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Speaker 1: Well, we'll come in your city.

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Speaker 2: They are saying you.

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Speaker 1: A comfort zell will be higher, a little gel and

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Speaker 1: if you want a little banging.

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Speaker 2: Again, I come along.

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Speaker 3: I'm the politicians, the governors and mayors who constantly attack

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Speaker 3: this man.

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Speaker 4: William, please stop, and I'm burying the body else.

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Speaker 5: It is clear that they are criminals.

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Speaker 3: It is clear that they have killed people. Lower the

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Speaker 3: price of everything from health carecter a cost to college

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Speaker 3: to jump fees and airline tickets and credit cards.

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Speaker 2: It appears that the people at the highest levels of

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Speaker 2: responsibility in the government of the state of Minnesota looked

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Speaker 2: the other way.

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Speaker 5: Freedom is back in style.

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Speaker 1: Welcome to the revolution, Aware, coming to your SENTI.

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Speaker 6: The way against Allas and sane you are conscious song

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Speaker 6: New Sean Hannity Show, More me, I'm the scenes, information

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Speaker 6: on freaking news and more bold inspired solutions for America.

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Speaker 6: Got up next our final news roundup and information overload hour.

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Speaker 4: Hey, it's Mark Simone here for Sean Hannity. Normally you

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Speaker 4: hear me on w o R in New York, our

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Speaker 4: big flagship station. Hey with us right now. Devin Noon

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Speaker 4: is a great guy. What a career he's had, and

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Speaker 4: you know, for the last few years he's been the

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Speaker 4: CEO of Trump Media and Technology Group, and right now

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Speaker 4: you know they're about to merge with THAE Technologies. That's

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Speaker 4: all about energy, dominance, AI, all sorts of stuff important

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Speaker 4: for the country and it's a massive merger. And he's

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Speaker 4: with us right now, Devin, noon, is how you doing, Hey.

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Speaker 2: Marcus, great to be on with you. Merry Christmas too

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Speaker 2: and your listeners. And hopefully Sean's out having a great

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Speaker 2: little time away from the airways.

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Speaker 4: Yeah he I'm sure he is. Now you what you

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Speaker 4: do now with this is very complex stuff And like

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Speaker 4: I'm just reading this the merger Bold experiment for the

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Speaker 4: next generation of baseload energy through a Meme stock vehicle.

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Speaker 4: That sounded good, but I don't know what the hell

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Speaker 4: I just said, what is it?

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Speaker 2: Well, the fake news is always going to fake news.

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Speaker 2: I'll just give you the quick rundown. We had to

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Speaker 2: start a company several years ago to build truth Social,

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Speaker 2: not because President Trump needed a new company. In fact,

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Speaker 2: he didn't need a new company, but we had no

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Speaker 2: way to get our voices back, so we had to

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Speaker 2: build True Social. That was a monumental task. We did

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Speaker 2: it all without big tech We did it with our

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Speaker 2: own technology, proprietary technology. And now we're open globally and

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Speaker 2: we stream globally, and we have a very sophisticated team

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Speaker 2: of soft we're engineers as we Finally, we fought through

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Speaker 2: the Biden administration to go public. The Trump Media and

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Speaker 2: Technology Group, the ticker symbols DJT. Biden tried to stop

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Speaker 2: that company from going public. Finally we won that battle

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Speaker 2: about a year and a half ago, in the spring

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Speaker 2: of twenty twenty four of the election year, we went public.

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Speaker 2: Through that process. We have said that hey, we saw

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Speaker 2: we won pre speech. We won that battle. We did

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Speaker 2: what we set out to do, and then as a

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Speaker 2: public company, we said, what are we going to do next?

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Speaker 2: It's going to mean a lot to the American people,

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Speaker 2: mean a lot to the world. And as everybody knows now,

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Speaker 2: AI is eating up in these data centers, are eating

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Speaker 2: up more and more energy. Everybody's using more electricity. We

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Speaker 2: are in a race against China as to who's going

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Speaker 2: to be AI dominant. And what we have done as

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Speaker 2: a country, and I fought this when I was in

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Speaker 2: the back in the Congress. We twenty years ago said well,

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Speaker 2: we're going to build windmills and solar panels and it's going

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Speaker 2: to be great. China said, we're going to build coal

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Speaker 2: fired power plants, and we're going to build nuclear reactors,

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Speaker 2: and we're going to crush everybody around the world. And

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Speaker 2: in fact, now China's producing three and a half four

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Speaker 2: times more energy than we are. They're producing baseload power

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Speaker 2: that's much cheaper, and we're way behind. So we are

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Speaker 2: ahead in AI and in data centers that we're behind

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Speaker 2: and energy production. And as you probably know being there

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Speaker 2: in New York, the electricity rates, especially in blue in

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Speaker 2: blue states and blue cities are skyrocketing. The Red States

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Speaker 2: are still you know, Red states even are still going up.

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Speaker 2: But anyway, all cut to the Chase mark. The bottom

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Speaker 2: line is is that we looked around and said, we

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Speaker 2: want to put ourselves at the forefront of the next

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Speaker 2: breaking technology. Where's that going to be? Somebody has to

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Speaker 2: figure out how to crack the code on new nuclear

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Speaker 2: power technology. And so what TAE Technologies has done is

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Speaker 2: they've taken the the nuclear fusion process that was discovered

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Speaker 2: about the same time as the Manhattan Project back during

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Speaker 2: during World War Two. But we went the rout of

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Speaker 2: nuclear fission, which has radioactive wastes associated with it. It's

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Speaker 2: great technology, it's worked, it's provided base load power, you know,

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Speaker 2: for the United States for a long time. But after

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Speaker 2: Three Mile Island and then Chernobyl and Fukushima, it kind

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Speaker 2: of fell out of favor. Well about twenty five thirty

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Speaker 2: years ago, Chuck Schwab, Stanley Drucke, Miller others said, you

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Speaker 2: know what, we need to take this science off the

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Speaker 2: shelf and start studying nuclear fusion, which is which is

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Speaker 2: more similar to like an MRI machine in terms of

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Speaker 2: the radiation, so it's very low radioactivity. This company, all

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Speaker 2: privately funded, went cruising along. They built five prototypes, five

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Speaker 2: generations of reactors, and now they're ready to build their

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Speaker 2: first commercial reactor. And that's where we came in. So

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Speaker 2: we had a big balot sheet, a great team. We're

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Speaker 2: a publicly traded company under the ticker symbol DJT, and

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Speaker 2: we merged with them. We announced that merger here last

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Speaker 2: week and we'll go through the process, but it should

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Speaker 2: should get done in the first half of twenty twenty six.

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Speaker 2: But our company, Trump Media Technology Group will now hold

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Speaker 2: THAE Technologies, which is looking for I say I call

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Speaker 2: this either the Manhattan Project two point zero, but it

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Speaker 2: will be the biggest invention since since the first Manhattan Project,

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Speaker 2: when Admiral Rickover basically figured out that he could power

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Speaker 2: the Navy and power homes with atomic power. This is

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Speaker 2: the next big breakthrough and I know it, you know,

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Speaker 2: and I don't say it lightly as somebody who spent

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Speaker 2: a lot of time on these issues. This is a

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Speaker 2: big race. The Chinese are moving fast towards nuclear fusion

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Speaker 2: and we need to beat them. And our companies put

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Speaker 2: ourselves right in the middle of that.

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Speaker 4: For thumbest thing we ever did in New York was

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Speaker 4: get rid of our nuclear power. Nuclear power is the

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Speaker 4: most effective and cleanest power out there. And if it

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Speaker 4: only argue, will what about the nuclear waste? Well there's

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Speaker 4: technology now that can take care of that easily. But

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Speaker 4: so what you're talking about is the future in many

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Speaker 4: ways for smaller areas, municipalities right at small nuclear fusion facilities.

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Speaker 4: This is if you're into green energy, if you're in

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Speaker 4: and people don't realize, I think how much energy is

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Speaker 4: used up by AI and the Internet and all that.

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Speaker 4: So we really need this, don't we.

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Speaker 2: That's right, And what we're doing This is really breakthrough technology.

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Speaker 2: A lot of people are talking about those smaller reactors

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Speaker 2: that you've read a lot about, but this is actually different.

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Speaker 2: The first commercial reactor is going to be fifty megawatts,

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Speaker 2: which is not small, but it's on the smaller side.

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Speaker 2: But that's just to prove out and study the study

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Speaker 2: and build the technology. But in five, six, seven years

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Speaker 2: we hope to have the science and the engineering. Right now,

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Speaker 2: the plans are currently to build them at three hundred

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Speaker 2: and fifty to five hundred megawatt, which that puts it

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Speaker 2: right on par with all the other big power plants

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Speaker 2: that are out there. So this isn't like some small reactor.

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Speaker 2: These are there. These are small in size but big

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Speaker 2: in power outlets. So if you and you can go

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Speaker 2: to tha ta e dot com and you can you

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Speaker 2: can actually look at all the schematics. You know, sorry

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Speaker 2: TAE dot com if you want to look at it.

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Speaker 2: But these basically fit. And there's the prototype that I've seen.

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Speaker 2: It's in Orange County, California now. But the new one

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Speaker 2: that will go out to find a state, if it

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Speaker 2: will not be California, I can assure you that we

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Speaker 2: will find a state to build this commercial plant in

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Speaker 2: But you know, you're talking about a very small footprint.

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Speaker 2: You know, this will fit within a within a ten

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Speaker 2: thousand square foot warehouse. So it is amazing technology. Granted,

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Speaker 2: you know it's it has not been done before, but

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Speaker 2: the science shows that it's there. And the science has

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Speaker 2: been around for you know, since since World War Two.

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Speaker 2: It's just we haven't we haven't put the effort to it.

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Speaker 2: And partially the breakthrough it it just hasn't been the

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Speaker 2: last you know, tes uh, you know, all the work

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Speaker 2: they've done to build these prototypes. It also is partially

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Speaker 2: due to AI itself and the compute power because having

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Speaker 2: computers that operate so quickly have made it easier to

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Speaker 2: develop and harness the plasma. So it is a big breakthrough.

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Speaker 2: This is a big you know, this is a big move.

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Speaker 2: And like I said, I don't say it lightly that

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Speaker 2: this is the Manhattan Project two point zero and it

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Speaker 2: will have that effect when successful.

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Speaker 4: And some of the smartest billionaires I know, for you,

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Speaker 4: a couple of years now, I've been talking about this

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Speaker 4: as the future and a hell of an investment of

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Speaker 4: the average person wants to invest in this. How do

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Speaker 4: they do that?

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Speaker 2: Well, yeah, we're we're publicly traded so under the ticker

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Speaker 2: symbol dj T Trump Media and Technology Group.

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Speaker 4: All right, excellent idea. Uh, definitely the future. And uh

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Speaker 4: now just explain to people, especially these green climate change

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Speaker 4: I don't think they realize a Google search burns a

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Speaker 4: ton of energy and AI how much energy does that use?

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Speaker 2: Yeah, you know that's a it's it's a it's a

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Speaker 2: good point. The all the global warming alarmists are all

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Speaker 2: heavily invested into all these big tech companies that are

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Speaker 2: using that are using more and more power. So look,

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Speaker 2: I don't I don't try to get into uh it's

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Speaker 2: hard to read the you know what's true and what's not.

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Speaker 2: But I just I bring it down to this. Number one,

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Speaker 2: we're using more power, not less. Number two, we're already

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Speaker 2: paying too much for power. We're not competitive against play

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Speaker 2: against countries like China. So we need to lower the

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Speaker 2: costs for the energy we're using today. Now, some people

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Speaker 2: say we're gonna need in five years, we're gonna need

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Speaker 2: double the electricity. I have no idea if that's true,

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Speaker 2: but I just know that we need need better uh

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Speaker 2: base load power. We're not going to do it with

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Speaker 2: windmills and solar panels. But we can do it with nuclear,

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Speaker 2: with nuclear power, especially nuclear fusion. And that's you know,

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Speaker 2: I've been a big believer that my whole my whole

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Speaker 2: career when I was in a public servant. But and look,

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Speaker 2: and I don't. I don't do this mark because I'm

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Speaker 2: you know, I'm a you know, I want you know,

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Speaker 2: clean energy. I mean, but yeah, everybody does want clean energy.

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Speaker 2: I'm not as a guy who used to drive farm

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Speaker 2: equipment around and deesel motors and everything else, I want

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Speaker 2: to have you know, as clean as air as possible.

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Speaker 2: But most importantly to me is can it be done

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Speaker 2: as cheap or cheaper than what we can produce existing

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Speaker 2: power today? And the answer is it should be competitive

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Speaker 2: with natural gas, coal, et cetera. I think it should be.

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Speaker 2: We estimate, you know, somewhere right around that eight to

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Speaker 2: ten cents a killowok costs, which is which is right

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Speaker 2: in line with what what the base power cost is

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Speaker 2: in most places now, out places like California, now we're

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Speaker 2: upparts of forty fifty cents or kill a lot. But

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Speaker 2: that's a whole nother story.

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Speaker 4: And other countries. France twenty five percent nuclear powered, but

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Speaker 4: we're way behind in that area. So this is a

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Speaker 4: very very important technology. Tell people again where to go

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Speaker 4: to where to look into this.

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Speaker 2: Yeah, well you can go to TA dot com or

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Speaker 2: you can just go to Trump Media and Technology Group

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Speaker 2: TMTG dot com. But yeah, it's or just go to

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Speaker 2: truth Social. You can read all about it on true

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Speaker 2: Social too, if you're if you have a true Social account,

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Speaker 2: we're putting out all kinds of information that you can

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Speaker 2: see there.

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Speaker 4: Yeah. Hey, one more thing. You know, things come and

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Speaker 4: go in the digital technology Internet age. Things come and go.

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Speaker 4: But when it comes to truth Social or Twitter, that's it.

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Speaker 4: That's here to stay, isn't it. It's not going anywhere.

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Speaker 2: Yeah. We well we've developed you know, unbreakable technology, right,

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Speaker 2: so it's it's you know, nobody can shut us down.

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Speaker 2: The reason we stood up and formed as a company

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Speaker 2: as I started with this was not President Trump didn't

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Speaker 2: need a new company, I didn't need a new job.

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Speaker 2: Everybody was perfectly fine. But Twitter, Facebook, YouTube had banned

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Speaker 2: many of us, including the president United States, but millions

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Speaker 2: of Americans were banned from social media and either banned

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Speaker 2: or shadow band. So we stood up this company to

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Speaker 2: save free speech. Now, you know we've developed streaming of

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Speaker 2: the products around it, but we had to build it. Remember,

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Speaker 2: we had to build it without the Googles, without the Amazons,

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Speaker 2: without the Microsoft. So we had to do this on

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Speaker 2: our own and build it worldwide. And you know, it

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Speaker 2: should have never been done. We shouldn't have had to

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Speaker 2: do this. But as your listeners or Shawn's listeners, well know,

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Speaker 2: the country has not you know, been operating the way

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Speaker 2: it should be. It's been a dark chapter of US history,

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Speaker 2: from you know, the Russia hoax, to the to the

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Speaker 2: impeachment hoaxes, to January sixth to what happened with all

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Speaker 2: the people that got banned from the Internet. You know,

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Speaker 2: the skew that's been done on these on these different

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Speaker 2: news sites and websites.

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Speaker 4: It's it's it's.

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Speaker 2: Really scary times if you look at it and you

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Speaker 2: know we're trying to do things, build a foundation, we boom,

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Speaker 2: we open up the Internet, and now we're trying to

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Speaker 2: do something to provide cheap, abundant power to everyone in

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Speaker 2: the United States of America.

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Speaker 4: Well, it's important stuff. Devin Newns, thanks for the great work.

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Speaker 4: Give ever the website again to.

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Speaker 2: Go to yeah, tae dot com or just go to

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Speaker 2: true Social and you can see follow the feeds there.

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Speaker 4: Yeah, everybody do that because this is very important stuff. Well,

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Speaker 4: you've done amazing work, Devin Newns.

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Speaker 3: Thanks for being with us, Hey, Mark, have a great

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Speaker 3: Christmas there in New York.

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Speaker 4: Really appreciate it. Take care. Thanks able to take some

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Speaker 4: calls in a minute eight hundred nine almost gave out

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Speaker 4: the w R number. Wait a minute eight hundred nine

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Speaker 4: four one sean eight hundred nine for one sewn or

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Speaker 4: it's eight hundred ninety four one seven three two six

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Speaker 4: eight hundred nine four one seven three two six is

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Speaker 4: Mark Simone here for Sean on the Sean Hannity Show,

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Speaker 4: and everyone you meet, Oh the messuitle hung were you

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Speaker 4: entertaining Americans? Coast and ghosts?

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Speaker 5: Sean Hannity is on writing.

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Speaker 1: Down all little town of Earth.

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Speaker 7: Host.

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Speaker 1: We see the o of theentreousleep.

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Speaker 4: Now listen to that. Frank Sinatra made a lot of

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Speaker 4: Christmas records.

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Speaker 8: Hey.

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Speaker 4: By the way, Fox Nation the streaming service as the

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Speaker 4: Sinatra documentary. It's like two parts. Each one's like an hour.

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Speaker 4: It's phenomenal. I was going to just watch it for

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Speaker 4: a couple of minutes. I ended up watching a whole

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Speaker 4: two hours.

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Speaker 8: Linda's looker probably did that. Why you should have been

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Speaker 8: Christmas shopping, something you have yet to do for anybody.

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Speaker 4: So, oh, your present is on the way, is it?

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Speaker 8: Indeed you did say earlier you were in it quite

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Speaker 8: a bit.

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Speaker 4: Yeah, I'm actually in the sonata.

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Speaker 3: So you sat and watched yourself for two hours.

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Speaker 4: Oh, I'm only in for a minute here and there.

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Speaker 4: But it's really good. And Linda, you were a singer.

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Speaker 4: You should be watching this listen.

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Speaker 8: I love Frank Sinatra, I love de Morton, I love

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Speaker 8: all of these people. I think they're wonderful.

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Speaker 4: But the story behind the story of Frank Sinatra and

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Speaker 4: how he maneuvered and manipulated his way to the top

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Speaker 4: in a good way, he was just outsmarted him.

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Speaker 8: There is no good way. The music business is dirty

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Speaker 8: and corrupt. You have to do that or you don't

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Speaker 8: get nowhere.

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Speaker 4: But he just figured out stuff. He was like the

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Speaker 4: Steve Jobs of singing. He just figured out stuff nobody

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Speaker 4: else could. But it's called Sinatra Echoes of an Icon

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Speaker 4: and it's on Fox Nation. Do you ever watch that

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Speaker 4: Fox Nation?

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Speaker 8: Absolutely, it's the.

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Speaker 4: Fox streaming service. It's very good and cheap too. I

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Speaker 4: didn't have a subscription, but if you sign up for

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Speaker 4: the whole year, it's actually pretty Uh that's.

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Speaker 8: What everybody wants to hear. He's cheap.

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Speaker 4: No, it's it's cheap compared to Netflix. I mean the

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Speaker 4: price was much better on Fox Nation.

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Speaker 8: Yeah. I canceled my Netflix.

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Speaker 4: Yeah. No, Netflix is great. They got a million selections.

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Speaker 4: I never saw one I like canceled. They're terrible. I

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Speaker 4: like it. They show you twelve thousand choices, not one

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Speaker 4: that you like, not one. Hey, we'll take some calls. Next,

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Speaker 4: it's Mark Simone here on The Sean Hannity Show. Don't

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Speaker 4: go away your sol a merry little Christmas. Let your heart.

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Speaker 1: Line from no O Troubles, We'll be out.

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Speaker 6: Of Hannity uncovers the real truth about the politics of DC.

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Speaker 6: He's your watch dog, one big brother. Every day Hannity

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Speaker 6: is on right now.

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Speaker 2: There you go.

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Speaker 4: Two of the greatest voices, Frank Sinatra and Scott Shennan

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Speaker 4: on The Sean Hannity Show. Mark Simone here, Uh, let's

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Speaker 4: take some calls. Let's go to who's been Oh, let's

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Speaker 4: go to he's been hanging on forty eight minutes. Let's

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Speaker 4: go to Clayton in Texas. Clayton, how you doing?

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Speaker 5: Hey, Mark. First of all, I just want to say

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Speaker 5: Merry Christmas to everyone, and thank you for to everybody

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Speaker 5: that's in the studio today for sacrificing their time with

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Speaker 5: friends and family to be here with us.

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Speaker 2: On the radio.

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Speaker 4: It's Tuesday, it's not Christmas yet, I know, but I

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Speaker 4: gotta be honest. Not everybody's here. We're missing a few

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Speaker 4: people today. Linda's here, Ethan's here.

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Speaker 5: So what I wanted to say was, I'm currently in

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Speaker 5: the middle of the Hunter Biden Sean Ryan podcast interview,

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Speaker 5: and I had to take a break because it's kind

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Speaker 5: of excruciating, but I happened to turn in.

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Speaker 4: Let me ask you a serious question. It's a five

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Speaker 4: and a half hour podcast. You're listening to this Hunter

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Speaker 4: interview after about an hour. If you don't want to

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Speaker 4: just shoot yourself, why would you keep listening? You said

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Speaker 4: you're halfway through. That's two hours. Why would you even

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Speaker 4: go back to it?

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Speaker 5: After about five minutes? I didn't want to listen anymore?

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Speaker 4: But why are you're listening?

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Speaker 5: I think two things as number one, as conservatives, you know,

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Speaker 5: we hold the belief that we don't think the opposition

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Speaker 5: has is bad people with ideas. We think they're people

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Speaker 5: with bad ideas, and so I think for Sean, to

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Speaker 5: give him the platform to espouse his ideas, as much

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Speaker 5: as I might detest or disagree with them, it's good

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Speaker 5: to listen to them to understand, you know, to try

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Speaker 5: and understand where the opposition is coming from.

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Speaker 4: Okay, that takes twelve minutes. Now what are you doing

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Speaker 4: for the other five hours?

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Speaker 5: It's uh. He does a lot of background. He starts

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Speaker 5: from birth to.

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Speaker 4: Who wants to hear that.

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Speaker 5: It helps you understand, It helps to humanize the individuals

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Speaker 5: because again, as Conservatives and Christians, I think, you know,

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Speaker 5: it's important for us to not dehumanize the opposition as

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Speaker 5: much as we might disagree with them, and sometimes to

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Speaker 5: test them. We can't dehumanize on Okay, but.

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Speaker 4: Listen, people are listening to you right now. They're getting

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Speaker 4: a feel for you. You sound like a nice guy,

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Speaker 4: you got a little bit of a Texas accent, you

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Speaker 4: sound like a smart guy. That listen, They've got a

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Speaker 4: good feel for you. Nobody is saying, you know, I

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Speaker 4: have to hear him for five and a half more

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Speaker 4: hours before I can be sure we got a feel

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Speaker 4: for you in a couple of minutes.

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Speaker 5: Well, like I said, it helps me give a better perspective.

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Speaker 4: Are you a truck driver?

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Speaker 5: Know, sir? I'm just on my way to a fellow,

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Speaker 5: a brother ricon relocate from Colorado back to Texas.

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Speaker 4: Okay, because if you're a truck drive, maybe you got

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Speaker 4: five and a half hours, but you shouldn't be listening

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Speaker 4: to that. You could doze off and go right off

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Speaker 4: the road. But layon. Great call, Thanks for calling. Take

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Speaker 4: care now? This who is this? Sean Ryan? What is he?

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Speaker 4: Where's he from? What does he do? Where do you

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Speaker 4: come from?

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Speaker 8: Is a former Navy seal. He has a show on

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Speaker 8: YouTube that has a you know, a partner show on

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Speaker 8: all the other platforms, and he basically sits down with

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Speaker 8: people and he calls people on their bs. You know,

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Speaker 8: he's he's in it pretty big right now with Congress

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Speaker 8: and Dan Crenshaw going back and forth, and he's no nonsense.

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Speaker 8: You know, He's definitely there to let people know that

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Speaker 8: you can actually say what you think and it's okay

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Speaker 8: to stand behind your beliefs.

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Speaker 4: Okay, but anybody does a five and a half hour podcast.

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Speaker 8: It's a little hey, listen, he does long format, no question,

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Speaker 8: I agree with you, Listen, I have I have very

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Speaker 8: strong feelings about this interview. I have not seen it,

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Speaker 8: but I would not give audience to someone who has

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Speaker 8: the history that he has because there are plenty of

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Speaker 8: other people on the left that have done far less

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Speaker 8: that would give me a better opinion of the Democrat Party.

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Speaker 4: Not this guy.

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Speaker 8: This guy is not a Democrat Party, you know, representative.

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Speaker 8: He's just you know, a president's son who was a

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Speaker 8: drug addict and a cheater and a liar and an abuser.

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Speaker 8: I mean, piss off.

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Speaker 4: Okay, But I do a podcast which is quite successful.

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Speaker 8: By the way, exactly right, and I listened to it.

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Speaker 4: It's on iHeart. In fact, it's in the top fifty

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Speaker 4: of iHeart podcasts in America. Wow, And I wouldn't What

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Speaker 4: kind of ego would I have if I said I'm

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Speaker 4: gonna do five and a half hours, I would you do? Well?

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Speaker 8: I think we Also part of the problem is if

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Speaker 8: you've ever heard Hunter Biden speak, it's a struggle for him.

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Speaker 8: It's words are not easy to him.

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Speaker 4: So it's you know, okay, but put him on with me,

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Speaker 4: let me interview and let sean interview. We get it

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Speaker 4: done in fifteen minutes. Well get everything?

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Speaker 1: Question?

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Speaker 4: Yeah, but these other part I see these other podcasts

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Speaker 4: with and there has to be some kind of legislation

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Speaker 4: that not everybody can have a podcast. There has to be.

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Speaker 4: It's out of control. My dentist has a podcast. Everybody

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Speaker 4: has a podcast, every housewife. I know if you heed

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Speaker 4: my podcast. No, I don't want to mention names, but

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Speaker 4: some of them. What do you mean everybody loves it?

435
00:23:50,119 --> 00:23:51,840
Speaker 4: I said, yeah, but you send it to your friends,

436
00:23:51,920 --> 00:23:54,480
Speaker 4: they love it. Nah, everybody loves it. Nobody likes it

437
00:23:54,720 --> 00:24:00,199
Speaker 4: except your friends. And I shouldn't say any because I well,

438
00:24:00,240 --> 00:24:01,879
Speaker 4: I don't know a lot of these people. But the

439
00:24:02,119 --> 00:24:03,359
Speaker 4: worst podcast this.

440
00:24:03,440 --> 00:24:05,680
Speaker 8: Could explain why you're alone at Christmas. I'm just saying.

441
00:24:05,960 --> 00:24:10,080
Speaker 4: No, I've met plenty of people at Christmas. But everybody

442
00:24:10,200 --> 00:24:12,800
Speaker 4: has a podcast. Now stop it. And what happened to

443
00:24:12,920 --> 00:24:17,160
Speaker 4: the podcast was just audio? Now it's video. Uh, it's

444
00:24:17,480 --> 00:24:19,760
Speaker 4: all kinds of video is huge. I never why.

445
00:24:20,200 --> 00:24:23,640
Speaker 8: I because people like to see people in their natural habitat,

446
00:24:23,680 --> 00:24:27,679
Speaker 8: which most people who are podcasting look more natural than

447
00:24:27,720 --> 00:24:28,960
Speaker 8: the people we see on TV.

448
00:24:29,119 --> 00:24:30,480
Speaker 4: They are not in their natural heut.

449
00:24:30,640 --> 00:24:33,280
Speaker 8: I agree, but they used to be that way.

450
00:24:33,400 --> 00:24:35,200
Speaker 4: They took a corner of their house, put some funny

451
00:24:35,280 --> 00:24:38,040
Speaker 4: lighting in it, and a bookshelf behind them, and books

452
00:24:38,080 --> 00:24:41,240
Speaker 4: they never read, and a microphone this way and that.

453
00:24:41,680 --> 00:24:43,440
Speaker 4: Who sits at home with a big microphone in front

454
00:24:43,440 --> 00:24:45,760
Speaker 4: of them, it's not a natural house? You do, No,

455
00:24:46,040 --> 00:24:46,520
Speaker 4: I don't.

456
00:24:47,080 --> 00:24:49,080
Speaker 8: You don't have any microphones in your home?

457
00:24:49,720 --> 00:24:51,760
Speaker 4: Yes, in one room that's the studio, one room.

458
00:24:51,640 --> 00:24:54,080
Speaker 8: With some bookcases behind it, and maybe some plants and

459
00:24:54,160 --> 00:24:54,960
Speaker 8: some special lighting.

460
00:24:56,480 --> 00:25:01,720
Speaker 4: Well, but that's different. Well the reason is I'm a

461
00:25:01,800 --> 00:25:04,680
Speaker 4: professional broadcaster and I got to go into TV shows

462
00:25:04,720 --> 00:25:07,240
Speaker 4: and if you don't have that every single time, you

463
00:25:07,280 --> 00:25:08,600
Speaker 4: got to go down to the show and be in

464
00:25:08,640 --> 00:25:12,600
Speaker 4: the studio exactly. But if you're a paid professional broadcaster,

465
00:25:12,720 --> 00:25:16,560
Speaker 4: that's one thing. But if you're a housewife somewhere or

466
00:25:16,600 --> 00:25:21,600
Speaker 4: a real estate agent, don't do a podcast sell homes. Yeah,

467
00:25:21,920 --> 00:25:24,000
Speaker 4: I mean, I can't tell you how many times. This

468
00:25:24,160 --> 00:25:27,240
Speaker 4: one woman who owns a couple of restaurants, who said

469
00:25:27,480 --> 00:25:29,640
Speaker 4: the other day in my podcast, I'm going to start

470
00:25:29,680 --> 00:25:33,040
Speaker 4: a second podcast. I said, really, I'm opening two more restaurants.

471
00:25:33,080 --> 00:25:33,119
Speaker 2: What?

472
00:25:34,520 --> 00:25:35,920
Speaker 4: And then they get mad that you're trying to be

473
00:25:36,000 --> 00:25:36,560
Speaker 4: in their business.

474
00:25:36,600 --> 00:25:38,440
Speaker 8: So I do agree with you that there are a

475
00:25:38,560 --> 00:25:41,240
Speaker 8: lot of people who now do to the ease of

476
00:25:41,359 --> 00:25:44,760
Speaker 8: technology are doing things that they maybe shouldn't be doing.

477
00:25:45,119 --> 00:25:47,440
Speaker 4: Probably not anyway, Let's take it another call. Let's go

478
00:25:47,520 --> 00:25:49,680
Speaker 4: to Rob in Long Island. Rob, how you doing?

479
00:25:53,720 --> 00:25:54,680
Speaker 7: We must you in the morning.

480
00:25:55,840 --> 00:25:59,720
Speaker 4: Oh, okay, where are you? Are you anywhere near the phone? Yeah?

481
00:26:01,040 --> 00:26:05,679
Speaker 4: But do you on a speakerphone? You're on a speakerphone? Right,

482
00:26:06,440 --> 00:26:07,000
Speaker 4: poor Rob?

483
00:26:07,920 --> 00:26:09,240
Speaker 8: Rob has been holding for so long.

484
00:26:09,400 --> 00:26:11,760
Speaker 4: It's the most listened to radio show in America. There's

485
00:26:11,760 --> 00:26:14,320
Speaker 4: sixteen million people listening. How many do you need listening

486
00:26:14,320 --> 00:26:16,359
Speaker 4: before you'll actually pick up the phone and not use

487
00:26:16,440 --> 00:26:17,240
Speaker 4: the speaker.

488
00:26:18,760 --> 00:26:18,879
Speaker 8: Oh?

489
00:26:18,920 --> 00:26:21,480
Speaker 4: You hung up. Let's go to Ron in Wisconsin. Ron,

490
00:26:21,560 --> 00:26:22,120
Speaker 4: how you doing?

491
00:26:24,160 --> 00:26:26,560
Speaker 3: Get off the speaker phone? Yes? Ron?

492
00:26:27,320 --> 00:26:28,320
Speaker 4: How do Yeah?

493
00:26:28,880 --> 00:26:32,080
Speaker 3: What's your opinion is is why the president has re

494
00:26:32,240 --> 00:26:36,080
Speaker 3: implemented the Smith Month Act, or maybe a Smith Month

495
00:26:36,119 --> 00:26:39,560
Speaker 3: Act on steroids to to get rid of some of

496
00:26:39,640 --> 00:26:42,720
Speaker 3: the lying and all that stuff that the Left does.

497
00:26:43,200 --> 00:26:45,800
Speaker 3: We've got a sister that lives in Kansas City, and

498
00:26:48,000 --> 00:26:51,840
Speaker 3: she does not get any of the information that that,

499
00:26:52,280 --> 00:26:54,680
Speaker 3: you know, we get about what President Trump is doing.

500
00:26:54,720 --> 00:26:55,800
Speaker 3: All she get is the lies.

501
00:26:57,160 --> 00:27:01,320
Speaker 4: Well doesn't she have the Internet? Yeah, but she's we

502
00:27:01,400 --> 00:27:02,080
Speaker 4: didn't wake you did.

503
00:27:02,320 --> 00:27:06,360
Speaker 3: She doesn't search for it. I mean, it's like it's

504
00:27:06,400 --> 00:27:08,000
Speaker 3: got to the point where I won't even call and

505
00:27:08,080 --> 00:27:09,639
Speaker 3: talk to her because all we do is get in

506
00:27:09,680 --> 00:27:10,159
Speaker 3: an argument.

507
00:27:10,200 --> 00:27:12,800
Speaker 4: Well, why do you talk about it? You know, especially

508
00:27:12,800 --> 00:27:14,639
Speaker 4: everybody going to a Christmas dinner with the family, Why

509
00:27:14,680 --> 00:27:16,119
Speaker 4: do you talk about politics? Why don't you just talk

510
00:27:16,119 --> 00:27:16,840
Speaker 4: about other stuff?

511
00:27:17,720 --> 00:27:17,880
Speaker 7: Well?

512
00:27:18,000 --> 00:27:20,040
Speaker 3: I tried, but she always brings it up. Let's just

513
00:27:20,080 --> 00:27:22,920
Speaker 3: tell you you don't talk about politics. Yeah, Well that's

514
00:27:22,960 --> 00:27:25,920
Speaker 3: why I don't call her anymore. So, all right, the

515
00:27:26,000 --> 00:27:27,840
Speaker 3: part of part of the problem, I think the reason

516
00:27:27,920 --> 00:27:30,159
Speaker 3: some of the polling that, you know, if if the

517
00:27:30,240 --> 00:27:35,159
Speaker 3: polling is valid that president you know a thing like

518
00:27:35,240 --> 00:27:37,760
Speaker 3: on affordability and the economy and stuff, is if his

519
00:27:37,880 --> 00:27:39,760
Speaker 3: polling is going down, it is because a lot of

520
00:27:39,800 --> 00:27:43,280
Speaker 3: the people don't get the information. You know, they don't

521
00:27:43,440 --> 00:27:45,560
Speaker 3: if they don't search for it, if they don't have

522
00:27:45,600 --> 00:27:49,920
Speaker 3: any information to look for it and do broad broad

523
00:27:49,960 --> 00:27:53,399
Speaker 3: spectrum news, they don't get the information. They just they

524
00:27:53,520 --> 00:27:57,080
Speaker 3: just hear what what msn NBC puts out.

525
00:27:57,240 --> 00:27:59,919
Speaker 4: And all right, well that's a good point. You're absolutely right, Ron,

526
00:28:00,119 --> 00:28:04,280
Speaker 4: thanks for calling. Yeah, it's it's not MSNBC anymore, it's

527
00:28:04,440 --> 00:28:07,680
Speaker 4: MS now. Have you watched it lately? They were thrown

528
00:28:07,720 --> 00:28:11,919
Speaker 4: out of NBC. Yeah, NBC threw MSNBC out, tossed him

529
00:28:11,960 --> 00:28:15,240
Speaker 4: out of the building, ejected them, spun off, the company,

530
00:28:15,280 --> 00:28:17,280
Speaker 4: got rid of it, made him take NBC out of

531
00:28:17,320 --> 00:28:20,520
Speaker 4: the name. It's now called MS now. If you watch it,

532
00:28:20,600 --> 00:28:22,320
Speaker 4: you can really see the difference. You know, when you

533
00:28:22,400 --> 00:28:26,120
Speaker 4: used to watch MSNBC, it was the biggest studio, the set,

534
00:28:26,240 --> 00:28:28,880
Speaker 4: you know, the wall was like twenty five feet behind

535
00:28:28,960 --> 00:28:31,440
Speaker 4: Joe Scarborough. Now you watch it's a small studio. Of

536
00:28:31,440 --> 00:28:33,960
Speaker 4: the walls like four feet behind him. And the table

537
00:28:34,000 --> 00:28:36,600
Speaker 4: he's the big table, hohold. Now it's a little table.

538
00:28:37,119 --> 00:28:39,800
Speaker 4: And they used to whenever news broke, let's cut you

539
00:28:39,960 --> 00:28:42,840
Speaker 4: NBC News correspondent London bo. Well now they have no

540
00:28:42,920 --> 00:28:45,840
Speaker 4: connection to NBC news. Now they cut to some amateur

541
00:28:45,920 --> 00:28:49,720
Speaker 4: in London. It's just awful. It's kind of sad and pathetic.

542
00:28:50,280 --> 00:28:51,880
Speaker 8: How do you even know he's in London? He could

543
00:28:51,880 --> 00:28:53,720
Speaker 8: be at his home in a book, you know, bookshelf

544
00:28:53,840 --> 00:28:54,480
Speaker 8: right behind him.

545
00:28:54,640 --> 00:28:57,400
Speaker 4: You know, well that is true. It is MS now,

546
00:28:58,360 --> 00:29:00,400
Speaker 4: so I wouldn't trust him at all. We go to

547
00:29:00,800 --> 00:29:03,200
Speaker 4: Diane in Santa Cruz. Diane, how you doing.

548
00:29:04,280 --> 00:29:04,440
Speaker 7: Hi?

549
00:29:04,840 --> 00:29:06,600
Speaker 3: I'm good, How are you good?

550
00:29:08,320 --> 00:29:13,360
Speaker 7: I wanted to comment on the recent shooting at the university.

551
00:29:13,720 --> 00:29:20,520
Speaker 7: Was I believe that our policy of no our gun

552
00:29:20,600 --> 00:29:25,240
Speaker 7: free zones has been an abject failure, and I think

553
00:29:25,400 --> 00:29:29,880
Speaker 7: that we should arm our teachers and staff and other

554
00:29:30,000 --> 00:29:32,240
Speaker 7: people with a non lethal firearms.

555
00:29:32,560 --> 00:29:34,160
Speaker 4: You mean like a burnout the kind of thing.

556
00:29:35,040 --> 00:29:35,280
Speaker 5: Yeah.

557
00:29:35,720 --> 00:29:37,880
Speaker 4: Oh, it's a good idea. Yeah.

558
00:29:38,000 --> 00:29:42,400
Speaker 7: I think that it's our right. It's a constitutional right

559
00:29:42,600 --> 00:29:48,040
Speaker 7: to be armed, and it goes to the heart of

560
00:29:48,120 --> 00:29:48,800
Speaker 7: our republic.

561
00:29:49,040 --> 00:29:51,120
Speaker 4: All right, good idea, Diane, Thanks for calling.

562
00:29:51,320 --> 00:29:51,400
Speaker 2: Now.

563
00:29:51,440 --> 00:29:54,120
Speaker 4: Speaking of Brown University, that president should be throwing the

564
00:29:54,200 --> 00:29:58,560
Speaker 4: hell out of there and fired for total incompetence. He's

565
00:29:58,600 --> 00:30:02,080
Speaker 4: got a security director with no law enforcement experience. He's

566
00:30:02,120 --> 00:30:05,640
Speaker 4: got a long resume of being at other colleges in

567
00:30:06,360 --> 00:30:09,320
Speaker 4: college security. He was a patrolman and a college police,

568
00:30:09,400 --> 00:30:12,640
Speaker 4: but he's no real law enforcement. Also, they did not

569
00:30:12,880 --> 00:30:15,240
Speaker 4: have the proper surveillance cameras or equipment.

570
00:30:15,640 --> 00:30:17,680
Speaker 8: That no, no, no, they had it.

571
00:30:17,880 --> 00:30:20,440
Speaker 4: They had two cameras but they took it down. Yeah,

572
00:30:20,520 --> 00:30:23,520
Speaker 4: but there are two cameras on the building there. The

573
00:30:23,720 --> 00:30:27,360
Speaker 4: president of Brown University's home had thirty cameras around at thirty.

574
00:30:27,920 --> 00:30:31,160
Speaker 4: So and she's getting three four million a year. You're

575
00:30:31,200 --> 00:30:33,160
Speaker 4: spending how much does it cost to go there? Like

576
00:30:33,240 --> 00:30:34,240
Speaker 4: eighty thousand a year?

577
00:30:34,680 --> 00:30:37,360
Speaker 8: Eighty to ninety thousand. In that you see the indoctrinated.

578
00:30:37,600 --> 00:30:39,200
Speaker 4: The one video they had of the guy that was

579
00:30:39,440 --> 00:30:42,080
Speaker 4: they didn't have security cameras. That was because some neighbor

580
00:30:42,160 --> 00:30:44,680
Speaker 4: had a ring, a doorbell camera or something. That the

581
00:30:44,720 --> 00:30:45,800
Speaker 4: only reason they had that video.

582
00:30:46,040 --> 00:30:48,360
Speaker 8: Let me tell you something. They have the video, We're

583
00:30:48,440 --> 00:30:51,600
Speaker 8: just never going to see it. There is no way. Yeah,

584
00:30:51,800 --> 00:30:53,760
Speaker 8: that school doesn't have that video.

585
00:30:53,920 --> 00:30:57,720
Speaker 4: There is. He got an incompetent president. He got a

586
00:30:58,440 --> 00:31:03,520
Speaker 4: security head with no law enforcement experience at all. Anyway, Well,

587
00:31:03,800 --> 00:31:06,080
Speaker 4: we've got one more segment to go. It's Mark Simone

588
00:31:06,520 --> 00:31:08,920
Speaker 4: here for Sean Handedy. Make sure you follow me on Instagram,

589
00:31:09,640 --> 00:31:14,920
Speaker 4: Mark Simone NYC at Instagram, Twitter, Mark Simone n y

590
00:31:15,040 --> 00:31:18,000
Speaker 4: at Twitter. Turn it up. That's Frank Sinatra. Oh have

591
00:31:18,120 --> 00:31:22,080
Speaker 4: yourself a merry little Christmas. I hate when they bring

592
00:31:22,120 --> 00:31:31,040
Speaker 4: in the whole chorus Yours and better with just him happy. Anyway,

593
00:31:31,440 --> 00:31:33,920
Speaker 4: back in a moment on the Sean Hannity Show.

594
00:31:35,120 --> 00:31:39,360
Speaker 1: Faithful friends who are dear to us.

595
00:31:40,800 --> 00:31:43,040
Speaker 4: Gather near to us.

596
00:31:44,200 --> 00:31:49,840
Speaker 6: One small old inspired solutions for America.

597
00:31:51,880 --> 00:32:09,480
Speaker 4: This is the Sean Hannity Show. You're a mean one,

598
00:32:10,600 --> 00:32:15,000
Speaker 4: mister Grinch. You really are.

599
00:32:17,520 --> 00:32:22,400
Speaker 3: Yours Cudley as a cactus, You're as charming as an elster.

600
00:32:23,000 --> 00:32:23,200
Speaker 2: Yah.

601
00:32:23,400 --> 00:32:26,640
Speaker 4: Finally a good Christmas song here, I go at uh.

602
00:32:27,120 --> 00:32:29,360
Speaker 8: You know, I'd like to dedicate that to you. I

603
00:32:29,440 --> 00:32:30,760
Speaker 8: picked it especially for you.

604
00:32:30,920 --> 00:32:31,720
Speaker 4: Look who's talking.

605
00:32:32,840 --> 00:32:34,959
Speaker 8: Oh, I'm ho ho and all the way to Christmas Day.

606
00:32:35,040 --> 00:32:36,840
Speaker 8: Unlike some people, you know, these.

607
00:32:36,800 --> 00:32:39,800
Speaker 4: Christmas songs were all recorded in the summer. They record

608
00:32:39,880 --> 00:32:41,760
Speaker 4: them in July because that's when you have to get

609
00:32:41,800 --> 00:32:44,200
Speaker 4: it ready. And most of them were written in the

610
00:32:44,280 --> 00:32:47,320
Speaker 4: summer by songwriting to tell you they were like on

611
00:32:47,440 --> 00:32:50,640
Speaker 4: the beach in California, it was eighty five degrees.

612
00:32:50,880 --> 00:32:52,440
Speaker 8: It's always a summer in California.

613
00:32:52,640 --> 00:32:55,440
Speaker 4: Yeah, that's true. And that's another thing about New York.

614
00:32:55,520 --> 00:32:58,479
Speaker 4: It's real Christmas here. Look at the window the trees

615
00:32:58,640 --> 00:32:59,560
Speaker 4: Rockefeller Center.

616
00:32:59,800 --> 00:33:01,680
Speaker 8: I do agree with that. I like the Northeast.

617
00:33:01,680 --> 00:33:02,120
Speaker 2: It's cold.

618
00:33:02,280 --> 00:33:04,720
Speaker 4: That's Christmas. You people in Florida are trying to put

619
00:33:04,800 --> 00:33:07,080
Speaker 4: lights on a palm tree. That's not the same thing,

620
00:33:07,720 --> 00:33:10,560
Speaker 4: doesn't work, and these what do you do for Christmas?

621
00:33:10,600 --> 00:33:12,400
Speaker 4: You watch It's a Wonderful Life and all.

622
00:33:12,480 --> 00:33:14,360
Speaker 8: I haven't watched it yet, so I'm gonna watch it

623
00:33:14,440 --> 00:33:16,880
Speaker 8: for the first time. I think probably today or tomorrow.

624
00:33:17,440 --> 00:33:19,520
Speaker 8: I watched White Christmas the other night while I made

625
00:33:19,520 --> 00:33:21,360
Speaker 8: cookies for all the kids teachers gifts.

626
00:33:21,440 --> 00:33:21,760
Speaker 2: I did that.

627
00:33:21,880 --> 00:33:24,400
Speaker 4: The movie one of the best Christmas movies. The Bishop's

628
00:33:24,440 --> 00:33:26,920
Speaker 4: wife Carrie Grant. Oh, I haven't seen that, one of

629
00:33:26,960 --> 00:33:28,080
Speaker 4: the finest Christmas movies.

630
00:33:28,080 --> 00:33:28,640
Speaker 8: I will watch that.

631
00:33:28,760 --> 00:33:30,880
Speaker 4: It's a Wonderful Life. Actually makes no sense at all.

632
00:33:31,320 --> 00:33:33,760
Speaker 8: Why we just had Greg Jared on the other day

633
00:33:33,760 --> 00:33:35,320
Speaker 8: and he was telling us all phenomenal.

634
00:33:35,040 --> 00:33:37,120
Speaker 4: Way, oh please, you know they show the town. If

635
00:33:37,120 --> 00:33:39,479
Speaker 4: there was no George Bailey, it was much better without him.

636
00:33:39,480 --> 00:33:43,160
Speaker 4: I had restaurants, casinos, nightclubs. It was much better without him.

637
00:33:43,160 --> 00:33:47,160
Speaker 8: Spoken from the single man, Well, there's a.

638
00:33:47,160 --> 00:33:48,240
Speaker 4: Lot of good Christmas movies.

639
00:33:48,800 --> 00:33:51,160
Speaker 8: Holiday Inn, Holiday Inn is great.

640
00:33:51,440 --> 00:33:54,120
Speaker 4: That's where the song White Christmas is actually originally about Frosty.

641
00:33:55,360 --> 00:33:56,120
Speaker 4: Frosty is good.

642
00:33:56,520 --> 00:33:57,560
Speaker 8: Charlie Brown Christmas.

643
00:33:57,840 --> 00:33:58,360
Speaker 4: There you go.

644
00:33:58,920 --> 00:34:01,440
Speaker 8: Been some of my favorite Vince Giraldi can't go wrong.

645
00:34:01,840 --> 00:34:05,520
Speaker 4: Yeah, so well, we're just about out of time. I

646
00:34:05,600 --> 00:34:16,000
Speaker 4: want to have a great Christmas. Oh oh no, I

647
00:34:16,160 --> 00:34:16,640
Speaker 4: like that one.

648
00:34:16,719 --> 00:34:16,960
Speaker 5: I was.

649
00:34:18,920 --> 00:34:19,719
Speaker 8: Never heard that song.

650
00:34:19,920 --> 00:34:21,480
Speaker 4: Enjoy it? Why you ken, You're not going to hear

651
00:34:21,520 --> 00:34:23,480
Speaker 4: this music a week from now. It's going to all

652
00:34:23,560 --> 00:34:26,480
Speaker 4: be gone till next year. Thanks for listening. Take care,