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Speaker 1: From Mahard.

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Speaker 2: We're Innovation, Money and Power Collie in Silicon Vallet NBN.

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Speaker 3: This is Bloomberg Technology with Caroline Hyde and Ed lud.

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Speaker 4: Love now from New York and San Francisco. This is

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Speaker 4: Bloomberg Technology in selection day and the tech policies and

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Speaker 4: implications that you need to know about. On the last

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Speaker 4: day of voting.

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Speaker 5: Class Palenteer shares jump as it posts record profit and

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Speaker 5: made unwavering AI demand and Apple.

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Speaker 4: I's smart glasses. We discussed the internal study code named

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Speaker 4: Atlas as it follows Snap and Meta's lead. But first

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Speaker 4: we check in on these markets as people head in

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Speaker 4: person to the polls. We're currently up nine ten percent

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Speaker 4: on the NASDAK. Big tech leading the charge today in

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Speaker 4: Vidiar Tesla on the higher side, and really it is

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Speaker 4: big tech that also drives from an earnings perspective. And

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Speaker 4: what are you watching on the.

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Speaker 5: Micro Yes, straight to Palenteer shares up twenty three percent

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Speaker 5: in the session, on track for their biggest jump since

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Speaker 5: February of this year, trading at an all time high.

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Speaker 5: What's astonishing, It's like out of nowhere. This is a

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Speaker 5: company with one hundred and fourteen billion dollar market gap

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Speaker 5: and it's all on revenue in the court have gone

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Speaker 5: a little more than seven hundred million dollars, but the

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Speaker 5: narrative incredibly clear, unwavering AI demand from corporate America and

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Speaker 5: from the public sector as well. Let's get right to

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Speaker 5: Palenteer with Mandique Singh of Bloomberg Intelligence. Where would you

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Speaker 5: like to start, Mandeep, I mean, the story of Palenteer

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Speaker 5: is a long term one. It's continued with this momentum

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Speaker 5: for a while. What jumped out from its earnings print for.

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Speaker 3: You, Yeah, I mean the government segment growing forty percent

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Speaker 3: here in the US, and it is on the back of,

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Speaker 3: you know, some connection that they have found with implementing llms.

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Speaker 3: I mean, everyone is looking have ways to deploy, you know,

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Speaker 3: whether it's GPT, Gemini or Meta Lama, and to Palenteer's credit,

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Speaker 3: they found the right pivot when it comes to integrating

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Speaker 3: the data the ontology that they have with these llms.

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Speaker 3: And I think that's why you're seeing that especially a

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Speaker 3: strong momentum on the government side, but also defense tech

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Speaker 3: companies on the commercial side. I think in the US

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Speaker 3: they've done particularly well because of their you know, data

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Speaker 3: lineage and the fact that they have done so well

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Speaker 3: over the years in terms of you know, ontology.

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Speaker 4: What's interesting, of course, your note that you put out

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Speaker 4: is saying, perhaps there was a rush to spend budget

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Speaker 4: that was happening from the US government perspective, from your

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Speaker 4: mind's eye. Therefore many have they diversified enough to ensure

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Speaker 4: that they've got the private sector where they want it

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Speaker 4: to be.

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Speaker 3: Yeah, I mean, look, we are in an environment of

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Speaker 3: heightened geopolitical tensions and that has traditionally benefited talent.

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Speaker 1: Heer.

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Speaker 3: I'm a little leary of you know, their momentum on

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Speaker 3: the international side, given its still thirty percent plus of

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Speaker 3: their business, and that's where you see a tapering of growth,

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Speaker 3: given how controversial the CEO can be at times. And look,

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Speaker 3: when it comes to software companies, you want to show

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Speaker 3: recurring revenue. That's why the cloud names have fetched, you know,

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Speaker 3: premium multiples over the year. Palentier currently trades at a

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Speaker 3: premium multiple. So it comes down to can they sustain

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Speaker 3: this momentum, And I think that's where international is key,

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Speaker 3: which I'm not sure they can sustain that kind of momentum.

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Speaker 4: Technically, the shares a riverboard if you're looking at the

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Speaker 4: relative strength index mandate. It's saying of BlueBag intelligence brings

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Speaker 4: us the fundamentals there. But look, let's get back to

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Speaker 4: what the day is. It is Election day, it is

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Speaker 4: here in the US, and the polling continues to show

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Speaker 4: that race as close as any in modern history. You

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Speaker 4: bring it back to Katie lines and joins us at

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Speaker 4: the start of a marathon of a day, and Katie,

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Speaker 4: just bring us up to speed with what we should

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Speaker 4: be looking at right here, right now.

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Speaker 6: Well, really, this is going to come down to turn

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Speaker 6: out that probably will surprise no one. But with the

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Speaker 6: margins this type consistently in polling, it really is going

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Speaker 6: to be about who can convince voters to get off

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Speaker 6: the couch today and vote for them. No longer is

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Speaker 6: it about convincing them to vote for either Donald Trump

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Speaker 6: or Kamala Harris, but instead to get them to vote

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Speaker 6: at all. And I would keep in mind that millions

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Speaker 6: of Americans have already done so. As of this morning,

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Speaker 6: more than eighty three million people had already cast their vote,

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Speaker 6: and the electorate in total those eligible to vote is

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Speaker 6: only two hundred and forty four millions, So it would

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Speaker 6: be a question of how much of that electorate actually

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Speaker 6: shows up today when they go to the polls, and

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Speaker 6: of course it is seven states where the turnout is

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Speaker 6: going to matter most. Those battlegrounds in the Rust Belt

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Speaker 6: and in the Sun Belt are what the candidates have

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Speaker 6: been zeroing in on. It's why Kamala Harris meant her

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Speaker 6: entire day yesterday in Pennsylvania, which has nineteen electoral votes.

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Speaker 6: Donald Trump spending some time in North Carolina, Pennsylvania, and

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Speaker 6: Michigan as they race today to get to two hundred

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Speaker 6: and seventy. And I would just warn our audiences it

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Speaker 6: may be the case that we will not know who

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Speaker 6: gets two hundred and seventy electoral votes, not today, not tomorrow,

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Speaker 6: It could potentially take days.

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Speaker 5: Kaylee, thank you for your reporting. Just incredible command of

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Speaker 5: the data, which is so important in this tight race.

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Speaker 5: Both candidates kind of had closing pitches or remarks last night.

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Speaker 5: Where do we leave things in both the Trump camp

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Speaker 5: and the Harris camp.

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Speaker 6: Well, we heard similar things from Kamala Harris, which is

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Speaker 6: that she wants to essentially turn the page on what

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Speaker 6: she is referred to as a dark era in American

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Speaker 6: politics for the past decade in which Donald Trump has

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Speaker 6: been involved in presidential campaigns over what has now been

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Speaker 6: three cycles. She reiterated she wants to chart a new

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Speaker 6: way forward for Donald Trump. He is basically trying to

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Speaker 6: make himself the change candidate in this race. Suggests that

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Speaker 6: Kamala Harris, as part of this Biden administration, which in

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Speaker 6: many ways has been unpopular, especially with its handling of

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Speaker 6: the economy, shows that the country needs to move on.

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Speaker 6: He described that the country cannot take four more years

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Speaker 6: of what he referred to last night as gross incompetence.

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Speaker 6: Now they both are no longer in battleground states as

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Speaker 6: we speak, Donald Trump should be voting anytime now. In

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Speaker 6: his home state of Florida. He is still allowed to

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Speaker 6: do so, even though he was a convicted fell and

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Speaker 6: convicted in New York. But New York law dictates a

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Speaker 6: convicted felon can still vote. Therefore, Florida recognizes that he

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Speaker 6: will be able to cast a vote for himself today.

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Speaker 6: Kamala Harris meantime, is at home in DC at the

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Speaker 6: Naval Observatory, and she will be heading to Howard University,

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Speaker 6: her alma mater, for her election night party this evening.

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Speaker 6: Because at this point there's really nothing left either of

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Speaker 6: them can do. The closing arguments have been made, The

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Speaker 6: ground game has been working for months now, and we

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Speaker 6: all just have to wait for the tally to come in.

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Speaker 5: Bloomberg's Katie Lynes, thank you very much. Let's get the

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Speaker 5: market's perspective and bringing in Anna Ruthman of CBIZ Investment

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Speaker 5: Advisory Services. Equity markets are higher, big tech, well megacap

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Speaker 5: tech stocks are kind of leading the way voting is underway.

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Speaker 5: What does that tell you, Anna?

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Speaker 1: If anything, I think the markets are ready for this

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Speaker 1: election to be over and for some of the uncertainties

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Speaker 1: that have been present and leading up to this day

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Speaker 1: to be over. And I think there's a lot of

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Speaker 1: excitement about that. But depending on who wins and depending

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Speaker 1: on what Washington looks like, there are some issues that

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Speaker 1: may be facing tech. And that's on the regulatory side.

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Speaker 1: So if I'm taking a look at what might be

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Speaker 1: lying ahead, I mean, of course these things can change.

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Speaker 1: There's three I would put them in three buckets. One

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Speaker 1: is that things that are pretty known that Washington is

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Speaker 1: a consensus on, and that one thing is national security,

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Speaker 1: and so for the semiconductor industry and AI development, I

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Speaker 1: would really look at that and say that may be

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Speaker 1: a challenge, especially when we're talking about importing and exporting

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Speaker 1: things from China. Undoing some of that global supply chain

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Speaker 1: is going to be a challenge there in creating less

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Speaker 1: reliance on China. The other is antitrust issues if we

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Speaker 1: look at and that's the unknown, right, So if we

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Speaker 1: look at potential hairs administration, we've seen Biden administration be

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Speaker 1: not as friendly Trump administration. I think there's assumption that

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Speaker 1: they're going to be more friendly, especially with Republican Party,

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Speaker 1: but it's not always the case.

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Speaker 2: Because we have a case while.

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Speaker 1: Trump was president between twenty sixty and twenty twenty, everybody

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Speaker 1: remembers time order and at serprise, right.

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Speaker 5: So just real quick, we're kind of zeroed in on

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Speaker 5: this presidential race. But of course the composition of Congress

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Speaker 5: will have an impact, and I think in particular about

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Speaker 5: if you're talking about regulation artificial intelligence, but also electric vehicles, right,

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Speaker 5: the standing impact of the IRRA and any changes that

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Speaker 5: might ad that. How do you model for that? Please?

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Speaker 2: On the EB side?

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Speaker 1: Sure, on the EB side, I think there is there's

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Speaker 1: what we established as what Congress would want, right, But

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Speaker 1: so if you have a democratic sweep it's going to

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Speaker 1: look one way. If you have a Republican sweep, it's

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Speaker 1: going to look another way. But I think American people

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Speaker 1: have sort of spoken through sales. I mean, if we

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Speaker 1: look at Tesla for example, I mean, Tesla did really well,

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Speaker 1: but in terms of volume, sales was down.

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Speaker 7: Right.

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Speaker 2: If you look at.

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Speaker 1: Ford and GM, their EV sales were down. So I

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Speaker 1: don't know if Washington is going to continue to demand,

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Speaker 1: depending on who, especially for the Democratic Party, continue to

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Speaker 1: demand that kind of regulation, but the American people might

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Speaker 1: just not be for it. So I'm not entirely sure

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Speaker 1: if it's going to shake out the way we might project.

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Speaker 8: Tesla.

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Speaker 4: Of course, one of the leading points contributors to the

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Speaker 4: NASDAC on the day at least Anna the leading is

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Speaker 4: in Nvidio, And I just want to ask you a

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Speaker 4: little bit more about the semiconductor industry and what you're

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Speaker 4: trying to factor in in terms of future policy there,

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Speaker 4: whether it be with China, whether it be building here

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Speaker 4: in the US.

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Speaker 1: Yeah, I think with AI, that's the national security bit

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Speaker 1: that I was talking about before. I think the building

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Speaker 1: here in the US, it's going to take a very

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Speaker 1: long time. So I think that we're not going to

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Speaker 1: see that tomorrow or next year, or frankly even in

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Speaker 1: the next four years, whoever is.

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Speaker 2: The president, what Washington might look like.

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Speaker 1: So I think with Nvidia and AI, the chips and

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Speaker 1: the important export controls, that's going to be a big

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Speaker 1: topic probably for the next ten to fifteen years.

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Speaker 4: Have you been worried in any way about potential change?

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Speaker 4: Of course, when it comes to the subsidies, the support

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Speaker 4: here in the US for the chip sector building in

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Speaker 4: the US, has that changed any of your investment assumptions?

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Speaker 2: It doesn't worry us.

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Speaker 1: I mean again, this is going to take a long time.

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Speaker 1: It actually makes us excited because it actually takes the

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Speaker 1: risk of relying too much on Taiwan and South Korea

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Speaker 1: and it brings it in here. But now that also

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Speaker 1: then you have to question is that going to increase

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Speaker 1: the cost of production here because it is essentially a

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Speaker 1: little more expensive to make things here, And that actually

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Speaker 1: opens up the door to other discussions here that may

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Speaker 1: not be tech related per se, but everyone who uses.

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Speaker 4: Tech and indeed monetary US see related if we are

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Speaker 4: indeed talking about inflationary pressure. Anna Rathman, so good to

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Speaker 4: have you on this day. Ciba's investment advisory services. Meanwhile,

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Speaker 4: we want to keep an eye on other chip related

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Speaker 4: stocks today because the key contributor to the downside in

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Speaker 4: terms of points on the nurse at one hundred is

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Speaker 4: NXP Today. Why it's earnings, and we saw overall that

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Speaker 4: it was underwhelming, to say the least, with forly the

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Speaker 4: most it's July issues with the car industry in particular,

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Speaker 4: we saw the fourth quarter sales and earnings forecast disappointing

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Speaker 4: because that slowed down in automotive customers and indeed a

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Speaker 4: weak industrial demand too.

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Speaker 5: Okay, coming up from the show details and the survival

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Speaker 5: of Elon Musk's million dollars sweet steaks, that's next. This

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Speaker 5: is Bloomberg Technology, a legal win for Elon Musk as

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Speaker 5: a Pennsylvania judge rejected a request to halt his daily

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Speaker 5: one million dollar sweep stakes, which is run by Mosqu's

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Speaker 5: pro Donald Trump America pack Bluebers Crystal match on the

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Speaker 5: ground for us and Chris, I think we've covered this

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Speaker 5: over the course of a number of days or weeks,

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Speaker 5: and at the heart of it was what is the

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Speaker 5: legal issue here? But just bring us the latest of

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Speaker 5: what the judge decided in the moment about the sweepstakes,

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Speaker 5: So yeah, hi.

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Speaker 7: The judge had a six hour hearing with the DA

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Speaker 7: of Philly, Larry Krasner on the stand for a few

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Speaker 7: hours and the treasurer of the pack, and almost immediately

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Speaker 7: after decided rejected the DA's request for an immediate order

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Speaker 7: that would have halted the pack. He didn't explain its reasoning.

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Speaker 7: He said he's going to put out an order an

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Speaker 7: opinion momentarily.

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Speaker 8: That will explain its reasoning. But the DA has.

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Speaker 7: Intended that the giveaway violated state lottery laws and also

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Speaker 7: on consumer protection laws because it wasn't protecting the confidential

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Speaker 7: personal information of the people who won the prize the pack.

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Speaker 7: He contended that it actually wasn't a lottery at all.

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Speaker 7: It was actually these people were given employment contracts for

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Speaker 7: their time as spokespersons for the pack, and they kind

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Speaker 7: of said they were being put through the ringers, so

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Speaker 7: that's what they were being compensated for. And in fact,

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Speaker 7: the treasurer of the pack said on the stand that

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Speaker 7: he was surprised to hear Eli call it a random

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Speaker 7: giveaway because he said it wasn't. These people were being

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Speaker 7: compensated for their time, so that.

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Speaker 4: Leads us precisely where Chris, because I suppose there's more

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Speaker 4: transparency on actually what this is all about and sort

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Speaker 4: of paid spokespeople. But ultimately we're off the hope from

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Speaker 4: a legal perspective for the most part.

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Speaker 7: Now, the DA continue to pursue damages, and he made

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Speaker 7: it clear that he was going to seek more money.

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Speaker 7: I mean, this is an emergency injunction motion. So and

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Speaker 7: for the most part, like you said, it's kind of

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Speaker 7: moot that the giveaway is over. They they're weren't going

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Speaker 7: to give away any more money. So Elon last week

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Speaker 7: tried to get this move to federal court.

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Speaker 8: This is why it took so long.

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Speaker 7: The GA only filed this dude a week ago, and

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Speaker 7: as were supposed to have you hearing on Thursday. That

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Speaker 7: get canceled when Elon tried to move it to federal

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Speaker 7: court and then it got punting back to state court.

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Speaker 7: So for the most part, this lawsuit is kind of

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Speaker 7: over for the moment, and Elon was kind of victorious,

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Speaker 7: even though oftensibly, you know, he lost his attempt to

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Speaker 7: move it out of court.

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Speaker 4: In both Crystal Match on the latest we thank you

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Speaker 4: now look Silicon Valley Heavyweights such as in Noamusque. It

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Speaker 4: made a significant impact on this year's US election. But

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Speaker 4: our next guest says, text involvement began long before the

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Speaker 4: twenty twenty four decision. Let's bring in no like technology

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Speaker 4: and geopolitics. A fellow at the Harvard Belfa Center, you

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Speaker 4: recently wrote an ophead on this exact topic. Just take

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Speaker 4: us back in history the States, back to the eighties,

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Speaker 4: really the nineties, when technology CEOs really started to make

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Speaker 4: their feelings and money known in politics.

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Speaker 9: Hi, Caroline, Yes, our current age of tech really began

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Speaker 9: in the nineteen eighties with the arrival of the desktop computer,

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Speaker 9: and then in the nineteen nineties e commas took off,

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Speaker 9: and now we're in sort of the third act of

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Speaker 9: this age in terms of AI and of course the

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Speaker 9: space phrase. But from the very start, from the nineteen

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Speaker 9: eighties Silicon Valleys players, many of whom are still the

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Speaker 9: same today as they were then. So people like starting

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Speaker 9: with Steve Jobs and right through to Bezos and Mask

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Speaker 9: started becoming politically active in the nineteen eighties and engaging

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Speaker 9: with the government in terms of the kind of changes

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Speaker 9: they wanted for in terms of regulation, investment, and also

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Speaker 9: the idea of government as a customer.

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Speaker 4: I suppose what potentially has changed here is that one

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Speaker 4: of them might well take a very leading role in

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Speaker 4: men illustration if indeed Trump does get in and talking

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Speaker 4: about Elon Musk. But moreover, it's sort of we're getting

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Speaker 4: more transparency about their roles. Is that because of the

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Speaker 4: way they're self identifying, or is that because of the

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Speaker 4: age of social media we able to find these things out.

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Speaker 9: I think it's because, well, we have people like Elon

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Speaker 9: Musk being sort of particularly flamboyant in terms of their approach.

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Speaker 9: I mean with the million dollar lottery, where there's been

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Speaker 9: so much focus on the million bucks. But actually I

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Speaker 9: think it's great to have that because we are now

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Speaker 9: seeing the power of tech, which was sort of previously

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Speaker 9: I think existed. I mean, the PayPal mafia kind of

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Speaker 9: functioned as very much with the sort of oath of

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Speaker 9: silence or omerta in terms of their political views, and

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Speaker 9: we've seen those actually coming out now and just how

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Speaker 9: much people like Musk can influence narratives, and not just

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Speaker 9: through money, but in terms of how they think about

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Speaker 9: the economy, and of course how Musk has also been

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Speaker 9: thinking about issues like immigration and voter flaud Now, in.

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Speaker 5: Your research, have you found specific evidence that an endorsement

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Speaker 5: from a technology leader like Musk, or an appeal from

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Speaker 5: leaders in technology to actually go out and vote translates

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Speaker 5: to that action by the electorate in the voting base.

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Speaker 9: I think it does have some impact. The very first

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Speaker 9: Silicon Valley election was took place in nineteen ninety two

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Speaker 9: when Clinton actually went out to woule Silicon Valley because

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Speaker 9: he wanted to the Democrats to be seen as a

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Speaker 9: pro business, pro tech party, and the endorsement that Silicon

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Speaker 9: Valley gave him just I think three weeks ahead of

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Speaker 9: that election did actually help in terms of shifting the

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Speaker 9: mood somewhat. But of course, at that point he was

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Speaker 9: already ahead in the polls. So I think it does

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Speaker 9: help in some in some way in terms of boosting

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Speaker 9: the candidate's credentials, and we've seen that happening this time

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Speaker 9: with both Kamla Harris and Trump lying for Silicon Valley endorsements.

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Speaker 5: Now, do you believe that technology is a priority for

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Speaker 5: both campaigns in this election?

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Speaker 9: Yes, absolutely, And I think that when we have candidates

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Speaker 9: competing for Silicon Valley votes and endorsements, it means that

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Speaker 9: actually it's a win win for Silicon Valley irrespective of

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Speaker 9: whether it's Trump or Kamala Harris who ends up in

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Speaker 9: the White House.

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Speaker 4: I think just broadly, we need to just think about

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Speaker 4: ultimately whether the electorate do you think has that transparency,

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Speaker 4: that knowledge that with endorsements, with hitting the campaign trail,

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Speaker 4: there might well be positives for the companies that they

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Speaker 4: run in the later half of the administration.

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Speaker 9: I think all of us are becoming much more aware

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Speaker 9: of the power of big tech. I mean, we've now

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Speaker 9: been living in the age of Tech for the last

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Speaker 9: forty years, so I think, yes, the electorate is beginning

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Speaker 9: to pay more attention and when we have people like

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Speaker 9: Mask making the kind of statements they do, in a way,

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Speaker 9: he's helped add to the need for more transparency and

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Speaker 9: has made that the process more transparent. In fact, inadvertently.

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Speaker 5: Like Technology and Geopolitics Research Fellow at the Belfa Center

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Speaker 5: of the Harvard Kennedy School, thank you, welcome.

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Speaker 4: Back to BLUEMG Technology. I'm Karine Hyde in New.

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Speaker 5: York and I'm ed Loveo in San Francisco.

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Speaker 4: It's going to quick check on these markets. We of

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Speaker 4: course see people lining up, willing and wanting to be

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Speaker 4: able to cast their votes today at the election polls.

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Speaker 4: I'm looking at the na's that one hundred up more

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Speaker 4: than one percent. In fact, we're seeing big tech leading

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Speaker 4: the charge Bitcoin on the higher side as well. So

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Speaker 4: see now as some sort of proxy as many feel

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Speaker 4: for potentially a Trump administration coming in and one that

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Speaker 4: has shown significant support of cryptocurrencies here in the United States.

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Speaker 4: But I'm looking at an ecosystem that is led higher

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Speaker 4: on the tech side, also by earnings fundamentals. Palenteers still

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Speaker 4: showing that the AI demand is resilient and in many

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Speaker 4: ways unabound. We're up more than twenty two percent after

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Speaker 4: the numbers are beaten raised for Palenteer particularly strong growth

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Speaker 4: here in the United States. Super microcomputer. Look, we get

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Speaker 4: some numbers after the bell today, but for many it's

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Speaker 4: not going to be about the numbers that they show,

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Speaker 4: and in fact, we are expecting more than two hundred

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Speaker 4: percent increase in their sales for this particular fiscal quarter.

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Speaker 4: But people want to know what an earth is going

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Speaker 4: on with a DOJ investigation, what on Earth happened in

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Speaker 4: terms of them losing their accounting and one on Earth

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Speaker 4: about overall the focus on these businesses and transparency around

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Speaker 4: super microme. Looking at Trump media, so DJJA up fifteen

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Speaker 4: percent seven out of the last eight trading days. ED,

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Speaker 4: we've seen double digit moves, quadruple the volatility that we

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Speaker 4: see for bitcoin. This again a proxy on Trump and

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Speaker 4: a win ED okay.

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Speaker 5: A story that broke late last night. Predictions betting platform

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Speaker 5: Polymarket has been paying US based influencers to promote election

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Speaker 5: betting on the site, even though it's barred from letting

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Speaker 5: anyone in the country use the tool to place wages,

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Speaker 5: including on today's presidential race. Bloomberg's Margie Murphy broke the

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Speaker 5: story and joins us, now, what did you learn?

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Speaker 10: Yeah, so, I think a lot of people may have

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Speaker 10: seen polymarket across the social media. There's just been a

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Speaker 10: flurry of memes and graphics showing Carmela versus Trump with

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Speaker 10: a landslide to Trump. And so we were we'd heard

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Speaker 10: that Polymarket had been reaching out to US based social

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Speaker 10: media influences saying, look, we'll pay for you know, we

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Speaker 10: want to sponsor any of your political content. And that

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Speaker 10: happened in September and since then that's when we've seen

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Speaker 10: this kind of rise of Polymarket partners, and we learned

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Speaker 10: that basically, even though Polymarket isn't supposed to be targeting

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Speaker 10: a US audience, they're really going for they want the

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Speaker 10: eyeballs from the US, and they've been basically picking up

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Speaker 10: with any social media influencer who's based in the US,

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Speaker 10: not raising any concerns about the fact that their audience

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Speaker 10: is US based, and saying kind of, just go for it, polease, like,

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Speaker 10: flood your audience with adverts for our market and really

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Speaker 10: encouraging people to get on in trade even though technically

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Speaker 10: they're not supposed to be doing that.

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Speaker 4: Let's talk about whether or not it is indeed trades

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Speaker 4: they want, or whether or not Polymarket predictions betting platform

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Speaker 4: also brings data for many. Is their counter argument that

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Speaker 4: they just want eyeballs people to come to the service,

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Speaker 4: even if in the US you're barred from making any

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Speaker 4: particular back right.

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Speaker 10: So the argument is the poly Market spokesperson said to us,

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Speaker 10: ninety nine percent of people are just coming to the

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Speaker 10: website to view it as a news source for them,

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Speaker 10: and you know, only one percent actually plays trades. And

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Speaker 10: that's interesting because the way that it's been shown on

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Speaker 10: social media the way that influencers explain to us how

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Speaker 10: they were asked to present themselves. It's very much like

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Speaker 10: polling data. So when you look at these social media posts,

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Speaker 10: it looks like you're viewing pole data. So if this

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Speaker 10: one percent who are based outside the US are the

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Speaker 10: ones who are actually making these trades and creating this data,

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Speaker 10: that means you're seeing kind of predictions from people who

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Speaker 10: are outside the US, except it looks like a poll

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Speaker 10: and polling data is not supposed to have information from

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Speaker 10: anyone outside of the US, So it's a little bit

437
00:23:58,600 --> 00:24:05,959
Speaker 10: manipulative for people who may not understand that it's predictions, Betty,

438
00:24:06,800 --> 00:24:08,879
Speaker 10: because it just it really doesn't like poll data.

439
00:24:09,960 --> 00:24:12,680
Speaker 4: Meanwhile, the ads are viewers, whether they were voting on

440
00:24:12,720 --> 00:24:15,800
Speaker 4: Trump or Harrison, telling them, don't trust the polls. Trust

441
00:24:15,840 --> 00:24:18,879
Speaker 4: the market's fascinating story. Go read it, Margai Murphy. We

442
00:24:19,000 --> 00:24:20,760
Speaker 4: thank you on all things poly markets. Meanwhile, in a

443
00:24:20,800 --> 00:24:25,560
Speaker 4: presidential campaign marked by what seems amplified devisive rhetoric and rumors,

444
00:24:26,200 --> 00:24:29,520
Speaker 4: many are working to combat misinformation. Separate fat from fiction.

445
00:24:29,960 --> 00:24:33,119
Speaker 4: Danielle Lee Thompson so the Center for an Informed Public,

446
00:24:33,200 --> 00:24:36,720
Speaker 4: which focuses on translating research about misinformation into policy. You

447
00:24:36,880 --> 00:24:39,480
Speaker 4: join us now, and Danielle, there is a feeling of

448
00:24:40,200 --> 00:24:43,800
Speaker 4: amplified divisiveness, but is that feeling a reality?

449
00:24:46,400 --> 00:24:48,720
Speaker 2: Good morning, Carolyn, thank you for having me on the show.

450
00:24:49,200 --> 00:24:52,560
Speaker 2: The truth is, when you're online on social media on

451
00:24:52,720 --> 00:24:56,240
Speaker 2: election day, it's like trying to drink water from a

452
00:24:56,359 --> 00:24:59,000
Speaker 2: fire hydrant. There are so many feelings, so much on

453
00:24:59,200 --> 00:25:03,720
Speaker 2: circuit certainty, so much speculation about what is going on,

454
00:25:03,920 --> 00:25:06,480
Speaker 2: that it's actually very hard to get a true sense

455
00:25:06,600 --> 00:25:08,840
Speaker 2: a signal and the noise on a day like today.

456
00:25:09,800 --> 00:25:12,840
Speaker 2: So that's something that it's hard to tell exactly. We're

457
00:25:13,040 --> 00:25:15,560
Speaker 2: trying to sip through all of the rumors that are

458
00:25:15,600 --> 00:25:17,320
Speaker 2: happening to get a sense of what's going on.

459
00:25:18,680 --> 00:25:21,760
Speaker 5: Danielle. We've reported on this program in recent days about how,

460
00:25:22,200 --> 00:25:27,880
Speaker 5: for example, US cybersecurity officials are trying to re establish

461
00:25:28,000 --> 00:25:31,400
Speaker 5: some trust with the voting base. Have you any sort

462
00:25:31,440 --> 00:25:36,639
Speaker 5: of data research study that tells us how in this election,

463
00:25:36,800 --> 00:25:41,000
Speaker 5: literally today in twenty twenty four, misinformation and voter distrust

464
00:25:41,280 --> 00:25:45,000
Speaker 5: will be a factor relative to elections in the past.

465
00:25:47,200 --> 00:25:50,520
Speaker 2: Absolutely, So something that we have to understand that is

466
00:25:50,680 --> 00:25:54,080
Speaker 2: unique about this election in general is that so much

467
00:25:54,119 --> 00:25:58,720
Speaker 2: of the American public is primed to mistrust election results

468
00:25:58,920 --> 00:26:02,800
Speaker 2: on the Republican right, so we think of it as

469
00:26:02,920 --> 00:26:06,119
Speaker 2: kind of like the three c's right now, there are

470
00:26:06,200 --> 00:26:09,680
Speaker 2: people out there who have convinced the American public that

471
00:26:09,840 --> 00:26:14,119
Speaker 2: this election won't be safe, although it overwhelmingly by officials

472
00:26:14,240 --> 00:26:17,680
Speaker 2: it is safe. They encourage folks to go out and

473
00:26:17,800 --> 00:26:22,320
Speaker 2: collect evidence that there's something wrong happening on election day,

474
00:26:22,440 --> 00:26:25,080
Speaker 2: and of course, with one hundred and thirty thousand different

475
00:26:25,119 --> 00:26:28,520
Speaker 2: polling sites in America, there are bound to be irregularities

476
00:26:28,640 --> 00:26:32,080
Speaker 2: or glitches or altercations, but these have remedies, and then

477
00:26:32,160 --> 00:26:36,200
Speaker 2: finally people will go out and try to contest the

478
00:26:36,400 --> 00:26:42,400
Speaker 2: election results or processes or procedures legally or politically after this. So, yes,

479
00:26:42,520 --> 00:26:48,400
Speaker 2: it is true there is increased mistrust, particularly or predominantly

480
00:26:48,440 --> 00:26:53,240
Speaker 2: among Republicans. Democrats tend to trust elections, and we're going

481
00:26:53,280 --> 00:26:55,199
Speaker 2: to see some of that on play out online.

482
00:26:56,359 --> 00:26:59,920
Speaker 5: In twenty twenty, I was in Arizona election in tech

483
00:27:00,400 --> 00:27:03,280
Speaker 5: or the integrity of voting systems was the issue. Then,

484
00:27:03,840 --> 00:27:05,399
Speaker 5: what is the issue now today?

485
00:27:05,800 --> 00:27:05,840
Speaker 2: No?

486
00:27:06,520 --> 00:27:07,240
Speaker 5: Twenty four.

487
00:27:09,440 --> 00:27:12,879
Speaker 2: We've seen a couple of themes emerge in during early

488
00:27:13,040 --> 00:27:16,720
Speaker 2: voting and during today some of those were around alleged

489
00:27:16,840 --> 00:27:21,040
Speaker 2: fraudulent voter registration forms. Some of them are alleged glitches

490
00:27:21,280 --> 00:27:24,400
Speaker 2: in machines that are being extra one small problem being

491
00:27:24,520 --> 00:27:29,440
Speaker 2: extrapolated into a larger conspiracy theory. So those are some

492
00:27:29,640 --> 00:27:33,160
Speaker 2: issues that we've seen and that we will continue to see.

493
00:27:33,480 --> 00:27:36,760
Speaker 2: But it's important to remember that these issues tend to

494
00:27:36,800 --> 00:27:38,760
Speaker 2: have remedies, and that's a good thing.

495
00:27:39,440 --> 00:27:43,600
Speaker 4: Talking of remedies, you're looking and researching into misinformation and

496
00:27:43,640 --> 00:27:46,399
Speaker 4: then trying to convert it into policy. Is their future

497
00:27:46,440 --> 00:27:48,399
Speaker 4: policy that can help tackle this going forward?

498
00:27:50,560 --> 00:27:53,960
Speaker 2: It's a good question. Today we mostly focus on gathering

499
00:27:54,440 --> 00:27:57,960
Speaker 2: different types of data sets of how rumors spread on

500
00:27:58,240 --> 00:28:02,159
Speaker 2: platforms that is going to inform policy change, whether that

501
00:28:02,359 --> 00:28:06,480
Speaker 2: is internal to tech organizations or to government organizations, or

502
00:28:06,520 --> 00:28:10,840
Speaker 2: also to all the different election officials and boards of

503
00:28:10,880 --> 00:28:14,480
Speaker 2: elections around the country who want to gain the trust

504
00:28:14,560 --> 00:28:17,600
Speaker 2: and keep the trust of the American public. So that's

505
00:28:17,600 --> 00:28:20,720
Speaker 2: what we're focused on today, is getting that data to

506
00:28:20,800 --> 00:28:22,080
Speaker 2: help those solutions later.

507
00:28:23,440 --> 00:28:26,879
Speaker 5: Danielle Lee Thompson of the University of Washington, thank you

508
00:28:27,080 --> 00:28:29,560
Speaker 5: very much. Now coming up here on the program, why

509
00:28:29,680 --> 00:28:33,440
Speaker 5: election interference fears could linger, We speak with a former

510
00:28:33,520 --> 00:28:37,480
Speaker 5: chief of staff of the Cybersecurity and Infrastructure Security Agency,

511
00:28:38,080 --> 00:28:41,000
Speaker 5: Kiss and Todd, the snacks, the Spoonberg technology.

512
00:28:53,000 --> 00:28:55,760
Speaker 4: Voters heading out to the polls, top of mind is

513
00:28:55,840 --> 00:28:59,080
Speaker 4: security and alleviating fears of election interference for what could

514
00:28:59,120 --> 00:29:02,160
Speaker 4: be a hotly tested outcome. Joining us to discuss is

515
00:29:02,240 --> 00:29:05,000
Speaker 4: Kiss and Todd, former chief of staff for the Cybersecurity

516
00:29:05,000 --> 00:29:09,120
Speaker 4: and Infrastructure Security Agency, also now president of Creative Agency

517
00:29:09,200 --> 00:29:12,240
Speaker 4: wander Us and we rely and go to your CASO

518
00:29:12,400 --> 00:29:17,400
Speaker 4: and cyber readiness expertise here because we understand the misinformation concerns.

519
00:29:17,440 --> 00:29:19,800
Speaker 4: We were just talking about them with our previous guest.

520
00:29:20,240 --> 00:29:22,680
Speaker 4: Give us the facts that this is resilient, that we

521
00:29:22,800 --> 00:29:23,280
Speaker 4: are safe.

522
00:29:24,720 --> 00:29:25,400
Speaker 2: We are safe.

523
00:29:25,600 --> 00:29:29,440
Speaker 11: So while elections themselves are political, election security is not.

524
00:29:30,160 --> 00:29:34,239
Speaker 11: Election security is national security, and our election officials, our

525
00:29:34,280 --> 00:29:38,960
Speaker 11: election infrastructure stakeholders have never been more prepared to administer

526
00:29:39,160 --> 00:29:42,320
Speaker 11: a safe, secure, and resilient election. What's important to note

527
00:29:42,440 --> 00:29:46,200
Speaker 11: is that after the twenty sixteen election, elections themselves became

528
00:29:46,280 --> 00:29:49,800
Speaker 11: critical infrastructure, which means that we determined, as a federal

529
00:29:49,880 --> 00:29:53,000
Speaker 11: government with industry that elections are critical to how we

530
00:29:53,120 --> 00:29:57,200
Speaker 11: function as a society. Therefore, additional resources have been allocated

531
00:29:57,320 --> 00:29:59,800
Speaker 11: to all of the state and local officials that are

532
00:30:00,120 --> 00:30:03,600
Speaker 11: actively prepare, have actively prepared for, and are now administering

533
00:30:03,640 --> 00:30:04,240
Speaker 11: these elections.

534
00:30:04,560 --> 00:30:06,800
Speaker 4: Can you give us exact details of I mean, resuls

535
00:30:06,920 --> 00:30:10,520
Speaker 4: is one thing, but actual practices, ways in which we

536
00:30:10,680 --> 00:30:13,160
Speaker 4: know and can trust in the systems that exist.

537
00:30:14,120 --> 00:30:15,720
Speaker 10: So first of all, we have to look historically.

538
00:30:15,800 --> 00:30:18,720
Speaker 11: So since the beginning of twenty twenty three, the federal

539
00:30:18,760 --> 00:30:21,600
Speaker 11: government has worked closely with state and local officials to

540
00:30:21,720 --> 00:30:26,320
Speaker 11: conduct physical assessments of election systems. Importantly, to run almost

541
00:30:26,360 --> 00:30:31,320
Speaker 11: two hundred exercises that prepare these individuals and these communities

542
00:30:31,400 --> 00:30:34,680
Speaker 11: in these regions for different scenarios that may come into play.

543
00:30:34,960 --> 00:30:37,560
Speaker 11: It's also important to note that elections are not connected

544
00:30:37,600 --> 00:30:40,840
Speaker 11: to the Internet, therefore giving it a different level of resilience.

545
00:30:41,200 --> 00:30:44,920
Speaker 11: And what's also very critical is that ninety seven percent

546
00:30:45,480 --> 00:30:49,600
Speaker 11: of registered voters are in jurisdictions with paper records, meaning

547
00:30:49,680 --> 00:30:52,520
Speaker 11: we have this backup and this resilience for audits, etc.

548
00:30:54,680 --> 00:30:59,920
Speaker 5: Kissen. Last night, US intelligence agencies issued a joint statement

549
00:31:00,080 --> 00:31:04,640
Speaker 5: that in our reporting we say is unprecedented. Warning the adversaries,

550
00:31:04,800 --> 00:31:08,160
Speaker 5: Russia being at the forefront of it, has stepped up

551
00:31:08,240 --> 00:31:13,600
Speaker 5: efforts to disrupt this election, calling on your experience and

552
00:31:13,760 --> 00:31:19,120
Speaker 5: your time in relevant agencies. Why is that significant, Well,

553
00:31:19,160 --> 00:31:20,040
Speaker 5: what we know is.

554
00:31:20,080 --> 00:31:25,760
Speaker 11: That our foreign adversaries are absolutely conducting malign influence operations

555
00:31:26,040 --> 00:31:29,920
Speaker 11: that have two real goals. The first is to undermine

556
00:31:29,960 --> 00:31:33,000
Speaker 11: the confidence of Americans in our democracy and the second

557
00:31:33,200 --> 00:31:36,880
Speaker 11: is to sow discord, to just pit Americans against one

558
00:31:36,880 --> 00:31:39,840
Speaker 11: another when there's actually nothing there. But what is critical

559
00:31:39,880 --> 00:31:42,960
Speaker 11: about this election is we're seeing the federal government work

560
00:31:43,000 --> 00:31:46,200
Speaker 11: across agencies to put out these joint announcements and to

561
00:31:46,280 --> 00:31:49,760
Speaker 11: get this information out as quickly as possible. This is

562
00:31:49,800 --> 00:31:52,200
Speaker 11: a big difference from where we were in twenty sixteen,

563
00:31:52,560 --> 00:31:55,520
Speaker 11: twenty eighteen, twenty twenty twenty two. It's improved each year.

564
00:31:55,840 --> 00:31:58,200
Speaker 11: So actually the more that we hear about this, the

565
00:31:58,320 --> 00:32:02,000
Speaker 11: better because there is information that we are being able

566
00:32:02,040 --> 00:32:04,480
Speaker 11: to communicate to voters to say, be aware of this,

567
00:32:04,720 --> 00:32:08,120
Speaker 11: so that we're creating a more educated electorate.

568
00:32:09,800 --> 00:32:14,959
Speaker 5: Through cybersecurity. What are the biggest vulnerabilities that a voter today,

569
00:32:15,080 --> 00:32:17,440
Speaker 5: of all days, might face throughout the day. Where is

570
00:32:18,080 --> 00:32:21,560
Speaker 5: this manifesting itself for everyday people.

571
00:32:23,120 --> 00:32:26,680
Speaker 11: I worry less about cybersecurity. I worry more about just

572
00:32:26,800 --> 00:32:30,400
Speaker 11: people's confidence in the system. There's never been a more

573
00:32:30,440 --> 00:32:34,600
Speaker 11: important time for individuals for citizens to believe in the

574
00:32:34,720 --> 00:32:37,680
Speaker 11: resilience of this nation, to believe in our ability to

575
00:32:38,520 --> 00:32:42,000
Speaker 11: conduct safe, secure elections, and to be personally resilient. And

576
00:32:42,160 --> 00:32:45,880
Speaker 11: each voter has accountability and responsibility in this moment to

577
00:32:45,960 --> 00:32:49,440
Speaker 11: get the right information. State and local election officials are

578
00:32:49,560 --> 00:32:52,840
Speaker 11: the trusted sources for information. If a voter has any

579
00:32:52,920 --> 00:32:56,960
Speaker 11: doubt about anything, to go, Typically they're on websites. Vote

580
00:32:56,960 --> 00:32:59,479
Speaker 11: dot Gov can direct you where to go. But it's

581
00:32:59,520 --> 00:33:03,840
Speaker 11: really portant that individuals and voters find this information to

582
00:33:04,120 --> 00:33:04,720
Speaker 11: be secure.

583
00:33:06,560 --> 00:33:10,000
Speaker 5: OK, bear with us. Former President Donald Trump is speaking

584
00:33:10,000 --> 00:33:12,640
Speaker 5: in Palm Beach, Florida, where he's cast his vote.

585
00:33:13,000 --> 00:33:16,240
Speaker 8: In force, So we'll see how it turns out. But

586
00:33:16,360 --> 00:33:19,160
Speaker 8: it seems that they have really shown up in force.

587
00:33:19,240 --> 00:33:22,800
Speaker 8: I just got a call from Dan Patrick in Texas.

588
00:33:22,880 --> 00:33:25,880
Speaker 8: He said, they've never seen anything like It's been great.

589
00:33:32,600 --> 00:33:34,760
Speaker 8: Look regrets, you always have regrets. I can't think of

590
00:33:34,840 --> 00:33:37,200
Speaker 8: any to be honest, to use her expression, I can't

591
00:33:37,240 --> 00:33:41,800
Speaker 8: think of any Look. I ran a great campaign. I

592
00:33:41,880 --> 00:33:44,960
Speaker 8: think it was maybe the best of the three. We

593
00:33:45,120 --> 00:33:48,000
Speaker 8: did great in the first one. We did much better

594
00:33:48,080 --> 00:33:52,320
Speaker 8: in the second one, but something happened and this was

595
00:33:52,360 --> 00:33:54,280
Speaker 8: the best. I would say this was the best campaign.

596
00:33:54,360 --> 00:33:54,720
Speaker 1: Were in.

597
00:33:57,000 --> 00:33:59,680
Speaker 12: The possibility that you and Vice President Harris both might

598
00:33:59,760 --> 00:34:02,160
Speaker 12: not get to two hundred and seventy electoral votes by

599
00:34:02,160 --> 00:34:02,720
Speaker 12: the end of tonight.

600
00:34:03,800 --> 00:34:06,400
Speaker 8: It should never happen. A thing like that should never happen.

601
00:34:06,480 --> 00:34:08,680
Speaker 8: This election should be over. They spend all this money

602
00:34:08,719 --> 00:34:11,880
Speaker 8: on machines, and frankly, if they'd use paper ballots, it

603
00:34:11,920 --> 00:34:14,319
Speaker 8: would be over by ten o'clock. And by the way,

604
00:34:14,400 --> 00:34:17,160
Speaker 8: the paper ballots would cost eight percent. It would be

605
00:34:17,440 --> 00:34:21,560
Speaker 8: eight percent of the cost. If they would use paper ballots,

606
00:34:22,480 --> 00:34:26,640
Speaker 8: voter ID proof of citizenship and one day voting, it

607
00:34:26,680 --> 00:34:28,640
Speaker 8: would all be over by ten o'clock in the evening.

608
00:34:29,040 --> 00:34:33,600
Speaker 8: It's crazy. They use these very expensive computers and they

609
00:34:33,760 --> 00:34:36,600
Speaker 8: I'm hearing in Pennsylvania they won't have an answer till

610
00:34:37,040 --> 00:34:40,600
Speaker 8: two or three days from now. I think it's an

611
00:34:40,760 --> 00:34:44,439
Speaker 8: absolute outrage. If that's the case, well maybe it'll be later.

612
00:34:44,560 --> 00:34:49,080
Speaker 8: But it's paper ballots. In France they went paper ballots

613
00:34:49,120 --> 00:34:51,800
Speaker 8: because the mail in was not working. It was corrupt.

614
00:34:52,640 --> 00:34:56,719
Speaker 8: And in France they went paper ballots, and at ten

615
00:34:56,760 --> 00:34:59,280
Speaker 8: o'clock in the evening they had thirty seven million votes

616
00:34:59,360 --> 00:35:01,640
Speaker 8: counted done, they had a winner, they had a loser,

617
00:35:02,400 --> 00:35:04,080
Speaker 8: and in this country, I mean, I'm just hearing that

618
00:35:04,280 --> 00:35:08,399
Speaker 8: in certain states, it's going to be a long time

619
00:35:08,480 --> 00:35:11,200
Speaker 8: and it won't even be close. It won't even be

620
00:35:11,360 --> 00:35:13,400
Speaker 8: that close. They say I'm going to win the state,

621
00:35:13,960 --> 00:35:16,080
Speaker 8: but it's going to take a long time to certify.

622
00:35:17,080 --> 00:35:19,400
Speaker 12: Did you see a world where you don't declare victory tonight.

623
00:35:20,640 --> 00:35:22,879
Speaker 8: Yeah, I mean, I'm hearing the same things that you're hearing.

624
00:35:22,960 --> 00:35:24,960
Speaker 8: I'm hearing states where I'm up by a lot, but

625
00:35:25,040 --> 00:35:26,960
Speaker 8: they won't have a final number for a long time

626
00:35:28,239 --> 00:35:31,239
Speaker 8: in terms of watching the results and so forth. So

627
00:35:31,640 --> 00:35:34,360
Speaker 8: we're going to have a very special group of people,

628
00:35:35,160 --> 00:35:37,960
Speaker 8: many of whom you know, and they'll be at Marlago.

629
00:35:38,000 --> 00:35:40,680
Speaker 8: In addition, we'll have four or five thousand people at

630
00:35:40,719 --> 00:35:45,000
Speaker 8: the convention center on the assumption I win. I mean,

631
00:35:45,040 --> 00:35:47,440
Speaker 8: I don't know if something else happens. I don't know

632
00:35:47,600 --> 00:35:50,360
Speaker 8: what's going to happen in terms of declaring victory. But

633
00:35:52,480 --> 00:35:55,040
Speaker 8: if in normal times, I would go over to the

634
00:35:55,120 --> 00:35:58,480
Speaker 8: convention center, let's say at ten o'clock or eleven o'clock

635
00:35:58,600 --> 00:36:01,439
Speaker 8: or something. But I just don't know. Well, it looks

636
00:36:01,520 --> 00:36:03,680
Speaker 8: like we have a very substantial lead. It looks like

637
00:36:03,760 --> 00:36:07,000
Speaker 8: we have many more Republicans voting today than Democrats. So

638
00:36:07,160 --> 00:36:09,399
Speaker 8: if you have a lead and we have a bigger vote,

639
00:36:09,440 --> 00:36:11,719
Speaker 8: that means you're doing very well. But they have to

640
00:36:11,800 --> 00:36:16,080
Speaker 8: call a winner. They should, and they should call a winner. Yes,

641
00:36:20,360 --> 00:36:27,800
Speaker 8: I just stopped talking about that. Go ahead. Oh, I

642
00:36:27,840 --> 00:36:30,880
Speaker 8: don't know. I was honored to get Joe Rogan last night.

643
00:36:30,960 --> 00:36:32,920
Speaker 8: I mean, if Joe Rogan's a big deal, is a

644
00:36:33,080 --> 00:36:38,800
Speaker 8: very respected person. And I must tell you Megan was fantastic.

645
00:36:38,920 --> 00:36:40,799
Speaker 8: She got up and said some things that were really

646
00:36:40,840 --> 00:36:43,759
Speaker 8: pretty amazing. But before that, I just think we ran

647
00:36:43,840 --> 00:36:46,719
Speaker 8: a good campaign. I had good policy. I had. We

648
00:36:46,840 --> 00:36:48,759
Speaker 8: want people to come into our country, but they have

649
00:36:48,840 --> 00:36:51,280
Speaker 8: to come in legally. You know. We want strong boarders

650
00:36:51,320 --> 00:36:53,680
Speaker 8: and we want people to come in. We want to

651
00:36:53,719 --> 00:36:55,759
Speaker 8: be totally inclusive, but they have to come in. I

652
00:36:55,800 --> 00:36:57,239
Speaker 8: think that was a big issue. To me, that was

653
00:36:57,280 --> 00:36:59,920
Speaker 8: the biggest issue. I may be wrong. A lot of

654
00:37:00,040 --> 00:37:02,640
Speaker 8: people said inflation. Inflation is a disaster, but I think

655
00:37:02,680 --> 00:37:05,520
Speaker 8: it's a second issue. I think the first is the border.

656
00:37:06,080 --> 00:37:09,120
Speaker 8: We can't allow criminals to be put back into our

657
00:37:09,160 --> 00:37:10,920
Speaker 8: country or to be put into our country.

658
00:37:11,719 --> 00:37:12,160
Speaker 3: So you have.

659
00:37:12,719 --> 00:37:17,040
Speaker 8: Thirteen thousand plus murderers allowed to roam in our country,

660
00:37:17,560 --> 00:37:19,000
Speaker 8: I'm not going to be allowed to have to go.

661
00:37:19,880 --> 00:37:23,719
Speaker 8: You have drug dealers, you have terrorists, you have a

662
00:37:23,840 --> 00:37:26,560
Speaker 8: tremendous amount of people that should not be in our country.

663
00:37:26,640 --> 00:37:29,320
Speaker 8: And we need strong borders in this country. And I

664
00:37:29,360 --> 00:37:31,360
Speaker 8: think people are voting that. I think it's personally. I

665
00:37:31,400 --> 00:37:33,000
Speaker 8: think it's a number one issue. We'll see how it

666
00:37:33,520 --> 00:37:35,600
Speaker 8: pans out, but I think it's a number one issue.

667
00:37:41,640 --> 00:37:44,080
Speaker 8: I don't have to tell them that. I don't have

668
00:37:44,160 --> 00:37:46,520
Speaker 8: to tell I don't have to tell them that there'll

669
00:37:46,520 --> 00:37:48,480
Speaker 8: be no violence. Of course there'll be no violence. My

670
00:37:48,600 --> 00:37:52,239
Speaker 8: supporters are not violent people. I don't have to tell

671
00:37:52,320 --> 00:37:56,000
Speaker 8: them then, and I certainly don't want any violence. But

672
00:37:56,160 --> 00:37:58,120
Speaker 8: I certainly don't have to tell these are great people.

673
00:37:58,680 --> 00:38:03,000
Speaker 8: These are people that believe in no violence. Unlike your question,

674
00:38:03,160 --> 00:38:11,960
Speaker 8: you believe in violence. Where would you be going, Well,

675
00:38:12,000 --> 00:38:13,440
Speaker 8: I think I'll be at mar A Lago for the

676
00:38:13,520 --> 00:38:16,600
Speaker 8: most part. We have a lot of political professionals. I'm

677
00:38:16,640 --> 00:38:20,800
Speaker 8: going over now with Malaney, who I'm very proud of.

678
00:38:20,920 --> 00:38:23,400
Speaker 8: She's got the number one best seller, can you believe

679
00:38:23,440 --> 00:38:26,879
Speaker 8: that he can believe it. But so we're very proud

680
00:38:26,920 --> 00:38:28,680
Speaker 8: of the job she's done with that. Your book is

681
00:38:28,800 --> 00:38:31,200
Speaker 8: number one. But we're going to go over to the

682
00:38:31,280 --> 00:38:34,279
Speaker 8: office in West Palm and we're going to say a

683
00:38:34,320 --> 00:38:38,120
Speaker 8: lot of the workers they've worked very hard for your

684
00:38:38,160 --> 00:38:40,920
Speaker 8: first indication. I think so. I mean, I hear we're

685
00:38:40,960 --> 00:38:43,920
Speaker 8: doing very well there in Georgia. I hear we're doing

686
00:38:44,080 --> 00:38:49,400
Speaker 8: very well. I hear we're doing very well everywhere. Now

687
00:38:49,520 --> 00:38:53,239
Speaker 8: I may be I may regret that statement, but I'm

688
00:38:53,320 --> 00:38:59,920
Speaker 8: hearing that we're doing very well. Would you go out.

689
00:39:05,520 --> 00:39:08,759
Speaker 8: I haven't prepared a speech. I did speeches last night,

690
00:39:09,800 --> 00:39:13,040
Speaker 8: all day long, all night long. At two o'clock in

691
00:39:13,080 --> 00:39:17,560
Speaker 8: the morning, we left and we did a lot of speeches.

692
00:39:17,600 --> 00:39:24,880
Speaker 8: You can probably tell no, I don't have to do that.

693
00:39:25,400 --> 00:39:30,319
Speaker 8: You know, I'm not a Democrat. I'm able to make

694
00:39:30,360 --> 00:39:33,440
Speaker 8: a speech on pretty quick notice if I win. I

695
00:39:33,600 --> 00:39:35,960
Speaker 8: know what I'm going to say, and I don't even

696
00:39:36,000 --> 00:39:38,320
Speaker 8: want to think about the losing part. I would like

697
00:39:38,440 --> 00:39:40,839
Speaker 8: to tell all of the people that are on line

698
00:39:40,960 --> 00:39:45,680
Speaker 8: to stay online. We have tremendous Republican lines and I've

699
00:39:45,719 --> 00:39:49,120
Speaker 8: been asked I actually to say it it takes a while.

700
00:39:50,000 --> 00:39:53,640
Speaker 8: I'd like to just make the satement that I'd like

701
00:39:53,880 --> 00:39:57,400
Speaker 8: the Republicans to stay online. Democrats, if they'd like, they

702
00:39:57,440 --> 00:40:00,800
Speaker 8: can leave, but I like the Republicans to stay online.

703
00:40:10,160 --> 00:40:13,479
Speaker 8: I have no pressure whatsoever. I'm winning big cases. Those

704
00:40:13,560 --> 00:40:15,800
Speaker 8: cases are all being one. The biggest case was the

705
00:40:15,880 --> 00:40:19,120
Speaker 8: Florida case, and it's been one. I appreciate your nice question.

706
00:40:21,640 --> 00:40:25,680
Speaker 8: No pressure nine for nine years, regardless of what happened tonight.

707
00:40:25,760 --> 00:40:26,880
Speaker 8: Is this your last campaign?

708
00:40:27,120 --> 00:40:27,400
Speaker 2: Are you?

709
00:40:27,560 --> 00:40:29,719
Speaker 8: Are you done after this? I would think so. I

710
00:40:30,800 --> 00:40:37,239
Speaker 8: would think, so, said said and very fulfilled. I think

711
00:40:37,320 --> 00:40:41,120
Speaker 8: we're gonna have a very big victory today. Very good,

712
00:40:41,200 --> 00:40:51,879
Speaker 8: thank you, Thank you. Start transition team. But I don't

713
00:40:51,960 --> 00:40:54,800
Speaker 8: like talking about that until I find out how we do.

714
00:40:55,040 --> 00:41:05,080
Speaker 8: I mean, well, it doesn't look we're not looking to

715
00:41:05,160 --> 00:41:07,320
Speaker 8: do damage to a RAM. But they can't have a

716
00:41:07,400 --> 00:41:10,040
Speaker 8: nuclear weapon, and say, you know, my terms are very easy.

717
00:41:10,120 --> 00:41:11,800
Speaker 8: They can't have a nuclear op and I want to.

718
00:41:12,480 --> 00:41:15,000
Speaker 8: I'd like them to be a very successful country, but

719
00:41:15,120 --> 00:41:20,600
Speaker 8: they just can't have a nuclear with well, I think

720
00:41:20,719 --> 00:41:25,960
Speaker 8: Secret Service has been a little bit tougher. To put

721
00:41:25,960 --> 00:41:29,279
Speaker 8: it mildly, I see more machine guns than I've ever

722
00:41:29,320 --> 00:41:32,719
Speaker 8: seen in my life was surrounded by I feel very

723
00:41:32,800 --> 00:41:35,879
Speaker 8: confident with Secret Service. I think they've stepped up. Look,

724
00:41:35,920 --> 00:41:37,680
Speaker 8: for a long time, they didn't give us the help.

725
00:41:37,760 --> 00:41:41,080
Speaker 8: They didn't give us the assets, as they say, the manpower,

726
00:41:41,160 --> 00:41:43,600
Speaker 8: woman power. They didn't give it to us, and would

727
00:41:43,600 --> 00:41:46,439
Speaker 8: have rallies. You saw the rallies fifty sixty thousand people

728
00:41:46,520 --> 00:41:49,600
Speaker 8: and I'd have less people than Joe Biden who had

729
00:41:49,640 --> 00:41:53,040
Speaker 8: five people show up. And I'd have fifty five thousand

730
00:41:53,120 --> 00:41:55,279
Speaker 8: people show up, and I had fewer people than him.

731
00:41:56,160 --> 00:41:58,920
Speaker 8: So they should have done a much better job. And

732
00:41:59,360 --> 00:42:02,600
Speaker 8: by frank and frankly, the President should make a very

733
00:42:02,640 --> 00:42:08,600
Speaker 8: strong statement to the outside world because I think my

734
00:42:08,719 --> 00:42:11,560
Speaker 8: team is incredible. Look, they say it's the best run

735
00:42:11,640 --> 00:42:15,000
Speaker 8: campaign they've seen. Some people say it's the best run

736
00:42:15,120 --> 00:42:18,080
Speaker 8: campaign they've ever seen. But in order to make that stick,

737
00:42:18,080 --> 00:42:18,319
Speaker 8: you have.

738
00:42:18,360 --> 00:42:18,719
Speaker 2: To win.

739
00:42:20,320 --> 00:42:20,680
Speaker 8: Campaign.

740
00:42:20,760 --> 00:42:23,200
Speaker 10: Are you more confident now than you were that you were.

741
00:42:25,239 --> 00:42:27,600
Speaker 8: My team? I'm very confident. And many of them are

742
00:42:27,640 --> 00:42:30,960
Speaker 8: the same players, as you know, Susie. A lot of

743
00:42:31,000 --> 00:42:42,960
Speaker 8: the people of the same players have been very good. Well.

744
00:42:43,120 --> 00:42:45,000
Speaker 8: I think it's ridiculous. You know, Oprah, I was on

745
00:42:45,120 --> 00:42:47,880
Speaker 8: her last show or one of her last shows and

746
00:42:48,080 --> 00:42:50,759
Speaker 8: they picked the biggest people and all of that and

747
00:42:51,719 --> 00:42:55,160
Speaker 8: made a big deal. And I'm actually I'm disappointed. I

748
00:42:55,200 --> 00:42:57,800
Speaker 8: think Oprah has become a major divider in our country,

749
00:42:58,400 --> 00:43:01,160
Speaker 8: and I think frankly should be She's be ashamed of herself.

750
00:43:01,640 --> 00:43:04,280
Speaker 8: And you know who else should be ashamed? Fox? Because

751
00:43:04,320 --> 00:43:07,320
Speaker 8: I've seen Oprah on Fox about fifty times making the

752
00:43:07,400 --> 00:43:10,640
Speaker 8: same statement, and I think it's a disgrace what Fox does.

753
00:43:10,719 --> 00:43:13,680
Speaker 8: Because everyone thinks Fox is so pro Trump, They're not

754
00:43:13,760 --> 00:43:17,640
Speaker 8: pro Trump at all. They've put Oprah on all morning long.

755
00:43:17,760 --> 00:43:20,600
Speaker 8: That's all I see is Oprah. And you know I

756
00:43:20,800 --> 00:43:23,320
Speaker 8: do Oprah very well. She's been a Marlago many times.

757
00:43:23,480 --> 00:43:27,160
Speaker 8: Roger King had his funeral. That's a head of Kingworld,

758
00:43:27,280 --> 00:43:31,919
Speaker 8: which was Oprah's mentor, and Oprah chose the location. She said,

759
00:43:32,000 --> 00:43:34,360
Speaker 8: Marlago is the most beautiful place. Would it be possible

760
00:43:34,400 --> 00:43:37,320
Speaker 8: to have Rogers funeral at mar Alago in the ballroom.

761
00:43:37,360 --> 00:43:39,160
Speaker 8: We did it the only time I've ever had a

762
00:43:39,200 --> 00:43:42,800
Speaker 8: funeral there. And I think Oprah should be ashamed of

763
00:43:42,880 --> 00:43:44,719
Speaker 8: herself to say that she should be a shaped. She

764
00:43:44,840 --> 00:43:47,520
Speaker 8: knows me. She wanted to run with me as a

765
00:43:47,640 --> 00:43:49,720
Speaker 8: vice president. She was going to be the vice president.

766
00:43:49,800 --> 00:43:51,800
Speaker 8: She wrote me a letter, it's in the book. And

767
00:43:51,920 --> 00:43:53,960
Speaker 8: now she goes to make statements like that she's a

768
00:43:54,040 --> 00:43:57,719
Speaker 8: divider and Barack Hussein Obama is a divider too.

769
00:44:00,000 --> 00:44:02,520
Speaker 12: Concerned that you didn't concede the election in twenty twenty

770
00:44:02,560 --> 00:44:04,520
Speaker 12: when you lost, they're concerned that if you lost this election,

771
00:44:04,560 --> 00:44:06,439
Speaker 12: you wouldn't concede again. What do you say to those people?

772
00:44:06,760 --> 00:44:08,960
Speaker 8: I think they're crazy. If I lose an election, if

773
00:44:09,000 --> 00:44:11,400
Speaker 8: it's a fair election, I'm going to I'd be the

774
00:44:11,480 --> 00:44:15,960
Speaker 8: first one to acknowledge it. And I think it's well

775
00:44:16,040 --> 00:44:17,879
Speaker 8: so far, I think it's been fair. I think there's

776
00:44:17,960 --> 00:44:21,600
Speaker 8: been a lot of court cases. Both sides are lawyered up.

777
00:44:22,280 --> 00:44:25,680
Speaker 8: Thousands of lawyers are involved, you know, thousands, can you imagine?

778
00:44:26,680 --> 00:44:28,920
Speaker 8: And part of that is because we have too complicated

779
00:44:29,000 --> 00:44:31,440
Speaker 8: a process. If we had a piece of paper watermark

780
00:44:32,080 --> 00:44:35,320
Speaker 8: you know that paper is more sophisticated now than computers.

781
00:44:35,920 --> 00:44:43,400
Speaker 8: It's watermarked paper, you cannot It's it's unbelievable what happens

782
00:44:43,480 --> 00:44:47,400
Speaker 8: with it. There's nothing you can do to cheat, and

783
00:44:47,520 --> 00:44:50,600
Speaker 8: of course you have practically nothing to run. Think of it.

784
00:44:51,040 --> 00:44:54,360
Speaker 8: We spend hundreds of millions and billions of dollars on

785
00:44:54,440 --> 00:44:57,279
Speaker 8: these campaigns. You could do it for eight percent of

786
00:44:57,400 --> 00:45:00,360
Speaker 8: the cost and have accuracy and we wouldn't have to

787
00:45:00,440 --> 00:45:04,120
Speaker 8: be worried about when is Pennsylvania going to announce? It's

788
00:45:04,160 --> 00:45:17,120
Speaker 8: really a shame. Well, he knows exactly what, but that's

789
00:45:17,200 --> 00:45:19,600
Speaker 8: only based on what RFK told. I don't think RFK

790
00:45:19,719 --> 00:45:24,120
Speaker 8: wanted that. You're talking about health and human services. Let

791
00:45:24,200 --> 00:45:26,600
Speaker 8: me tell you he's a great guy, RFK, and he's

792
00:45:26,680 --> 00:45:28,319
Speaker 8: going to do pretty much what he wants as far

793
00:45:28,320 --> 00:45:31,279
Speaker 8: as I'm concerned. He wants health for women, for men,

794
00:45:31,440 --> 00:45:34,520
Speaker 8: for children, and I happen to agree with a lot

795
00:45:34,600 --> 00:45:37,200
Speaker 8: of the things he says. The one thing I told

796
00:45:37,280 --> 00:45:39,680
Speaker 8: him and I've told you in speeches for the last

797
00:45:39,719 --> 00:45:42,000
Speaker 8: two weeks, we got to keep them away from the

798
00:45:42,080 --> 00:45:44,440
Speaker 8: liquid goal because the liquid goal we have more than

799
00:45:44,480 --> 00:45:47,840
Speaker 8: any of it. It's oiled called oil and gas. That

800
00:45:47,960 --> 00:45:48,880
Speaker 8: one I'm going to handle.

801
00:45:51,440 --> 00:45:51,600
Speaker 7: Well.

802
00:45:51,640 --> 00:45:53,719
Speaker 8: I'd be honored to have him now, and I haven't

803
00:45:53,719 --> 00:45:57,680
Speaker 8: spoken a hard about that, but look, if you think

804
00:45:57,719 --> 00:46:01,560
Speaker 8: of it, he came in third, you know, and running

805
00:46:01,600 --> 00:46:03,800
Speaker 8: for president, right, He ran a very good race. He

806
00:46:04,680 --> 00:46:08,279
Speaker 8: had obstacles. The Democrats just really unfairly put obstacles up,

807
00:46:08,320 --> 00:46:11,839
Speaker 8: and hence A Kennedy left the Democrat Party for the Republicans.

808
00:46:12,520 --> 00:46:14,600
Speaker 8: There's a very smart Guy's are very carey guy. It's

809
00:46:14,680 --> 00:46:16,800
Speaker 8: very popular too. We get up and introduce him, the

810
00:46:16,840 --> 00:46:20,239
Speaker 8: place goes well. No, we love having them, and you

811
00:46:20,280 --> 00:46:23,759
Speaker 8: know who else. We love having Elon He's been great

812
00:46:24,040 --> 00:46:28,000
Speaker 8: and everybody. Look, everybody getting Joe Rogan last night and

813
00:46:28,160 --> 00:46:31,440
Speaker 8: Megan Cally. We just have This is very inclusive. This

814
00:46:31,600 --> 00:46:36,880
Speaker 8: is a movement. This is the greatest political movement in

815
00:46:36,960 --> 00:46:40,600
Speaker 8: the history of our country. And even new people and

816
00:46:41,719 --> 00:46:46,160
Speaker 8: some of you affairs sometimes, but it's the greatest movement

817
00:46:46,239 --> 00:46:49,000
Speaker 8: in the history of our country. And I've made that

818
00:46:49,120 --> 00:46:52,440
Speaker 8: statement a thousand times. It has never been challenged. It

819
00:46:52,560 --> 00:46:55,880
Speaker 8: is the greatest movement. And we're going to make America

820
00:46:55,960 --> 00:46:56,399
Speaker 8: great again.

821
00:46:56,480 --> 00:46:58,600
Speaker 5: Thinks recap on the podcast. You know where to find

822
00:46:58,640 --> 00:47:01,120
Speaker 5: it online on those platforms. Do on the Bloomberg ones

823
00:47:01,160 --> 00:47:03,360
Speaker 5: as well. Thank you team in New York, Thank you

824
00:47:03,520 --> 00:47:07,040
Speaker 5: team here in San Francisco. Get some rest because there's

825
00:47:07,080 --> 00:47:09,440
Speaker 5: a lot more to come. This is Bloomberg Technology