WEBVTT - 'Astonishing' Astra Vaccine Reduces Asymptomatic Cases

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along

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<v Speaker 1>with my co host of Bonnie Quinn. Every business day

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<v Speaker 1>we bring you interviews from CEOs, market pros, and Bloomberg experts,

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<v Speaker 1>along with essential market moving news. Kind of Bloomberg Markets

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<v Speaker 1>Podcast on Apple podcast or wherever you listen to podcasts,

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<v Speaker 1>and on Bloomberg dot com. We have some breaking vaccine news.

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<v Speaker 1>The Astro Oxford vaccine efficacy has been confirmed now in

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<v Speaker 1>peer reviewed data. Apparently the Astro Oxford vaccine prevents the

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<v Speaker 1>worst COVID symptoms in this particular study. It's effective, but

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<v Speaker 1>it does leave questions in older ages. This is all

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<v Speaker 1>according to a peer review study at ten hospitalization cases

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<v Speaker 1>seen in the trial. All occurred among those given a placebo.

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<v Speaker 1>Let's bring in somebody who knows a little bit more

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<v Speaker 1>about the background to this particular vaccine and has been

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<v Speaker 1>looking at the results and is looking at these headlines

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<v Speaker 1>as they come out. Now. Michelle Court has Health science

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<v Speaker 1>and medical technology reporter for Bloomberg. So Michelle, this is good,

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<v Speaker 1>but rossively speaking, is it as good as the other

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<v Speaker 1>vaccine news we've been hearing? You know, Vanni is a

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<v Speaker 1>great question, and it actually is not appearing to be

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<v Speaker 1>as effective as the Visor and Maderna trials. That being said,

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<v Speaker 1>there was a little bit of a hiccup with this trial.

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<v Speaker 1>In fact, there were there were a couple which is

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<v Speaker 1>really to be expected given the pace of development here.

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<v Speaker 1>They originally were only going to be using one dose

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<v Speaker 1>of the vaccine. Then they realized it would be more

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<v Speaker 1>effective if they did too, so they added that second

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<v Speaker 1>dose in later. And of course there was an issue

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<v Speaker 1>where some of the patients or some of the volunteers

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<v Speaker 1>in the trial got actually half of the dose in

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<v Speaker 1>that first injection than they were expected to get, and

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<v Speaker 1>that unexpectedly turned out to be much more effective vaccination

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<v Speaker 1>efficacy rate with that smaller first dose with only a

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<v Speaker 1>you know, six efficacy race in the people who got

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<v Speaker 1>both full doses. So that's unexpected. They're going to have

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<v Speaker 1>to be more research here. So Michelle, kind of have

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<v Speaker 1>we got anywhere clarity on that, uh, you know, that

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<v Speaker 1>half dose issue that we learned about a couple of

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<v Speaker 1>weeks ago that seemed to surprise a lot of people

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<v Speaker 1>in the community, right, it is inexplicable. I mean, we

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<v Speaker 1>do know that the people who got that half does

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<v Speaker 1>were actually a younger group of patients, and so they

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<v Speaker 1>are less likely to get severe disease, they're less likely

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<v Speaker 1>to become infected. So there could be some explanation that

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<v Speaker 1>happening there, but indeed we don't exactly know what's going

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<v Speaker 1>on here. The company has said that they do plan

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<v Speaker 1>to do another trial to look at this specific effect.

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<v Speaker 1>That should not take as long to do because you're

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<v Speaker 1>just looking at how the body responds to the vaccine,

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<v Speaker 1>so we should be able to get through that pretty quickly.

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<v Speaker 1>But even when you're looking at the higher efficuity rates,

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<v Speaker 1>it's not quite reaching than levels that we're seeing with

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<v Speaker 1>sisor in the journal. It does appear that less is

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<v Speaker 1>more in this case, but that may not be the

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<v Speaker 1>full story. What does Astra do next? I mean, is

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<v Speaker 1>this good enough data to release the vaccine into the

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<v Speaker 1>wild as Fiser has already done, or do they have

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<v Speaker 1>to do more well. They have said that they're going

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<v Speaker 1>to be doing more as well, and of course the

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<v Speaker 1>fact is is that we're not going to have enough

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<v Speaker 1>vaccine to protect the entire world for some time to come.

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<v Speaker 1>So when you're looking at an epicacy rate with this

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<v Speaker 1>lower first dose, I mean that is still extraordinary. It

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<v Speaker 1>is absolutely unbelievable that they were able to get this effect.

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<v Speaker 1>This trial was done in some very high risk areas.

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<v Speaker 1>A lot of these patients were in Brazil, which is

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<v Speaker 1>having a massive outbreak, and the idea that you can

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<v Speaker 1>be getting this vaccine to people across the world who

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<v Speaker 1>would otherwise have no no protection against the virus is

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<v Speaker 1>really breath taking. Is you can't and you can't overestimate

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<v Speaker 1>how important it is. It is really important to be

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<v Speaker 1>getting all of these vaccines. Yeah, So Michelle, it seems

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<v Speaker 1>like again, you know, we were started this process when

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<v Speaker 1>we started talking about vaccines and we were kind of

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<v Speaker 1>told that if you get a fifty your efficacy rate, uh,

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<v Speaker 1>that's good. And obviously now we're getting much much higher rates.

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<v Speaker 1>So it seems to me that while the astro Zenka

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<v Speaker 1>perhaps is not on par with some of its competitors

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<v Speaker 1>or peers, it's still very good. Is that the expectation

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<v Speaker 1>that this is still a good uh number. It is

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<v Speaker 1>a good uh, it's good science, it's a good the vaccine,

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<v Speaker 1>and that it will be effective in the marketplace. Absolutely

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<v Speaker 1>it is. It's an astonishing vaccine. We're even seeing you know,

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<v Speaker 1>some some data coming out of this trial that we

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<v Speaker 1>haven't seen as much with the other trials. For example,

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<v Speaker 1>we know that the astro vaccine is preventing asymptomatic cases.

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<v Speaker 1>So for people who didn't show any signs or symptoms

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<v Speaker 1>of the disease but might still be infected, this vaccine

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<v Speaker 1>is actually protecting against that. That's very important to know

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<v Speaker 1>that there's not some latent level of vaccine circulating among

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<v Speaker 1>the people who got this vaccine. And you have to

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<v Speaker 1>remember the numbers are astonishing in this low dose group

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<v Speaker 1>of people. There were seven cases out of over a

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<v Speaker 1>thousand people who were treated with the vaccine, and that's

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<v Speaker 1>just amazing to think that you can get that kind

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<v Speaker 1>of efficacy, even if it's not, you know, in it.

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<v Speaker 1>In comparison, there was one in the Fiser trial. But still,

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<v Speaker 1>and we're talking about seven people. One people, it's a

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<v Speaker 1>handful of people. It's remarkable, no matter which way you

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<v Speaker 1>look at Yeah, that's amazing. Also, the fact that you

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<v Speaker 1>can prevent it, you know, in people who might otherwise

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<v Speaker 1>be asymptomatic, that's really important because it's the people who

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<v Speaker 1>don't have it that are that that you don't know,

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<v Speaker 1>have a that are dangerous. I mean, if somebody is

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<v Speaker 1>coughing in front of you, you're obviously not going to,

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<v Speaker 1>you know, go near them. But if there's somebody looking

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<v Speaker 1>completely healthy who may have the virus, you wouldn't know

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<v Speaker 1>that necessarily. So how is this different to the m

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<v Speaker 1>r N A platform. How are Oxford and Astra approaching

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<v Speaker 1>this differently to say Fiser and the others. Right, Well,

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<v Speaker 1>there are different technologies. The m RNA. Uh, the RNA

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<v Speaker 1>vaccines are brand new. There are no vaccines like this

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<v Speaker 1>out there in the world. This will be the first

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<v Speaker 1>vaccine using this technology ever developed. It is again, I mean,

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<v Speaker 1>it keeps staying remarkable, but it's just like, how do

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<v Speaker 1>you do that. It's a vaccine that we've never even

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<v Speaker 1>tried before, and they're like, well, let's try it, and

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<v Speaker 1>not only let's try it, but in less than ten months,

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<v Speaker 1>we're going to start from zero and actually get it

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<v Speaker 1>into people's arms. Um. The way that vaccine works is

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<v Speaker 1>it actually delivers a little bit of the genetic seapoint,

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<v Speaker 1>so yoursels are producing of the like protein showing your

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<v Speaker 1>immune system what they should be going after. The after

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<v Speaker 1>vaccine is a little bit different. It actually developed it

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<v Speaker 1>delivers the virus itself to inactivated version of it into

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<v Speaker 1>the cells themselves, and so then they are producing that

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<v Speaker 1>protein and so they know what to go after. It's

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<v Speaker 1>a different approach the same idea in terms of exposing

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<v Speaker 1>the immune system to the virus so that it will

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<v Speaker 1>know what to look at. The after vaccine will be

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<v Speaker 1>easier to deliver. It doesn't require this super cold gain

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<v Speaker 1>deliver a system that the Fiser and Maderna vaccines do need.

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<v Speaker 1>So there are different different approaches here. Each one has

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<v Speaker 1>different benefits and risks. You know, if you are a

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<v Speaker 1>country that is very hot that doesn't have great consistent electricity,

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<v Speaker 1>you're probably not going to want the Visor and Maderna

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<v Speaker 1>vaccine anyway, you might not have the technology to deliver that.

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<v Speaker 1>So having the ASTRA version would be helpful for these areas.

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<v Speaker 1>And Michelle, what do we know about the timing of

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<v Speaker 1>getting approval for this vaccine across the world. We're seeing

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<v Speaker 1>it almost daily, including today with the FDA and and

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<v Speaker 1>the Fiser news. What do we know about the ASTRA timeline. Well,

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<v Speaker 1>it's interesting because ASTRA was on hold longer in the

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<v Speaker 1>US than it was in other places, specifically in Europe

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<v Speaker 1>that is very cautious when it comes to reviewing all

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<v Speaker 1>of these vaccines, making sure that they're dotting every ion

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<v Speaker 1>cross in every two So when it looks like for

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<v Speaker 1>the US, ASTRA is going to be a wild delayed

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<v Speaker 1>here is probably going to take a you know, a

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<v Speaker 1>couple of months at least to get this additional trial

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<v Speaker 1>underway and to figure out exactly where we're going. Certainly

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<v Speaker 1>there are other countries where we will most likely see

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<v Speaker 1>AFTRA going much more quickly and getting their vaccine onto

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<v Speaker 1>the market in other areas more quickly. That could happen

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<v Speaker 1>within the next month or two. Michelle, this idea that

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<v Speaker 1>was out that the Trump administration didn't put in a

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<v Speaker 1>big enough order with Fiser, how is that being received? Well.

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<v Speaker 1>The Trump administration is saying that they have ordered enough

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<v Speaker 1>vaccine to cover the entire US population. Anybody who's interested

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<v Speaker 1>in getting vaccinated should be able to have access to

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<v Speaker 1>that by the end of the summer. What their approach was,

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<v Speaker 1>they were ordering a hundred million doses from each of

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<v Speaker 1>the different vaccine companies so that they would be broadening

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<v Speaker 1>out their exposure level. So if one doesn't work, then

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<v Speaker 1>they haven't already purchased an awful lot of that and

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<v Speaker 1>and not enough of something else, so they didn't broadly,

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<v Speaker 1>you know, order six hundred million doses across various vaccines.

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<v Speaker 1>Of course, now we know that there's one or two

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<v Speaker 1>that are highly effective, you want to get all of

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<v Speaker 1>that as much as you possibly can. And as you

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<v Speaker 1>point out, they have already sold that vaccine to other places,

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<v Speaker 1>so it's going to be yet until the summer before

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<v Speaker 1>they can start delivering more of those doses to the

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<v Speaker 1>US government. We'll have to see if we if we're

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<v Speaker 1>going to need those doses or not. At this point,

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<v Speaker 1>we're still getting results from the other vaccine manufacturers, and

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<v Speaker 1>there could be additional benefits. Maybe you only need one

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<v Speaker 1>shot from some of these vaccines. Those side effects they're

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<v Speaker 1>very mild, but they do occur, and they occur in

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<v Speaker 1>more than half of people in some cases. So there

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<v Speaker 1>are other vaccines that are being developed still that might

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<v Speaker 1>have less of those sort of issues, or maybe they're

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<v Speaker 1>more effective than older people. So there's still details to

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<v Speaker 1>be teased out here. It does look like, you know,

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<v Speaker 1>a little bit of a setback that the US isn't

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<v Speaker 1>going to get as much of this first sisor vaccine

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<v Speaker 1>as they want, but ultimately it's going to be hard

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<v Speaker 1>to get it into everybody, and so we have to

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<v Speaker 1>see how it plays out. Michelle, thank you so much

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<v Speaker 1>for joining us. We really appreciate your reporting there. Michelle Cortez,

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<v Speaker 1>Health science and medical technology reporter for Bloomberg News. Let's

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<v Speaker 1>move to Tesla. Paul, you mentioned it earlier on speaking

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<v Speaker 1>with Dave Wilson. It's up at six ninety five now,

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<v Speaker 1>and you know, it just continues to move on up.

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<v Speaker 1>It's going to sell shares as the proceeds of up

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<v Speaker 1>to five billion dollars. That just doesn't seem to be

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<v Speaker 1>any stopping the investors in this company. Let's bring in

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<v Speaker 1>Don Eves of web Bush, analyst on Tesla. So Don

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<v Speaker 1>talk to us about this share price isn't warranted? Should

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<v Speaker 1>we throw another five billion dollars at this company? Look,

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<v Speaker 1>it's a great question. I mean, we are books is

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<v Speaker 1>a thousand dollars and we continue to view this right

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<v Speaker 1>now as just a transformational market in terms of ev demand.

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<v Speaker 1>And if you look at evening market right now, Houselow's

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<v Speaker 1>World and everyone else, Pam Rent and I think that's

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<v Speaker 1>when that's what they're looking at they're looking at what

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<v Speaker 1>this market is going to be the next three to

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<v Speaker 1>four years. Obviously stock to continue to devout, but in

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<v Speaker 1>terms of playing the E V space when you look

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<v Speaker 1>out and I think that right now is why this

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<v Speaker 1>stock continues to move higher. They're just given the supply demand.

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<v Speaker 1>I'm sure you d please, so Dan, give us a

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<v Speaker 1>sense here of use of proceeds. Here is just simply

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<v Speaker 1>let's shore up the balance sheet, raised capital when we can,

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<v Speaker 1>not necessarily when we need it. But that's exactly a pole.

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<v Speaker 1>I mean, this is a twelve billion in countering in

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<v Speaker 1>terms of what they have raised. Go back a year ago,

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<v Speaker 1>that was the biggest Bara thesis in terms of shoring

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<v Speaker 1>up the balance sheet. They were not profitable. Now you've

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<v Speaker 1>got profitability. They're hitting when the iron is hot in

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<v Speaker 1>terms of raising capital, and it really throws that bare

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<v Speaker 1>thesis out the window. And naturally the key when you

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<v Speaker 1>go forward in terms of the tests of story. Now

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<v Speaker 1>you don't have any baluncari issues. So in until he

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<v Speaker 1>spends it, I mean, he seems to have an unlimited

0:12:02.240 --> 0:12:04.439
<v Speaker 1>ability to spend the money that he gets in so

0:12:05.040 --> 0:12:07.439
<v Speaker 1>how for how long will there be no balancy to

0:12:07.440 --> 0:12:13.320
<v Speaker 1>issues even with capital deployment in Berwin as well as

0:12:14.040 --> 0:12:16.400
<v Speaker 1>in Austin. I mean this really shures him up for

0:12:16.440 --> 0:12:20.920
<v Speaker 1>the next few years in terms of those capital issues. Now, investors,

0:12:21.240 --> 0:12:24.280
<v Speaker 1>you and is what's the growth opportunity going forward? And

0:12:24.400 --> 0:12:26.600
<v Speaker 1>right now if you look at ev especially in China,

0:12:27.240 --> 0:12:29.560
<v Speaker 1>you know, test has really seen an inflection of them

0:12:29.559 --> 0:12:32.720
<v Speaker 1>and profitable. That speaks of the S and P five

0:12:32.800 --> 0:12:37.360
<v Speaker 1>hundred inclusion, which is different from a year ago. Hey, Dan,

0:12:37.440 --> 0:12:39.320
<v Speaker 1>give us a censor. Let's take a step back here.

0:12:39.920 --> 0:12:42.760
<v Speaker 1>It just feels like we're starting to hear more and

0:12:42.840 --> 0:12:47.199
<v Speaker 1>more out of the traditional automakers in terms of maybe

0:12:47.200 --> 0:12:52.360
<v Speaker 1>some product introductions, some ev products in particular, How do

0:12:52.480 --> 0:12:56.959
<v Speaker 1>you think the traditional auto manufacturers over the next five

0:12:57.080 --> 0:13:00.760
<v Speaker 1>years are going to move on e V And how

0:13:00.800 --> 0:13:03.199
<v Speaker 1>do you think that to what extent is at a

0:13:03.240 --> 0:13:06.559
<v Speaker 1>risk to Tesla? Well, I think if you look at

0:13:06.600 --> 0:13:10.959
<v Speaker 1>GM spending twenty billion the next five years on EVY,

0:13:11.040 --> 0:13:13.240
<v Speaker 1>and I think it speaks to what's happening, is this

0:13:13.320 --> 0:13:18.000
<v Speaker 1>is really gonna be Today it's three overall automotive sales worldwide.

0:13:18.040 --> 0:13:19.880
<v Speaker 1>I think that goes at ten percent by two thou

0:13:21.080 --> 0:13:24.120
<v Speaker 1>I think traditional automakers of you and this, you're gonna

0:13:24.120 --> 0:13:26.360
<v Speaker 1>have tax incentives. Of course, you have it in Europe.

0:13:26.400 --> 0:13:30.079
<v Speaker 1>I think with the Biden administration doubling down tax incentives

0:13:30.120 --> 0:13:34.720
<v Speaker 1>in the US, and ultimately from a multiple perspective, remember,

0:13:34.760 --> 0:13:37.559
<v Speaker 1>Tesla doesn't get treated as an automotive company. It's a

0:13:37.679 --> 0:13:42.360
<v Speaker 1>technology disruptive technology means and I think automotives and the boards.

0:13:42.400 --> 0:13:45.560
<v Speaker 1>They also recognize that. More and more success on evy,

0:13:45.760 --> 0:13:48.920
<v Speaker 1>you can start to see names like GM Forward get

0:13:48.960 --> 0:13:52.319
<v Speaker 1>rerated on that success. A couple of questions done you

0:13:52.360 --> 0:13:55.719
<v Speaker 1>don't mind. One is you've ben underperformer on Nicolas. You

0:13:56.000 --> 0:13:58.480
<v Speaker 1>obviously feel like that's a whole different type of story.

0:13:58.720 --> 0:14:01.320
<v Speaker 1>And the similarities that we see between the Nicolas story

0:14:01.320 --> 0:14:04.200
<v Speaker 1>and the Tesla story really maybe we shouldn't be seeing them.

0:14:04.240 --> 0:14:06.000
<v Speaker 1>So I want to ask you about that. I also

0:14:06.000 --> 0:14:07.960
<v Speaker 1>want to ask you if elon Muska is spread too

0:14:08.000 --> 0:14:10.920
<v Speaker 1>thin and white people have stopped complaining about that. They

0:14:10.960 --> 0:14:12.920
<v Speaker 1>used to complain about that when it came to Dr

0:14:12.920 --> 0:14:16.280
<v Speaker 1>Dorsey all the time. Yeah. In terms of Nicol, I mean,

0:14:16.360 --> 0:14:19.280
<v Speaker 1>our cautious stands has been just some of the company's

0:14:19.280 --> 0:14:23.080
<v Speaker 1>specific issues going on, you know, especially with GM and

0:14:23.120 --> 0:14:25.840
<v Speaker 1>others I do think that they will start to clear

0:14:26.040 --> 0:14:28.600
<v Speaker 1>over the next three to six months. But that's why

0:14:28.640 --> 0:14:31.160
<v Speaker 1>we've been more cautious on Nicola, even though they still

0:14:31.200 --> 0:14:34.320
<v Speaker 1>have great prototype and opportunity. I think, look, it's not

0:14:34.520 --> 0:14:38.480
<v Speaker 1>a campaign every company with the same brush. And I

0:14:38.520 --> 0:14:41.080
<v Speaker 1>think in terms of e V, you know, going to

0:14:41.080 --> 0:14:43.800
<v Speaker 1>to the Musk question, I mean, he's kind of had

0:14:43.840 --> 0:14:48.360
<v Speaker 1>that red tape. He's been able to do Superman like things,

0:14:48.360 --> 0:14:50.760
<v Speaker 1>not just with Tessa, but of course with SpaceX, and

0:14:50.840 --> 0:14:53.160
<v Speaker 1>I think that's not as much of a concern for

0:14:53.280 --> 0:14:58.000
<v Speaker 1>investors just given what you've seen, more maturity, more profitability.

0:14:58.080 --> 0:15:02.680
<v Speaker 1>They've scaled across US the globe and must continue to

0:15:02.760 --> 0:15:05.840
<v Speaker 1>kind of navigate, as well as a strong bene that

0:15:06.120 --> 0:15:11.440
<v Speaker 1>they've started to develop over ex three months. So you know,

0:15:11.480 --> 0:15:13.560
<v Speaker 1>it's interesting down as we think about the test of story,

0:15:13.600 --> 0:15:16.480
<v Speaker 1>it's always just what's the next catalyst? What's the next catalyst?

0:15:16.520 --> 0:15:18.640
<v Speaker 1>You know, um, is it to take a look at

0:15:18.640 --> 0:15:20.520
<v Speaker 1>the test of story? Is that new products? Is that

0:15:20.640 --> 0:15:24.160
<v Speaker 1>manufacturing numbers? What investors really focusing on in terms of

0:15:24.200 --> 0:15:28.480
<v Speaker 1>metrics these days? Yeah, metrics right now, leaves are focused

0:15:28.560 --> 0:15:30.920
<v Speaker 1>on China. I'm not think China could be worth a

0:15:31.000 --> 0:15:34.520
<v Speaker 1>hundred hours per share. That's the focus looking at what

0:15:34.600 --> 0:15:37.400
<v Speaker 1>we see. We've always seen strength in terms of this

0:15:37.480 --> 0:15:39.920
<v Speaker 1>quarter going into next year. You know, can they get

0:15:39.960 --> 0:15:44.040
<v Speaker 1>the two hundred fifty thousand units potentially in China from

0:15:44.080 --> 0:15:46.600
<v Speaker 1>one fifty first year out, That's gonna be the key.

0:15:46.600 --> 0:15:48.840
<v Speaker 1>And then it's the drum roll to the cyber truck.

0:15:48.920 --> 0:15:51.360
<v Speaker 1>I mean, that's gonna be the next, you know, really

0:15:51.400 --> 0:15:54.920
<v Speaker 1>potential game changer model. And you're seeing that pickup truck market.

0:15:55.240 --> 0:15:58.760
<v Speaker 1>It's not just test, it's for GM now obviously Rivian.

0:15:59.200 --> 0:16:01.600
<v Speaker 1>You know, that's a whole another opportunity in terms of

0:16:01.720 --> 0:16:03.760
<v Speaker 1>easy and it speaks to what you're seeing in these

0:16:03.760 --> 0:16:06.360
<v Speaker 1>stocks not just in the US, but even in China

0:16:06.400 --> 0:16:09.040
<v Speaker 1>and Neo and others. Just you know, really in the

0:16:09.160 --> 0:16:13.800
<v Speaker 1>early days of this market breaking out, what's your your

0:16:13.840 --> 0:16:17.000
<v Speaker 1>favorite company or your most ferry company. I suppose in

0:16:17.000 --> 0:16:19.480
<v Speaker 1>your coverage universe you cover a lot of companies that

0:16:19.480 --> 0:16:22.040
<v Speaker 1>are relevant to the current period, including docu sign and

0:16:22.400 --> 0:16:25.640
<v Speaker 1>companies like that. Yeah, with doctor Sign has been our

0:16:25.640 --> 0:16:28.480
<v Speaker 1>favorite work from home name along with z Scale. I

0:16:28.480 --> 0:16:32.160
<v Speaker 1>think you've got to play cloud and cyber securities core themes,

0:16:32.600 --> 0:16:35.080
<v Speaker 1>and there are favorite large cap continues to be Apple,

0:16:35.120 --> 0:16:38.960
<v Speaker 1>I think going into a supercycle, demand looks very strong

0:16:39.160 --> 0:16:41.880
<v Speaker 1>going into next year, and that continues to be our

0:16:41.920 --> 0:16:45.120
<v Speaker 1>favorite large company. And along with Microsoft to play the cloud,

0:16:45.120 --> 0:16:48.200
<v Speaker 1>and those are the keys cloud, cyber security and these

0:16:48.320 --> 0:16:51.440
<v Speaker 1>large tech names. We still think tex Stox a year

0:16:51.480 --> 0:16:54.760
<v Speaker 1>from now or thirty percent higher. Dan Apples had a

0:16:54.800 --> 0:16:57.080
<v Speaker 1>bunch of news out today, some new products and headphones,

0:16:57.160 --> 0:16:59.760
<v Speaker 1>some chips. What's the takeaway from what you've heard from

0:16:59.760 --> 0:17:02.720
<v Speaker 1>Apple over the last twenty four hours. Yeah, it's just

0:17:03.080 --> 0:17:06.960
<v Speaker 1>further solidifying not just the supercycle in terms of iPhone,

0:17:07.000 --> 0:17:10.800
<v Speaker 1>but the broader products cycle that's happened across Max, across

0:17:10.880 --> 0:17:13.280
<v Speaker 1>air pods. I mean, we think air pods this year

0:17:13.400 --> 0:17:17.600
<v Speaker 1>ninety million units sold, that's up from sixty million a

0:17:17.680 --> 0:17:19.679
<v Speaker 1>year ago. That's gonna be five percent of South. So

0:17:19.680 --> 0:17:22.760
<v Speaker 1>when you're starting to seek not just on services, which

0:17:22.760 --> 0:17:25.120
<v Speaker 1>is a big part of the re rating, but Apple

0:17:25.240 --> 0:17:27.479
<v Speaker 1>right now is in the biggest product cycle, not just

0:17:27.520 --> 0:17:31.200
<v Speaker 1>an iPhone, but if you could cross the board billion,

0:17:31.280 --> 0:17:33.280
<v Speaker 1>it's history, and I think that speaks to why this

0:17:33.440 --> 0:17:36.040
<v Speaker 1>stock has a lot more fuel on the engine. You know,

0:17:36.160 --> 0:17:39.680
<v Speaker 1>right now we see hundred fifty price target. I think

0:17:39.720 --> 0:17:43.320
<v Speaker 1>potentially bull Case could start to get you towards two hundred. Dan.

0:17:43.400 --> 0:17:45.040
<v Speaker 1>Thanks as always, we like to just kind of go

0:17:45.080 --> 0:17:48.359
<v Speaker 1>across the board tech with you, and you're always able

0:17:48.400 --> 0:17:52.120
<v Speaker 1>to give us some great insights. Dan i'ves Managing director

0:17:52.600 --> 0:17:56.520
<v Speaker 1>Equity Research web Bush Securities giving his thoughts on Tesla,

0:17:56.800 --> 0:17:59.200
<v Speaker 1>Apple and some of the stay at home stocks. Dan

0:17:59.280 --> 0:18:01.760
<v Speaker 1>I was a big, big ball on technology. He's been

0:18:01.800 --> 0:18:05.280
<v Speaker 1>absolutely on top of these names, and he's been absolutely

0:18:05.640 --> 0:18:10.040
<v Speaker 1>right writing this technology ballmarket that we've seen really since

0:18:10.400 --> 0:18:12.359
<v Speaker 1>uh the end of the financial crisis isn't really come

0:18:12.359 --> 0:18:14.960
<v Speaker 1>into play really just over the last twelve months as well,

0:18:15.000 --> 0:18:19.480
<v Speaker 1>So we appreciate dance thoughts. Let's bring in Daniel Master,

0:18:19.560 --> 0:18:22.040
<v Speaker 1>who is chairman of coin Shares Group at one point

0:18:22.080 --> 0:18:24.760
<v Speaker 1>eight billion dollar platform and as you can imagine, how's

0:18:24.760 --> 0:18:27.320
<v Speaker 1>a little bit to do with cryptocurrency. So Danny, thank

0:18:27.359 --> 0:18:30.679
<v Speaker 1>you for joining. Very happy to have you chat with us.

0:18:31.520 --> 0:18:35.720
<v Speaker 1>I'm very interested in coin shares and how it inhabits

0:18:35.720 --> 0:18:38.879
<v Speaker 1>the ecosystem that is crypto and cryptocurrencies and platforms. Can

0:18:38.920 --> 0:18:44.040
<v Speaker 1>you explain a little bit about it to us? Yeah, um,

0:18:44.480 --> 0:18:49.080
<v Speaker 1>coin shares, we make it easy for institutions and other

0:18:49.160 --> 0:18:53.240
<v Speaker 1>investors to own bitcoin. Um. We see this demand reflected

0:18:53.280 --> 0:18:55.840
<v Speaker 1>in our a U M the figures which have been

0:18:56.520 --> 0:19:00.000
<v Speaker 1>rising as you just mentioned. UM. The second thing we've

0:19:00.000 --> 0:19:03.719
<v Speaker 1>do as we provide liquidity. We've done about eight billion

0:19:03.800 --> 0:19:06.720
<v Speaker 1>dollars in cryptocurrency trading volume this year, which is up

0:19:06.760 --> 0:19:11.639
<v Speaker 1>about four times on last. And we're helping to build

0:19:11.920 --> 0:19:17.640
<v Speaker 1>and shape the infrastructure of the cryptocurrency ecosystem with other

0:19:17.680 --> 0:19:22.320
<v Speaker 1>global banks like Namura creating products, investing in innovative companies,

0:19:22.320 --> 0:19:26.399
<v Speaker 1>and building this new financial system. So, Danny, give us

0:19:26.440 --> 0:19:28.080
<v Speaker 1>a sense of kind of what you're seeing just in

0:19:28.119 --> 0:19:33.840
<v Speaker 1>the marketplace as to the adoption of just cryptocurrencies in general.

0:19:33.880 --> 0:19:36.480
<v Speaker 1>We hear a lot about fintech, a lot about cryptocurrencies,

0:19:36.480 --> 0:19:39.200
<v Speaker 1>but give me some sense of the applications you're seeing

0:19:39.240 --> 0:19:43.280
<v Speaker 1>out there in the marketplace. Well, that's one of the

0:19:43.280 --> 0:19:47.119
<v Speaker 1>most fascinating aspects of my job day to day. I

0:19:47.160 --> 0:19:51.240
<v Speaker 1>think we've think back to in the last peak cycle

0:19:51.320 --> 0:19:55.480
<v Speaker 1>of crypto prices, one of the criticisms, which I think

0:19:55.560 --> 0:19:58.880
<v Speaker 1>was valid, was that not much of the infrastructure had

0:19:58.920 --> 0:20:01.920
<v Speaker 1>been built, not much of the software and new applications

0:20:01.960 --> 0:20:06.000
<v Speaker 1>had been developed. But now We're seeing some fantastic companies,

0:20:06.720 --> 0:20:11.000
<v Speaker 1>companies like unite Swap, companies like Compound Finance, d y

0:20:11.119 --> 0:20:15.320
<v Speaker 1>p X, Leverage and many other names who are delivering

0:20:15.880 --> 0:20:21.320
<v Speaker 1>essentially banking services. They're borrowing, lending, hypoblication, trading, custody and

0:20:21.359 --> 0:20:27.560
<v Speaker 1>derivatives all on the blockchain. So where do you fit

0:20:27.600 --> 0:20:30.280
<v Speaker 1>into that, Danny, I mean coin shares. You're not a

0:20:30.440 --> 0:20:35.439
<v Speaker 1>You're not a currency, right, You're a platform. Yeah, I

0:20:35.480 --> 0:20:39.320
<v Speaker 1>mean we we we issue eight securities that list on

0:20:39.440 --> 0:20:43.280
<v Speaker 1>nasdaimexans dot com. This makes it easy to buy and

0:20:43.480 --> 0:20:48.520
<v Speaker 1>own cryptocountcy exposure through your normal bank of broker um.

0:20:48.560 --> 0:20:51.280
<v Speaker 1>That's a big part of our business. We are investors

0:20:51.440 --> 0:20:56.359
<v Speaker 1>in early stage equity for companies in the ecosystem that

0:20:56.400 --> 0:21:02.800
<v Speaker 1>are building exchanges, data companies, wallets, lock chains. We have

0:21:02.920 --> 0:21:06.040
<v Speaker 1>produced a gold back to Swiss gold back to stable

0:21:06.080 --> 0:21:10.760
<v Speaker 1>coin which is issued across Europe. And we're also put

0:21:10.800 --> 0:21:14.760
<v Speaker 1>forward a very interesting indexation strategy called the coin Shares

0:21:14.800 --> 0:21:19.080
<v Speaker 1>Gold and Cryptocurrency Index, which pairs gold and a basket

0:21:19.119 --> 0:21:23.240
<v Speaker 1>of cryptocurrency in a risk managed way for institutional investors.

0:21:23.240 --> 0:21:26.359
<v Speaker 1>So we do a number of things well, Daniel, just

0:21:26.400 --> 0:21:29.639
<v Speaker 1>on my blueber terminal. Here I kicked in xpt U

0:21:29.840 --> 0:21:34.399
<v Speaker 1>s D the bitcoin ticker and what a chart that is.

0:21:34.760 --> 0:21:39.800
<v Speaker 1>Give us your thoughts on bitcoin. The mood is electric.

0:21:39.880 --> 0:21:45.480
<v Speaker 1>At the momentum, we've seen a transformation due to COVID.

0:21:46.359 --> 0:21:49.040
<v Speaker 1>Bitcoin was created as a reaction to the twenty oh

0:21:49.160 --> 0:21:54.000
<v Speaker 1>a quantitative easy program. Obviously with a situation we've all

0:21:54.040 --> 0:21:58.360
<v Speaker 1>been facing in the last nine ten months, this quantitative

0:21:58.359 --> 0:22:03.240
<v Speaker 1>easing h end has only magnified probably three or four folds.

0:22:03.280 --> 0:22:06.880
<v Speaker 1>So at the moment the markets driven by the narrative

0:22:07.280 --> 0:22:12.520
<v Speaker 1>for inflation resistance investments, it's driven by digitization. Bitcoin is

0:22:12.560 --> 0:22:16.520
<v Speaker 1>a store of digital value which people want. And interestingly,

0:22:17.119 --> 0:22:22.000
<v Speaker 1>investors are becoming less spooked by the characteristic volatility of bitcoin,

0:22:22.280 --> 0:22:26.320
<v Speaker 1>which has been dropping over the last few years. And

0:22:26.440 --> 0:22:30.280
<v Speaker 1>while other investments we know the drama in the oil

0:22:30.320 --> 0:22:33.520
<v Speaker 1>market earlier this year, other investments are becoming more volatile,

0:22:33.600 --> 0:22:38.600
<v Speaker 1>so that volatility profile is becoming a bit more palatable. Danny,

0:22:38.640 --> 0:22:40.920
<v Speaker 1>is it still a land grab? So, I know, you know,

0:22:41.119 --> 0:22:43.879
<v Speaker 1>for the platforms in particular, it was a bit of

0:22:43.880 --> 0:22:47.399
<v Speaker 1>a land grab for a long time. Is it still

0:22:47.440 --> 0:22:51.720
<v Speaker 1>the case who is emerging the winner when it comes

0:22:51.720 --> 0:22:53.639
<v Speaker 1>to when it came to sort of taking the bets

0:22:53.840 --> 0:22:57.040
<v Speaker 1>on the infrastructure of it all. You say, you do

0:22:57.119 --> 0:22:59.600
<v Speaker 1>many things. You obviously placed bets in a lot of

0:22:59.600 --> 0:23:02.280
<v Speaker 1>different calces, and now that central links are starting to

0:23:02.280 --> 0:23:04.159
<v Speaker 1>talk about it, I imagine it's becoming a little bit

0:23:04.200 --> 0:23:10.400
<v Speaker 1>more mainstream. But where where are the places where people want? Yeah,

0:23:10.440 --> 0:23:14.000
<v Speaker 1>that's a great question. Um, I'll even wind the clock

0:23:14.119 --> 0:23:17.879
<v Speaker 1>forward a little bit. I think we are contemplating a

0:23:17.960 --> 0:23:22.320
<v Speaker 1>new environment, maybe two to four years forward, where central

0:23:22.320 --> 0:23:27.040
<v Speaker 1>bank digital currencies are the norm, and there are huge

0:23:27.040 --> 0:23:31.639
<v Speaker 1>advantages for central banks for issuing such digital currencies. Um.

0:23:31.680 --> 0:23:35.200
<v Speaker 1>Now when we see that, we're going to be asking

0:23:35.200 --> 0:23:40.040
<v Speaker 1>the question who's going to perform those banking services in

0:23:40.119 --> 0:23:43.200
<v Speaker 1>the intermediate layer, the borrowing lending as I mentioned before,

0:23:43.640 --> 0:23:46.159
<v Speaker 1>And those are interesting companies that I think are winning

0:23:46.800 --> 0:23:49.879
<v Speaker 1>great mindshare and great market cap at the moment. But

0:23:50.000 --> 0:23:56.000
<v Speaker 1>perhaps the most interesting land grab opportunity is for the

0:23:56.200 --> 0:24:00.000
<v Speaker 1>end points for those digital wallets, these sort of Amazon

0:24:00.200 --> 0:24:03.160
<v Speaker 1>dot com a digital assets. So when your gold is digital,

0:24:03.200 --> 0:24:06.920
<v Speaker 1>your stocks are digital, your bonds of digital. Whereas though,

0:24:06.920 --> 0:24:08.720
<v Speaker 1>where are those digital assets going to be held? And

0:24:08.720 --> 0:24:12.720
<v Speaker 1>it's that wallet infrastructure that is the most interesting land grabs.

0:24:12.720 --> 0:24:17.320
<v Speaker 1>So you've seen Facebook and Libra and Calibra trying to

0:24:18.280 --> 0:24:22.000
<v Speaker 1>take take the advantage in that space. You've got the

0:24:22.040 --> 0:24:27.240
<v Speaker 1>big exchanges like coin based and Finance and maybe bitfin x,

0:24:27.280 --> 0:24:31.920
<v Speaker 1>who are also quite strong in the wallet infrastructure. You've

0:24:31.960 --> 0:24:36.880
<v Speaker 1>got native blockchain infrastructure companies like blockchain dot Com one

0:24:36.920 --> 0:24:40.960
<v Speaker 1>of our partners, fantastic company, sixty million wallets already. And

0:24:41.000 --> 0:24:45.920
<v Speaker 1>then you have newcomers like Samsung's who are putting hardware

0:24:45.960 --> 0:24:50.320
<v Speaker 1>security devices in phones that can then act like digital wallets.

0:24:50.320 --> 0:24:52.520
<v Speaker 1>So it could be a phone provider. And we've yet

0:24:52.560 --> 0:24:56.160
<v Speaker 1>to see what other companies like Amazon, like Google may

0:24:56.240 --> 0:24:59.440
<v Speaker 1>do in reaction to the moves that some of their

0:24:59.440 --> 0:25:02.719
<v Speaker 1>competitors are making. Hey Danny, just real quick twenty seconds.

0:25:03.119 --> 0:25:05.320
<v Speaker 1>Do you need the big big banks, the JP Morgans

0:25:05.320 --> 0:25:08.600
<v Speaker 1>in the world to come into this market? I think

0:25:08.680 --> 0:25:12.440
<v Speaker 1>that this intermediate layer of banking services that are now

0:25:12.480 --> 0:25:14.960
<v Speaker 1>emerging on Shane. You know, these are big proof of

0:25:15.000 --> 0:25:18.200
<v Speaker 1>concept companies, but they're growing, you know, two billion dollar

0:25:18.280 --> 0:25:22.119
<v Speaker 1>status very quickly. Um. It seems to me that a

0:25:22.160 --> 0:25:25.239
<v Speaker 1>lot of the traditional banks, the Morgan's Chases and so on,

0:25:25.960 --> 0:25:29.240
<v Speaker 1>are quite far behind everybody's got an initiative, but they

0:25:29.280 --> 0:25:32.960
<v Speaker 1>seem to be stalling and they seem to be quite

0:25:33.000 --> 0:25:35.800
<v Speaker 1>far behind the rest of the pack. Yeah, certainly it

0:25:35.840 --> 0:25:38.400
<v Speaker 1>seems to be the case. Danny Masters, thanks so much

0:25:38.440 --> 0:25:40.960
<v Speaker 1>for joining us year. We always appreciate getting your thoughts

0:25:40.960 --> 0:25:44.560
<v Speaker 1>on all things crypto. Danny Masters, chairman coin Shares a

0:25:44.760 --> 0:25:47.800
<v Speaker 1>group based in London, with some thoughts on the crypto market,

0:25:47.840 --> 0:25:50.879
<v Speaker 1>and uh, it's a fast growing market. But you know,

0:25:50.920 --> 0:25:53.080
<v Speaker 1>one of the questions is do you need the validation

0:25:53.240 --> 0:25:56.200
<v Speaker 1>of some of these large global banks to really kind

0:25:56.200 --> 0:25:59.480
<v Speaker 1>of propel that market forward or can they be driven

0:25:59.480 --> 0:26:03.840
<v Speaker 1>simply by the technologies. Well, as we all think about

0:26:03.880 --> 0:26:06.960
<v Speaker 1>how to best manage our day to day activities amid

0:26:07.000 --> 0:26:09.520
<v Speaker 1>the pandemic, one of the areas that's really taken a

0:26:09.640 --> 0:26:12.960
<v Speaker 1>hit has been mass transportation. People just don't feel comfortable

0:26:13.560 --> 0:26:16.480
<v Speaker 1>getting on subways and busses and so on. But a

0:26:16.480 --> 0:26:19.000
<v Speaker 1>new report from n YU suggest that they met that

0:26:19.080 --> 0:26:21.640
<v Speaker 1>may not be as big an issue as people may

0:26:21.640 --> 0:26:25.160
<v Speaker 1>be thinking. Professor Mitchell Ross, I'm sorry, Mitchell Moss, Director

0:26:25.200 --> 0:26:28.720
<v Speaker 1>of the Root and Center for Transportation Policy and Management,

0:26:28.760 --> 0:26:31.080
<v Speaker 1>also the Henry Hart Rice Professor of Urban Policy, and

0:26:31.119 --> 0:26:33.920
<v Speaker 1>Planning at n y U joins US Professor Moss, thanks

0:26:33.920 --> 0:26:36.000
<v Speaker 1>so much for joining us here. When I saw this report,

0:26:36.040 --> 0:26:38.360
<v Speaker 1>it really piqued my interest because as someone like most

0:26:38.359 --> 0:26:41.320
<v Speaker 1>New Yorkers, we arrived the subway multiple times every day,

0:26:41.440 --> 0:26:45.280
<v Speaker 1>and the assumption was that was just a breeding ground

0:26:45.280 --> 0:26:48.920
<v Speaker 1>for all types of viruses, including COVID. What did your

0:26:49.520 --> 0:26:56.000
<v Speaker 1>research tell you? So the study we have done shows

0:26:56.040 --> 0:26:59.760
<v Speaker 1>that influenza debts, which is not the same as coronavirus,

0:27:00.160 --> 0:27:02.960
<v Speaker 1>over a ten year period, have no relationship to mass

0:27:02.960 --> 0:27:05.960
<v Speaker 1>transit ridership, and we believe since the spread of the

0:27:06.040 --> 0:27:09.359
<v Speaker 1>virus has some similarities. This is a very important study

0:27:09.400 --> 0:27:12.800
<v Speaker 1>because it confirms what has been reached in other areas

0:27:12.840 --> 0:27:17.320
<v Speaker 1>of science, which is that it's sustained social interaction, which

0:27:17.400 --> 0:27:19.800
<v Speaker 1>is the area of highest risk for the spread of

0:27:19.800 --> 0:27:25.720
<v Speaker 1>this coronavirus. So, when you say influenza deaths, what about

0:27:25.840 --> 0:27:30.639
<v Speaker 1>influenza hospitalizations or just contracting influenza? Were you able to

0:27:30.640 --> 0:27:33.600
<v Speaker 1>get data on that? Well, we relied on death because

0:27:33.600 --> 0:27:35.280
<v Speaker 1>there's one thing it's very high to do is to

0:27:35.359 --> 0:27:38.639
<v Speaker 1>hide a body and the diagnosis. We didn't really go

0:27:38.760 --> 0:27:41.080
<v Speaker 1>for the kind of number of diagnosis of influenza, which

0:27:41.080 --> 0:27:44.679
<v Speaker 1>as you know, can be quite common, especially among older people,

0:27:44.920 --> 0:27:49.120
<v Speaker 1>but influenza death is a very specific category. I think

0:27:49.160 --> 0:27:51.520
<v Speaker 1>the key part which we want to highlight here is

0:27:51.560 --> 0:27:55.159
<v Speaker 1>that the subway in New York especially, but also in

0:27:55.200 --> 0:27:58.240
<v Speaker 1>Hong Kong and in Paris and in certain cases soul

0:27:58.320 --> 0:28:02.479
<v Speaker 1>in Tokyo has been manageable. In other words, people are

0:28:02.480 --> 0:28:05.480
<v Speaker 1>wearing masks in some places, they're cleaning the subway cars

0:28:05.600 --> 0:28:08.400
<v Speaker 1>multiple times. In New York, the air it's filtered more

0:28:08.440 --> 0:28:11.520
<v Speaker 1>often you know, in a subway car that it is

0:28:11.560 --> 0:28:14.119
<v Speaker 1>in most office buildings. So we believe, and it's very

0:28:14.160 --> 0:28:17.480
<v Speaker 1>important here, that the subway, where most people don't talk

0:28:17.520 --> 0:28:19.840
<v Speaker 1>to each other, they don't look at each other, they

0:28:19.880 --> 0:28:22.800
<v Speaker 1>can't hear each other because the train wheels are so loud,

0:28:23.400 --> 0:28:26.680
<v Speaker 1>they're focusing on their phones or their iPads, actually produces

0:28:26.800 --> 0:28:30.320
<v Speaker 1>very atomistic behavior. People stick to themselves, and so the

0:28:30.359 --> 0:28:34.879
<v Speaker 1>actual subway ride is not the source we believe of

0:28:34.920 --> 0:28:37.199
<v Speaker 1>the virus compared to other settings. And how do we

0:28:37.280 --> 0:28:39.960
<v Speaker 1>know this, Well, look in at the state of New York.

0:28:40.000 --> 0:28:42.920
<v Speaker 1>Buffalo has an infection rate three times higher than the

0:28:42.960 --> 0:28:45.880
<v Speaker 1>city of New York. Buffalo is not a major subway city.

0:28:45.920 --> 0:28:49.040
<v Speaker 1>They have a bus system. Los Angeles and southern California,

0:28:49.280 --> 0:28:52.040
<v Speaker 1>which is having a vast surge, as you know of cases,

0:28:52.480 --> 0:28:55.400
<v Speaker 1>is an automobile city. In fact, people cannot figure out

0:28:55.400 --> 0:28:57.719
<v Speaker 1>how l A could have so many cases, given how

0:28:57.960 --> 0:29:00.120
<v Speaker 1>low density some of the living is and how out

0:29:00.120 --> 0:29:03.520
<v Speaker 1>doors it is, and so the virus spreads when people

0:29:03.520 --> 0:29:06.280
<v Speaker 1>are together with each other for sustained periods of time,

0:29:06.720 --> 0:29:11.480
<v Speaker 1>especially indoors. The subway tends to be a managed ride,

0:29:11.920 --> 0:29:14.800
<v Speaker 1>tends to have very little interaction, and the air itself

0:29:14.840 --> 0:29:17.240
<v Speaker 1>there it's filtered so often that it tends to present

0:29:17.320 --> 0:29:19.560
<v Speaker 1>less of a risk than in many cases. I would

0:29:19.600 --> 0:29:21.920
<v Speaker 1>like going to the Oval Office. I mean, we have

0:29:22.000 --> 0:29:24.080
<v Speaker 1>a chart in the media and the number of people

0:29:24.120 --> 0:29:26.280
<v Speaker 1>who have been with the President who have contracted the virus.

0:29:26.600 --> 0:29:28.280
<v Speaker 1>We think the subway car is safer than in the

0:29:28.280 --> 0:29:30.320
<v Speaker 1>Oval Office. Yeah, but I wouldn't have wanted to ride

0:29:30.320 --> 0:29:33.400
<v Speaker 1>in a subway car with the President at that time either. Well.

0:29:33.520 --> 0:29:35.960
<v Speaker 1>I think that what we've seen is that the initial

0:29:36.240 --> 0:29:39.720
<v Speaker 1>pandemic was so concentrated in New York. The people said

0:29:39.760 --> 0:29:42.800
<v Speaker 1>it must be due to mass transit, And now we

0:29:42.840 --> 0:29:44.360
<v Speaker 1>see if you look at a map of the US.

0:29:44.760 --> 0:29:47.120
<v Speaker 1>You know, you know, there are states in the Upper

0:29:47.160 --> 0:29:49.640
<v Speaker 1>Midwest where they wouldn't know a subway car from a

0:29:49.680 --> 0:29:52.680
<v Speaker 1>limousine because in fact, you know, they're really driving trucks

0:29:52.680 --> 0:29:55.480
<v Speaker 1>and the factors in South Dakota and North Dakota and

0:29:55.640 --> 0:29:58.000
<v Speaker 1>some of those states have had serious outbreaks from a

0:29:58.000 --> 0:30:01.720
<v Speaker 1>motorcycle rally. So what we would argue is that our

0:30:01.760 --> 0:30:06.040
<v Speaker 1>research shows that mass transit by itself is not really

0:30:06.080 --> 0:30:09.280
<v Speaker 1>tied to the spread of virus. Now, over time, we're

0:30:09.320 --> 0:30:12.400
<v Speaker 1>going to learn more about the coronavirus. But wait, professor,

0:30:12.400 --> 0:30:14.560
<v Speaker 1>can I just can I just clarify? Are you basing

0:30:14.600 --> 0:30:17.280
<v Speaker 1>that on the fact that the people who died from

0:30:17.280 --> 0:30:22.480
<v Speaker 1>influenza across the country didn't increase in areas for the

0:30:22.520 --> 0:30:25.239
<v Speaker 1>renomas transit? Is that? Is that? No? I think, well,

0:30:25.440 --> 0:30:28.160
<v Speaker 1>there's a great question. I appreciate. Remember this is a

0:30:28.200 --> 0:30:31.280
<v Speaker 1>study of collective death, so it's no one individual case.

0:30:31.640 --> 0:30:33.920
<v Speaker 1>But we haven't looked at where there were you know,

0:30:34.120 --> 0:30:37.120
<v Speaker 1>influenza deaths and where there were mass transit systems, and

0:30:37.120 --> 0:30:40.120
<v Speaker 1>this is over a hundred cities that there's no relationship

0:30:40.120 --> 0:30:44.440
<v Speaker 1>to between mass transit use and the death from influenza.

0:30:44.520 --> 0:30:47.120
<v Speaker 1>So we really can't talk about anyone individual. We can

0:30:47.200 --> 0:30:50.560
<v Speaker 1>say that the ridership of mass transit does not connect

0:30:50.920 --> 0:30:54.320
<v Speaker 1>in any form to the youth to the death by influenza, right,

0:30:54.360 --> 0:30:57.400
<v Speaker 1>because it's people's immune system and it's how they react,

0:30:57.520 --> 0:31:01.600
<v Speaker 1>and it's how influenza influences one person versus another person.

0:31:01.800 --> 0:31:04.680
<v Speaker 1>Wouldn't that be the same for COVID? Well, I think

0:31:04.720 --> 0:31:06.880
<v Speaker 1>this is a great question for which you know, our

0:31:06.920 --> 0:31:09.840
<v Speaker 1>knowledge of COVID is one year old. You know, last spring,

0:31:09.880 --> 0:31:12.600
<v Speaker 1>everybody though it with surfaces. Now we're finding out it's

0:31:12.720 --> 0:31:15.120
<v Speaker 1>much more air, so I think you know, and every

0:31:15.200 --> 0:31:17.960
<v Speaker 1>human being, I think it's your point out is affected

0:31:17.960 --> 0:31:20.240
<v Speaker 1>by the COVID very differently. If they ask any of

0:31:20.240 --> 0:31:22.320
<v Speaker 1>the emergency room doctors, they will be the first to

0:31:22.360 --> 0:31:26.240
<v Speaker 1>tell you that patients experience the virus and their different

0:31:26.240 --> 0:31:29.200
<v Speaker 1>parts of their systems. Sometimes it's breathing, sometimes it's hard,

0:31:29.400 --> 0:31:32.200
<v Speaker 1>you know, it's very It affects people so differently that

0:31:32.240 --> 0:31:34.000
<v Speaker 1>I'm not sure we can make a judgment and stuff.

0:31:34.280 --> 0:31:37.000
<v Speaker 1>You know, how actually people are going to be affected

0:31:37.000 --> 0:31:40.160
<v Speaker 1>by any one particular a bout of the virus because

0:31:40.200 --> 0:31:43.680
<v Speaker 1>their own composition, remember their age, their underlying conditions affect

0:31:43.680 --> 0:31:47.280
<v Speaker 1>how it affects them. So, professor, just the next thirty seconds, Um,

0:31:47.400 --> 0:31:50.240
<v Speaker 1>have you discussed this with the city and what's the

0:31:50.480 --> 0:31:52.960
<v Speaker 1>as mt A had any response to the study. Well,

0:31:52.960 --> 0:31:55.520
<v Speaker 1>the m t A has taken a very aggressive approach

0:31:55.560 --> 0:31:59.840
<v Speaker 1>to having masks being required, and the ridership shows wearing

0:31:59.840 --> 0:32:02.320
<v Speaker 1>the I think the mt is very familiar with the

0:32:02.360 --> 0:32:05.240
<v Speaker 1>study because they have actually been very aggressive not only

0:32:05.320 --> 0:32:08.640
<v Speaker 1>enforcing the mass requirement but in sanitizing. That's why the

0:32:08.680 --> 0:32:11.120
<v Speaker 1>stations are closed at night and the cars are cleaned,

0:32:11.160 --> 0:32:13.960
<v Speaker 1>and so they're doing what they can do. Now. They've

0:32:13.960 --> 0:32:15.440
<v Speaker 1>had a lot of loss of death of some of

0:32:15.480 --> 0:32:18.160
<v Speaker 1>them people who work in the transit union, because they

0:32:18.200 --> 0:32:20.920
<v Speaker 1>have been in vulnerable situations where they're interacting with people.

0:32:21.160 --> 0:32:23.480
<v Speaker 1>But I think what's amazing is that the m t

0:32:23.640 --> 0:32:27.600
<v Speaker 1>A has recognized this is why they've aggressively spend a

0:32:27.600 --> 0:32:30.880
<v Speaker 1>lot of money and the continuity including stations and the

0:32:30.920 --> 0:32:34.160
<v Speaker 1>cars the mask requirement that has been the best example

0:32:34.200 --> 0:32:37.160
<v Speaker 1>of their success. The the amount of use of the

0:32:37.160 --> 0:32:39.160
<v Speaker 1>mask is greater than that on the sidewalks of New

0:32:39.200 --> 0:32:43.000
<v Speaker 1>York City. Yeah, it's fascinating. We have to thank you

0:32:43.040 --> 0:32:44.720
<v Speaker 1>for us or I hope you come back. I would

0:32:44.760 --> 0:32:48.200
<v Speaker 1>love to continue to chat with you as this progressive professor.

0:32:48.640 --> 0:32:50.840
<v Speaker 1>Mitchell Mass, Director of the n y U Rooten Center

0:32:50.880 --> 0:32:55.800
<v Speaker 1>for Transportation and Policy Management. Thanks for listening to the

0:32:55.800 --> 0:32:59.600
<v Speaker 1>Bloomberg Markets podcast. You can subscribe and listen to interviews

0:32:59.600 --> 0:33:02.920
<v Speaker 1>at Apple, Old Podcasts, or whatever a podcast platform you prefer.

0:33:03.160 --> 0:33:06.160
<v Speaker 1>I'm Bonnie Quinn. I'm on Twitter at Bonnie Quinn, and

0:33:06.200 --> 0:33:08.800
<v Speaker 1>I'm Paul Sweeney. I'm on Twitter at pt Sweeney. Before

0:33:08.840 --> 0:33:11.680
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0:33:11.760 --> 0:33:12.000
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