WEBVTT - Pfizer Reversing Price Hikes After Trump Bullying Won’t Last

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<v Speaker 1>I want to shift your focus to the pharmaceutical industry.

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<v Speaker 1>We've been talking a lot about when President Trump is

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<v Speaker 1>going to shift his focus to lowering drug prices. It

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<v Speaker 1>appears to be that the time is now and joining

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<v Speaker 1>us as Max Neeson Biotech, pharma and healthcare columnists for

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<v Speaker 1>Bloomberg Opinion, our oracle of the pharmaceutical industry and all

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<v Speaker 1>things healthcare. Max, so just lay out what happened with

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<v Speaker 1>Fiser and President Trump's involvement here. Well, as it always

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<v Speaker 1>is with drug pricing, there there's more uh, and there

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<v Speaker 1>appears to be on the surface so UM as it

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<v Speaker 1>usually does kind of on a six month basis. Um

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<v Speaker 1>Fightser raised drug prices on on a number of Medica

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<v Speaker 1>a number of its medications. The President took to Twitter

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<v Speaker 1>to criticize them for that on July nine, and then

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<v Speaker 1>yesterday evening he announced that after speaking to the to

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<v Speaker 1>Fightser CEO on the phone with the Health and Human

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<v Speaker 1>Services sectary alex as R, they had agreed to roll

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<v Speaker 1>back the price hikes they had planned to take, probably

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<v Speaker 1>sometime in the next few weeks, but not permanently. It's

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<v Speaker 1>either until January one or until the President's Drug Price

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<v Speaker 1>Blueprint is enacted, though no difficient definition of enacted there so,

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<v Speaker 1>UM it is a temporary rollback of prices opposed to

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<v Speaker 1>something permanent or drastic max. Is this really what the

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<v Speaker 1>pharmaceutical industry is looking for, which is an ad hoc

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<v Speaker 1>kind of strategy on the part of the administration to

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<v Speaker 1>deal with drug prices? Um? You know, I don't think

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<v Speaker 1>this is how they really prefer to to operate. UM.

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<v Speaker 1>Just kind of unilateral public negotiations UM in kind of

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<v Speaker 1>the public sphere and then just kind of the President

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<v Speaker 1>using the bully probed on an individual basis. I think

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<v Speaker 1>that's what they've been scared up for a long time,

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<v Speaker 1>which is probably why Fiser kind of chose to engage

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<v Speaker 1>in this way. But I think they actually got a

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<v Speaker 1>decent deal out of it. They kind of remove themselves

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<v Speaker 1>from criticism without really giving up all that much. There.

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<v Speaker 1>The reason I asked you is because maybe this is

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<v Speaker 1>the way to do it. I mean, maybe this is

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<v Speaker 1>the way to avoid having the back and forth of

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<v Speaker 1>lobby interests in the Congress trying to manipulate or to

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<v Speaker 1>massage the let potential legislation that would create some kind

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<v Speaker 1>of consistent plan. And maybe this is the way that

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<v Speaker 1>the President has decided to go at it because he

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<v Speaker 1>doesn't want to have to do with the special interest

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<v Speaker 1>groups or the pressure that's been previously applied to drug

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<v Speaker 1>price that that actually makes a lot of sense in

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<v Speaker 1>the sense you give the president kind of a big

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<v Speaker 1>public victory. He gets to play um master negotiator, which

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<v Speaker 1>is a favorite role of his, and and you know,

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<v Speaker 1>have this sort of talking point like, look at me,

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<v Speaker 1>I brought drug prices down, um, even though the actual

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<v Speaker 1>impact on you know, fiser, on patients, on the drug

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<v Speaker 1>pricing problem at all is actually quite minimal. Well, okay,

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<v Speaker 1>so President Trump is one part of this, and fightser

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<v Speaker 1>is certainly a specific story, but more broadly, there were

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<v Speaker 1>a number of drug makers that lowered their prices in

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<v Speaker 1>response to a new California law that aims to provide

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<v Speaker 1>more transparency to the pharmaceutical industry. So even if President

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<v Speaker 1>Trump is taking that out ad hoc approach, states are

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<v Speaker 1>being more systematic in this case California absolutely, and um,

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<v Speaker 1>you know, it's difficult to tell exactly how much of

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<v Speaker 1>those price rollbacks are are ascribable to the law as

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<v Speaker 1>opposed to whether we just happen to find out about them,

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<v Speaker 1>because of the way that the laws of structure. Basically

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<v Speaker 1>it requires drug makers to to kind of report and

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<v Speaker 1>justify price increases that are of a certain magnitude. But

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<v Speaker 1>it's pretty clear that the transparency has some effect. Having

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<v Speaker 1>to let health plans know in advance, um, which gives

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<v Speaker 1>them time to kind of push back, to react, and

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<v Speaker 1>then having all that sort of in the public sphere

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<v Speaker 1>clearly has an effect. And that's sort of um kind

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<v Speaker 1>of a blueprinted other states or potential the government can follow,

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<v Speaker 1>um if they actually want to have kind of a

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<v Speaker 1>a sustained impact as opposed to this kind of one time,

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<v Speaker 1>short duration sort of thing. Max. Has there been any

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<v Speaker 1>discussion about the way in which healthcare is delivered? I

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<v Speaker 1>don't mean drug prices, but the actual healthcare And the

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<v Speaker 1>reason I ask is because yesterday we had a segment

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<v Speaker 1>in which we focused on innovation in healthcare delivery having

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<v Speaker 1>to do with hospitals. For example, where some hospitals would

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<v Speaker 1>specialize in heart surgery, other hospitals would specialize in other

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<v Speaker 1>kinds of surgical procedures or services. Right now, you have

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<v Speaker 1>no idea how much they cost from hospital to hospital,

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<v Speaker 1>so every hospital ends up almost duplicating the services and

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<v Speaker 1>they compete with each other rather than delivering uh, what

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<v Speaker 1>would be called efficient healthcare. So I think the lack

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<v Speaker 1>of price transparency and the lack of UM really prices

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<v Speaker 1>and healthcare that are just available or interpretable to the

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<v Speaker 1>average consumer is really one of the most difficult things.

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<v Speaker 1>It's it's basically impossible to comparison shop UM with any

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<v Speaker 1>kind of like real pricing data or real data on

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<v Speaker 1>outcomes on quality UM. The the data is bad. Hospitals

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<v Speaker 1>usually for the most part, are interested in obfuscating that

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<v Speaker 1>data about what something costs and why, which is why

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<v Speaker 1>you hear about those bills where you have you know,

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<v Speaker 1>thous and dollar charges for for aspirin, for for minor

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<v Speaker 1>care UM just because you know they that's not the

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<v Speaker 1>real price the one they negotiate with your insurance, the

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<v Speaker 1>real price, but it's impossible to find the real price

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<v Speaker 1>and compare it. So yeah, it's a miserable situation. Well,

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<v Speaker 1>and and trying to to fix the entire healthcare system

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<v Speaker 1>is a heavy one and one that we could spend

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<v Speaker 1>hours on. Uh. There are some things that are going

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<v Speaker 1>on right now though with respect to Obamacare, which is

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<v Speaker 1>sort of heralded as a solution but has been uh

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<v Speaker 1>really kind of tried to at least the attempt has

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<v Speaker 1>been to try to pare it back in the recent

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<v Speaker 1>few years, and the latest events have to do with

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<v Speaker 1>reducing the payments to high risk pools as well as

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<v Speaker 1>President Trump cutting some of the grants that help consumers

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<v Speaker 1>get Obamacare. How significant are these developments in your view? Um,

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<v Speaker 1>You know, for the most part, it depends on particularly

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<v Speaker 1>the major one, which is the risk corridors or the sorry,

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<v Speaker 1>the risk adjustments. Basically that UM ensures that have the

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<v Speaker 1>sickest population UM they get paid back to a certain

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<v Speaker 1>extent by insurers that have a healthier population UM. It

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<v Speaker 1>helps them kind of stay in business and just adjust

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<v Speaker 1>and and make basically ensuring those sacre patients more viable. Um,

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<v Speaker 1>it's I bet like that it's likely that those payments

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<v Speaker 1>will resume at some point. It was due to kind

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<v Speaker 1>of just this weird, quirky New Mexico court case. But um,

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<v Speaker 1>and even though that's going on just today or last night,

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<v Speaker 1>rather we just got news that another insurer was expanding

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<v Speaker 1>in a couple of A markets. So even though things

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<v Speaker 1>are kind of still uncertain and and kind of prone

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<v Speaker 1>to shake up and and prone to what many would

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<v Speaker 1>call sabotage, um, there are still people interested in this market,

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<v Speaker 1>as opposed to years past where everyone's just kind of fleeing. Well,

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<v Speaker 1>but this is actually fascinating to me. And one thing

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<v Speaker 1>that I'm wondering. As insures expand in a c A

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<v Speaker 1>expand their Obamacare coverage, does that mean that people still

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<v Speaker 1>like this program? Does that mean that the program is

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<v Speaker 1>being made more lucrative for the health insurers? Um. I

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<v Speaker 1>think it's a little bit of both. The in the

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<v Speaker 1>sense that insurers are are a little bit more experienced

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<v Speaker 1>with what it takes to be profitable in this market,

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<v Speaker 1>even though it keeps changing and getting weird every year.

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<v Speaker 1>But um, as for the consumer experience, it's very much

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<v Speaker 1>bifurcated between people that get subsidies and people that don't. UM.

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<v Speaker 1>For someone who gets a subsidy, you can get relatively

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<v Speaker 1>affordable insurance without paying that much. But because of the

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<v Speaker 1>fact that the law has been sort of systematically undermined

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<v Speaker 1>um or at the very least not helped as in um.

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<v Speaker 1>You know, things that could be done to improve it

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<v Speaker 1>have have just not happened because of the administration Congress.

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<v Speaker 1>Um premiums have gone up for people that have just

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<v Speaker 1>aren't in that kind of income cut off the lots

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<v Speaker 1>some good subsidies, so it's it's really terrible for them,

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<v Speaker 1>but but still good for a good chunk of the market,

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<v Speaker 1>which is more than that to its subsidies. Max. You know,

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<v Speaker 1>one of the things that happens when you have the

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<v Speaker 1>healthcare reform debate is always here about the cost of

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<v Speaker 1>end of life care and how much that is outsized.

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<v Speaker 1>That turns out to not necessarily be so. I mean,

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<v Speaker 1>there's an estimate that between eleven to of total health

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<v Speaker 1>care spending is on that end of life time for patients.

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<v Speaker 1>Is is the focus should the focus then be on

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<v Speaker 1>chronic long term conditions? Is that really where the bulk

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<v Speaker 1>of the money goes. I mean, if if there's anywhere

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<v Speaker 1>that you can move the dial just sort of in

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<v Speaker 1>the largest possible population that requires, um the greatest amount

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<v Speaker 1>of healthcare spending over the longer term and has the

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<v Speaker 1>most benefit if you can kind of manage those conditions. Well, UM,

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<v Speaker 1>it's definitely that population. And for the most part, it's

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<v Speaker 1>something that's that's not done especially well unless you're lucky

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<v Speaker 1>enough to have UM, you know, series of healthcare providers

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<v Speaker 1>that are are really engaged or UM un employer that's

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<v Speaker 1>kind of actively engaging and managing those costs. Otherwise you

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<v Speaker 1>kind of just get left alone. And you know, it's, uh,

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<v Speaker 1>it's not easy without kind of expert advice and input

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<v Speaker 1>and monitoring and on all of that. And we're only

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<v Speaker 1>just starting to get better than that. And uh that

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<v Speaker 1>that's something where there's a lot of very for improvement.

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<v Speaker 1>Just real quick. I do want to note that the

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<v Speaker 1>SMP five Healthcare index has fallen nearly a percentage point

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<v Speaker 1>today and that this a lot of people are attributing

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<v Speaker 1>this to what happened with Visor. Do you expect President

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<v Speaker 1>Trump to take a similar tap with other pharmacy companies

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<v Speaker 1>in the near future. Um, you know, now now that

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<v Speaker 1>he's gotten the sense that if he gets uh gets

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<v Speaker 1>a CEO on on the phone and and uh jets

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<v Speaker 1>them a while, that they might actually do something, he

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<v Speaker 1>may very well give it, give it a shot again,

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<v Speaker 1>especially because you know we're we're in this is drug

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<v Speaker 1>price hike season middle of the year July one, so

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<v Speaker 1>there are a number of other kind of prominent firms

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<v Speaker 1>that have increased prices. He may give it a shot. Um,

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<v Speaker 1>you know I would have even if it happens, even

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<v Speaker 1>if the entire drug industry rolls back this round of

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<v Speaker 1>drug price increases. You have to keep in mind that

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<v Speaker 1>every single price hike that they've done for the past

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<v Speaker 1>decade is still there. So this is really uh, at

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<v Speaker 1>the end of the day. On the margins, Um, I'm

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<v Speaker 1>hopeful that some something more materialized, but you know, this

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<v Speaker 1>might stick shake stocks in the near term. I don't

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<v Speaker 1>think it's going to be a wait for the long term,

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<v Speaker 1>like a fig leaf, I guess you could describe it.

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<v Speaker 1>Thanks very much, Max Neeson, Bloomberg Opinion columnists for all

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<v Speaker 1>things related to healthcare. Of course, we appreciate your comments

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<v Speaker 1>and your thoughts. You can follow Max on Twitter at

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<v Speaker 1>Max Neeson. Our next guest is here in Reality. He

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<v Speaker 1>is budget art. He is the co founder and president

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<v Speaker 1>of hi A Technologies. They're based in Los Angeles. And

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<v Speaker 1>the reason why I say object that you are here

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<v Speaker 1>in reality is because you are focused on the world

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<v Speaker 1>of artificial intelligence and avatars and creating the software and

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<v Speaker 1>the platforms to actually have meaningful conversations with machines exactly.

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<v Speaker 1>This is a technology that has been used through the

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<v Speaker 1>the Institute of Creative Technologies at USC the un University

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<v Speaker 1>of Southern California and the West Coast, and it was

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<v Speaker 1>a military funded research. Forty million dollars went into it,

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<v Speaker 1>and um, we're the first ones to commercialize this outside

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<v Speaker 1>of the institute. They use it for military training and

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<v Speaker 1>avatar interacting with humans to to test out certain situations

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<v Speaker 1>with them and more specifically PTSD therapy Teumatic stress disorders therapy, right,

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<v Speaker 1>so UM veterans with PTSD. It turns out respond to

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<v Speaker 1>avatars much better in the in terms of opening up

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<v Speaker 1>and revealing more about themselves, feeling more comfortable, taking more

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<v Speaker 1>time to be interviewed than psychiatrists. So they had some

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<v Speaker 1>famous papers published on this and it's been a couple

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<v Speaker 1>of years, but now it's the technology has come to

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<v Speaker 1>a point that it's cloud based, you know, client server,

0:13:38.400 --> 0:13:42.320
<v Speaker 1>it's very easily transported to mobile devices, et cetera. So

0:13:42.440 --> 0:13:45.280
<v Speaker 1>we decided to commercialize it. We have an exclusive license

0:13:45.320 --> 0:13:49.679
<v Speaker 1>from USC and we're going to use it for HR

0:13:49.800 --> 0:13:55.440
<v Speaker 1>and specifically in recruiting. We will conduct pre screening interviews

0:13:55.520 --> 0:13:59.679
<v Speaker 1>for companies that hire large numbers of people and find

0:13:59.679 --> 0:14:03.920
<v Speaker 1>itficult to do a good job in screening candidates and

0:14:03.960 --> 0:14:07.160
<v Speaker 1>finding the right kind of people. Can we just talk

0:14:07.200 --> 0:14:11.559
<v Speaker 1>a little bit about the concept of replicating a conversation

0:14:12.080 --> 0:14:15.880
<v Speaker 1>in real time with a computer, Because when you have Alexa,

0:14:15.920 --> 0:14:18.959
<v Speaker 1>for example, and you ask her a question, so give

0:14:19.000 --> 0:14:22.320
<v Speaker 1>you a response based on an Internet search, but it's

0:14:22.320 --> 0:14:25.960
<v Speaker 1>not carrying on a conversation. So how how does that work?

0:14:26.040 --> 0:14:29.320
<v Speaker 1>Is that? Is that incredibly complicated to make happen? It

0:14:29.400 --> 0:14:32.960
<v Speaker 1>is complicated, and it starts out with a lot of

0:14:33.600 --> 0:14:38.720
<v Speaker 1>manual work. You have to script these conversations. But the

0:14:38.760 --> 0:14:42.640
<v Speaker 1>magical thing behind it is the machine learning. It learns

0:14:42.960 --> 0:14:45.800
<v Speaker 1>from its experiences and then it gets better and better

0:14:45.840 --> 0:14:48.920
<v Speaker 1>over time. It gets better much quicker than humans get

0:14:48.920 --> 0:14:53.360
<v Speaker 1>better in anything. So um, yes, it is complex, but UM,

0:14:53.480 --> 0:14:56.280
<v Speaker 1>you know you you you have to start with a

0:14:56.360 --> 0:15:01.360
<v Speaker 1>base product. For example, UM, in interviewing, we have these

0:15:01.720 --> 0:15:05.720
<v Speaker 1>job modules. It's a question and answer module. So for

0:15:05.840 --> 0:15:09.400
<v Speaker 1>a junior accountant position, there is a set of twenty

0:15:09.840 --> 0:15:14.119
<v Speaker 1>questions that the company has decided to ask their potential employees.

0:15:14.920 --> 0:15:20.440
<v Speaker 1>And uh, these are crafted by combination of our experts

0:15:20.440 --> 0:15:24.840
<v Speaker 1>that we found and they're specific questions. So the questions

0:15:24.840 --> 0:15:28.120
<v Speaker 1>are listed and then there's buckets of answers for each question.

0:15:28.920 --> 0:15:31.080
<v Speaker 1>What we do is we listen to the answer. We

0:15:31.160 --> 0:15:36.640
<v Speaker 1>assign what we heard to a particular bucket. Okay, can

0:15:36.760 --> 0:15:42.520
<v Speaker 1>can avatars be funny? Yes? So there's an algorithm for

0:15:42.520 --> 0:15:47.240
<v Speaker 1>for humor. Yes, And you have to understand we have

0:15:47.320 --> 0:15:50.600
<v Speaker 1>to be very careful in applying that to situations like this.

0:15:50.720 --> 0:15:54.520
<v Speaker 1>So we have actually tested that you know, uh, people

0:15:54.960 --> 0:15:57.280
<v Speaker 1>UM do not take it lightly. And this is this

0:15:57.360 --> 0:16:02.280
<v Speaker 1>happened in Syrie and Alexa as well. UM, the majority

0:16:02.320 --> 0:16:06.840
<v Speaker 1>of the people do not think it's funny enough, or

0:16:07.120 --> 0:16:11.640
<v Speaker 1>it's it's it's it's appropriate. So what we decided to do,

0:16:11.960 --> 0:16:15.520
<v Speaker 1>literally in this particular case, since it's a an enterprise

0:16:15.520 --> 0:16:18.320
<v Speaker 1>sale for us, we decided to stay on the safe

0:16:18.320 --> 0:16:21.160
<v Speaker 1>side and not quite go there, and we just go

0:16:21.560 --> 0:16:24.840
<v Speaker 1>very polite and very curious, and we just we just

0:16:25.040 --> 0:16:28.960
<v Speaker 1>don't go there. But it's definitely possible. Tell us a

0:16:29.000 --> 0:16:31.120
<v Speaker 1>little bit about how you got involved in this, because

0:16:31.160 --> 0:16:36.480
<v Speaker 1>you have a wide ranging career in technology in Silicon Valley. Uh,

0:16:36.520 --> 0:16:41.640
<v Speaker 1>Fabricate Labs for example of micro Fabrica is another one

0:16:41.680 --> 0:16:45.800
<v Speaker 1>of the companies. I believe that you were uh involved

0:16:45.800 --> 0:16:50.440
<v Speaker 1>with your You seem to have this sort of perspective

0:16:50.440 --> 0:16:55.960
<v Speaker 1>of turning what is sort of almost mundane thing, you know,

0:16:56.040 --> 0:17:00.360
<v Speaker 1>concepts into something uh precious and and and you know

0:17:00.440 --> 0:17:05.520
<v Speaker 1>driven by technology. Yeah. Um, you know, pioneering brand new

0:17:05.600 --> 0:17:11.960
<v Speaker 1>ideas um is my passion and uh that is a

0:17:12.040 --> 0:17:15.560
<v Speaker 1>pattern in my background to some of those ideas. Some

0:17:15.600 --> 0:17:18.679
<v Speaker 1>of the pioneering efforts have not been that successful, but

0:17:19.200 --> 0:17:23.439
<v Speaker 1>it is what I like and changing paradigms, changing the

0:17:23.480 --> 0:17:27.560
<v Speaker 1>way things are done today, um, disrupting the way things

0:17:27.600 --> 0:17:31.439
<v Speaker 1>are done today, especially when it comes to making people

0:17:31.520 --> 0:17:36.760
<v Speaker 1>more productive, um, and making people more accurate in the

0:17:36.760 --> 0:17:39.840
<v Speaker 1>way they do things. Well what we do for example,

0:17:39.960 --> 0:17:43.520
<v Speaker 1>let me say analogy is an Excel sheet. You know, Uh,

0:17:43.640 --> 0:17:48.919
<v Speaker 1>we didn't Excel sheet did not dislodge accountants from their jobs.

0:17:49.440 --> 0:17:51.919
<v Speaker 1>It's a tool and it doesn't you know, much like

0:17:52.000 --> 0:17:56.200
<v Speaker 1>Ai is Budget. I could spend the next hour speaking

0:17:56.200 --> 0:17:58.480
<v Speaker 1>with you, probably more. Thank you so much for being here.

0:17:58.600 --> 0:18:00.280
<v Speaker 1>It was really great having you A have to have

0:18:00.320 --> 0:18:03.200
<v Speaker 1>you back. Budget A rat is co founder and president

0:18:03.240 --> 0:18:07.240
<v Speaker 1>of hi A Technologies in Los Angeles, creating technology that

0:18:07.280 --> 0:18:26.960
<v Speaker 1>will soon replace me. When we talk about trade skirmishes

0:18:27.000 --> 0:18:30.000
<v Speaker 1>between China and the US, many are quick to point

0:18:30.000 --> 0:18:33.520
<v Speaker 1>out that China's imports from the US aren't large enough

0:18:33.560 --> 0:18:37.280
<v Speaker 1>to match Trump's tariffs taller for dollar, meaning that they're

0:18:37.400 --> 0:18:41.359
<v Speaker 1>unable to hit back really with the same force that

0:18:41.400 --> 0:18:44.800
<v Speaker 1>the U s is. But is that true? Joining us now,

0:18:44.880 --> 0:18:49.200
<v Speaker 1>Carl Weinberg, He's chief economist high Frequency Economics in New York. Carl,

0:18:49.480 --> 0:18:51.760
<v Speaker 1>thank you so much for being here. So let's just

0:18:51.840 --> 0:18:54.320
<v Speaker 1>start there. I mean, is it true that China really

0:18:54.359 --> 0:18:57.000
<v Speaker 1>can't hit back dollar for dollar just due to the

0:18:57.040 --> 0:19:00.600
<v Speaker 1>fact that isn't import enough from the US. High Lisa,

0:19:00.640 --> 0:19:03.280
<v Speaker 1>good morning, Thanks for having me on your program. Um,

0:19:03.359 --> 0:19:05.199
<v Speaker 1>China has a lot of weapons that can use that

0:19:05.280 --> 0:19:08.680
<v Speaker 1>aren't strictly tariffs that could be engaged in the trade war.

0:19:09.320 --> 0:19:12.439
<v Speaker 1>The most likely that we are that we are prone

0:19:12.480 --> 0:19:15.439
<v Speaker 1>to see and perhaps have already started to see, are

0:19:15.480 --> 0:19:19.280
<v Speaker 1>just boycotts against American branded goods. Um. You know, US

0:19:19.320 --> 0:19:23.040
<v Speaker 1>automobile makers reported drop in sales in May of U

0:19:23.240 --> 0:19:26.840
<v Speaker 1>S branded vehicles. That we've seen the Chinese do this before,

0:19:26.960 --> 0:19:30.960
<v Speaker 1>boycotting brands from Japan and South Korea when tensions have

0:19:31.320 --> 0:19:35.439
<v Speaker 1>risen on the political front against those nations. UM. The

0:19:35.520 --> 0:19:39.000
<v Speaker 1>US companies have about a hundred billion dollars of direct

0:19:39.080 --> 0:19:44.240
<v Speaker 1>investment in in China in projects to make goods for

0:19:44.440 --> 0:19:47.800
<v Speaker 1>Chinese consumers in China, and every one of those companies

0:19:47.840 --> 0:19:50.240
<v Speaker 1>is vulnerable. And there's some of our biggest corporate names,

0:19:50.920 --> 0:19:54.800
<v Speaker 1>Carl Weinberg as an example. BMW says it will build

0:19:54.880 --> 0:19:59.200
<v Speaker 1>more of its SUVs overseas and not in South Carolina

0:19:59.720 --> 0:20:04.399
<v Speaker 1>be because of China's retaliation in the auto industry. Do

0:20:04.440 --> 0:20:07.560
<v Speaker 1>you believe that? Sorry, go ahead exactly, Tim, And we

0:20:07.880 --> 0:20:11.680
<v Speaker 1>just reported on Bloomberg the story yesterday of Tesla promising

0:20:11.720 --> 0:20:13.720
<v Speaker 1>to build a plant there to build half a million

0:20:13.800 --> 0:20:16.520
<v Speaker 1>vehicles per year in China. We don't know how real

0:20:16.600 --> 0:20:19.120
<v Speaker 1>that is, but the intention is certainly real. And if

0:20:19.160 --> 0:20:22.880
<v Speaker 1>Tesla can do it, others can do it GM right now.

0:20:22.880 --> 0:20:25.080
<v Speaker 1>According to an article I read on Bloomberg a few

0:20:25.080 --> 0:20:28.920
<v Speaker 1>weeks ago, produces more cars in China under ten joint

0:20:29.000 --> 0:20:31.600
<v Speaker 1>ventures and two direct investments than it does in the

0:20:31.640 --> 0:20:35.280
<v Speaker 1>United States. So big companies are vulnerable, and some companies

0:20:35.560 --> 0:20:38.280
<v Speaker 1>get a great proportion of their profit, does not most

0:20:38.280 --> 0:20:42.120
<v Speaker 1>of them from transactions in China. So, Carl, how much

0:20:42.119 --> 0:20:44.679
<v Speaker 1>of this is being priced in that China will retaliate

0:20:44.920 --> 0:20:47.560
<v Speaker 1>in the manner that you say, with sort of boycotting

0:20:47.680 --> 0:20:52.320
<v Speaker 1>or discriminating against US companies they're doing business in China. Lisa,

0:20:52.359 --> 0:20:54.120
<v Speaker 1>I wish I could give you an answer to that.

0:20:54.160 --> 0:20:56.880
<v Speaker 1>There's no way to know. We've never really seen anything

0:20:56.920 --> 0:21:00.000
<v Speaker 1>like this before. The only prior that we can point

0:21:00.080 --> 0:21:03.280
<v Speaker 1>two is that when China has engaged in a spat

0:21:03.359 --> 0:21:07.679
<v Speaker 1>with Japan, Japanese brands were boycotted. When they engaged in

0:21:07.720 --> 0:21:11.119
<v Speaker 1>a spat with Korea, Korean brands were boycotted. And this

0:21:11.160 --> 0:21:15.960
<v Speaker 1>can be a very very effective counter tool in any case.

0:21:16.400 --> 0:21:18.919
<v Speaker 1>You know the name of the game here. The objective

0:21:19.080 --> 0:21:21.800
<v Speaker 1>of the Trump tariffs is to try to short circuit

0:21:21.880 --> 0:21:26.080
<v Speaker 1>China's Made in China program, and that's worth about a

0:21:26.119 --> 0:21:29.520
<v Speaker 1>trillion dollars a year to China's economy forever once they

0:21:29.600 --> 0:21:32.680
<v Speaker 1>succeeded it, and I think they will. And whatever pain

0:21:32.800 --> 0:21:35.680
<v Speaker 1>that China feels on tariffs and on this trade war

0:21:36.040 --> 0:21:40.199
<v Speaker 1>is peanuts compared to the potential gains from China, all right,

0:21:40.320 --> 0:21:42.880
<v Speaker 1>So that is one way that China could hit back

0:21:43.160 --> 0:21:45.480
<v Speaker 1>is through some of the measures that could take against

0:21:45.520 --> 0:21:48.000
<v Speaker 1>US companies. What about its treasury holdings, I mean, do

0:21:48.040 --> 0:21:50.320
<v Speaker 1>you expect that that to be on the table with

0:21:50.400 --> 0:21:55.280
<v Speaker 1>China potentially liquidating it's holdings. Well, there's a risk of

0:21:55.359 --> 0:21:58.639
<v Speaker 1>that at any time that China could decide to let go.

0:21:58.720 --> 0:22:01.800
<v Speaker 1>Of course, they do have their own capital invested in

0:22:01.840 --> 0:22:05.320
<v Speaker 1>those bonds, so that if they undermine the market, they

0:22:05.359 --> 0:22:08.399
<v Speaker 1>do undermine the present value of their portfolio. But if

0:22:08.400 --> 0:22:14.040
<v Speaker 1>they're planning on holding to maturity, then they can finesse

0:22:14.119 --> 0:22:17.879
<v Speaker 1>the capital losses and they can probably make a profit

0:22:17.920 --> 0:22:20.040
<v Speaker 1>on the bonds that they sell. So I would say

0:22:20.080 --> 0:22:23.200
<v Speaker 1>that there is a risk, but I would say it's

0:22:23.200 --> 0:22:27.000
<v Speaker 1>a tail risk right now, mainly because China sees itself

0:22:27.000 --> 0:22:30.879
<v Speaker 1>as a world player and its future is involved in globalism,

0:22:31.200 --> 0:22:33.720
<v Speaker 1>and to undermine the U S Treasury market would undermine

0:22:33.760 --> 0:22:37.240
<v Speaker 1>the world economy, and that's not in China's interest. It

0:22:37.280 --> 0:22:41.240
<v Speaker 1>has more focused tools at its disposal that it can use.

0:22:42.119 --> 0:22:47.240
<v Speaker 1>Carl or about using currency as a weapon in this war, Well,

0:22:47.480 --> 0:22:49.919
<v Speaker 1>it would seem, you know almost that they are. You know,

0:22:50.000 --> 0:22:53.560
<v Speaker 1>we see the yuan getting cheaper, and um, you know

0:22:53.680 --> 0:22:56.679
<v Speaker 1>that certainly is one way to offset the impact of tariffs.

0:22:57.160 --> 0:23:00.800
<v Speaker 1>The thing is they don't really have to go that route.

0:23:01.280 --> 0:23:04.520
<v Speaker 1>I'm writing tonight from our customers at High Frequency Economics,

0:23:04.560 --> 0:23:08.359
<v Speaker 1>where our readers hear a story about trade diversion and

0:23:08.400 --> 0:23:14.159
<v Speaker 1>alternative sources for goods, and um, China can can really

0:23:14.560 --> 0:23:17.720
<v Speaker 1>escape through this tariff war with very little effect on

0:23:17.800 --> 0:23:21.480
<v Speaker 1>its domestic economy. Um, the losses that they would face

0:23:21.520 --> 0:23:24.439
<v Speaker 1>on sales to the US would be minimal, and the

0:23:24.480 --> 0:23:27.080
<v Speaker 1>impact on their consumers of the tariffs the US is

0:23:27.119 --> 0:23:30.880
<v Speaker 1>proposing would be I think negligible. Thank you very much

0:23:30.920 --> 0:23:33.320
<v Speaker 1>for spending time with us. Carl Weinberg is the chief

0:23:33.320 --> 0:23:38.280
<v Speaker 1>economist for High Frequency Economics. You can follow Carl on

0:23:38.280 --> 0:23:43.800
<v Speaker 1>Twitter at c B Weinberg. The topic tariffs and President

0:23:43.840 --> 0:24:04.760
<v Speaker 1>Donald Trump's trade war and retaliation from China. Fake accounts, Yes,

0:24:04.840 --> 0:24:08.400
<v Speaker 1>fake accounts at Twitter, potentially fake accounts at Facebook, fake

0:24:08.440 --> 0:24:12.760
<v Speaker 1>accounts almost everywhere. Here to tell us more about social

0:24:12.800 --> 0:24:16.359
<v Speaker 1>media and advertising is David Garrity. He is the chief

0:24:16.359 --> 0:24:19.679
<v Speaker 1>executive of g v A Research and you can of

0:24:19.720 --> 0:24:22.879
<v Speaker 1>course follow David as we do on Twitter at a

0:24:22.960 --> 0:24:26.280
<v Speaker 1>g v A Research. David always a pleasure, Thanks for

0:24:26.359 --> 0:24:30.920
<v Speaker 1>coming into the studio. Uh, you're not a fake account.

0:24:31.400 --> 0:24:34.160
<v Speaker 1>But how do we know that there isn't someone out

0:24:34.160 --> 0:24:39.840
<v Speaker 1>there on social media impersonating David Garrity? Um, apart from

0:24:39.880 --> 0:24:42.200
<v Speaker 1>the fact of you know, my own activity and those

0:24:42.200 --> 0:24:45.600
<v Speaker 1>of people who basically host my social media activities, you know,

0:24:45.600 --> 0:24:48.440
<v Speaker 1>trying to make sure that nobody's out there squatting. Uh.

0:24:48.480 --> 0:24:51.920
<v Speaker 1>So there's a certain amount of self policing that takes place.

0:24:51.960 --> 0:24:55.840
<v Speaker 1>But clearly we have a circumstance here with social media platforms,

0:24:56.160 --> 0:24:59.679
<v Speaker 1>you know, not necessarily subscribing to the good business practices

0:25:00.440 --> 0:25:05.199
<v Speaker 1>you know, traditional um news organizations and or other technology

0:25:05.240 --> 0:25:09.880
<v Speaker 1>companies had subscribed to in terms of verifying users identities. Clearly,

0:25:10.119 --> 0:25:12.920
<v Speaker 1>you know, we're seeing a belated response on the part

0:25:12.920 --> 0:25:15.440
<v Speaker 1>of Twitter to suddenly go out and purge one out

0:25:15.440 --> 0:25:18.159
<v Speaker 1>of every five of their user accounts. As at the

0:25:18.240 --> 0:25:20.639
<v Speaker 1>end of March, I mean, the number of seventy million

0:25:20.720 --> 0:25:23.399
<v Speaker 1>was somewhat staggering, especially when you consider that they have

0:25:23.760 --> 0:25:27.480
<v Speaker 1>seventy million users in the US alone. Now, clearly we

0:25:27.520 --> 0:25:30.320
<v Speaker 1>don't know what the geographic you know, dispersion was or

0:25:30.359 --> 0:25:33.360
<v Speaker 1>distribution was of these seventy million accounts that were being

0:25:33.400 --> 0:25:36.000
<v Speaker 1>acted by Twitter, but it would be very interesting to

0:25:36.040 --> 0:25:39.480
<v Speaker 1>go through and see, you know, these accounts, what kind

0:25:39.520 --> 0:25:42.879
<v Speaker 1>of social positions into or political positions were they espousing

0:25:43.080 --> 0:25:46.000
<v Speaker 1>to what extent was that basically a very clear measure

0:25:46.040 --> 0:25:50.560
<v Speaker 1>of manipulation of public opinion through Twitter, you know, And

0:25:50.680 --> 0:25:53.280
<v Speaker 1>the question really is begged here if this is what

0:25:53.320 --> 0:25:56.000
<v Speaker 1>they've done, now, what are they going to be going

0:25:56.040 --> 0:25:59.560
<v Speaker 1>to do on an ongoing basis? What's Facebook going to

0:25:59.600 --> 0:26:02.720
<v Speaker 1>be doing? You know, do we have a consensus potentially

0:26:03.119 --> 0:26:06.280
<v Speaker 1>in Congress, or do we have a consensus overseas, say

0:26:06.320 --> 0:26:10.040
<v Speaker 1>within the EU to make sure that these practices are

0:26:10.080 --> 0:26:12.520
<v Speaker 1>being that the bars being raised. So what I'm trying

0:26:12.560 --> 0:26:16.679
<v Speaker 1>to understand is also what are the consequences consequences from

0:26:16.680 --> 0:26:20.400
<v Speaker 1>a corporate standpoint of some of these social media companies

0:26:20.440 --> 0:26:22.639
<v Speaker 1>actually taking action? I mean, Twitter, yes, we know that

0:26:22.680 --> 0:26:25.520
<v Speaker 1>they're going to be culling about one fifth of all

0:26:25.520 --> 0:26:29.760
<v Speaker 1>of their active monthly users calling them fake bots are

0:26:29.800 --> 0:26:34.840
<v Speaker 1>impersonating uh impersonating identities, but their shares are still up

0:26:34.840 --> 0:26:37.840
<v Speaker 1>more than this here. No, I mean, certainly one could

0:26:37.840 --> 0:26:39.600
<v Speaker 1>say on the flip side that they're gonna be able

0:26:39.640 --> 0:26:42.240
<v Speaker 1>to come back to advertisers and say, look, okay, we've

0:26:42.240 --> 0:26:44.959
<v Speaker 1>gone through, we've vetted our accounts. You're really dealing with

0:26:45.040 --> 0:26:48.080
<v Speaker 1>real people here, and from that standpoint, we can justify

0:26:48.160 --> 0:26:50.760
<v Speaker 1>our ad rates. And you know, we've we've you know,

0:26:50.880 --> 0:26:53.879
<v Speaker 1>come to the altar, we've confessed our sins, you know,

0:26:54.000 --> 0:26:57.240
<v Speaker 1>absolve us and let us go forward. And the question

0:26:57.240 --> 0:26:59.480
<v Speaker 1>really boils down to, from a social and from a

0:26:59.480 --> 0:27:03.200
<v Speaker 1>policy endpoint, is that good enough? My view would be no,

0:27:03.480 --> 0:27:06.800
<v Speaker 1>because you know, what happened once clearly could happen again.

0:27:07.280 --> 0:27:09.440
<v Speaker 1>I think that this might be an interesting opportunity to

0:27:09.480 --> 0:27:14.359
<v Speaker 1>apply it a new technology, say blockchain, to verify user

0:27:14.440 --> 0:27:17.840
<v Speaker 1>identity when it counts are opened, and also to update

0:27:17.920 --> 0:27:20.960
<v Speaker 1>that record as new posts are being added. Hold on

0:27:21.040 --> 0:27:23.280
<v Speaker 1>a second, I'm sorry, because people use blockchain and a

0:27:23.280 --> 0:27:25.359
<v Speaker 1>lot of liberal ways and and they're sort of almost

0:27:25.359 --> 0:27:27.240
<v Speaker 1>a joke in the newsroom that you know, if you

0:27:27.280 --> 0:27:29.399
<v Speaker 1>have a problem, Just say blockchain and it will go away.

0:27:29.800 --> 0:27:31.880
<v Speaker 1>Are you basically saying that everybody should have a digital

0:27:31.880 --> 0:27:35.879
<v Speaker 1>fingerprint and that basically is used to sort of peg

0:27:35.920 --> 0:27:38.760
<v Speaker 1>their social media presences? In reality? Is that that type

0:27:38.760 --> 0:27:41.240
<v Speaker 1>of thing and that the blockchain technology will be used

0:27:41.240 --> 0:27:43.879
<v Speaker 1>to give everyone that digital fingerprint? Or is it? My

0:27:43.960 --> 0:27:46.280
<v Speaker 1>concept here would be say that for Twitter themselves, they

0:27:46.320 --> 0:27:49.680
<v Speaker 1>could develop a utility token, which, you know, in which

0:27:49.840 --> 0:27:53.560
<v Speaker 1>users would have to employ in order to access their platform.

0:27:53.720 --> 0:27:55.520
<v Speaker 1>You know, if what Twitter wants to be able to

0:27:55.560 --> 0:28:00.600
<v Speaker 1>put forward, absent the imposition of regulation and oversaw, if

0:28:00.600 --> 0:28:03.480
<v Speaker 1>they wanted to adopt a solution that might allow a

0:28:03.560 --> 0:28:08.600
<v Speaker 1>better tracking and verification, um, you know, around what activities

0:28:08.600 --> 0:28:11.200
<v Speaker 1>are taking place on their site. Blockchain in this case

0:28:11.320 --> 0:28:15.439
<v Speaker 1>actually is something of possible application and value. And I

0:28:15.480 --> 0:28:17.879
<v Speaker 1>think it's something where you would have a distributed network

0:28:17.880 --> 0:28:20.639
<v Speaker 1>because you have many people, many parties, who are actually

0:28:20.840 --> 0:28:25.119
<v Speaker 1>interested in establishing and confirming and upholding the veracity of

0:28:25.200 --> 0:28:28.040
<v Speaker 1>what's going across social media platforms. You know, this is

0:28:28.119 --> 0:28:33.520
<v Speaker 1>possible for Twitter to consider a blockchain application. David Garty,

0:28:33.840 --> 0:28:35.639
<v Speaker 1>I just want to bring in the concept of a

0:28:35.720 --> 0:28:40.400
<v Speaker 1>middleman or middle person, right, and I understand that blockchain

0:28:40.880 --> 0:28:44.920
<v Speaker 1>and bitcoin and a lot of cryptocurrencies, why we sometimes

0:28:45.040 --> 0:28:49.040
<v Speaker 1>shouldn't conflate them. It is the goal to get rid

0:28:49.080 --> 0:28:53.600
<v Speaker 1>of the costs, the friction cost that exists in the

0:28:53.640 --> 0:28:58.400
<v Speaker 1>middle of transactions. Would that be accurate? No, entirely, okay,

0:28:58.440 --> 0:29:01.360
<v Speaker 1>And until such time as we actually have technologies developed

0:29:01.360 --> 0:29:05.440
<v Speaker 1>to support blockchain applications that have faster transaction times and

0:29:05.440 --> 0:29:09.720
<v Speaker 1>lower transaction costs than existing centralized providers, you know, those

0:29:09.760 --> 0:29:13.560
<v Speaker 1>are obstacles to blockchain adoption long term. Okay, let me

0:29:13.640 --> 0:29:16.120
<v Speaker 1>just see if I can strike a blow for the

0:29:16.160 --> 0:29:19.920
<v Speaker 1>middle person. You know, in the world of book selling,

0:29:20.520 --> 0:29:23.360
<v Speaker 1>they used to be this concept that a publisher would

0:29:23.360 --> 0:29:26.760
<v Speaker 1>ship a certain amount of books to a retail establishment.

0:29:27.440 --> 0:29:31.440
<v Speaker 1>What the retail establishment didn't sell, they were allowed and

0:29:31.520 --> 0:29:36.680
<v Speaker 1>then send back to the bookseller to the publisher. In

0:29:36.720 --> 0:29:41.520
<v Speaker 1>another model, the book publisher sent books to the retailer

0:29:42.040 --> 0:29:45.280
<v Speaker 1>and they didn't take anything back. When the New York

0:29:45.320 --> 0:29:49.000
<v Speaker 1>Times went to look at best seller lists, they decided

0:29:49.080 --> 0:29:52.040
<v Speaker 1>that it was more important to look at those organizations

0:29:52.080 --> 0:29:56.920
<v Speaker 1>that could send the books back that were unsold, because

0:29:57.240 --> 0:30:02.000
<v Speaker 1>they had no reason to fake the results. You had

0:30:02.120 --> 0:30:04.880
<v Speaker 1>retailers who were faking results by saying, oh yeah, this

0:30:04.960 --> 0:30:08.600
<v Speaker 1>was a best seller and it became a self fulfilling prophecy.

0:30:08.680 --> 0:30:12.000
<v Speaker 1>So I'm wondering who would that middle person be in

0:30:12.040 --> 0:30:15.760
<v Speaker 1>these kinds of transactions. In the middle person in case

0:30:15.800 --> 0:30:19.200
<v Speaker 1>of this example might very well be a consortium that

0:30:19.240 --> 0:30:22.239
<v Speaker 1>would be formed between the publishers and those retailers who

0:30:22.280 --> 0:30:26.840
<v Speaker 1>would agree to participate. Um, you know, arguably, assuming that

0:30:26.880 --> 0:30:30.240
<v Speaker 1>there is you know, frictionless application, you know, low cost

0:30:30.360 --> 0:30:33.320
<v Speaker 1>or transactions or loss for processing, you know, you could

0:30:33.320 --> 0:30:38.320
<v Speaker 1>potentially apply a blockchain tracker to each book that was

0:30:38.360 --> 0:30:40.720
<v Speaker 1>going out and being sold, and then you could use

0:30:40.760 --> 0:30:45.040
<v Speaker 1>you know, barcode readers that potentially update the related block

0:30:45.120 --> 0:30:49.280
<v Speaker 1>chains and the distributed nodes that would be supporting the application.

0:30:49.360 --> 0:30:52.320
<v Speaker 1>This blockchain would be operated by the consortium of these

0:30:52.360 --> 0:30:57.960
<v Speaker 1>different organizations. Would that work for social media as well? Well? Potentially, yes,

0:30:58.240 --> 0:31:00.200
<v Speaker 1>I think in the case here looking at it, or

0:31:00.200 --> 0:31:02.360
<v Speaker 1>if one of the problems that we have is the

0:31:02.560 --> 0:31:06.640
<v Speaker 1>ease with which these fake accounts can be opened. Impersonating myself,

0:31:06.680 --> 0:31:11.640
<v Speaker 1>for impersonating you are God forbid impersonating Lisa exactly. But

0:31:11.760 --> 0:31:15.280
<v Speaker 1>Lisa Brahma wits one. By the way, precisely, not too

0:31:15.360 --> 0:31:19.520
<v Speaker 1>three or four exactly. But um, from that standpoint, you know,

0:31:20.080 --> 0:31:23.360
<v Speaker 1>if we can find the platform that technology can be

0:31:23.480 --> 0:31:26.640
<v Speaker 1>used to help to enable this kind of verification of

0:31:26.720 --> 0:31:30.640
<v Speaker 1>identity and veracity of content. Arguably, given all that we

0:31:30.680 --> 0:31:33.720
<v Speaker 1>have suffered, if you will, as a society because of

0:31:33.760 --> 0:31:37.600
<v Speaker 1>the manipulation of social media, we would all benefit. David Garrity,

0:31:38.200 --> 0:31:41.640
<v Speaker 1>the one and only, the non impersonatable David Garritty, the

0:31:41.720 --> 0:31:44.959
<v Speaker 1>chief executive of g v A Research here in our

0:31:45.000 --> 0:31:52.920
<v Speaker 1>eleven three oh studios. Thank you so much. Thanks for

0:31:53.000 --> 0:31:55.640
<v Speaker 1>listening to the Bloomberg P and L podcast. You can

0:31:55.680 --> 0:31:59.480
<v Speaker 1>subscribe and listen to interviews at Apple Podcasts, SoundCloud, or

0:31:59.520 --> 0:32:03.000
<v Speaker 1>whatever podcast platform you prefer. I'm pim Fox. I'm on

0:32:03.040 --> 0:32:06.920
<v Speaker 1>Twitter at pim Fox. I'm on Twitter at Lisa Abramo

0:32:06.920 --> 0:32:09.640
<v Speaker 1>wits one. Before the podcast, you can always catch us

0:32:09.680 --> 0:32:11.240
<v Speaker 1>worldwide on Bloomberg Radio.