many times did the La

856
00:48:19,440 --> 00:48:22,600
Speaker 1: Times refer to somebody like Maxine Waters as a staunch

857
00:48:22,680 --> 00:48:24,919
Speaker 1: liberal over the same period of time?

858
00:48:25,040 --> 00:48:25,239
Speaker 4: Never?

859
00:48:25,320 --> 00:48:31,560
Speaker 1: None, So the term staunch conservative routinely is used, staunch

860
00:48:31,600 --> 00:48:38,080
Speaker 1: liberal not used. And then of course it's what they

861
00:48:38,360 --> 00:48:45,200
Speaker 1: don't cover, things that they don't care about, points of

862
00:48:45,239 --> 00:48:51,480
Speaker 1: view that they don't care about, and Scott Pelley says,

863
00:48:51,560 --> 00:48:56,279
Speaker 1: I've never seen a bias at CBS. So you think

864
00:48:56,320 --> 00:49:00,000
Speaker 1: the immediate research center looked at all these stories overall,

865
00:49:00,000 --> 00:49:05,160
Speaker 1: all these years covering Donald Trump, and since about ninety five,

866
00:49:05,239 --> 00:49:07,200
Speaker 1: ninety six percent of your stories having to do with

867
00:49:07,239 --> 00:49:09,920
Speaker 1: Donald Trump and news are negative. You think they're just

868
00:49:09,960 --> 00:49:15,960
Speaker 1: full of it. And the perception overwhelmingly of even Democrats

869
00:49:16,239 --> 00:49:18,239
Speaker 1: more than half believed the media excuse to the left,

870
00:49:18,280 --> 00:49:23,880
Speaker 1: that's just BS. There's a book called left Urn came

871
00:49:23,920 --> 00:49:29,000
Speaker 1: out several years ago. My friend of mine, Professor grows Close,

872
00:49:29,239 --> 00:49:33,720
Speaker 1: used to be at UCLA, now he's at George Mason.

873
00:49:36,520 --> 00:49:38,720
Speaker 1: He looked at what were then the top ten sources

874
00:49:38,719 --> 00:49:42,919
Speaker 1: of news for most people. Eighteen of them were left

875
00:49:42,960 --> 00:49:46,200
Speaker 1: wing on the two of them were to the right,

876
00:49:48,120 --> 00:49:53,920
Speaker 1: Washington Times and Fox News Report by Brett Baher, even

877
00:49:53,960 --> 00:49:55,879
Speaker 1: the Wall Street Journal the news part was as left

878
00:49:55,880 --> 00:50:00,520
Speaker 1: wing as the La Times, not its editorial page. And

879
00:50:00,560 --> 00:50:02,520
Speaker 1: he came up with some sort of formula to find

880
00:50:02,520 --> 00:50:08,920
Speaker 1: out what impact it had on how people vote. Any conclusion,

881
00:50:09,520 --> 00:50:13,839
Speaker 1: if the media were truly fair and balanced, they would

882
00:50:13,840 --> 00:50:15,880
Speaker 1: most states with vote the way Texas does, which is

883
00:50:15,920 --> 00:50:22,200
Speaker 1: ten points four Republicans Triple eight ninety seven one Sage

884
00:50:22,280 --> 00:50:24,279
Speaker 1: Triple eight nine seven one seven two fourty three. I

885
00:50:24,360 --> 00:50:27,040
Speaker 1: am Larry Elder. We are a Saldom News channel. Again,

886
00:50:27,080 --> 00:50:29,040
Speaker 1: I want to thank you so much for stepping up

887
00:50:29,080 --> 00:50:32,680
Speaker 1: from my Angel Treat Camp campaign. The goal was to

888
00:50:32,760 --> 00:50:34,960
Speaker 1: raise enough money to send one hundred and sixty two

889
00:50:35,080 --> 00:50:37,920
Speaker 1: kids with a mom or dad behind bars to an

890
00:50:37,920 --> 00:50:41,800
Speaker 1: Angel Tree camp this summer. We raised enough to send

891
00:50:41,880 --> 00:50:44,879
Speaker 1: four hundred and thirty nine. So I want to thank

892
00:50:44,920 --> 00:50:47,360
Speaker 1: you so very much. If you still want to step

893
00:50:47,440 --> 00:50:50,040
Speaker 1: up and go to my website Larryelder dot com, Angel

894
00:50:50,040 --> 00:50:52,880
Speaker 1: Tree Camp banner at the very top, or you can

895
00:50:52,920 --> 00:51:05,640
Speaker 1: phone it in Triple eight to eight. Again, thank you

896
00:51:05,719 --> 00:51:10,759
Speaker 1: so much. President Trump angry at Kristen Welker of NBC News.

897
00:51:10,760 --> 00:51:12,040
Speaker 1: Here's what happened, number thirty two.

898
00:51:15,680 --> 00:51:16,880
Speaker 5: It was a dirty election.

899
00:51:17,040 --> 00:51:21,560
Speaker 18: This is happening again right now in California. Happening right

900
00:51:21,800 --> 00:51:25,319
Speaker 18: now in California, right now, it's looking look at what's

901
00:51:25,320 --> 00:51:30,799
Speaker 18: happened in California. It's days in California. It's no, they're

902
00:51:30,840 --> 00:51:33,520
Speaker 18: not there. They're dropping fast because it's a rigged election.

903
00:51:33,640 --> 00:51:37,280
Speaker 18: Let me tell you it's four days and they aren't

904
00:51:37,280 --> 00:51:39,640
Speaker 18: even close to coming up with it. You know why

905
00:51:39,640 --> 00:51:40,920
Speaker 18: they're doing that, because they're.

906
00:51:40,840 --> 00:51:41,680
Speaker 5: Cheating on the election.

907
00:51:41,880 --> 00:51:43,120
Speaker 11: There, what do you have evidence?

908
00:51:44,040 --> 00:51:46,080
Speaker 5: We'll have to do us. Look all have to do us.

909
00:51:46,880 --> 00:51:49,680
Speaker 18: I listen and I listen to people, and let's.

910
00:51:49,440 --> 00:51:51,160
Speaker 11: See what happens that's not evident.

911
00:51:51,239 --> 00:51:54,319
Speaker 18: Do you think it's appropriate they vot? Do you think

912
00:51:54,360 --> 00:51:57,840
Speaker 18: it's appropriate that they have an election and five days

913
00:51:57,920 --> 00:51:59,759
Speaker 18: later they're nowhere close to picking in?

914
00:52:00,040 --> 00:52:02,960
Speaker 11: Local officials acknowledge they are slow. They're urging.

915
00:52:03,120 --> 00:52:03,640
Speaker 5: They're crooked.

916
00:52:03,640 --> 00:52:05,600
Speaker 11: They're urging the votes to be counted quickly.

917
00:52:05,600 --> 00:52:08,160
Speaker 18: That's how they very crooked, just like your crooked. Your

918
00:52:08,160 --> 00:52:10,320
Speaker 18: press is crooked, and meet the press crooked.

919
00:52:10,440 --> 00:52:11,920
Speaker 11: To be fair, I'm not crooked, but.

920
00:52:12,160 --> 00:52:14,960
Speaker 18: Really, where you play right into their hands out you're

921
00:52:15,000 --> 00:52:17,920
Speaker 18: either crooked or you're stupid. You play right into their

922
00:52:17,960 --> 00:52:22,280
Speaker 18: hands with this rerap. You know that these elections are rigged.

923
00:52:22,680 --> 00:52:26,600
Speaker 18: Your network knows that they're rigged. You know that I

924
00:52:26,680 --> 00:52:29,920
Speaker 18: won an election in a landslide and I got ninety

925
00:52:30,000 --> 00:52:30,600
Speaker 18: four percent.

926
00:52:30,760 --> 00:52:32,000
Speaker 5: Bad press.

927
00:52:32,160 --> 00:52:34,000
Speaker 18: You know why I got that presented because you have

928
00:52:34,000 --> 00:52:35,520
Speaker 18: no credibility.

929
00:52:34,920 --> 00:52:37,319
Speaker 11: But you've never presented evidence it was rigged. Let's keep

930
00:52:37,320 --> 00:52:38,560
Speaker 11: talking about I want to talk about Tom.

931
00:52:38,680 --> 00:52:39,800
Speaker 5: You have more evidence.

932
00:52:39,920 --> 00:52:44,759
Speaker 18: There's more evidence than ever presented. Let's talk your elections

933
00:52:44,800 --> 00:52:45,560
Speaker 18: in this country.

934
00:52:45,600 --> 00:52:47,200
Speaker 5: We're like a third world country.

935
00:52:47,600 --> 00:52:50,759
Speaker 18: Your elections are crooked, and your crooked and read the

936
00:52:50,800 --> 00:52:55,800
Speaker 18: press is crooked, and so is ABC and CBS and CNN,

937
00:52:56,520 --> 00:52:57,040
Speaker 18: your one.

938
00:52:57,000 --> 00:53:02,320
Speaker 5: Sided crooked networks. Right, let's call it questions because I've president.

939
00:53:02,400 --> 00:53:04,960
Speaker 11: Let's please, I traveled all the way to Wisconsin.

940
00:53:05,360 --> 00:53:11,040
Speaker 5: I've traveling, I know, on and off in the range,

941
00:53:11,200 --> 00:53:12,520
Speaker 5: and I've given you enough time.

942
00:53:12,920 --> 00:53:15,040
Speaker 18: You want to straighten out your press, because you know what,

943
00:53:15,600 --> 00:53:17,120
Speaker 18: the country can never be great.

944
00:53:17,280 --> 00:53:20,719
Speaker 11: Travel traveled all the way to Wisconsin.

945
00:53:21,400 --> 00:53:25,799
Speaker 1: The Mark is in Los Angeles. Mark, always nice to

946
00:53:25,800 --> 00:53:27,000
Speaker 1: hear for you. Thank you so much for calling. I

947
00:53:27,040 --> 00:53:27,640
Speaker 1: appreciate it.

948
00:53:28,760 --> 00:53:32,120
Speaker 19: Oh, Larry another I'm sure you won't look at it

949
00:53:32,120 --> 00:53:37,839
Speaker 19: this way. Another embarrassment by Donald Trump, the five year

950
00:53:37,880 --> 00:53:42,839
Speaker 19: old who, when he's pushed to give evidence, can so

951
00:53:43,000 --> 00:53:43,799
Speaker 19: what does he do?

952
00:53:43,960 --> 00:53:44,480
Speaker 11: Larry?

953
00:53:44,960 --> 00:53:48,680
Speaker 19: Come on, we can say together. He gets nasty, rude

954
00:53:49,040 --> 00:53:55,239
Speaker 19: and mean. When she asked him for evidence, his response was,

955
00:53:55,800 --> 00:53:57,680
Speaker 19: you know, you know.

956
00:53:59,120 --> 00:54:00,640
Speaker 5: People have told me I.

957
00:54:00,520 --> 00:54:04,520
Speaker 19: Could tell you anything, Larry. That wouldn't make it a fact?

958
00:54:04,920 --> 00:54:08,520
Speaker 19: Does Donald Trump actually think for himself, Larry, and let

959
00:54:08,560 --> 00:54:09,880
Speaker 19: me ask you a quick question.

960
00:54:10,120 --> 00:54:11,600
Speaker 1: You asked me a number of questions. Let me know

961
00:54:11,600 --> 00:54:13,560
Speaker 1: when I can answer one of them.

962
00:54:13,800 --> 00:54:17,279
Speaker 19: Okay, just one more question. First of all, before you

963
00:54:17,360 --> 00:54:20,400
Speaker 19: go in your tangent and say I don't like the

964
00:54:20,440 --> 00:54:24,080
Speaker 19: way California elections are run, that they need to be quicker,

965
00:54:24,320 --> 00:54:27,040
Speaker 19: So I agree with that. You don't have to bring

966
00:54:27,040 --> 00:54:30,759
Speaker 19: that up. However, if Donald Trump is saying the elections

967
00:54:30,800 --> 00:54:36,600
Speaker 19: are rigged in California, he can't have it both ways, right.

968
00:54:36,880 --> 00:54:41,720
Speaker 19: He's saying about the Pratt is now in third place,

969
00:54:42,400 --> 00:54:47,719
Speaker 19: but if they were rigged, Kilton would be losing. So

970
00:54:47,960 --> 00:54:51,120
Speaker 19: does that mean that the Republicans are cheating Larry? Or

971
00:54:51,160 --> 00:54:54,480
Speaker 19: does Trump don't even think what he talks or talk

972
00:54:54,600 --> 00:54:56,600
Speaker 19: doesn't know what he talks about.

973
00:54:57,080 --> 00:55:01,919
Speaker 1: Okay, markt go ahead, thank you. I think the big

974
00:55:01,960 --> 00:55:04,120
Speaker 1: takeaway is that Donald Trump is angry at what he

975
00:55:04,120 --> 00:55:07,040
Speaker 1: considers to be a biased media. That's what he was

976
00:55:07,080 --> 00:55:09,840
Speaker 1: angry about. Do you agree that the media is biased

977
00:55:09,840 --> 00:55:12,320
Speaker 1: against Democrats, against Republicans and against Donald Trump?

978
00:55:13,920 --> 00:55:18,120
Speaker 19: If you would agree that uh, Fox and Newsmax are

979
00:55:18,160 --> 00:55:21,680
Speaker 19: exactly the same way towards Democrats, yes, I would.

980
00:55:21,920 --> 00:55:26,080
Speaker 1: Okay, I absolutely, I absolutely do agree that Fox News

981
00:55:26,120 --> 00:55:29,240
Speaker 1: is biased in favor of Republicans. I actually do agree

982
00:55:29,280 --> 00:55:31,759
Speaker 1: that News Max is biased in favor of Republicans. Do

983
00:55:31,800 --> 00:55:36,560
Speaker 1: you believe ABC, NBC, CBS, CNN, what I call BS now, NPR,

984
00:55:36,719 --> 00:55:39,799
Speaker 1: PBS are all biased against Republicans.

985
00:55:40,880 --> 00:55:43,880
Speaker 19: To a degree, but not as much as Fox?

986
00:55:44,000 --> 00:55:46,880
Speaker 1: And Okay, okay, well, I'm happy. I'm happy you feel

987
00:55:46,880 --> 00:55:49,400
Speaker 1: that way. Now, do you also agree that the primary

988
00:55:49,440 --> 00:55:54,040
Speaker 1: source of most people is left wing news? Abc, NBC, CBS, CNN,

989
00:55:54,280 --> 00:55:55,600
Speaker 1: all the ones I just now mentioned.

990
00:55:57,040 --> 00:56:00,399
Speaker 19: Well, but if you're if we're going with statistics, isn't

991
00:56:00,480 --> 00:56:02,440
Speaker 19: Fox the highest rated news channel?

992
00:56:02,800 --> 00:56:05,640
Speaker 1: If you add up the highest rated program on Fox,

993
00:56:05,680 --> 00:56:08,879
Speaker 1: which is the five, probably about two and a half

994
00:56:08,960 --> 00:56:12,600
Speaker 1: maybe three million people. You look at ABC, NBC, CBS

995
00:56:12,640 --> 00:56:15,239
Speaker 1: added up collectively, that's over thirty five million. It's not

996
00:56:15,239 --> 00:56:19,759
Speaker 1: even close. Their highest rated show isn't even close to

997
00:56:19,800 --> 00:56:24,240
Speaker 1: the highest rated NBC, CBS in ABC Nightly News broadcast,

998
00:56:24,320 --> 00:56:26,640
Speaker 1: not even close, let alone when you combine them. My

999
00:56:26,960 --> 00:56:29,480
Speaker 1: point is, the impact of left wing media is far

1000
00:56:29,560 --> 00:56:31,480
Speaker 1: greater than the impact of right wing media, and that's

1001
00:56:31,520 --> 00:56:35,000
Speaker 1: not even close. Mark, Okay, and so and so and

1002
00:56:35,080 --> 00:56:37,160
Speaker 1: so and so, when when when hold on me, just

1003
00:56:37,200 --> 00:56:38,719
Speaker 1: let me just go, let me add one more, thank you.

1004
00:56:39,120 --> 00:56:41,160
Speaker 1: When you look at Media Research Center that's looked at

1005
00:56:41,160 --> 00:56:44,920
Speaker 1: all these programs, ABC, NBCCBS for the last ten years,

1006
00:56:45,000 --> 00:56:47,520
Speaker 1: and they come up with ninety five ninety six percent

1007
00:56:47,560 --> 00:56:50,239
Speaker 1: of the news is negative against Donald Trump. This is

1008
00:56:50,280 --> 00:56:52,920
Speaker 1: why he's angry because it has an effect on how

1009
00:56:52,960 --> 00:56:56,879
Speaker 1: people see things.

1010
00:56:56,880 --> 00:57:02,719
Speaker 19: Well, I would say that that's exaggerated, and it's not

1011
00:57:02,920 --> 00:57:08,480
Speaker 19: all bad news. The most of it is or a lie.

1012
00:57:08,880 --> 00:57:12,480
Speaker 19: But you still have not answered my question, which he

1013
00:57:12,760 --> 00:57:16,120
Speaker 19: was pressed. He was pressed on two things, and he

1014
00:57:16,120 --> 00:57:19,200
Speaker 19: couldn't killbaum with an answer. Just this was his He

1015
00:57:19,280 --> 00:57:22,320
Speaker 19: must have said a four times, there's plenty.

1016
00:57:22,480 --> 00:57:24,080
Speaker 1: I have, I have a I have a couple, a

1017
00:57:24,080 --> 00:57:26,960
Speaker 1: couple of things about that. You're not wrong. He could

1018
00:57:27,000 --> 00:57:28,760
Speaker 1: have said different things. He could have said there, well,

1019
00:57:29,080 --> 00:57:31,240
Speaker 1: there's an estimated eight hundred thousand people on the voting

1020
00:57:31,280 --> 00:57:33,520
Speaker 1: roles in California of dead people are people who haven't

1021
00:57:34,080 --> 00:57:35,800
Speaker 1: who've moved away, and they haven't cleaned that up. He

1022
00:57:35,800 --> 00:57:38,800
Speaker 1: could have said that. He could have. He could he

1023
00:57:38,800 --> 00:57:40,600
Speaker 1: could have he could have He could have said the

1024
00:57:40,680 --> 00:57:44,480
Speaker 1: carter Commission of Carter Baker Commission said that ballot harvesting

1025
00:57:44,520 --> 00:57:47,400
Speaker 1: should be outlawed in California's perfectly legal. He could have

1026
00:57:47,440 --> 00:57:50,480
Speaker 1: said that, but let me let me just one more

1027
00:57:50,520 --> 00:57:54,320
Speaker 1: thing before you go, Mark, this is uh Barack Obama.

1028
00:57:54,360 --> 00:57:57,880
Speaker 1: According to Ann Compton, the retired reporter at ABC News,

1029
00:57:57,920 --> 00:57:59,080
Speaker 1: play number thirty seven.

1030
00:57:58,920 --> 00:58:04,520
Speaker 20: For Mark, I have seen in the last year Barack

1031
00:58:04,560 --> 00:58:06,920
Speaker 20: Obama really angry twice.

1032
00:58:07,000 --> 00:58:08,120
Speaker 11: Both were off the record.

1033
00:58:08,640 --> 00:58:14,480
Speaker 20: Times one profanity least where he thought the press was

1034
00:58:14,560 --> 00:58:17,760
Speaker 20: making too much of scandals that he didn't think were scandals.

1035
00:58:18,200 --> 00:58:23,000
Speaker 20: Another where he took us to task for not understanding

1036
00:58:23,600 --> 00:58:26,040
Speaker 20: the limits he has with foreign policy and the way

1037
00:58:26,080 --> 00:58:29,640
Speaker 20: he's dealing with the Middle East and Iraq and Afghanistan.

1038
00:58:30,360 --> 00:58:34,280
Speaker 20: And I don't find him apologetic, but I find him

1039
00:58:34,640 --> 00:58:36,440
Speaker 20: willing to stand up the press and look him in

1040
00:58:36,480 --> 00:58:38,280
Speaker 20: the eye, even though it was off the record, and

1041
00:58:38,480 --> 00:58:39,360
Speaker 20: just give us hell.

1042
00:58:40,240 --> 00:58:41,480
Speaker 4: Does he have a point.

1043
00:58:42,920 --> 00:58:44,080
Speaker 20: From his point of view?

1044
00:58:44,160 --> 00:58:46,400
Speaker 1: He may, Mark, don't go away. We'll talk about this

1045
00:58:46,440 --> 00:58:48,040
Speaker 1: on the other side, Okay, Mark, don't go away.

1046
00:58:51,080 --> 00:58:55,360
Speaker 2: Oh no, oh no, no.

1047
00:58:57,680 --> 00:59:02,240
Speaker 20: I have seen in the last year Barack Obama really

1048
00:59:02,320 --> 00:59:03,360
Speaker 20: angry twice.

1049
00:59:03,480 --> 00:59:04,760
Speaker 2: Both were off the record.

1050
00:59:05,120 --> 00:59:10,960
Speaker 20: Times one profanity least where he thought the press was

1051
00:59:11,040 --> 00:59:14,200
Speaker 20: making too much of scandals that he didn't think were scandals.

1052
00:59:14,680 --> 00:59:19,480
Speaker 20: Another where he took us to task for not understanding

1053
00:59:20,080 --> 00:59:22,520
Speaker 20: the limits he has with foreign policy and the way

1054
00:59:22,560 --> 00:59:26,120
Speaker 20: he's dealing with the Middle East and Iraq and Afghanistan.

1055
00:59:26,840 --> 00:59:31,080
Speaker 20: And I don't find him apologetic, but I find him

1056
00:59:31,120 --> 00:59:32,960
Speaker 20: willing to stand up the press and look him in

1057
00:59:32,960 --> 00:59:34,800
Speaker 20: the eye even though it was off the record, and

1058
00:59:34,920 --> 00:59:35,840
Speaker 20: just give us hell.

1059
00:59:36,720 --> 00:59:37,760
Speaker 4: Does he have a point.

1060
00:59:39,360 --> 00:59:42,680
Speaker 20: From his point of view, he may, but we cover

1061
00:59:43,440 --> 00:59:47,440
Speaker 20: what we are allowed to cover, and when policy decisions

1062
00:59:47,520 --> 00:59:51,200
Speaker 20: and presidents are inaccessible and don't take questions from the

1063
00:59:51,200 --> 00:59:53,960
Speaker 20: press on a regular basis, I think they get what

1064
00:59:54,000 --> 00:59:54,960
Speaker 20: they reap what they show.

1065
00:59:56,680 --> 01:00:00,000
Speaker 1: Triple eight nine seven one, Triple eight nine seven one

1066
01:00:00,040 --> 01:00:02,520
Speaker 1: two four three. I am Larry Elder. We are Saling

1067
01:00:02,600 --> 01:00:04,920
Speaker 1: NewsChannel back to Mark from la Mark. Thank you very

1068
01:00:04,960 --> 01:00:07,560
Speaker 1: much for holding on. I appreciate it. Mark, Before you

1069
01:00:07,640 --> 01:00:11,000
Speaker 1: respond the reason I play the reason I play that is,

1070
01:00:11,080 --> 01:00:13,920
Speaker 1: you have already agreed and I agree that the media

1071
01:00:14,160 --> 01:00:17,560
Speaker 1: is biased, or at least ABC, NBCCBS is biased in

1072
01:00:17,600 --> 01:00:21,680
Speaker 1: favor of Democrats and against Republicans. So here Obama is

1073
01:00:22,000 --> 01:00:24,600
Speaker 1: who has gotten probably the best press I've ever seen

1074
01:00:24,640 --> 01:00:27,000
Speaker 1: a president get angry that he thought he was being

1075
01:00:27,080 --> 01:00:32,360
Speaker 1: covered unfairly. Imagine how Donald Trump feels. Also, this was

1076
01:00:32,480 --> 01:00:36,240
Speaker 1: off the record, profanity laced. Trump didn't use profanity, and

1077
01:00:36,280 --> 01:00:38,440
Speaker 1: he was on the record. So if anything you can

1078
01:00:38,480 --> 01:00:40,800
Speaker 1: say at least President Trump was honest, Baba does it

1079
01:00:40,800 --> 01:00:43,360
Speaker 1: behind people's backs and does it off the record.

1080
01:00:44,000 --> 01:00:44,600
Speaker 3: And there's a.

1081
01:00:44,520 --> 01:00:50,080
Speaker 1: Reason that, in my opinion, people who are Democrats are

1082
01:00:50,080 --> 01:00:52,240
Speaker 1: eight times more likely to say the economy is poor

1083
01:00:52,360 --> 01:00:54,520
Speaker 1: than Republicans. It's not that they're stupid, it's that they

1084
01:00:54,560 --> 01:00:58,640
Speaker 1: watch this news and it's relentless negative, negative negative. Gas

1085
01:00:58,640 --> 01:01:03,200
Speaker 1: prices were higher under under Joe Biden. Inflation was higher

1086
01:01:03,240 --> 01:01:05,400
Speaker 1: under Joe Biden. But that's not the impression that you

1087
01:01:05,400 --> 01:01:07,600
Speaker 1: get if you watch the nightly news. That's why people

1088
01:01:07,640 --> 01:01:09,280
Speaker 1: on the left think things are worse than in fact

1089
01:01:09,320 --> 01:01:09,680
Speaker 1: they are.

1090
01:01:09,920 --> 01:01:15,160
Speaker 19: Now please respond, Oh, first of all, Trump, I mean

1091
01:01:15,320 --> 01:01:18,680
Speaker 19: Obama is not perfect. I never claimed he was perfectly.

1092
01:01:18,360 --> 01:01:20,160
Speaker 1: Not talking about it and being perfect. We're talking about

1093
01:01:20,200 --> 01:01:22,680
Speaker 1: him being angry at the coverage that he's gotten when

1094
01:01:22,960 --> 01:01:27,560
Speaker 1: his coverage was overwhelmingly positive. Even you admit that ABC, CBS,

1095
01:01:27,640 --> 01:01:30,160
Speaker 1: NBC are biased in favor of Democrats. This guy got

1096
01:01:30,160 --> 01:01:33,360
Speaker 1: great coverage and he was still upset. Imagine getting bad coverage.

1097
01:01:33,440 --> 01:01:35,200
Speaker 1: Of course, Donald Trump is gonna be angry, and it's

1098
01:01:35,200 --> 01:01:38,760
Speaker 1: about time somebody got angry.

1099
01:01:38,920 --> 01:01:45,480
Speaker 19: Well, I think it's a little different, Larry. But Larry,

1100
01:01:45,480 --> 01:01:49,160
Speaker 19: you still didn't answer my questions, which is what So

1101
01:01:49,920 --> 01:01:54,080
Speaker 19: even Steve Hilton, who I despise, has come out and

1102
01:01:54,120 --> 01:01:58,000
Speaker 19: said he's upset that the election is taking so long.

1103
01:01:58,920 --> 01:02:01,720
Speaker 19: So he can't be a liar and Trump not be

1104
01:02:01,800 --> 01:02:03,720
Speaker 19: a liar, or somebody has to be a liar. He

1105
01:02:04,080 --> 01:02:07,640
Speaker 19: said he has seen no signs of frauds. So is

1106
01:02:07,680 --> 01:02:10,120
Speaker 19: he lying or Donald Trump's lying.

1107
01:02:10,280 --> 01:02:14,120
Speaker 1: Again again again, Mark, I agree with you. If I

1108
01:02:14,160 --> 01:02:16,160
Speaker 1: were President Trump, I would have given a different answer.

1109
01:02:16,160 --> 01:02:18,040
Speaker 1: I would have said, here's what bothers me. What bothers

1110
01:02:18,080 --> 01:02:19,919
Speaker 1: me is the fact that you got voting roles where

1111
01:02:19,920 --> 01:02:22,680
Speaker 1: there are eight hundred thousand people according to the DOJ,

1112
01:02:22,880 --> 01:02:25,040
Speaker 1: who are dead or who've moved away. You haven't cleaned

1113
01:02:25,040 --> 01:02:26,920
Speaker 1: it up. And also you have a practice that the

1114
01:02:26,960 --> 01:02:29,680
Speaker 1: Carter Baker commissions that should be outlawed, which is called

1115
01:02:29,720 --> 01:02:32,920
Speaker 1: ballot harvesting. That's a potential for fraud. If I were

1116
01:02:32,920 --> 01:02:34,840
Speaker 1: Donald Trump, I would have said that. But the bottom

1117
01:02:34,880 --> 01:02:37,360
Speaker 1: line is he's angry again at the coverage. That's why

1118
01:02:37,360 --> 01:02:39,600
Speaker 1: he said, you're a crooked, You're a biased and he

1119
01:02:39,640 --> 01:02:42,479
Speaker 1: said the other networks are biased. It clearly, it's clear

1120
01:02:42,520 --> 01:02:44,480
Speaker 1: that they are. And not only is it biased, it's

1121
01:02:44,520 --> 01:02:46,200
Speaker 1: having an effect on how people vote. That's why I

1122
01:02:46,240 --> 01:02:49,360
Speaker 1: mentioned that book called Left Turn by Professor Grose Clothes.

1123
01:02:49,400 --> 01:02:51,200
Speaker 1: He said, if the media were truly fair and balance

1124
01:02:51,280 --> 01:02:54,160
Speaker 1: mark the average state would vote the way Texas Dutch,

1125
01:02:54,160 --> 01:02:56,800
Speaker 1: which is ten points in favor of Republican because the

1126
01:02:56,800 --> 01:02:59,240
Speaker 1: news has an effect on how people see the world,

1127
01:02:59,480 --> 01:03:02,040
Speaker 1: how people perceive the world, and therefore how they vote.

1128
01:03:03,920 --> 01:03:06,960
Speaker 19: And you don't think I've been in Texas quite a

1129
01:03:07,000 --> 01:03:11,040
Speaker 19: bit and you don't think the news and Texas is

1130
01:03:11,120 --> 01:03:15,680
Speaker 19: extremely biased towards Republicans, then you better go watch the

1131
01:03:15,720 --> 01:03:20,760
Speaker 19: network news in the state of Texas and the local news.

1132
01:03:20,800 --> 01:03:25,760
Speaker 1: Well I'm talking about I'm talking about network news, ABC, NBCCBS,

1133
01:03:25,920 --> 01:03:29,640
Speaker 1: LA Times, Los Angeles Times, Chicago Tribune. I can go

1134
01:03:29,680 --> 01:03:31,720
Speaker 1: down the list again. This book came out a few

1135
01:03:31,760 --> 01:03:34,280
Speaker 1: years ago. It listed the top twenty sources of news

1136
01:03:34,560 --> 01:03:36,480
Speaker 1: eighteen of them were left wing, only two of them

1137
01:03:36,520 --> 01:03:38,600
Speaker 1: were right wing. So if the majority of Americans are

1138
01:03:38,600 --> 01:03:41,040
Speaker 1: getting their news from left wing sources, it's going to

1139
01:03:41,040 --> 01:03:44,640
Speaker 1: have a disapportionately bad effect on Republicans and on Donald Trump.

1140
01:03:44,720 --> 01:03:47,040
Speaker 1: That's why he's angry. And again, Mark, I think it's

1141
01:03:47,080 --> 01:03:49,440
Speaker 1: about time a president exploded. At least he did it

1142
01:03:49,480 --> 01:03:51,720
Speaker 1: on the record and didn't do it behind closed doors

1143
01:03:51,760 --> 01:03:52,840
Speaker 1: way Obama did.

1144
01:03:54,800 --> 01:03:57,960
Speaker 19: So, right, So this is probably how he acts with

1145
01:03:58,080 --> 01:03:59,880
Speaker 19: diplomats presently.

1146
01:04:00,760 --> 01:04:03,000
Speaker 1: Well, now you're changing the subject. I'm gonna, I'm gonna,

1147
01:04:03,000 --> 01:04:03,640
Speaker 1: I'm gonna move on.

1148
01:04:03,720 --> 01:04:03,919
Speaker 21: Mark.

1149
01:04:03,920 --> 01:04:06,880
Speaker 1: Again, it's always I really do appreciate or your calling.

1150
01:04:06,920 --> 01:04:11,680
Speaker 1: But you heard the point. You've acknowledged that ABC, NBCCBS

1151
01:04:11,800 --> 01:04:15,440
Speaker 1: is left wing. You've acknowledged it. It's also important to

1152
01:04:15,440 --> 01:04:17,840
Speaker 1: acknowledge it has a disapportant impact on how people see

1153
01:04:17,840 --> 01:04:20,840
Speaker 1: things because that's how most Americans get their news. And

1154
01:04:20,880 --> 01:04:23,640
Speaker 1: now most Americans get their news through these so called aggregates,

1155
01:04:25,080 --> 01:04:33,120
Speaker 1: and that's Microsoft, Apple, Google, Yahoo, YouTube, and TikTok, and

1156
01:04:33,200 --> 01:04:37,240
Speaker 1: studies have shown overwhelmingly they select news that is left wing.

1157
01:04:38,160 --> 01:04:42,480
Speaker 1: That's how people are getting their news, and that affects

1158
01:04:42,480 --> 01:04:47,000
Speaker 1: how they think now. Whether you're preparing for exams, juggling

1159
01:04:47,240 --> 01:04:49,840
Speaker 1: family and career, or just looking to stay sharp as

1160
01:04:49,840 --> 01:04:53,560
Speaker 1: you age, think Factor is here to help. Created by

1161
01:04:53,560 --> 01:04:56,560
Speaker 1: the same company that makes Relief Factor, think Factor supports

1162
01:04:56,600 --> 01:05:01,480
Speaker 1: sharper focus, stronger recall, and clear thinking. It's a natural

1163
01:05:01,480 --> 01:05:03,960
Speaker 1: way to give your brain the daily nutrients it needs

1164
01:05:03,960 --> 01:05:09,720
Speaker 1: for memory, attention, and even vibrant vision. I take think

1165
01:05:09,840 --> 01:05:13,520
Speaker 1: Factor every single day. It helps me with my show prep.

1166
01:05:13,840 --> 01:05:16,120
Speaker 1: I'm up usually at five o'clock in the morning, sometimes

1167
01:05:16,160 --> 01:05:19,960
Speaker 1: even earlier. Helps with retention. If you want to stay

1168
01:05:20,000 --> 01:05:22,880
Speaker 1: focused during demanding tasks, keep your memory strong and maintain

1169
01:05:22,920 --> 01:05:26,320
Speaker 1: mental energy for whatever head, think Factor is for you.

1170
01:05:26,320 --> 01:05:29,040
Speaker 1: Called eight hundred four relief eight hundred the number four

1171
01:05:29,040 --> 01:05:34,640
Speaker 1: relief or relief Factor dot com. That's relief Factor dot com.

1172
01:05:38,240 --> 01:05:41,280
Speaker 2: Wow, oh we mind.

1173
01:05:42,640 --> 01:05:45,560
Speaker 1: Triple eight nine seven one s triple eight nine seven

1174
01:05:45,600 --> 01:05:47,880
Speaker 1: one seven two four three. I'm Larioda. We are saling

1175
01:05:47,920 --> 01:05:50,800
Speaker 1: NewsChannel company from the Relief Factory Studios. Don't forget your

1176
01:05:50,800 --> 01:05:53,120
Speaker 1: relief Factor eight hundred four Relief eight hundred the number

1177
01:05:53,120 --> 01:05:57,280
Speaker 1: four relief. A couple other points before we move on

1178
01:05:58,880 --> 01:06:03,160
Speaker 1: my discussion, I just with Mark. You heard him say

1179
01:06:03,200 --> 01:06:08,120
Speaker 1: he despises Steve Hilton. I've known Steve Hilton for a

1180
01:06:08,160 --> 01:06:11,760
Speaker 1: number of years. I've known people who disagree with Steve

1181
01:06:11,800 --> 01:06:14,360
Speaker 1: Hilton's views and what he would do about homelessness, what

1182
01:06:14,360 --> 01:06:16,240
Speaker 1: do you do about regulation? What do you do about taxes?

1183
01:06:16,920 --> 01:06:20,400
Speaker 1: I have never until today heard somebody say I despise

1184
01:06:20,640 --> 01:06:28,840
Speaker 1: Steve Hilton. One of the points I made to Mark

1185
01:06:30,840 --> 01:06:33,680
Speaker 1: is that Democrats are eight times more likely than Republicans

1186
01:06:33,680 --> 01:06:36,520
Speaker 1: to say the economy is bad, eight times more likely.

1187
01:06:40,640 --> 01:06:43,280
Speaker 1: I can see that Republicans are more likely to say

1188
01:06:43,280 --> 01:06:47,120
Speaker 1: things are better because of they support Donald Trump, But

1189
01:06:47,200 --> 01:06:54,480
Speaker 1: by factor of eight there's something called Trump derangement syndrome.

1190
01:06:55,600 --> 01:06:59,080
Speaker 1: You can't accept that gas prices were higher under Joe Biden.

1191
01:06:59,120 --> 01:07:01,400
Speaker 1: You can't accept it in flat was higher under Joe Biden.

1192
01:07:01,960 --> 01:07:06,720
Speaker 1: You're ignoring the estimated minimum ten million people Joe Biden

1193
01:07:06,760 --> 01:07:11,360
Speaker 1: allowed in the country illegally. Donald Trump closes the borders

1194
01:07:11,360 --> 01:07:12,840
Speaker 1: in thirty days. No one even talks about that as

1195
01:07:12,880 --> 01:07:17,080
Speaker 1: an achievement extraordinary. In thirty days, we were told that

1196
01:07:18,800 --> 01:07:20,600
Speaker 1: the borders are as closed as they can be given

1197
01:07:20,600 --> 01:07:26,320
Speaker 1: the absence of quote comprehensive immigration reform. When you hate somebody,

1198
01:07:26,440 --> 01:07:29,640
Speaker 1: it's hard to see things clearly. I had that experience

1199
01:07:29,720 --> 01:07:33,480
Speaker 1: years ago when I was talking to Tavis Smiley. This

1200
01:07:33,560 --> 01:07:37,560
Speaker 1: is in twenty eleven during the Obama administration. Listen to

1201
01:07:37,560 --> 01:07:43,360
Speaker 1: this number twenty seven. Here's what I find puzzling, Tavis

1202
01:07:43,400 --> 01:07:46,400
Speaker 1: about your analysis. I know you're not a fan of

1203
01:07:46,440 --> 01:07:49,560
Speaker 1: Ronald Reagan. You once said that Ronald Reagan quote tortured

1204
01:07:49,600 --> 01:07:52,800
Speaker 1: blacks end of quote. Ronald Reagan did not have a

1205
01:07:52,840 --> 01:07:56,200
Speaker 1: specific black job's agenda. What he did was cut taxes

1206
01:07:56,320 --> 01:07:59,440
Speaker 1: very deeply. He slowed down the rate of government spending,

1207
01:07:59,480 --> 01:08:03,080
Speaker 1: and he continue and accelerated deregulation policies that have been

1208
01:08:03,120 --> 01:08:08,320
Speaker 1: started by Jimmy Carter. The black adult unemployment rate fell

1209
01:08:08,440 --> 01:08:11,640
Speaker 1: faster than the white adult unemployment rate. The black teen

1210
01:08:11,920 --> 01:08:15,520
Speaker 1: age unemployment rate fell far faster than did the white

1211
01:08:15,600 --> 01:08:19,040
Speaker 1: teenage unemployment rate. Black businesses were created at a rate faster,

1212
01:08:19,160 --> 01:08:22,080
Speaker 1: the revenues grew at a rate faster. All because Ronald

1213
01:08:22,160 --> 01:08:26,759
Speaker 1: Reagan dramatically cut taxes, dramatically reduced the rate of government

1214
01:08:26,960 --> 01:08:30,679
Speaker 1: of domestic spending, and he deregulated. This president is doing

1215
01:08:30,680 --> 01:08:34,559
Speaker 1: the opposite. He has spent money, he is taxed, he's

1216
01:08:34,600 --> 01:08:37,840
Speaker 1: threatening to increase taxes even more. He's imposed billions of

1217
01:08:37,920 --> 01:08:41,000
Speaker 1: dollars in regulations. And fast forward two and a half

1218
01:08:41,040 --> 01:08:43,559
Speaker 1: years later, we got nine point one percent unemployment, and

1219
01:08:43,640 --> 01:08:46,960
Speaker 1: during the Reagan era of Tavis, unemployment in fact was

1220
01:08:47,000 --> 01:08:50,160
Speaker 1: even higher than the highest during this great recession. So

1221
01:08:50,320 --> 01:08:52,599
Speaker 1: I don't understand why it is that you don't say

1222
01:08:52,640 --> 01:08:54,559
Speaker 1: the agenda ought to be what Ronald Reagan did.

1223
01:08:54,920 --> 01:08:57,240
Speaker 22: The short answer is this, you're awfully good at this.

1224
01:08:57,240 --> 01:08:59,280
Speaker 22: That's why you've been doing it for seventeen years. Nice

1225
01:08:59,360 --> 01:09:03,040
Speaker 22: try with respect, But Ronald Reagan decimated this country. I

1226
01:09:03,040 --> 01:09:05,439
Speaker 22: don't know what America you were living in, respectfully doing.

1227
01:09:06,040 --> 01:09:09,679
Speaker 22: He decimated America and economically in every one one way

1228
01:09:09,720 --> 01:09:11,840
Speaker 22: economic give me one way. The one thing that the

1229
01:09:11,920 --> 01:09:14,200
Speaker 22: one thing that Ronald Reagan did for people of color

1230
01:09:14,600 --> 01:09:17,439
Speaker 22: was to support the earned income tax credit. But every

1231
01:09:17,439 --> 01:09:19,679
Speaker 22: other stat you cited, this is we don't have time

1232
01:09:19,720 --> 01:09:23,120
Speaker 22: on radio to go number for number, But every every

1233
01:09:23,160 --> 01:09:26,280
Speaker 22: stat you cited visa the people of color does not

1234
01:09:26,479 --> 01:09:28,280
Speaker 22: measure up. When you talk to the people of color

1235
01:09:28,320 --> 01:09:30,760
Speaker 22: who had to live through the hell of those eight

1236
01:09:30,840 --> 01:09:32,599
Speaker 22: years of Ronald Wait, what do you mean.

1237
01:09:32,520 --> 01:09:35,080
Speaker 1: Talk to the people I've just given you labor stats.

1238
01:09:35,200 --> 01:09:40,280
Speaker 1: Since the stats these are facts. Employment fell faster, I

1239
01:09:40,280 --> 01:09:42,400
Speaker 1: get in the black community than in the white community.

1240
01:09:42,600 --> 01:09:45,080
Speaker 1: It fell faster for teams, it fell faster for adults,

1241
01:09:45,120 --> 01:09:47,320
Speaker 1: it fell faster for Hispanics. True, and you're telling me

1242
01:09:47,360 --> 01:09:49,680
Speaker 1: when you talk to people, they don't like Reagan. So

1243
01:09:49,680 --> 01:09:51,240
Speaker 1: therefore the stats go out of the way that your

1244
01:09:51,280 --> 01:09:52,120
Speaker 1: numbers are not true.

1245
01:09:52,120 --> 01:09:54,160
Speaker 22: When I get back to my office later today or tomorrow,

1246
01:09:54,200 --> 01:09:55,439
Speaker 22: I'll send you some more numbers.

1247
01:09:55,640 --> 01:09:56,080
Speaker 21: You know this.

1248
01:09:56,280 --> 01:09:57,400
Speaker 22: Numbers don't lie.

1249
01:09:57,200 --> 01:09:57,960
Speaker 5: But people do.

1250
01:09:58,280 --> 01:09:59,439
Speaker 22: The numbers are very clear.

1251
01:10:00,000 --> 01:10:01,759
Speaker 1: They're not calling me a liar. No, I'm saying numbers

1252
01:10:01,760 --> 01:10:05,519
Speaker 1: don't people doing. Take it out now, I'm saying the

1253
01:10:05,560 --> 01:10:08,320
Speaker 1: people who provided you those numbers put a spin hoole

1254
01:10:08,400 --> 01:10:11,160
Speaker 1: those numbers. By the way, that was uh Tavis Smiley

1255
01:10:11,280 --> 01:10:13,160
Speaker 1: and Cornell West, so it was two against one, which

1256
01:10:13,160 --> 01:10:14,840
Speaker 1: therefore made it a fair fight. They should have brought

1257
01:10:14,840 --> 01:10:18,760
Speaker 1: their friends. My point is I gave them information stats.

1258
01:10:18,840 --> 01:10:22,519
Speaker 1: Data that was twenty eleven is now twenty twenty six.

1259
01:10:23,240 --> 01:10:25,320
Speaker 1: So I'm waiting fifteen years. I know the mail is slow,

1260
01:10:25,360 --> 01:10:26,600
Speaker 1: but I'm still waiting for him to give me the

1261
01:10:26,680 --> 01:10:31,040
Speaker 1: correct stats. When you hate somebody and you're blinded by it.

1262
01:10:31,320 --> 01:10:35,559
Speaker 1: You can't even see what's in front of you. Black

1263
01:10:35,560 --> 01:10:38,880
Speaker 1: adult unemployment fell faster than did white unemployment in the

1264
01:10:38,920 --> 01:10:44,120
Speaker 1: Reagan years. True or false. It's true Black teenage unemployment

1265
01:10:44,160 --> 01:10:46,479
Speaker 1: fell faster than did white teenage unemployment. Tru or false.

1266
01:10:47,560 --> 01:10:50,840
Speaker 1: It's true Black business work created at a rate faster

1267
01:10:50,880 --> 01:10:53,120
Speaker 1: than right businesses. The revenues grew faster. Tru or false.

1268
01:10:53,120 --> 01:10:56,400
Speaker 1: It is true. Tavis Smiley kept saying someone gave you

1269
01:10:56,439 --> 01:11:00,759
Speaker 1: bogus numbers. I'll give you the right numbers, and never did.

1270
01:11:02,400 --> 01:11:05,680
Speaker 1: When you dislike somebody so intensely, you can't see what's

1271
01:11:05,680 --> 01:11:11,120
Speaker 1: in front of you. The term for that, as to

1272
01:11:11,160 --> 01:11:16,559
Speaker 1: this particular president, is called Trump derangement syndrome. And this

1273
01:11:16,640 --> 01:11:20,599
Speaker 1: is what Trump was angry about. How is it that

1274
01:11:21,600 --> 01:11:23,519
Speaker 1: Democrats are ate and more likely to think that the

1275
01:11:23,560 --> 01:11:25,679
Speaker 1: economy is bad because you cut on the nightly news.

1276
01:11:26,600 --> 01:11:28,760
Speaker 1: Gas prices, gas prices, gas price I'm not saying it's

1277
01:11:28,760 --> 01:11:32,679
Speaker 1: not important, but they were still lower than under Joe Biden.

1278
01:11:34,640 --> 01:11:37,160
Speaker 1: And how about all these experts we're talking about, how

1279
01:11:37,200 --> 01:11:40,439
Speaker 1: many jobs woul were created last month? Twice as many

1280
01:11:40,479 --> 01:11:43,960
Speaker 1: jobs were created as a so called experts predicted this

1281
01:11:44,040 --> 01:11:46,120
Speaker 1: is the kind of crap President Trump has had to

1282
01:11:46,120 --> 01:11:48,920
Speaker 1: deal with for ten years. And yes he's fed up,

1283
01:11:49,320 --> 01:11:52,400
Speaker 1: Yes he's angry about it. Majority of people don't support

1284
01:11:52,400 --> 01:11:54,679
Speaker 1: the war in Iran. Why majority of people don't realize

1285
01:11:54,680 --> 01:11:57,640
Speaker 1: how close the RAM was getting a nuke. They have

1286
01:11:57,680 --> 01:11:59,800
Speaker 1: to be reminded about this hateful rhetoric that Iran has

1287
01:11:59,800 --> 01:12:05,400
Speaker 1: been issuing for forty seven years. How many Americans have

1288
01:12:05,479 --> 01:12:10,080
Speaker 1: been murdered by Iran because of IEDs through their terror

1289
01:12:10,080 --> 01:12:14,720
Speaker 1: proxies and others. Many Americans are clueless about all of

1290
01:12:14,720 --> 01:12:20,800
Speaker 1: this because the media are not reminding people. And the

1291
01:12:20,880 --> 01:12:23,320
Speaker 1: other point about the and Compton thing, I just not

1292
01:12:23,439 --> 01:12:28,960
Speaker 1: played for. Mark Compton said, the reason Obama was so

1293
01:12:29,040 --> 01:12:31,559
Speaker 1: angry and the reason that coverage was what it was

1294
01:12:31,640 --> 01:12:34,960
Speaker 1: is because he wasn't giving them access. You cannot accuse

1295
01:12:35,000 --> 01:12:37,759
Speaker 1: Donald Trump of not giving the left wing media access.

1296
01:12:38,760 --> 01:12:42,080
Speaker 1: He goes on CNN, he goes on ABC, he goes

1297
01:12:42,120 --> 01:12:48,200
Speaker 1: on CBS, he goes on NBC, more access than any

1298
01:12:48,200 --> 01:12:54,160
Speaker 1: president I've ever seen. And Obama was angry because of

1299
01:12:54,160 --> 01:12:57,320
Speaker 1: the coverage and an confidence as well. When you're not accessible,

1300
01:12:57,880 --> 01:13:00,400
Speaker 1: you get what you get. You cannot accuse it's Donald

1301
01:13:00,400 --> 01:13:06,479
Speaker 1: Trump of being inaccessible. So he exploded, and I don't

1302
01:13:06,479 --> 01:13:11,680
Speaker 1: blame him. Ever been in a bad relationship, you know

1303
01:13:11,720 --> 01:13:13,600
Speaker 1: the kind it just wears you down. You settle in,

1304
01:13:13,680 --> 01:13:15,559
Speaker 1: even though deep down you know this isn't how it's

1305
01:13:15,600 --> 01:13:18,160
Speaker 1: supposed to be. Well, that's what daily aches and pains

1306
01:13:18,200 --> 01:13:20,600
Speaker 1: can feel like. You stop expecting to feel good. You

1307
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Speaker 1: start thinking, maybe this is just my life now, but

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Speaker 1: it doesn't have to be. With Relief Factory, you can

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Speaker 1: was dealing with debilitating pain and fatigue. I've been taking

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Speaker 1: to running my business, fishing, guardening, doing the things that

1313
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Speaker 1: really matter to me. I told you about my golfing buddy.

1314
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Speaker 1: Without Relief Factory wouldn't be able to be out there

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1321
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Speaker 23: Hello Ert, No, you know the she in California. Maybe

1322
01:14:22,200 --> 01:14:25,120
Speaker 23: you might have been governor. Oh, I know it's time

1323
01:14:25,200 --> 01:14:30,000
Speaker 23: to stend the mayor of La that she did already before,

1324
01:14:30,439 --> 01:14:36,080
Speaker 23: back to Cuba where she belonged, don't you agree?

1325
01:14:37,280 --> 01:14:39,559
Speaker 1: Triple eight nine seven one s A g E. Triple

1326
01:14:39,600 --> 01:14:41,439
Speaker 1: eight nine seven one seven two four three. I am

1327
01:14:41,520 --> 01:14:48,559
Speaker 1: Larry Elder, Salem News Channel speaking of TDS Maxine Waters,

1328
01:14:48,600 --> 01:14:51,840
Speaker 1: I want to remind you said Trump was the most

1329
01:14:51,840 --> 01:14:56,720
Speaker 1: deplorable person she ever met. Keller Clinton says migration has

1330
01:14:56,760 --> 01:15:01,559
Speaker 1: been disruptive and destabilizing. I repeat Hillery cl attacks against

1331
01:15:01,640 --> 01:15:07,000
Speaker 1: DHS officers up eight thousand percent, more fraud disclosed in

1332
01:15:07,040 --> 01:15:10,160
Speaker 1: Ohio and in California, and in the food stamp program.

1333
01:15:10,200 --> 01:15:14,400
Speaker 1: All of this and more. Frequently people will call up

1334
01:15:14,439 --> 01:15:18,720
Speaker 1: and refer to Donald Trump as a convicted felon, and

1335
01:15:18,760 --> 01:15:21,840
Speaker 1: I say, what is he convicted of? Well, the thirty

1336
01:15:21,840 --> 01:15:26,320
Speaker 1: four counts? What was a charge? Most people don't even know.

1337
01:15:28,720 --> 01:15:32,679
Speaker 1: This is what I mean. Mark properly said when Trump

1338
01:15:32,840 --> 01:15:36,520
Speaker 1: was asked for evidence of California, he was not specific.

1339
01:15:37,320 --> 01:15:41,360
Speaker 1: Bill Maher is asking Chris Murphy, the Trump hating senator

1340
01:15:41,360 --> 01:15:44,559
Speaker 1: from Connecticut who claims that Trump has hijacked sixty minutes.

1341
01:15:45,720 --> 01:15:51,080
Speaker 1: To provide proof of that, listen to this number thirty.

1342
01:15:51,800 --> 01:15:53,679
Speaker 24: What do you think of the shakeup in sixty minutes?

1343
01:15:53,760 --> 01:15:54,680
Speaker 24: Big controversy?

1344
01:15:54,920 --> 01:15:58,240
Speaker 25: Yeah, I mean, listen, you're watching a censorship state be created.

1345
01:15:58,320 --> 01:16:00,600
Speaker 25: Trump is using the powers that he has available as

1346
01:16:00,640 --> 01:16:04,760
Speaker 25: president the United States to install only friendly ownership at

1347
01:16:04,800 --> 01:16:07,759
Speaker 25: the big media companies. He's using rediatory powers to punish

1348
01:16:07,760 --> 01:16:09,200
Speaker 25: people who oppose him.

1349
01:16:09,360 --> 01:16:12,200
Speaker 24: That's a big charge that you've just made, that that

1350
01:16:12,200 --> 01:16:16,679
Speaker 24: that sexty minutes itself and CBS itself is now completely maga.

1351
01:16:16,880 --> 01:16:18,880
Speaker 24: I don't see as that completely maga. Well, that's kind

1352
01:16:18,880 --> 01:16:19,439
Speaker 24: of what you said.

1353
01:16:19,560 --> 01:16:23,760
Speaker 25: He but he is clearly intense on installing people who

1354
01:16:23,800 --> 01:16:26,360
Speaker 25: will tell his story. Of course, and we'll keep his

1355
01:16:26,400 --> 01:16:27,240
Speaker 25: critics off the air.

1356
01:16:27,400 --> 01:16:29,960
Speaker 24: But let me ask you this question. I watched sixty

1357
01:16:30,000 --> 01:16:31,800
Speaker 24: minutes every week I've had since I.

1358
01:16:31,800 --> 01:16:32,240
Speaker 3: Was a kid.

1359
01:16:33,280 --> 01:16:35,519
Speaker 24: If I didn't hear all the buzz in the media,

1360
01:16:35,600 --> 01:16:37,880
Speaker 24: if I didn't read about it all the time, would

1361
01:16:37,920 --> 01:16:40,080
Speaker 24: I ever notice that it was any different?

1362
01:16:41,560 --> 01:16:41,880
Speaker 1: I don't.

1363
01:16:41,920 --> 01:16:42,759
Speaker 24: I don't think I would.

1364
01:16:43,640 --> 01:16:46,759
Speaker 25: Yeah, but it's it's not just it's not just sixty minutes.

1365
01:16:46,760 --> 01:16:47,880
Speaker 1: And part of it is I don't.

1366
01:16:47,800 --> 01:16:49,640
Speaker 25: Know what they choose not to You don't know what

1367
01:16:49,680 --> 01:16:51,960
Speaker 25: they choose not to air, that's true. Part of what

1368
01:16:52,000 --> 01:16:55,200
Speaker 25: the allegation is is that they are killing stories that

1369
01:16:55,240 --> 01:16:57,559
Speaker 25: would be embarrassing for the president. So it's hard to

1370
01:16:57,680 --> 01:17:00,439
Speaker 25: know what you're missing in a censorship environment.

1371
01:17:00,439 --> 01:17:02,920
Speaker 24: But I've seen ones that are not very favorable with

1372
01:17:02,960 --> 01:17:06,479
Speaker 24: the president. Yeah, that's what I'm saying. I don't know

1373
01:17:06,479 --> 01:17:09,040
Speaker 24: if I would have noticed any different if I hadn't

1374
01:17:09,080 --> 01:17:11,880
Speaker 24: been reading about it. Also, I just don't think being

1375
01:17:11,880 --> 01:17:14,960
Speaker 24: a sixty minutes correspondent is that hard. I don't feel

1376
01:17:14,960 --> 01:17:18,120
Speaker 24: like Scott Pelley. I don't feel like Scott Pelley was

1377
01:17:18,160 --> 01:17:22,000
Speaker 24: a national treasure. Companies change hands all the time. I

1378
01:17:22,080 --> 01:17:23,880
Speaker 24: never liked them. Sorry, I just never did.

1379
01:17:24,840 --> 01:17:27,760
Speaker 1: So Murphy had nothing when challenged on it. By the way,

1380
01:17:28,040 --> 01:17:31,880
Speaker 1: Barry Weiss, who now is running CBS News, she calls

1381
01:17:31,880 --> 01:17:36,080
Speaker 1: herself a center left person. She's not even mega, she's

1382
01:17:36,120 --> 01:17:41,519
Speaker 1: not even a Trump fan. All right, they're standing by

1383
01:17:41,800 --> 01:17:46,000
Speaker 1: Graham Platner. Hilder Clinton says migration has been disruptive and destabilizing.

1384
01:17:46,000 --> 01:17:48,400
Speaker 1: Her words, not mine. All this and more I'm Larry Older,

1385
01:17:57,040 --> 01:17:58,200
Speaker 1: so let's get her teed up.

1386
01:18:00,800 --> 01:18:01,320
Speaker 6: Lost to my.

1387
01:18:05,880 --> 01:18:09,960
Speaker 2: Subdig you can't succeed with lt.

1388
01:18:12,000 --> 01:18:14,599
Speaker 1: Triple eight ninet seven one s A G E. Triple

1389
01:18:14,640 --> 01:18:16,840
Speaker 1: eight nine seven one seven two four three. I am

1390
01:18:16,920 --> 01:18:24,040
Speaker 1: Larry Elder. We are Salem News Channel. According to the

1391
01:18:24,439 --> 01:18:29,479
Speaker 1: New York Times, the second spot in the LA mayors

1392
01:18:29,560 --> 01:18:35,720
Speaker 1: race has now been secured by Nithia Rahman. The New

1393
01:18:35,800 --> 01:18:38,479
Speaker 1: York Times refers to her as a quote progressive democrat

1394
01:18:38,520 --> 01:18:42,479
Speaker 1: close quote you mean a socialist member of the Democrat

1395
01:18:43,560 --> 01:18:50,519
Speaker 1: Socialist Party. That's You're bias right there, Nithia Rahmen, a

1396
01:18:50,560 --> 01:18:54,479
Speaker 1: progressive Democrat? Is there any other kind? What do you call?

1397
01:18:54,560 --> 01:19:01,320
Speaker 1: Karen Bass? According to the New York Times, it is

1398
01:19:01,360 --> 01:19:06,200
Speaker 1: now a two person race as determined by the Associated Press.

1399
01:19:07,120 --> 01:19:10,320
Speaker 1: So this is accurate. It means Spencer Pratt will not

1400
01:19:10,680 --> 01:19:16,040
Speaker 1: be facing Karen Bass in the general. One more comment

1401
01:19:16,080 --> 01:19:20,599
Speaker 1: about the conversation I was having with Mark about him

1402
01:19:20,600 --> 01:19:25,519
Speaker 1: being not happy with the way Donald Trump behaved in

1403
01:19:25,560 --> 01:19:29,160
Speaker 1: this interview with NBC where he walked out because, in

1404
01:19:29,400 --> 01:19:33,400
Speaker 1: Mark's view, he was asked to provide evidence for his

1405
01:19:33,439 --> 01:19:36,000
Speaker 1: assertion that there was fraud going on in California with

1406
01:19:36,320 --> 01:19:38,680
Speaker 1: the voting, he couldn't do it, and therefore he got

1407
01:19:38,760 --> 01:19:41,559
Speaker 1: up and he walked out. As I said before, that

1408
01:19:41,600 --> 01:19:43,840
Speaker 1: wasn't what caused him to get up and walk out.

1409
01:19:44,200 --> 01:19:45,680
Speaker 1: What caused him to get up and walked out was

1410
01:19:45,680 --> 01:19:52,519
Speaker 1: because of his perception, which is accurate, that ABC, NBCCBS, CNN,

1411
01:19:52,760 --> 01:19:54,400
Speaker 1: I can go down the list or hostile to him.

1412
01:19:55,560 --> 01:19:59,040
Speaker 1: That's why I played the clip of Anne Compton, who

1413
01:19:59,680 --> 01:20:02,720
Speaker 1: report after she retired from ABC, not while she was

1414
01:20:02,720 --> 01:20:06,599
Speaker 1: still there, that on two occasions, Obama ripped the media.

1415
01:20:07,200 --> 01:20:12,600
Speaker 1: In one occasion, it was profanity lace tirade during the

1416
01:20:12,600 --> 01:20:20,759
Speaker 1: two thousand and eight campaign Barack Obama versus the Senator

1417
01:20:20,800 --> 01:20:28,360
Speaker 1: from Arizona. Joan Walsh is a left wing editor of

1418
01:20:28,560 --> 01:20:33,960
Speaker 1: a website called Salon dot com, and here's what she

1419
01:20:34,000 --> 01:20:42,519
Speaker 1: said about the way the media covered the Obama candidacy.

1420
01:20:43,680 --> 01:20:44,160
Speaker 3: Quote.

1421
01:20:44,720 --> 01:20:47,880
Speaker 1: I was struck when I got to Iowa and New

1422
01:20:47,880 --> 01:20:51,760
Speaker 1: Hampshire in January by how our media colleagues were just

1423
01:20:51,920 --> 01:20:57,360
Speaker 1: swooning over Barack Obama. That is not too strong a word.

1424
01:20:57,520 --> 01:21:02,240
Speaker 1: They were swooning. I was a speech. The biggest names

1425
01:21:02,280 --> 01:21:05,040
Speaker 1: in our business were there. They could repeat some of

1426
01:21:05,040 --> 01:21:07,640
Speaker 1: his speech. Lines to one another. It was like a

1427
01:21:07,680 --> 01:21:12,519
Speaker 1: Bruce Springsteen concert where the fans sing along. End of quote.

1428
01:21:14,200 --> 01:21:16,000
Speaker 1: And the point I'm making, of course, is that this

1429
01:21:16,040 --> 01:21:18,240
Speaker 1: is a degree to which the media adored this man

1430
01:21:18,760 --> 01:21:24,000
Speaker 1: referring to Barack Obama, and even he was angry at

1431
01:21:24,000 --> 01:21:28,400
Speaker 1: what he thought was unfair coverage. Well, the media despises

1432
01:21:28,680 --> 01:21:36,400
Speaker 1: Donald Trump, So imagine how Donald Trump feels about his coverage,

1433
01:21:37,000 --> 01:21:40,080
Speaker 1: given that they loved Obama and Obama was angry at

1434
01:21:40,080 --> 01:21:52,799
Speaker 1: his coverage. Am I making any sense here? Scott Paley,

1435
01:21:54,200 --> 01:22:00,120
Speaker 1: longtime anchor sixty Minutes, fired after was a meeting with

1436
01:22:00,240 --> 01:22:04,000
Speaker 1: sixty Minute staffers and their new boss, and he blasted

1437
01:22:04,040 --> 01:22:07,920
Speaker 1: the boss said, your resume is thin, and the resume

1438
01:22:07,960 --> 01:22:13,439
Speaker 1: of the person running CBS News, Barry Weiss, is also thin. Again,

1439
01:22:13,520 --> 01:22:15,720
Speaker 1: Barry Weiss isn't even a conservative. Barry Weiss is a

1440
01:22:16,120 --> 01:22:20,960
Speaker 1: by a self described center left person, not a fan

1441
01:22:21,000 --> 01:22:30,360
Speaker 1: of Donald Trump. But that's not good enough. Scott Paley

1442
01:22:30,400 --> 01:22:33,439
Speaker 1: says he was confused, wasn't sure he was being fired.

1443
01:22:34,200 --> 01:22:35,840
Speaker 1: You get a new boss in and you call your

1444
01:22:36,000 --> 01:22:37,840
Speaker 1: tell your new boss in front of the other staffers.

1445
01:22:38,160 --> 01:22:40,640
Speaker 1: Your new boss has a slender resume, which is how

1446
01:22:40,640 --> 01:22:43,519
Speaker 1: he put it. And then you blast your higher boss

1447
01:22:44,160 --> 01:22:47,320
Speaker 1: and you think that you're immune from being fired number

1448
01:22:47,320 --> 01:22:47,960
Speaker 1: thirty nine.

1449
01:22:48,439 --> 01:22:52,200
Speaker 17: But it really didn't occur to you that you could

1450
01:22:52,200 --> 01:22:55,320
Speaker 17: be fired after so many of your colleagues had been

1451
01:22:55,360 --> 01:22:59,519
Speaker 17: let go, after you'd had this very contentious interaction with

1452
01:22:59,640 --> 01:23:00,519
Speaker 17: your new boss.

1453
01:23:00,760 --> 01:23:03,400
Speaker 4: You know, some reporter I turned out to be. I

1454
01:23:03,600 --> 01:23:08,479
Speaker 4: just didn't connect the dots. I mean, was this meeting contentious? Yes,

1455
01:23:08,560 --> 01:23:12,920
Speaker 4: But sixty minutes is known for two things, a ticking

1456
01:23:12,960 --> 01:23:17,080
Speaker 4: stopwatch and hard questions. And we ask ourselves those hard

1457
01:23:17,200 --> 01:23:21,040
Speaker 4: questions in the shop because they sharpen us and make

1458
01:23:21,120 --> 01:23:25,559
Speaker 4: us better. There was a screening once with Mike Wallace

1459
01:23:25,640 --> 01:23:28,880
Speaker 4: and Mike and the executive producer and founder of sixty Minutes,

1460
01:23:28,880 --> 01:23:31,280
Speaker 4: Don Hewett, got into a big argument about a script.

1461
01:23:32,280 --> 01:23:35,919
Speaker 4: Wallace jumps up in the middle of the screening, throws

1462
01:23:35,960 --> 01:23:38,840
Speaker 4: his script up in the air and yells at Don, well,

1463
01:23:38,880 --> 01:23:43,519
Speaker 4: then you write the FN thing. One of those pieces

1464
01:23:43,560 --> 01:23:48,400
Speaker 4: of paper comes down and slices an associate producer across

1465
01:23:48,439 --> 01:23:51,439
Speaker 4: the face. He's bleeding now he's got a paper cut

1466
01:23:51,479 --> 01:23:52,080
Speaker 4: on his face.

1467
01:23:53,720 --> 01:23:57,240
Speaker 3: That was about a story.

1468
01:23:57,880 --> 01:24:01,679
Speaker 4: The meeting that I was in was about whether sixty

1469
01:24:01,720 --> 01:24:04,120
Speaker 4: minutes was going to even survive or not?

1470
01:24:05,040 --> 01:24:08,280
Speaker 17: So you walk in and what was the energy of

1471
01:24:08,320 --> 01:24:08,919
Speaker 17: the room?

1472
01:24:09,280 --> 01:24:16,080
Speaker 4: Hostile, dismissive. Before I could take my seat, Tom Sabrowski said,

1473
01:24:16,120 --> 01:24:20,679
Speaker 4: this is a firing offense. I was confused. I wasn't

1474
01:24:20,720 --> 01:24:25,200
Speaker 4: sure who he was talking about in the room, but

1475
01:24:25,280 --> 01:24:29,120
Speaker 4: it became plain very quickly that they were talking about me,

1476
01:24:29,760 --> 01:24:34,480
Speaker 4: and they were unhappy about the meeting that had occurred,

1477
01:24:35,360 --> 01:24:40,160
Speaker 4: a meeting that had ended in thunderous applause for me,

1478
01:24:41,000 --> 01:24:44,000
Speaker 4: if I may say so, because somebody had stood up

1479
01:24:44,040 --> 01:24:44,880
Speaker 4: for the broadcast?

1480
01:24:45,960 --> 01:24:50,560
Speaker 1: Yeah, did they also walk out after you after you

1481
01:24:50,640 --> 01:24:54,800
Speaker 1: got fired? Because they stood up for the broadcast? Clueless?

1482
01:24:55,360 --> 01:24:58,360
Speaker 1: Clueless about when I asked about why Poles show that

1483
01:24:58,400 --> 01:25:00,559
Speaker 1: most people think the media is biased forty five?

1484
01:25:03,840 --> 01:25:10,120
Speaker 17: What was the feeling about that particular opening salvo to

1485
01:25:10,160 --> 01:25:10,559
Speaker 17: the team?

1486
01:25:10,880 --> 01:25:11,040
Speaker 5: Uh?

1487
01:25:11,080 --> 01:25:16,760
Speaker 4: Oh, she I am told said something to the effect of,

1488
01:25:16,840 --> 01:25:21,519
Speaker 4: why do you think the country thinks you're biased? But

1489
01:25:21,640 --> 01:25:24,040
Speaker 4: she didn't offer any kind of a metric. You know,

1490
01:25:24,400 --> 01:25:27,800
Speaker 4: what's your metric? Why do you think so? Do you

1491
01:25:27,840 --> 01:25:31,640
Speaker 4: have a poll? Is there market research? What are you

1492
01:25:31,680 --> 01:25:36,280
Speaker 4: talking about? Because we certainly didn't believe that is there

1493
01:25:36,320 --> 01:25:36,840
Speaker 4: a poll.

1494
01:25:38,680 --> 01:25:42,200
Speaker 1: How about Gallup. There have been a number of polls

1495
01:25:42,200 --> 01:25:44,519
Speaker 1: where Americans are asked, do you believe the media or biased?

1496
01:25:44,520 --> 01:25:49,360
Speaker 1: Even half Democrats say they are talk about being in

1497
01:25:49,400 --> 01:25:49,879
Speaker 1: a bubble.

1498
01:25:51,840 --> 01:25:57,280
Speaker 3: I've detected a subtle bias since the new owners that

1499
01:25:57,320 --> 01:26:00,640
Speaker 3: I've never seen at sixty minutes, right, CBS.

1500
01:26:02,560 --> 01:26:06,400
Speaker 1: Did you read Bernie Goldberg's book called Wait a Minute Bias?

1501
01:26:09,200 --> 01:26:14,040
Speaker 1: He was at CBS for twenty years. Did you read

1502
01:26:14,120 --> 01:26:16,800
Speaker 1: where the head of CBS News said, of course there's

1503
01:26:16,840 --> 01:26:19,439
Speaker 1: a liberal bias. All of us are, and if you

1504
01:26:19,479 --> 01:26:23,640
Speaker 1: repeat that, I'll deny. Did you read that? Have you

1505
01:26:23,680 --> 01:26:28,000
Speaker 1: read Media Research Center that looked at the news coverage

1506
01:26:28,439 --> 01:26:31,960
Speaker 1: Trump one point zero, two point zero, ABC, NBC, CBS

1507
01:26:32,920 --> 01:26:37,759
Speaker 1: ninety five percent the news against Donald Trump negative.

1508
01:26:38,400 --> 01:26:41,120
Speaker 3: I don't know what they're talking about. We certainly don't see.

1509
01:26:40,880 --> 01:26:42,720
Speaker 15: That her her.

1510
01:26:44,240 --> 01:26:45,880
Speaker 1: Some reporter I've turned.

1511
01:26:45,600 --> 01:26:45,960
Speaker 5: Up to me.

1512
01:26:46,680 --> 01:26:48,559
Speaker 1: At least he's admitting he's not much of a reporter.

1513
01:26:49,720 --> 01:26:51,880
Speaker 1: And you like it being fired from sixty minutes to

1514
01:26:52,000 --> 01:26:53,880
Speaker 1: like your spouse being murdered?

1515
01:26:55,160 --> 01:27:00,960
Speaker 4: Really? Number thirty eight, Well, if we want to talk

1516
01:27:01,000 --> 01:27:04,120
Speaker 4: about it at an emotional level, the best thing that

1517
01:27:04,280 --> 01:27:08,080
Speaker 4: I can imagine in terms of describing it is that

1518
01:27:08,560 --> 01:27:14,759
Speaker 4: it's like your spouse was murdered. There are some moments

1519
01:27:14,800 --> 01:27:18,000
Speaker 4: of the day I feel fine. There are some moments

1520
01:27:18,040 --> 01:27:22,800
Speaker 4: of the day that I just frankly fall apart when

1521
01:27:22,800 --> 01:27:25,960
Speaker 4: I least expect it. Not that there's any particular trigger,

1522
01:27:26,200 --> 01:27:29,200
Speaker 4: but I do want to be clear that I do

1523
01:27:29,240 --> 01:27:33,800
Speaker 4: not feel sorry for me. I don't care about me.

1524
01:27:34,560 --> 01:27:39,120
Speaker 4: I'm fine, of course, I care about these people that

1525
01:27:39,200 --> 01:27:46,519
Speaker 4: I left behind, the people who are still trapped there,

1526
01:27:48,120 --> 01:27:55,120
Speaker 4: and this institution that I love so much. You said

1527
01:27:55,160 --> 01:27:58,400
Speaker 4: that I've been there thirty seven years. I've been married

1528
01:27:58,479 --> 01:28:03,960
Speaker 4: forty two years, so that's the depth of my devotion.

1529
01:28:05,479 --> 01:28:07,719
Speaker 3: The people who are still there are trapped.

1530
01:28:09,120 --> 01:28:12,680
Speaker 1: You mean that people that still want a paycheck and

1531
01:28:12,720 --> 01:28:15,160
Speaker 1: they feel somehow they could coexist with the new management,

1532
01:28:15,200 --> 01:28:18,360
Speaker 1: and you couldn't because they're not as pompous as you are.

1533
01:28:22,320 --> 01:28:24,720
Speaker 1: Maximine Waters want to remind you said Donald Trump was

1534
01:28:24,720 --> 01:28:29,799
Speaker 1: the most deplorable person she's ever met. I'm Larry Elder

1535
01:28:33,200 --> 01:28:36,080
Speaker 1: Triple eight nine seven one Sage Triple eight ninety seven

1536
01:28:36,120 --> 01:28:38,080
Speaker 1: one seven two four to three. I am Larry Elder.

1537
01:28:38,120 --> 01:28:42,240
Speaker 1: We are Salem NewsChannel. Again. I want to thank you

1538
01:28:42,320 --> 01:28:46,040
Speaker 1: so much for all of the kids are now going

1539
01:28:46,120 --> 01:28:47,679
Speaker 1: to be able to go to an angel Tree camp

1540
01:28:47,720 --> 01:28:49,720
Speaker 1: this summer because of you. These are kids with a

1541
01:28:49,760 --> 01:28:55,760
Speaker 1: mom or dad behind bars. My goal was to raise

1542
01:28:55,840 --> 01:28:57,519
Speaker 1: enough money to send one hundred and sixty two of

1543
01:28:57,560 --> 01:29:02,719
Speaker 1: these deserving kids to an angel Tree camp. You donated

1544
01:29:02,840 --> 01:29:06,960
Speaker 1: enough money to send four hundred and thirty nine, So

1545
01:29:06,960 --> 01:29:08,360
Speaker 1: I want to thank you so much again. You can

1546
01:29:08,400 --> 01:29:10,960
Speaker 1: go to my website Larryelder dot com. You'll see the

1547
01:29:11,000 --> 01:29:13,760
Speaker 1: Angle Tree banner at the very top. If you want

1548
01:29:13,760 --> 01:29:17,720
Speaker 1: to still give, I cannot tell you how much I

1549
01:29:17,760 --> 01:29:22,760
Speaker 1: appreciate it. Gonna go to the phones. But one more

1550
01:29:22,760 --> 01:29:25,200
Speaker 1: common about this left wing media bias. It isn't just

1551
01:29:25,280 --> 01:29:31,200
Speaker 1: that the media is biased. It's the effect it has

1552
01:29:31,280 --> 01:29:36,519
Speaker 1: on how people think, how people reason, and how people vote.

1553
01:29:38,880 --> 01:29:40,639
Speaker 1: I've talked for years about the fact that the top

1554
01:29:40,720 --> 01:29:46,559
Speaker 1: one percent pay close to forty percent or more of

1555
01:29:46,760 --> 01:29:50,679
Speaker 1: all the federal income taxes. The bottom fifty percent paid

1556
01:29:50,680 --> 01:29:53,720
Speaker 1: little or nothing. Most people are completely unaware of that.

1557
01:29:53,800 --> 01:29:58,760
Speaker 1: Why does CBS do a story on this about the

1558
01:29:58,760 --> 01:30:01,599
Speaker 1: gap between what's really going on versus what people think? Oh,

1559
01:30:03,640 --> 01:30:06,519
Speaker 1: Washington Post recently said the top one percent pay over

1560
01:30:06,560 --> 01:30:08,479
Speaker 1: forty percent of all the federal income taxes. Of fact,

1561
01:30:08,479 --> 01:30:11,720
Speaker 1: the top ten percent pay about seventy five percent. By

1562
01:30:11,720 --> 01:30:14,120
Speaker 1: the way, the top one percent makes about twenty percent

1563
01:30:14,200 --> 01:30:17,479
Speaker 1: of the nation's income, which means, if you want to

1564
01:30:17,520 --> 01:30:26,439
Speaker 1: do it by income, they're overtaxed. Why is it people

1565
01:30:26,439 --> 01:30:28,800
Speaker 1: believe that Donald Trump said they're good Nazis and bad

1566
01:30:28,880 --> 01:30:32,040
Speaker 1: Nazis on both sides. That's how the media covered it.

1567
01:30:32,200 --> 01:30:35,200
Speaker 1: Two and a half years later, even cn N Jake

1568
01:30:35,200 --> 01:30:36,519
Speaker 1: Tapper said, you know, I went back and I looked

1569
01:30:36,520 --> 01:30:37,840
Speaker 1: at it, and Donald Trump was not saying that they

1570
01:30:37,840 --> 01:30:39,560
Speaker 1: are good Nazis and bad Nazis. What he's saying is

1571
01:30:39,560 --> 01:30:41,680
Speaker 1: they're good and bad people on both sides of the

1572
01:30:41,680 --> 01:30:43,320
Speaker 1: debate about whether or not there should be a Confederate

1573
01:30:43,320 --> 01:30:51,880
Speaker 1: monument in the public square. During the Biden administration, one year,

1574
01:30:51,920 --> 01:30:55,520
Speaker 1: two point five million illegal aliens came in and estimated

1575
01:30:56,840 --> 01:31:00,280
Speaker 1: poll asked Americans how many illegal aliens came in they

1576
01:31:00,360 --> 01:31:03,599
Speaker 1: that year. The average answer was a quarter of a million.

1577
01:31:04,439 --> 01:31:08,880
Speaker 1: They were off by a factor of ten. How can

1578
01:31:08,920 --> 01:31:14,840
Speaker 1: that be? I told you during the first months of

1579
01:31:14,880 --> 01:31:18,479
Speaker 1: the Biden administration. Cut on the TV in the morning,

1580
01:31:18,479 --> 01:31:25,240
Speaker 1: I'm watching Fox News and Bill Malusian, who speaks fluent

1581
01:31:25,280 --> 01:31:31,200
Speaker 1: spanishes on the border and he's covering the large number,

1582
01:31:32,479 --> 01:31:36,360
Speaker 1: massive number of people coming across the border, had a

1583
01:31:36,439 --> 01:31:39,479
Speaker 1: drone overhead so you can get a perspective shot of it,

1584
01:31:39,520 --> 01:31:45,439
Speaker 1: and it was unbelievable. NEWSMAC same thing, unbelievable. Then I

1585
01:31:45,479 --> 01:31:49,479
Speaker 1: cut on CNN, nothing other than they were saying something

1586
01:31:49,479 --> 01:31:54,679
Speaker 1: negative about Trump. Cut on what's now called BS now nothing.

1587
01:31:56,479 --> 01:32:07,200
Speaker 1: It's like two different worlds. ME Research Center just did

1588
01:32:07,240 --> 01:32:10,920
Speaker 1: a study looking at ABCNBCCBS news find out how much

1589
01:32:10,960 --> 01:32:13,679
Speaker 1: of the news devoted to this massive fraud being uncovered

1590
01:32:13,680 --> 01:32:15,240
Speaker 1: in places like Ohio and California.

1591
01:32:16,200 --> 01:32:16,519
Speaker 8: Nothing.

1592
01:32:18,000 --> 01:32:25,000
Speaker 1: Fox News, Yeah, News Max, Yes, this is why the

1593
01:32:25,040 --> 01:32:30,880
Speaker 1: president is angry, and frankly, previous Republican presidents should have

1594
01:32:30,920 --> 01:32:35,559
Speaker 1: been equally angry, but they weren't because they're polite. That's

1595
01:32:35,600 --> 01:32:38,080
Speaker 1: why Donald Trump is despised so much. He's not polite.

1596
01:32:38,760 --> 01:32:40,920
Speaker 1: He's exposing these people for who and what they are,

1597
01:32:41,520 --> 01:32:48,000
Speaker 1: and they don't like it. John Walsh, senior editor of

1598
01:32:48,040 --> 01:32:53,040
Speaker 1: Salon magazine, the left wing publication, said big name journalists

1599
01:32:53,080 --> 01:32:57,480
Speaker 1: during two thousand and eight covering Obama, they were swooning swooning.

1600
01:33:03,840 --> 01:33:12,400
Speaker 1: Incredibly incredibly unfair. How many people believe that Donald Trump

1601
01:33:12,400 --> 01:33:16,200
Speaker 1: said drink bleach referring to COVID. He never said that.

1602
01:33:17,080 --> 01:33:19,479
Speaker 1: Donald Brazil said it on Fox News. Unfortunately, she was

1603
01:33:19,520 --> 01:33:22,840
Speaker 1: with other Fox News hosts who said that's not true.

1604
01:33:23,080 --> 01:33:25,519
Speaker 1: Show me the tape, show me the tape. She couldn't

1605
01:33:25,520 --> 01:33:31,320
Speaker 1: do it cause it was not true, mocked the disabled reporter. No,

1606
01:33:31,439 --> 01:33:40,160
Speaker 1: he didn't refer to vets who lost their lives buried

1607
01:33:40,160 --> 01:33:42,920
Speaker 1: in France as losers and suckers.

1608
01:33:42,920 --> 01:33:43,479
Speaker 3: No, he didn't.

1609
01:33:44,640 --> 01:33:46,680
Speaker 1: Well, one person said he did. The others who were

1610
01:33:46,680 --> 01:33:49,439
Speaker 1: there said he never said it. But let's take the

1611
01:33:49,760 --> 01:33:51,400
Speaker 1: word of the person that said it, because you hate

1612
01:33:51,439 --> 01:34:00,719
Speaker 1: Donald Trump's guts. That's how it rolls. Incredibly unfair. Triple

1613
01:34:00,760 --> 01:34:02,920
Speaker 1: eight nine seven one s eight g E triple eight

1614
01:34:03,000 --> 01:34:05,439
Speaker 1: nine seven one seven two four three. Jenny is in

1615
01:34:05,479 --> 01:34:08,880
Speaker 1: Woodland Hills? Is this my Jenny?

1616
01:34:09,720 --> 01:34:11,240
Speaker 6: That is indeed, Larry, how are you?

1617
01:34:11,320 --> 01:34:12,559
Speaker 1: I'm doing well? How are you, Jenny?

1618
01:34:13,800 --> 01:34:16,800
Speaker 6: I'm okay, I'm okay. But this is this making me insane.

1619
01:34:17,320 --> 01:34:19,960
Speaker 6: First of all, what a funny story about sixty minutes.

1620
01:34:19,960 --> 01:34:22,080
Speaker 6: It just occurred to me when you were talking about

1621
01:34:22,439 --> 01:34:25,000
Speaker 6: Scott Pelly tell you about how how you know fair

1622
01:34:25,040 --> 01:34:29,000
Speaker 6: and and and and news where they and factual they are.

1623
01:34:29,000 --> 01:34:31,080
Speaker 6: I remember the ALR story. I remember the LR story

1624
01:34:31,960 --> 01:34:36,920
Speaker 6: when when they practically destroyed the entire apple industry because

1625
01:34:36,960 --> 01:34:39,559
Speaker 6: of this fake thing called LR. And you know what

1626
01:34:39,600 --> 01:34:41,840
Speaker 6: sixty minutes? Did you know who their experts were? Do

1627
01:34:41,880 --> 01:34:42,360
Speaker 6: you remember?

1628
01:34:42,479 --> 01:34:42,559
Speaker 18: No?

1629
01:34:42,600 --> 01:34:42,880
Speaker 1: I don't.

1630
01:34:43,040 --> 01:34:47,759
Speaker 6: They had three actresses, free actress, Sissy's Basic and Jessica

1631
01:34:47,840 --> 01:34:52,200
Speaker 6: Lang and somebody else who played farmers wives in movies.

1632
01:34:53,000 --> 01:34:56,320
Speaker 6: Those were their experts and they almost destroyed an entire industry.

1633
01:34:56,400 --> 01:34:56,800
Speaker 3: I remember that.

1634
01:34:57,000 --> 01:35:00,559
Speaker 6: L What I wanted, what I want to say is

1635
01:35:00,640 --> 01:35:03,759
Speaker 6: this whole bias goes back so many years, like literally decades.

1636
01:35:03,800 --> 01:35:06,799
Speaker 6: I remember you reporting back in the seventies or eighties.

1637
01:35:07,200 --> 01:35:10,439
Speaker 6: You had Evan Thomas, who at that time was a

1638
01:35:10,640 --> 01:35:15,000
Speaker 6: publisher of Newsweek, who basically admitted that the left wing

1639
01:35:15,040 --> 01:35:19,880
Speaker 6: bias in the media then was responsible for ten points

1640
01:35:20,439 --> 01:35:22,920
Speaker 6: in the democrats favor And this was like forty years ago.

1641
01:35:22,960 --> 01:35:26,200
Speaker 6: It's been going on forever. That's number one and number two.

1642
01:35:26,920 --> 01:35:31,439
Speaker 6: There is proof, according to doctor Robert Epstein. And you

1643
01:35:31,479 --> 01:35:36,800
Speaker 6: can go to America's digitalshield dot com or tech watchproject

1644
01:35:36,840 --> 01:35:40,879
Speaker 6: dot org. He's one of the top researchers in the world.

1645
01:35:41,640 --> 01:35:45,920
Speaker 6: Is a lifelong Democrat who testified before Ted Cruz a

1646
01:35:45,960 --> 01:35:48,960
Speaker 6: Senate subcommittee on the left wing bias in social media,

1647
01:35:49,040 --> 01:35:54,479
Speaker 6: also before Amy Klobachar's Democrat her hearing. He testified before

1648
01:35:54,520 --> 01:35:58,799
Speaker 6: both and he said there is such right now. Social

1649
01:35:58,840 --> 01:36:03,080
Speaker 6: media last year took over all other forms of media

1650
01:36:03,200 --> 01:36:08,479
Speaker 6: as the most influential source of political news and views

1651
01:36:08,520 --> 01:36:11,960
Speaker 6: in the country, most influential. And then he said they

1652
01:36:11,960 --> 01:36:15,320
Speaker 6: are overwhelmingly biased to the left. You can go those

1653
01:36:15,320 --> 01:36:21,439
Speaker 6: websites and groc Elon Musk Grock has completely verified this

1654
01:36:21,600 --> 01:36:26,600
Speaker 6: his acts that his data are absolutely verified and it

1655
01:36:26,680 --> 01:36:29,559
Speaker 6: shows there. He said they are so biased to the left.

1656
01:36:29,880 --> 01:36:32,360
Speaker 6: He said that this has not stopped. He said, we

1657
01:36:32,400 --> 01:36:35,520
Speaker 6: will never have another free infair election in our lifetime.

1658
01:36:36,160 --> 01:36:39,799
Speaker 6: He has said that there's no question that they got Trump,

1659
01:36:40,160 --> 01:36:45,680
Speaker 6: they got Biden six million votes in twenty twenty and

1660
01:36:45,760 --> 01:36:48,639
Speaker 6: Ted Cruz when he said that about the left with bias,

1661
01:36:48,640 --> 01:36:51,120
Speaker 6: he shook his head. He said, are you sure you're

1662
01:36:51,160 --> 01:36:53,000
Speaker 6: not some right wing conservatives?

1663
01:36:53,240 --> 01:36:55,400
Speaker 1: Wow, we have to leave it there. Jenny, Jenny, thank

1664
01:36:55,400 --> 01:36:57,920
Speaker 1: you very much for calling I appreciate it. More of

1665
01:36:57,920 --> 01:36:59,559
Speaker 1: your calls we come back. Triple eight nine s and

1666
01:36:59,640 --> 01:37:14,000
Speaker 1: one Maxine Waters, most deplorable person I've ever met Triple

1667
01:37:14,040 --> 01:37:16,639
Speaker 1: eight nine seven and one Sage Triple eight nine seven

1668
01:37:16,720 --> 01:37:18,559
Speaker 1: one seven two four to three. I am Larry Yelda,

1669
01:37:18,600 --> 01:37:20,640
Speaker 1: we are seldom news kind of coming to you from

1670
01:37:20,640 --> 01:37:22,640
Speaker 1: the Relief Factor studio. Don't forget your Relief Factor eight

1671
01:37:22,720 --> 01:37:25,400
Speaker 1: hundred four Relief eight hundred and number four Relief. I

1672
01:37:25,400 --> 01:37:27,479
Speaker 1: want to give a shout out to doctor David Points

1673
01:37:27,600 --> 01:37:29,960
Speaker 1: listening to us on the Fox station in Roanoke, Virginia.

1674
01:37:32,160 --> 01:37:35,599
Speaker 1: Doctor David, thank you very much for your support. Appreciate it.

1675
01:37:37,479 --> 01:37:41,040
Speaker 1: Maxine Waters said this about President Trump number forty eight.

1676
01:37:41,880 --> 01:37:45,920
Speaker 26: I've long thought that there was a lot of smoke

1677
01:37:46,360 --> 01:37:51,320
Speaker 26: even by and that everything that I have learned about

1678
01:37:51,360 --> 01:37:56,479
Speaker 26: this president of starting with the campaign itself, that people

1679
01:37:56,520 --> 01:37:59,840
Speaker 26: should have understood that it was something terribly wrong with him.

1680
01:38:00,800 --> 01:38:03,040
Speaker 26: As a matter of fact, I've said over and over again,

1681
01:38:03,439 --> 01:38:05,880
Speaker 26: I think he's the most deplorable person I've ever met

1682
01:38:05,920 --> 01:38:06,719
Speaker 26: in my life.

1683
01:38:07,960 --> 01:38:09,880
Speaker 1: I think he's the most deplorable person I've ever met

1684
01:38:09,960 --> 01:38:11,800
Speaker 1: in my life. From the very beginning. That's something wrong

1685
01:38:11,840 --> 01:38:15,479
Speaker 1: with the campaign referring to the allegation that Trump colluded

1686
01:38:15,520 --> 01:38:18,320
Speaker 1: with Russia turned out to be complete in total bs

1687
01:38:18,960 --> 01:38:21,920
Speaker 1: covered extensively by the same alphabet networks. We just not

1688
01:38:22,040 --> 01:38:25,679
Speaker 1: talked about regarding President Trump being the most deplorable person

1689
01:38:26,880 --> 01:38:31,200
Speaker 1: Maxine Waters ever met. Do you know who Joanne Chezimard

1690
01:38:31,360 --> 01:38:33,840
Speaker 1: is C H E S I M A R D.

1691
01:38:36,600 --> 01:38:41,240
Speaker 1: She was a former black panther nineteen seventy three, shot

1692
01:38:41,280 --> 01:38:46,160
Speaker 1: and killed a New Jersey state trooper. Found guilty of murder,

1693
01:38:48,160 --> 01:38:51,920
Speaker 1: sentenced to life, she escaped from prison and fled to Cuba.

1694
01:38:53,360 --> 01:38:56,160
Speaker 1: For years, she was number one on the FBI's most

1695
01:38:56,200 --> 01:39:02,280
Speaker 1: wanted list. Congress passed a resolution asking Fidel Castro to

1696
01:39:02,400 --> 01:39:04,360
Speaker 1: extradite her back to the United States. Of course he

1697
01:39:04,400 --> 01:39:10,360
Speaker 1: didn't do it. Guess who wrote Castro a letter urging

1698
01:39:10,439 --> 01:39:14,040
Speaker 1: him to let the quote persecuted political activists close quote

1699
01:39:14,040 --> 01:39:20,559
Speaker 1: stay in Cuba and compared her to Martin Luther King

1700
01:39:24,800 --> 01:39:28,960
Speaker 1: and claimed that Chasmarer had been quote persecuted for her

1701
01:39:29,000 --> 01:39:34,920
Speaker 1: civil rights work close quote Maxine Waters. But Donald Trump

1702
01:39:34,960 --> 01:39:38,880
Speaker 1: is the most deplorable person she's ever met. As far

1703
01:39:38,920 --> 01:39:40,680
Speaker 1: as I know, Donald Trump has never murdered a New

1704
01:39:40,720 --> 01:39:45,040
Speaker 1: Jersey state trooper. Maybe I'm wrong, maybe it hit the papers.

1705
01:39:45,040 --> 01:39:49,080
Speaker 1: I just didn't read it that day. This is just demented,

1706
01:39:51,080 --> 01:39:56,680
Speaker 1: just demented. Stephanie is in Marina del Ray. Stephanie, you're

1707
01:39:56,680 --> 01:39:58,600
Speaker 1: in the Larial the show. Thank you so much for calling.

1708
01:40:00,280 --> 01:40:00,760
Speaker 19: Hi there.

1709
01:40:00,920 --> 01:40:02,799
Speaker 27: Thank you, Larry. I'm a little nervous.

1710
01:40:03,000 --> 01:40:04,280
Speaker 28: I'm not used to this.

1711
01:40:04,400 --> 01:40:07,479
Speaker 27: I'm a big fan of yours. I even met you

1712
01:40:07,600 --> 01:40:10,400
Speaker 27: some years ago with my friend Olga. Shout out to her.

1713
01:40:11,880 --> 01:40:12,280
Speaker 29: Thank you.

1714
01:40:12,760 --> 01:40:13,280
Speaker 28: Uh.

1715
01:40:13,320 --> 01:40:15,840
Speaker 27: So I'm calling you because I have tried calling some

1716
01:40:15,920 --> 01:40:19,360
Speaker 27: authorities without much luck. I've called the local the local

1717
01:40:19,439 --> 01:40:24,400
Speaker 27: FBI office here, I've called the state GOP office about this,

1718
01:40:24,840 --> 01:40:28,240
Speaker 27: and it's just uh maybe it's a huge coincidence, but

1719
01:40:28,439 --> 01:40:31,839
Speaker 27: it's just something unsettling about something that happened on election

1720
01:40:32,000 --> 01:40:35,640
Speaker 27: date in my area, and I just wanted so I

1721
01:40:35,680 --> 01:40:41,400
Speaker 27: thought I should call Larry, especially after today Sally when

1722
01:40:41,400 --> 01:40:44,240
Speaker 27: he was on the Ingram Show, he mentioned a tip line,

1723
01:40:44,439 --> 01:40:47,360
Speaker 27: but they didn't give a tip line number, and there's

1724
01:40:47,400 --> 01:40:50,720
Speaker 27: no tip line that I can find online. So that

1725
01:40:50,760 --> 01:40:53,559
Speaker 27: would be a huge help if people actually had a

1726
01:40:53,600 --> 01:40:57,280
Speaker 27: tip line that was posted everywhere for things like I'm

1727
01:40:57,320 --> 01:41:00,000
Speaker 27: about to describe to you would make such a huge

1728
01:41:00,200 --> 01:41:03,880
Speaker 27: difference for this mess that we have going on here.

1729
01:41:04,880 --> 01:41:08,240
Speaker 19: So I don't know if I'm talking too much or no, no, no, no.

1730
01:41:07,840 --> 01:41:12,519
Speaker 1: Please Uh Bill, BILLI Saley is investigating allegations of voter fraud.

1731
01:41:13,120 --> 01:41:15,000
Speaker 1: I'm surprised he didn't give out the number.

1732
01:41:15,479 --> 01:41:15,639
Speaker 15: Uh.

1733
01:41:15,680 --> 01:41:17,800
Speaker 1: And also so is Steve Hilton. He's got a whole

1734
01:41:17,840 --> 01:41:21,120
Speaker 1: staff already and willing and able to hear tips about election.

1735
01:41:21,200 --> 01:41:23,519
Speaker 1: Frost will be sharing in contact the Hilton campaign as well.

1736
01:41:24,400 --> 01:41:27,040
Speaker 27: Yeah, I'm gonna put a paragraph, a big, huge thing

1737
01:41:27,120 --> 01:41:30,519
Speaker 27: together tomorrow on my day off. So I'm gonna put

1738
01:41:30,520 --> 01:41:32,640
Speaker 27: a letter together for that.

1739
01:41:33,000 --> 01:41:34,839
Speaker 1: So tell me, tell me about the activity.

1740
01:41:34,840 --> 01:41:35,000
Speaker 21: What?

1741
01:41:35,000 --> 01:41:35,880
Speaker 1: What was this? What was it?

1742
01:41:36,720 --> 01:41:38,040
Speaker 27: So Monday night.

1743
01:41:38,880 --> 01:41:41,760
Speaker 28: Let me preface by saying, in the ten years we've

1744
01:41:41,800 --> 01:41:46,160
Speaker 28: lived in this condo, two hours, if most ever, we

1745
01:41:46,240 --> 01:41:48,800
Speaker 28: would have a Wi Fi lost connection. And this is

1746
01:41:48,840 --> 01:41:50,479
Speaker 28: not Wi Fi in the unit.

1747
01:41:50,560 --> 01:41:53,719
Speaker 27: It was an area of thought Wi Fi outage connection

1748
01:41:54,280 --> 01:41:58,120
Speaker 27: through Spectrum. On the day of election, even the diner

1749
01:41:58,360 --> 01:42:01,360
Speaker 27: even had to be closed. My dad goes to so

1750
01:42:01,400 --> 01:42:04,120
Speaker 27: it affected businesses and then I googled it. If I'm

1751
01:42:04,120 --> 01:42:06,560
Speaker 27: in the marina on the city side, and people a

1752
01:42:06,680 --> 01:42:09,679
Speaker 27: mar vistas that have happened there in Venice since two

1753
01:42:09,680 --> 01:42:15,560
Speaker 27: pm on Monday, and this was out until Wednesday afternoon.

1754
01:42:15,800 --> 01:42:19,920
Speaker 27: It was after the whole election. And Spectrum's explanation was

1755
01:42:20,120 --> 01:42:23,760
Speaker 27: it was a wire cut and it was never even

1756
01:42:23,960 --> 01:42:27,519
Speaker 27: on the reporting outage mass outerage reporting you know that

1757
01:42:27,640 --> 01:42:30,000
Speaker 27: stuff you see when you Google, you know about your

1758
01:42:30,040 --> 01:42:35,960
Speaker 27: area online and after that or I should say this

1759
01:42:36,160 --> 01:42:39,040
Speaker 27: is a mixed area. We even had a Trump T

1760
01:42:39,200 --> 01:42:43,000
Speaker 27: shirt booth at the other shopping center in the twenty

1761
01:42:43,000 --> 01:42:45,400
Speaker 27: four election that no one protested.

1762
01:42:46,080 --> 01:42:48,960
Speaker 1: Stephane, hold on, hold on, hold on, we want a

1763
01:42:48,960 --> 01:42:50,720
Speaker 1: break right now. Hold on. I want to ask you

1764
01:42:51,040 --> 01:42:54,440
Speaker 1: how do you think that affected the election? Don't go away, Stephanie.

1765
01:42:54,680 --> 01:42:56,679
Speaker 1: And when it comes to supplements, there are two things

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1773
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Speaker 1: return home from Vietnam as a combat vet, wounded several times,

1774
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Speaker 1: he decided to become a doctor to help people to

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Speaker 1: one s E E Triple eight nine seven one seven

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Speaker 1: two four three, Larry Elder Sale, and the Loose Channel.

1783
01:44:00,760 --> 01:44:05,160
Speaker 1: Regarding media bias, Media Research Center looked at the first

1784
01:44:05,200 --> 01:44:07,720
Speaker 1: one hundred days of Trump two point zero versus the

1785
01:44:07,760 --> 01:44:09,120
Speaker 1: first one hundred days of Biden.

1786
01:44:11,520 --> 01:44:11,840
Speaker 29: Bry Day.

1787
01:44:11,880 --> 01:44:16,439
Speaker 1: I'm talking about ABC, CBS, NBC first hundred days nine

1788
01:44:17,200 --> 01:44:23,160
Speaker 1: negative coverage, firste hundred days of Biden fifty nine percent

1789
01:44:23,880 --> 01:44:29,599
Speaker 1: positive coverage. This is while the borders were wide open,

1790
01:44:30,160 --> 01:44:36,639
Speaker 1: people were pouring through the country. Let's hear President Trump

1791
01:44:36,640 --> 01:44:40,360
Speaker 1: again with Christian Welker of NBC number thirty two.

1792
01:44:41,600 --> 01:44:44,599
Speaker 5: It was a dirty election. This is happening again right now.

1793
01:44:44,640 --> 01:44:50,920
Speaker 18: In happen now in California, right now, it's looking look

1794
01:44:50,920 --> 01:44:55,800
Speaker 18: at what's happened in California. It's in California.

1795
01:44:55,920 --> 01:44:57,080
Speaker 5: It's well, they're not there.

1796
01:44:57,160 --> 01:44:58,840
Speaker 18: They're dropping fast because.

1797
01:44:58,600 --> 01:45:02,720
Speaker 5: It's a rigged election. Let me tell you, it's four days.

1798
01:45:02,479 --> 01:45:04,559
Speaker 18: And they aren't even close to coming up there.

1799
01:45:04,840 --> 01:45:05,160
Speaker 8: They can't.

1800
01:45:05,160 --> 01:45:07,160
Speaker 18: You know why they're doing that, because they're cheating on

1801
01:45:07,200 --> 01:45:07,880
Speaker 18: the election there.

1802
01:45:08,080 --> 01:45:09,000
Speaker 11: What do you have evidence?

1803
01:45:09,960 --> 01:45:11,880
Speaker 5: You'll have to do is look or have to do.

1804
01:45:12,800 --> 01:45:15,519
Speaker 18: I listen and I listen to people, and let's see

1805
01:45:15,520 --> 01:45:16,160
Speaker 18: what happens.

1806
01:45:16,400 --> 01:45:17,120
Speaker 11: That's not evident.

1807
01:45:17,160 --> 01:45:19,639
Speaker 5: You think it's appropriate. That's how they have the votes.

1808
01:45:19,920 --> 01:45:22,880
Speaker 18: You think it's appropriate that they have an election and

1809
01:45:23,040 --> 01:45:25,639
Speaker 18: five days later they're nowhere close to picking.

1810
01:45:25,920 --> 01:45:28,840
Speaker 11: Local officials acknowledge. They are slow. They're urging.

1811
01:45:29,040 --> 01:45:29,559
Speaker 5: They're crooked.

1812
01:45:29,720 --> 01:45:31,479
Speaker 11: They're urging the votes to be counted quickly.

1813
01:45:31,520 --> 01:45:33,839
Speaker 5: That's how they very crooked, just like your crooked.

1814
01:45:33,920 --> 01:45:36,240
Speaker 18: Your press is crooked, and meet the presence crooked.

1815
01:45:36,320 --> 01:45:38,000
Speaker 11: To be fair, I'm not crooked.

1816
01:45:37,680 --> 01:45:40,080
Speaker 18: But really, well, you play right into their hands out

1817
01:45:40,720 --> 01:45:43,639
Speaker 18: you're either crooked or you're stupid. You play right into

1818
01:45:43,680 --> 01:45:47,440
Speaker 18: their hands with this rap. You know that these elections

1819
01:45:47,560 --> 01:45:50,720
Speaker 18: are rigged. Your network knows.

1820
01:45:50,400 --> 01:45:51,160
Speaker 5: That they're rigged.

1821
01:45:51,360 --> 01:45:54,480
Speaker 18: You know that I won an election in a landslide

1822
01:45:54,760 --> 01:45:57,920
Speaker 18: and I got ninety four bad press.

1823
01:45:58,080 --> 01:45:59,840
Speaker 5: You know why I got that present because you have

1824
01:45:59,840 --> 01:46:01,439
Speaker 5: no credibility.

1825
01:46:00,840 --> 01:46:03,080
Speaker 11: But you've never presented evidence that it was ried. Let's

1826
01:46:03,120 --> 01:46:04,439
Speaker 11: keep talking about I want to talk about Tom.

1827
01:46:04,600 --> 01:46:05,720
Speaker 5: You have more evidence.

1828
01:46:05,840 --> 01:46:09,000
Speaker 18: There's more evidence than ever presented.

1829
01:46:09,160 --> 01:46:10,960
Speaker 11: Let's talk to your elections in this.

1830
01:46:11,120 --> 01:46:15,040
Speaker 18: Country were like a third world country. Your elections are crooked,

1831
01:46:15,280 --> 01:46:18,360
Speaker 18: and your crooked, and these depresses crooked, and so is

1832
01:46:18,439 --> 01:46:24,400
Speaker 18: ABC and CBS and CNN through one sided crooked networks. Right,

1833
01:46:24,560 --> 01:46:26,280
Speaker 18: let's call it question because I've had enough.

1834
01:46:26,520 --> 01:46:27,679
Speaker 5: Thank you, darling, have a good time.

1835
01:46:27,920 --> 01:46:31,439
Speaker 11: President. Let's please I traveled all the way to Wisconsin.

1836
01:46:31,240 --> 01:46:31,320
Speaker 23: I.

1837
01:46:33,240 --> 01:46:37,679
Speaker 5: Know, on and off in the rain, and I've given

1838
01:46:37,720 --> 01:46:40,000
Speaker 5: you enough time. You want to straighten.

1839
01:46:39,640 --> 01:46:42,799
Speaker 18: Out your press, because you know what, the country can never.

1840
01:46:42,640 --> 01:46:45,920
Speaker 11: Be great traveled with you traveled all the way to

1841
01:46:46,000 --> 01:46:47,160
Speaker 11: Wisconsin for.

1842
01:46:47,280 --> 01:46:50,680
Speaker 1: The Let me say something about her allegation that he

1843
01:46:50,760 --> 01:46:55,800
Speaker 1: was not giving any evidence. Harry Reid was the Democrat

1844
01:46:56,000 --> 01:47:00,320
Speaker 1: leader in the Senate during the twenty twelve race show

1845
01:47:00,360 --> 01:47:02,759
Speaker 1: that the good chance Mitt Romney would make Barack Obama

1846
01:47:02,800 --> 01:47:07,519
Speaker 1: a one term president. Harry Reid stood on the floor

1847
01:47:07,520 --> 01:47:11,200
Speaker 1: of the Senate and said mitt Romney has not paid

1848
01:47:11,520 --> 01:47:16,680
Speaker 1: any taxes, and a large number of Americans believe that

1849
01:47:18,120 --> 01:47:22,679
Speaker 1: it was a complete and total lie. When Reid was retired,

1850
01:47:23,360 --> 01:47:29,040
Speaker 1: CNN Dana Bash asked him about it, he admits he

1851
01:47:29,080 --> 01:47:33,120
Speaker 1: had no evidence and listened to how he justifies the lie.

1852
01:47:33,360 --> 01:47:34,240
Speaker 1: Number forty seven.

1853
01:47:34,400 --> 01:47:37,200
Speaker 30: You're a polarizing figure, and a lot of Republicans actually

1854
01:47:37,360 --> 01:47:42,080
Speaker 30: blame you personally for the way Congress and Washington in

1855
01:47:42,080 --> 01:47:45,120
Speaker 30: general has gotten so highly partisan in the last couple

1856
01:47:45,200 --> 01:47:45,639
Speaker 30: of years.

1857
01:47:46,040 --> 01:47:50,120
Speaker 31: That's interesting. High serve as for a long time, and

1858
01:47:50,320 --> 01:47:53,880
Speaker 31: the Republicans were refuse even their praise for me.

1859
01:47:54,560 --> 01:47:57,160
Speaker 32: That was before he used the Senate floor to go

1860
01:47:57,240 --> 01:48:00,760
Speaker 32: after GOP mega donors the Koch Brothers and accused mitt

1861
01:48:00,840 --> 01:48:04,760
Speaker 32: Romney of not paying his taxes with no sense, let.

1862
01:48:04,720 --> 01:48:07,280
Speaker 31: Im prove that he has paid taxes because he hasn't.

1863
01:48:07,320 --> 01:48:07,960
Speaker 14: Oh, I don't.

1864
01:48:07,760 --> 01:48:08,479
Speaker 31: Regret that at all.

1865
01:48:08,640 --> 01:48:11,200
Speaker 30: The Koch brothers, no one would help me.

1866
01:48:11,400 --> 01:48:13,639
Speaker 31: They were afraid the Coke brothers would go after them,

1867
01:48:13,680 --> 01:48:14,719
Speaker 31: so I did it on my own.

1868
01:48:14,760 --> 01:48:17,240
Speaker 30: So no regrets about mitt Romney, about the Koch brothers.

1869
01:48:17,240 --> 01:48:21,400
Speaker 30: Because some people have even called it McCarthy, i'd well

1870
01:48:21,720 --> 01:48:22,240
Speaker 30: and call.

1871
01:48:22,120 --> 01:48:26,759
Speaker 31: It whatever they want. Romney didn't whin did.

1872
01:48:26,600 --> 01:48:27,400
Speaker 30: He read it?

1873
01:48:28,400 --> 01:48:31,320
Speaker 1: They can call it whatever they want. Romney didn't win,

1874
01:48:31,439 --> 01:48:35,920
Speaker 1: did he? He admits he sat there, stood there and lied.

1875
01:48:37,040 --> 01:48:38,920
Speaker 1: The word in the street is that Mitt Romney has

1876
01:48:38,960 --> 01:48:42,880
Speaker 1: not paid any taxes. The man paid massive taxes, sat

1877
01:48:42,880 --> 01:48:45,920
Speaker 1: there and lied. Donald Trump, where's your evidence?

1878
01:48:47,240 --> 01:48:47,479
Speaker 4: Trump?

1879
01:48:49,360 --> 01:48:54,200
Speaker 1: Did you ream? Harry Reid even then? So so that

1880
01:48:54,240 --> 01:48:56,560
Speaker 1: makes it okay. Well, he didn't win, did he? Okay,

1881
01:48:57,560 --> 01:49:06,280
Speaker 1: let's god and get pizza. Evan is in Denver. Evan,

1882
01:49:06,280 --> 01:49:07,920
Speaker 1: you're on the Larry Old the show. Thank you for calling.

1883
01:49:09,800 --> 01:49:11,519
Speaker 21: Oh hey, Larry, how can you hear me?

1884
01:49:11,720 --> 01:49:12,280
Speaker 1: I can hear you?

1885
01:49:14,160 --> 01:49:19,400
Speaker 21: All right. At the end of your conversation with Mark.

1886
01:49:19,080 --> 01:49:23,920
Speaker 16: You ended it saying, hey, blind people, and when you

1887
01:49:24,000 --> 01:49:27,280
Speaker 16: hate somebody so much, it blinds you to something, even

1888
01:49:27,280 --> 01:49:28,960
Speaker 16: when it's right in front of your face.

1889
01:49:29,720 --> 01:49:32,479
Speaker 21: And a perfect example of that is.

1890
01:49:32,600 --> 01:49:36,800
Speaker 16: The health of Joe Biden and the media, whether you

1891
01:49:36,840 --> 01:49:41,679
Speaker 16: want to say they're dishonest and completely lied for four years,

1892
01:49:41,840 --> 01:49:44,640
Speaker 16: or they didn't see what was right in front of

1893
01:49:44,640 --> 01:49:48,799
Speaker 16: their face, people like Jake Tapper, Joe Scarborough a perfect

1894
01:49:48,840 --> 01:49:49,720
Speaker 16: example to that.

1895
01:49:50,080 --> 01:49:52,160
Speaker 21: And then it goes all the way up to his

1896
01:49:52,280 --> 01:49:55,760
Speaker 21: wife who lied to everybody right after the debate, And

1897
01:49:55,800 --> 01:49:59,880
Speaker 21: it was only after we put the man out in

1898
01:50:00,040 --> 01:50:02,280
Speaker 21: from the world and from the man that they hate

1899
01:50:02,320 --> 01:50:06,200
Speaker 21: so much, and he was made look he looked like

1900
01:50:06,240 --> 01:50:10,960
Speaker 21: a buffoon. Then in hindsight, hindsight's twenty twenty, right, then

1901
01:50:11,080 --> 01:50:14,200
Speaker 21: may see it. But you know, even some people that

1902
01:50:14,280 --> 01:50:16,519
Speaker 21: hate him so much, they're still won't be in denial.

1903
01:50:16,840 --> 01:50:17,000
Speaker 5: You know.

1904
01:50:17,160 --> 01:50:20,360
Speaker 21: That's where you got people saying Donald Trump's health is

1905
01:50:20,400 --> 01:50:23,479
Speaker 21: bad now and they can't it broke their brain.

1906
01:50:23,600 --> 01:50:24,240
Speaker 8: What is it?

1907
01:50:23,960 --> 01:50:27,560
Speaker 21: It's the the s It's terrible.

1908
01:50:28,000 --> 01:50:35,799
Speaker 1: Broke their brain. Biden is stumbling, fumbling, falling over stages,

1909
01:50:38,800 --> 01:50:40,920
Speaker 1: and they still I'll tell you what I've known the

1910
01:50:40,920 --> 01:50:45,160
Speaker 1: bidens for decades, and few if you don't see it.

1911
01:50:46,040 --> 01:50:48,880
Speaker 1: This Joe Biden is the best version I've ever seen.

1912
01:50:48,920 --> 01:50:51,759
Speaker 1: You know, he used to be a high at not anymore,

1913
01:50:52,439 --> 01:50:54,960
Speaker 1: and few if you don't see it, said Joe Scarborough.

1914
01:50:58,080 --> 01:51:01,599
Speaker 1: And now the very same people that ignored Biden's obvious

1915
01:51:01,600 --> 01:51:07,360
Speaker 1: decline are now saying Trump is in decline. Well, you know,

1916
01:51:07,640 --> 01:51:10,679
Speaker 1: life moves fast, and staying sharp, focused and clear headed

1917
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Speaker 1: isn't always easy. That's why the same company that brings

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1919
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Speaker 1: Think Factor is made to help you think clearer and

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1921
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Speaker 1: unlock mental clarity and precision, nurture your memory, and boost

1922
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Speaker 1: your attention. With think Factor, brain power and performance finally

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1924
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1925
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1931
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Speaker 1: felt more clear, more focused, and more in control of

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Speaker 1: my day, now you can try think Factor today and

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Speaker 1: nineteen ninety five, Triple eight nine seven one Sage Triple

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Speaker 1: eight ninety seven one seven two four three. I Am

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Speaker 1: Larry Elder. We are sale on Deuce Channel. Everything so

1939
01:52:35,880 --> 01:52:38,479
Speaker 1: far in the show has been so grim. Can we

1940
01:52:38,520 --> 01:52:41,120
Speaker 1: just lighten up things just a little bit? Do you mind?

1941
01:52:41,200 --> 01:52:41,960
Speaker 1: Number twenty nine.

1942
01:52:43,600 --> 01:52:45,479
Speaker 29: I was coming in from Borhemore to do the show,

1943
01:52:46,040 --> 01:52:49,160
Speaker 29: and well, I was on the train there and I'm

1944
01:52:49,160 --> 01:52:51,920
Speaker 29: settling my seat. I'm very relax, very relax, And the

1945
01:52:51,920 --> 01:52:54,360
Speaker 29: first thought that passed through my mind was too familiarize

1946
01:52:54,360 --> 01:52:57,679
Speaker 29: myself with the surroundings. And I glanced across the eid

1947
01:52:58,320 --> 01:53:00,719
Speaker 29: and I noticed that the lady part in the seat

1948
01:53:00,720 --> 01:53:02,439
Speaker 29: there had her baby with her.

1949
01:53:03,280 --> 01:53:07,800
Speaker 8: Ugly baby. You bad looking baby.

1950
01:53:08,200 --> 01:53:11,519
Speaker 29: Now, generally I'd hesitate about passing an opinion about somebody's kid,

1951
01:53:11,600 --> 01:53:13,360
Speaker 29: but this wa even if I don't say it, it's

1952
01:53:13,400 --> 01:53:14,200
Speaker 29: an ugly baby.

1953
01:53:14,360 --> 01:53:17,560
Speaker 8: I I only took one quick.

1954
01:53:17,280 --> 01:53:18,200
Speaker 5: Look like that.

1955
01:53:20,640 --> 01:53:22,639
Speaker 29: And from the front of the coach comes this guy.

1956
01:53:22,680 --> 01:53:25,559
Speaker 8: To guys, he's had a few And as.

1957
01:53:25,439 --> 01:53:27,479
Speaker 29: He approached the section where the woman was with the baby,

1958
01:53:27,560 --> 01:53:31,880
Speaker 29: he stops and he's staring like that and the woman,

1959
01:53:31,960 --> 01:53:33,960
Speaker 29: the woman's watching him, She's watching him from the corner

1960
01:53:33,960 --> 01:53:34,280
Speaker 29: her eye.

1961
01:53:34,320 --> 01:53:35,360
Speaker 8: She says, to what are you looking at?

1962
01:53:36,000 --> 01:53:41,479
Speaker 29: The guy says, I'm looking at that ugly baby, and that's.

1963
01:53:41,360 --> 01:53:42,400
Speaker 8: A bad looking baby.

1964
01:53:42,439 --> 01:53:51,520
Speaker 29: Lady, I can't save a lot of money with that baby.

1965
01:53:52,960 --> 01:53:54,759
Speaker 29: They don't have to hire any baby, said an't nobody's

1966
01:53:54,760 --> 01:54:00,559
Speaker 29: gonna bother that kid.

1967
01:54:00,560 --> 01:54:03,360
Speaker 8: No any gets offended, she gets offended.

1968
01:54:06,479 --> 01:54:09,800
Speaker 2: Does that make sense? As he pulled the emergency caught

1969
01:54:09,840 --> 01:54:10,400
Speaker 2: the train stop.

1970
01:54:10,400 --> 01:54:11,240
Speaker 8: There's a big scene.

1971
01:54:11,280 --> 01:54:13,240
Speaker 29: Now, well, everybody's crowding around there, and you know the

1972
01:54:13,280 --> 01:54:15,080
Speaker 29: guy will goes through the train selling those twenty five

1973
01:54:15,080 --> 01:54:16,720
Speaker 29: s in sandwiches for a buck and a half. And

1974
01:54:18,640 --> 01:54:21,400
Speaker 29: he comes in, big scena conductor comes in, Kentuckius, what's gone?

1975
01:54:21,439 --> 01:54:22,160
Speaker 5: He's gone here?

1976
01:54:22,520 --> 01:54:24,920
Speaker 29: And the lady said, this fella just insulted me. And

1977
01:54:25,000 --> 01:54:26,560
Speaker 29: I don't have to spend my money and ride this

1978
01:54:26,640 --> 01:54:29,600
Speaker 29: railroad and be insulted. M Conucchiu said, now, calm down me,

1979
01:54:30,280 --> 01:54:33,160
Speaker 29: he said, madam, the Pennsylvania Railroad, we'll go to any

1980
01:54:33,240 --> 01:54:36,720
Speaker 29: length to avoid having differences between the passengers. He said,

1981
01:54:36,760 --> 01:54:38,520
Speaker 29: perhaps it would be more to your convenience if we

1982
01:54:38,520 --> 01:54:42,760
Speaker 29: were to rearrange your seating, and as a small compensation

1983
01:54:42,840 --> 01:54:45,760
Speaker 29: from the railroad, if you'll accompany me to the dining car,

1984
01:54:45,840 --> 01:54:48,520
Speaker 29: we'll give you a free meal. Maybe we'll find a

1985
01:54:48,520 --> 01:54:49,480
Speaker 29: banana for your money.

1986
01:55:22,640 --> 01:55:27,280
Speaker 1: Funny phones, I've never heard, the great Flip Wilson on

1987
01:55:27,320 --> 01:55:31,960
Speaker 1: The Johnny Carson Show. Don't forget Sagewireless dot Com, same

1988
01:55:32,080 --> 01:55:34,600
Speaker 1: nationwide network clan from twenty five to sixty dollars a month,

1989
01:55:34,760 --> 01:55:37,040
Speaker 1: Keep your phone, keep your number percentage every bill feeds

1990
01:55:37,160 --> 01:55:40,000
Speaker 1: families some food for the poor. Sagewireless dot Com. That's

1991
01:55:40,000 --> 01:55:42,400
Speaker 1: Sage Wireless dot Com.

1992
01:55:42,720 --> 01:55:49,560
Speaker 4: What can I say, harmble, but Mike has been rough

1993
01:55:49,800 --> 01:55:51,080
Speaker 4: all across America.

1994
01:55:51,360 --> 01:55:51,840
Speaker 8: That's enough.

1995
01:55:51,880 --> 01:56:02,000
Speaker 5: Put down the mic. The Larry Elder Show, dip contact,

1996
01:56:03,480 --> 01:56:04,120
Speaker 5: did you cont