WEBVTT - SYSK Selects: Will Computers Replace Doctors?

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<v Speaker 1>Hey, everybody, it's me Josh and for this week's s

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<v Speaker 1>Y s K Selex, I've chosen will computers replaced doctors.

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<v Speaker 1>It's an episode so dated I still wore a fitbit

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<v Speaker 1>when we recorded it. No, but seriously, it is a

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<v Speaker 1>really interesting episode. And even though we recorded it years ago,

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<v Speaker 1>the stuff that we're talking about still quite hasn't come

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<v Speaker 1>to fruition. So sit back and enjoy this peek into

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<v Speaker 1>the future. Welcome to Stuff you should know, a production

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<v Speaker 1>of My Heart Radios How Stuff Works. Hey, and welcome

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<v Speaker 1>to the podcast. I'm Josh Clark. There's Charles W. Chuck Bryant,

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<v Speaker 1>our guest producer Noel is here. Yeah, Jerry needs a

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<v Speaker 1>buffer day from her Christmas break. I can't say that again. No,

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<v Speaker 1>she's at home on her buffer day. And the freezing

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<v Speaker 1>cold because we record these somewhat in advance, we are

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<v Speaker 1>in the midst of the polar vortex and um, yeah,

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<v Speaker 1>everyone's just talking about how cold it is. We're back.

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<v Speaker 1>It is our first recording after the holidays. It's literally

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<v Speaker 1>freezing cold up. So welcome back, buddy. Thanks, Welcome back

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<v Speaker 1>to you too. Even though this will be what like

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<v Speaker 1>late January, it will be a balmy sixteen. I think

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<v Speaker 1>the end of the end of January. When is when

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<v Speaker 1>this one comes out? All right, Well, happy New Year

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<v Speaker 1>and happy New Year to YouTube, and happy holidays to you.

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<v Speaker 1>Thanks um Chuck, Yes, sir, you're feeling good. You're loose,

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<v Speaker 1>You're ready. I'm loose. So you see this, you've seen

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<v Speaker 1>this before. Yeah, your Fitbit, My fit bit is that

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<v Speaker 1>buzz marketing. Not really, It's just a really good example. Um.

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<v Speaker 1>I feel like fit Bit. I'm not like necessarily loyal

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<v Speaker 1>to it or anything like that. They don't pay me

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<v Speaker 1>money to mention the podcast. Sometimes I'll just be like,

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<v Speaker 1>stop staring at me. Fit Bit. Yeah, um, but no,

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<v Speaker 1>I like it. I'm happy with it. Um I I

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<v Speaker 1>pointed out though, because it's part of this to me,

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<v Speaker 1>and I don't think it's over confirmation bias. It seems

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<v Speaker 1>like there really is a growing desire among just average

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<v Speaker 1>ordinary people to be able to track there their health,

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<v Speaker 1>their well being, their activity. Um, and to do it easily. Yeah,

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<v Speaker 1>we have tools now that make it like that thing

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<v Speaker 1>super convenient. Yeah, it's in fit It's not the only one.

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<v Speaker 1>There's like Nike fuel Band. There's Jawbone is another really

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<v Speaker 1>good one. There's others like um that track uh, your

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<v Speaker 1>galvanic response, so they're able to put that together with

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<v Speaker 1>respiration and heartbeat and come up with a pretty good

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<v Speaker 1>assessment of how many calories you're burning at any given time,

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<v Speaker 1>which is like kind of a holy grail with this

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<v Speaker 1>kind of thing right now. Um, there's others that track

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<v Speaker 1>your sleep. There's apps out there that let you, um

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<v Speaker 1>track your mood. Um. There's sites like quantified self, which

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<v Speaker 1>are basically like people trying to push wearable technology like

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<v Speaker 1>this further into the future. There's entire websites like share

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<v Speaker 1>care dot com that are dedicated to health information and

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<v Speaker 1>health um uh support yeah, self advocacy, yeah. And and

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<v Speaker 1>there's this It seems to me, this desire to kind

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<v Speaker 1>of say, hey, this is my health, this is my body.

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<v Speaker 1>I want to know more about it, you know, totally

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<v Speaker 1>Like I don't want to necessarily cut out doctors, but

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<v Speaker 1>I I want to decide if I should go to

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<v Speaker 1>the doctor, if it's time or not, and I want

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<v Speaker 1>to use data to do that. Yeah. I imagine I

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<v Speaker 1>frustrate a lot of doctors because I'm one of those

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<v Speaker 1>obnoxious people that goes in and it's like, well, here's

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<v Speaker 1>what I think I have based on my research. There's

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<v Speaker 1>nothing wrong with that. Yeah, that is what you're an

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<v Speaker 1>informed patient. That's true, exactly what you're supposed to do.

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<v Speaker 1>And if you're getting on your doctor's nerves, then go

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<v Speaker 1>see another doctor. Uh yeah, I agree. Actually in search

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<v Speaker 1>of a new GP right now for those because and

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<v Speaker 1>others you got on his nerves. Other reasons too, really

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<v Speaker 1>cold cold hands now like poor bedside manner, never seen

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<v Speaker 1>the doctor Like here's my intern from Emory. Yeah, which great.

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<v Speaker 1>You know. I love them getting experienced, but I would

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<v Speaker 1>like them both to be in there, not just like

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<v Speaker 1>smell you later and the doctor leaves. Well that's another

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<v Speaker 1>thing too. It's kind of like, um, doctor, okay, let's

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<v Speaker 1>let's just lay it on on the table here. What

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<v Speaker 1>what you've just mentioned and what I was talking about,

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<v Speaker 1>if you put it all together. The medical field, physicians

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<v Speaker 1>in particular, are currently in a what's the beginning of

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<v Speaker 1>what's possibly a really pickle of a state for them.

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<v Speaker 1>I think a transition period, yes, but they may be

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<v Speaker 1>transitioned right out of existence in large parts. Yes, I

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<v Speaker 1>may for sure, depending on who you talk to. There's

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<v Speaker 1>like this whole question now, like, what is the future

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<v Speaker 1>of medicine, and more specifically, in the case of this

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<v Speaker 1>episode that we're talking about, do human physicians factor largely

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<v Speaker 1>into that future? And the answer is no, yeah, depending

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<v Speaker 1>on who you ask, Like I said, um, we there's

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<v Speaker 1>this one guy, Dr Kent Bottles, who um, he feels

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<v Speaker 1>that GPS might go the way of the Dodo and

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<v Speaker 1>be replaced by diagnostic computers, maybe with avatars. Then there's

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<v Speaker 1>other people like farhad Manjou is a technical writer, his

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<v Speaker 1>wife as a pathologist. He thinks, no, no, no, the

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<v Speaker 1>GPS are the ones that are going to be in business.

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<v Speaker 1>The specialists are gonna be out of business because computers

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<v Speaker 1>are really good at specializing on one single thing, not

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<v Speaker 1>maybe so good at a general practitioner thing. So there's

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<v Speaker 1>lots of opinions out there on how much they'll be

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<v Speaker 1>replaced and who might be replaced. Right then, as a

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<v Speaker 1>reclient wrote a column who basically he basically said like now, like,

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<v Speaker 1>we we will still need humans, but we mainly need

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<v Speaker 1>humans to communicate to the other humans and facilitate the

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<v Speaker 1>the interaction between the robots and the humans, and we

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<v Speaker 1>already have this. They're called nurses or a nurse practitioners.

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<v Speaker 1>He kind of as reclined, is the one that thought

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<v Speaker 1>that a computer avatar might have a better bedside manner

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<v Speaker 1>than a doctor. Well, let's give that one example. There's this,

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<v Speaker 1>there was there's an example I kept finding while we

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<v Speaker 1>were doing research for this, and it's actually in the

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<v Speaker 1>article on how stuff works. Um, it's uh. There was

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<v Speaker 1>a kiosk, a medical kiosk, during a panel called man

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<v Speaker 1>Made Minds colon Living with Thinking Machines. When there's a

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<v Speaker 1>colon in there, you know it's serious stuff. Um. And

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<v Speaker 1>it was at the World Science Festival in two thousand

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<v Speaker 1>and eleven. And basically, this, this computerized avatar um interacted

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<v Speaker 1>with a woman whose baby had diarrhea, and the woman said, hey, Avatar,

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<v Speaker 1>my baby has diarrhea. What are you going to do

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<v Speaker 1>about it? And the avatar said, well, tell me all

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<v Speaker 1>the symptoms and all this stuff, and avatar decided that

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<v Speaker 1>the baby's diarrhea, while present, wasn't severe enough to warrant

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<v Speaker 1>immediate medical attention, so it went ahead and made an

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<v Speaker 1>appointment with a hue and doctor for later on that week,

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<v Speaker 1>and the mother said that she preferred the treatment by

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<v Speaker 1>the avatar to the real life nurses at the hospitals

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<v Speaker 1>where she lived in New York. Yeah. Uh so it

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<v Speaker 1>is possible to create computers with better bedside manner than say,

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<v Speaker 1>your g P. Well, it's at the very least it

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<v Speaker 1>will be consistent. And that's one of the things that

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<v Speaker 1>I'm not poopooing. Doctors or nurses are many, many, many,

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<v Speaker 1>many great ones, but I've also had some pretty bad

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<v Speaker 1>experiences in emergency rooms and with doctors and nurses. With

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<v Speaker 1>a computer, at least it's a consistent you know, their

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<v Speaker 1>program to display empathy no matter what. You know, they're

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<v Speaker 1>not too busy and they're not, you know, having a

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<v Speaker 1>bad day, so they don't you know, they don't have

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<v Speaker 1>any prejudices against you personally or anything like that. Their computer.

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<v Speaker 1>They don't hate diarrhea. But humans, humans respond to even

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<v Speaker 1>programmed empathy, even synthetic empathy from a a computer. I

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<v Speaker 1>could see that a little bit. Like I've dove into

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<v Speaker 1>the gaming world enough to know that, you know, the

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<v Speaker 1>realism of a of a avatar can be convincing, and

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<v Speaker 1>it's not like you think, oh, it's a real person,

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<v Speaker 1>but it helps to put a human face on it,

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<v Speaker 1>you know, exactly. Literally, Um, they I saw a reference

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<v Speaker 1>to a study that found um, people who are being

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<v Speaker 1>treated for anxiety disorders tended to share more about their

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<v Speaker 1>experiences and themselves with an avatar them with a human psychiatrists.

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<v Speaker 1>Oh that's interesting because they're like not embarrassed to tell

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<v Speaker 1>a real person. Yeah, that makes sense, I might open

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<v Speaker 1>up more to to a computer. Right, So so we've

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<v Speaker 1>got that part, like the bedside manner. It is possible

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<v Speaker 1>that we can create machines now and are creating machines

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<v Speaker 1>now that have at least equal, if not better bedside

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<v Speaker 1>manner than some physicians. Yeah, okay, so bedside manner one

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<v Speaker 1>of the big things that doctors bring to the table.

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<v Speaker 1>Check computers have that. Yeah, it's it's different now than

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<v Speaker 1>it was in the old days. I feel like just

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<v Speaker 1>the whole quality of personal care is gone down. It's

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<v Speaker 1>not necessarily the doctor's falter. There's a lot of reasons

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<v Speaker 1>to place the blame. But it's not like when you

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<v Speaker 1>were a kid and you feel like you had your

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<v Speaker 1>family doctor who knew you, maybe even gave birth birth

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<v Speaker 1>you're my son exactly. Um, it just invested like you

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<v Speaker 1>gotta stick with the same doctor if you want that

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<v Speaker 1>kind of care, I think, right. And there's another benefit

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<v Speaker 1>besides bedside banner UM that comes with that that kind

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<v Speaker 1>of care, that kind of personal care is an awareness

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<v Speaker 1>of your medical history. Yeah, not just that, but oh well,

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<v Speaker 1>your dad died of congenital heart disorders like that, so

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<v Speaker 1>you may be at higher risk of it. To just

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<v Speaker 1>that kind of awareness has been typically lost to even

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<v Speaker 1>though we have medical histories and they're in our charts

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<v Speaker 1>that they're in our files UM, and intimate knowledge of

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<v Speaker 1>a patients UM medical history is pretty much lost in

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<v Speaker 1>today's modern practice of medicine. Yeah. UM. That's another thing

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<v Speaker 1>that that computers could conceivably top doctors on UM, which

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<v Speaker 1>basically falls under the umbrella of diagnosis or diagnostics. Yeah.

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<v Speaker 1>I mean there's two two sides to this. There's diagnoses

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<v Speaker 1>and treatment and some UH programs. A little bit of

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<v Speaker 1>the history this UM goes back to the nineteen seventies.

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<v Speaker 1>At the University of Pittsburgh, they develop software to diagnose problems. UM.

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<v Speaker 1>MASS General since the eighties has been working on their

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<v Speaker 1>d X plan, which provides ranked list of diagnoses. Whereas

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<v Speaker 1>the what's the computer the M Watson Watson who who

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<v Speaker 1>won at jeopardy. Yeah, that's more based. Um, it looks

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<v Speaker 1>like on treatment options than diagnosis at this point. So

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<v Speaker 1>they're using these well yeah, but they said it's not

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<v Speaker 1>they haven't. I don't think they want to leave it

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<v Speaker 1>alone with diagnosis yet. No, and to do its thing.

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<v Speaker 1>There's already something out there for diagnosis that's meant to

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<v Speaker 1>support physicians. From what I understand with Watson, if there

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<v Speaker 1>is a doctor of the future, it's Watson. Um. He

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<v Speaker 1>has a lot of advantages over not just um human doctors,

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<v Speaker 1>but other artificial intelligence healthcare machines. I guess you could

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<v Speaker 1>clumsily call it. He has a knack for natural language.

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<v Speaker 1>So let's say there's like a structured formula or formulaic

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<v Speaker 1>type of language that the medical field is supposed to use, right, yes, okay, Um,

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<v Speaker 1>health records don't always necessarily contain that language. They might

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<v Speaker 1>contain natural language, which is really confusing for computers to

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<v Speaker 1>take in an absorb. Yeah, you know, the humans can

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<v Speaker 1>pick up on meanings of things that robots and and

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<v Speaker 1>software cannot, like inferences, and we might be using sarcasm,

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<v Speaker 1>although there's probably not going to be any sarcasm in

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<v Speaker 1>your medical records. Yeah, but like figurative language and stuff

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<v Speaker 1>like that, but computers a language is a big part

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<v Speaker 1>of the problem. Or more to the point, with the diagnosis,

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<v Speaker 1>patient says he feels like he has a hive of

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<v Speaker 1>bees in his stomach, Like that might mean something that

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<v Speaker 1>you or me, but to a computer it's like followed

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<v Speaker 1>a bunch of bees or something. Right, Watson has the

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<v Speaker 1>advantage of saying, Okay, well, there's a sensation of bees

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<v Speaker 1>in the stomach, there's not actually bees in the stomach,

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<v Speaker 1>So let's figure this out then, Watson, or anything that

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<v Speaker 1>that he eventually becomes UM, well, we'll be able to

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<v Speaker 1>go through medical records, current medical research, UM, the patient's

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<v Speaker 1>medical history, UH, diagnostic tests that were done, blood work, UM,

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<v Speaker 1>instrument tests, and put it all together there and then

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<v Speaker 1>spit out a list of diagnoses with different confidence levels.

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<v Speaker 1>So the one at the top is the one that

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<v Speaker 1>Watson says is he is ninety eight point seven percent

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<v Speaker 1>sure is what's wrong with this patient? And UM as

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<v Speaker 1>a diagnostician, that's pretty impressive, and that's using all the

0:13:21.200 --> 0:13:26.720
<v Speaker 1>available data that's that's available also to human physicians, but

0:13:26.800 --> 0:13:30.600
<v Speaker 1>they simply don't have the time to take it all

0:13:30.679 --> 0:13:33.880
<v Speaker 1>in Yeah. I think some research said that eighty per

0:13:34.200 --> 0:13:37.560
<v Speaker 1>of doctors spend less than five hours a week reading

0:13:37.640 --> 0:13:42.640
<v Speaker 1>medical journals a month a month. Yeah, so that's these

0:13:42.679 --> 0:13:46.280
<v Speaker 1>things can read thousands in seconds. So it's it's sort

0:13:46.320 --> 0:13:50.120
<v Speaker 1>of a matter of of efficiency really, and like if

0:13:50.160 --> 0:13:53.080
<v Speaker 1>doctors don't have time to read all this stuff, I know,

0:13:53.160 --> 0:13:56.640
<v Speaker 1>we we looked into this one sort of a savant

0:13:56.800 --> 0:14:02.240
<v Speaker 1>diagnoser is that a word? I don't gnostician? Diagnostician? Uh

0:14:02.360 --> 0:14:06.599
<v Speaker 1>doctor uh Dolly Wall in San Francisco. He's sort of

0:14:06.679 --> 0:14:10.320
<v Speaker 1>legendary for diagnosing things, to the point where he does

0:14:10.320 --> 0:14:12.520
<v Speaker 1>it on stage as almost like a parlor trick. I

0:14:12.520 --> 0:14:14.160
<v Speaker 1>would love to see it. I would too. They give

0:14:14.240 --> 0:14:18.559
<v Speaker 1>him forty five minutes and and a bunch of symptoms

0:14:18.559 --> 0:14:22.200
<v Speaker 1>basically like really confusing because they're trying to stump him,

0:14:22.240 --> 0:14:25.880
<v Speaker 1>and generally he comes out on top. But he even

0:14:26.000 --> 0:14:29.400
<v Speaker 1>uses a program, a diagnostic program called isabel Right, that's

0:14:29.400 --> 0:14:32.360
<v Speaker 1>the one I said earlier, that's already here. Yeah, so

0:14:32.600 --> 0:14:35.200
<v Speaker 1>doctors are using these to help themselves out. But he

0:14:35.240 --> 0:14:39.400
<v Speaker 1>says that he's never had Isabelle offered diagnosis that he

0:14:39.520 --> 0:14:43.120
<v Speaker 1>has missed, but he's like the dude, Yeah, and He

0:14:43.160 --> 0:14:46.360
<v Speaker 1>also admits that he's like, like, I'm a freak of nature, right,

0:14:46.400 --> 0:14:49.120
<v Speaker 1>go ahead, quiz me exactly. Yeah. He also reads like

0:14:49.400 --> 0:14:52.600
<v Speaker 1>case histories, like for fun, that kind of stuff. He's not,

0:14:53.200 --> 0:14:57.520
<v Speaker 1>he's not a normal physician. He's a complete and total outlier. Um,

0:14:58.320 --> 0:15:01.480
<v Speaker 1>if he were, if every physician we're like this guy,

0:15:01.960 --> 0:15:05.440
<v Speaker 1>then they're there. Probably wouldn't be this conversation going on

0:15:05.600 --> 0:15:09.320
<v Speaker 1>right now. But most physicians aren't. And it's not just

0:15:09.440 --> 0:15:12.160
<v Speaker 1>with current medical research that they're just not aware of

0:15:12.160 --> 0:15:13.960
<v Speaker 1>because they haven't had time to pick up the lance

0:15:13.960 --> 0:15:16.800
<v Speaker 1>at the last few months, but it's also their training

0:15:16.840 --> 0:15:19.080
<v Speaker 1>to Like if a doctors in practice for twenty years,

0:15:19.360 --> 0:15:23.640
<v Speaker 1>the brain and the human brain tends to create habits

0:15:23.680 --> 0:15:26.440
<v Speaker 1>because it likes to expend as little energy as possible.

0:15:26.720 --> 0:15:29.320
<v Speaker 1>It's it's trying to be as ficient as possible. And

0:15:29.360 --> 0:15:32.680
<v Speaker 1>I think the same thing happens with medical practice. You're trained,

0:15:32.760 --> 0:15:35.120
<v Speaker 1>you understand, you come out of medical school with a

0:15:35.160 --> 0:15:37.560
<v Speaker 1>lot of book learning, and then you put it to

0:15:37.600 --> 0:15:40.000
<v Speaker 1>practice and you kind of find your niche and along

0:15:40.000 --> 0:15:41.640
<v Speaker 1>the way you forget a lot of the stuff that

0:15:41.720 --> 0:15:43.840
<v Speaker 1>you haven't done in twenty years or haven't learned about

0:15:43.880 --> 0:15:46.280
<v Speaker 1>in twenty years, so it's not just current stuff, it's

0:15:46.320 --> 0:15:49.200
<v Speaker 1>old stuff too. And if you feed the physician's desk

0:15:49.240 --> 0:15:53.440
<v Speaker 1>reference into Watson or one of his his compatriots, like,

0:15:53.840 --> 0:15:56.640
<v Speaker 1>all of that knowledge can be quickly index in research

0:15:56.720 --> 0:16:00.800
<v Speaker 1>to try to spit out a more accurate diagnosed. Yeah.

0:16:00.880 --> 0:16:03.480
<v Speaker 1>I think that's a great idea. It's like a partnering

0:16:03.560 --> 0:16:08.200
<v Speaker 1>up with computers. It is sarily replacing, but what they're

0:16:08.240 --> 0:16:11.080
<v Speaker 1>doing with Watson is is very much moving towards replacing

0:16:11.120 --> 0:16:14.080
<v Speaker 1>doctors in that sense. Well, here's a scary stat um.

0:16:14.120 --> 0:16:16.840
<v Speaker 1>One in five diagnoses in the United States are incorrect

0:16:16.920 --> 0:16:21.120
<v Speaker 1>or incomplete one in five and a lot of times

0:16:21.120 --> 0:16:23.400
<v Speaker 1>it's not that the doctor is a jerk or not

0:16:23.480 --> 0:16:26.440
<v Speaker 1>any good, but like you said, they just maybe haven't

0:16:26.720 --> 0:16:30.080
<v Speaker 1>seen these cases that were written about in some obscure

0:16:30.120 --> 0:16:33.600
<v Speaker 1>medical journal that the computer has scanned an index, you know.

0:16:33.920 --> 0:16:39.000
<v Speaker 1>And Dolly Wall Dr Dolly Wall himself at Freak Diagnostician Dollywood, Yeah,

0:16:39.080 --> 0:16:41.440
<v Speaker 1>pretty close, which is a wonderful place, by the way,

0:16:41.480 --> 0:16:45.440
<v Speaker 1>I know you love Dollywood. Um. Dr Dolly wall Uh

0:16:45.960 --> 0:16:49.120
<v Speaker 1>himself says a lot even with me, A lot of

0:16:49.160 --> 0:16:53.640
<v Speaker 1>it is intuition, and intuition can be wrong. That's a

0:16:53.720 --> 0:16:58.400
<v Speaker 1>criticism though, of computers as doctors. They lack intuition. Like,

0:16:59.000 --> 0:17:03.120
<v Speaker 1>there's kind of even larger, even larger than this computer's

0:17:03.160 --> 0:17:08.280
<v Speaker 1>replacing doctor's conversation going on. It's kind of a conversation

0:17:08.400 --> 0:17:12.800
<v Speaker 1>or a debate over whether intuition or data. Yeah, trump's

0:17:12.920 --> 0:17:15.920
<v Speaker 1>one or the other. Which one is the right way

0:17:15.960 --> 0:17:19.440
<v Speaker 1>to go? Yeah? This one stat too, it says according

0:17:19.440 --> 0:17:21.040
<v Speaker 1>to an expert, I'm not sure what that means. It

0:17:21.040 --> 0:17:24.320
<v Speaker 1>sounds sinky, but they said, only of the knowledge of

0:17:24.359 --> 0:17:30.040
<v Speaker 1>physicians use to diagnose is evidence based, So that means

0:17:30.119 --> 0:17:33.919
<v Speaker 1>is intuition, which which also jibs and dovetails with that

0:17:33.960 --> 0:17:37.320
<v Speaker 1>one in five being wrong, I mean, or one in

0:17:37.400 --> 0:17:40.040
<v Speaker 1>five being right. I'd like the idea of intuition to

0:17:40.080 --> 0:17:42.720
<v Speaker 1>a certain degree for sure, but there's also got to

0:17:42.760 --> 0:17:47.040
<v Speaker 1>be like data backing it up. Sure, you know, so

0:17:47.600 --> 0:17:49.560
<v Speaker 1>in your perfect world. And it sounds like we still

0:17:49.600 --> 0:17:52.320
<v Speaker 1>have physicians, but they go back and double check themselves

0:17:52.960 --> 0:17:56.639
<v Speaker 1>using a program. Yeah, but I could also be down

0:17:56.720 --> 0:17:59.800
<v Speaker 1>with um simple what is it? What do they call

0:17:59.840 --> 0:18:08.200
<v Speaker 1>it here? Um? Something based diseases, rules based chronic diseases. Yeah,

0:18:08.240 --> 0:18:11.320
<v Speaker 1>like minor things that are pretty easy to diagnose. They're

0:18:11.359 --> 0:18:14.720
<v Speaker 1>not even necessarily minor. We just understand them so fully

0:18:14.760 --> 0:18:17.480
<v Speaker 1>that we say type two diabetes is going to behave

0:18:17.520 --> 0:18:19.840
<v Speaker 1>and present itself like this. Yeah, but I wouldn't mind

0:18:19.840 --> 0:18:22.520
<v Speaker 1>going like it seems like once a year I get

0:18:22.560 --> 0:18:24.560
<v Speaker 1>like an upper respiratory infection. It's been three or four

0:18:24.640 --> 0:18:27.199
<v Speaker 1>years in a row, and I know what the treatment is,

0:18:27.240 --> 0:18:29.399
<v Speaker 1>I know how it feels. It would be great to

0:18:29.400 --> 0:18:33.159
<v Speaker 1>go into a machine and have them take some stats

0:18:33.200 --> 0:18:36.280
<v Speaker 1>and blow into it and hear my wheezing and give

0:18:36.320 --> 0:18:41.040
<v Speaker 1>me a a steroid shot and a Z pack and

0:18:41.160 --> 0:18:43.600
<v Speaker 1>a breathing treatment and send me on my way. So

0:18:43.600 --> 0:18:45.280
<v Speaker 1>it's always what clears it up. Would you care if

0:18:45.320 --> 0:18:48.000
<v Speaker 1>it was a robot that gave you that shot? Not

0:18:48.080 --> 0:18:52.959
<v Speaker 1>at all, um, but I definitely would want more personal

0:18:53.000 --> 0:18:54.879
<v Speaker 1>care if it was something what if it was a

0:18:54.960 --> 0:18:59.080
<v Speaker 1>robot with a nice avatar, sexy avatar maybe or just

0:18:59.160 --> 0:19:01.680
<v Speaker 1>a friendly one. Yeah, that was a little, a little,

0:19:01.680 --> 0:19:04.000
<v Speaker 1>a little it would touch your forearm here there. Yeah,

0:19:04.040 --> 0:19:07.280
<v Speaker 1>well that might be a little creepy. Yeah, if like

0:19:07.520 --> 0:19:09.240
<v Speaker 1>it was an old timey doctor who like gave you

0:19:09.280 --> 0:19:12.199
<v Speaker 1>some epocac if you had diarrhea, just send you on

0:19:12.200 --> 0:19:14.560
<v Speaker 1>your way drink a coke, but it wouldn't send you

0:19:14.560 --> 0:19:16.159
<v Speaker 1>on your way to give you ipocac and then it

0:19:16.200 --> 0:19:19.920
<v Speaker 1>wouldn't let go of your forearm. Yeah, so strong well

0:19:20.440 --> 0:19:22.720
<v Speaker 1>surgical robots. That's a that's a thing. I mean, we're

0:19:22.760 --> 0:19:27.439
<v Speaker 1>kidding around, but they've been performing. They've been performing robotic

0:19:27.480 --> 0:19:32.600
<v Speaker 1>surgery since the early eighties, um doctor assisted until two

0:19:32.600 --> 0:19:35.000
<v Speaker 1>thousand ten, where they were in Montreal. They performed the

0:19:35.040 --> 0:19:40.640
<v Speaker 1>first fully robotic surgeries when they removed a prostate with

0:19:40.760 --> 0:19:47.400
<v Speaker 1>a fully robotic UH surgeon and fully robotic anesthesiologist Dr

0:19:47.520 --> 0:19:50.400
<v Speaker 1>mc sleepy. Dr mc sleepy. Yeah, and the the that's

0:19:50.440 --> 0:19:52.880
<v Speaker 1>the real name the robot surgeon was da Vinci, which

0:19:52.880 --> 0:19:57.240
<v Speaker 1>is like the basically gold standard for robotic surgical or

0:19:57.240 --> 0:20:02.919
<v Speaker 1>surgical robots. Yeah, they had to that thirty thousand robotic

0:20:03.000 --> 0:20:05.919
<v Speaker 1>surgeries performed in the US, So it's it's big, it

0:20:06.119 --> 0:20:09.440
<v Speaker 1>is and um but the da Vinci is a doctor

0:20:10.000 --> 0:20:12.960
<v Speaker 1>basically sitting in a little uh it looks like an

0:20:13.119 --> 0:20:18.879
<v Speaker 1>arcade game and using UM robotic arms to mimic his

0:20:19.040 --> 0:20:23.080
<v Speaker 1>or her movements on more microscopic levels. Right, So the

0:20:23.240 --> 0:20:26.480
<v Speaker 1>robot has more precise movements and can make smaller movements,

0:20:27.200 --> 0:20:30.600
<v Speaker 1>um than the doctor. It's tell it's and what's the

0:20:30.640 --> 0:20:35.800
<v Speaker 1>opposite of telescoping, like going downward in scale? Whatever that is.

0:20:35.880 --> 0:20:38.600
<v Speaker 1>It's taking the movements of the doctor and reducing them

0:20:38.600 --> 0:20:43.720
<v Speaker 1>in scale. Let's call it reverse telescoping, reverse telescoping those movements, um,

0:20:43.720 --> 0:20:46.560
<v Speaker 1>which is a pretty awesome achievement in and of itself.

0:20:46.800 --> 0:20:51.359
<v Speaker 1>That doctors being fed three d um graphics of what

0:20:51.560 --> 0:20:54.719
<v Speaker 1>the robot is seeing, uh, and just kind of working

0:20:54.720 --> 0:20:59.679
<v Speaker 1>from there. Uh. What we're moving towards apparently is fully

0:21:01.240 --> 0:21:04.720
<v Speaker 1>robotic size surgeries. I was talking to Joe McCormick from

0:21:04.760 --> 0:21:08.280
<v Speaker 1>Forward Thinking and he was saying that, um, there was

0:21:09.000 --> 0:21:13.040
<v Speaker 1>there's something called the Raven four, I believe. Uh. And

0:21:13.080 --> 0:21:15.520
<v Speaker 1>basically you just say, this is going to be a

0:21:15.560 --> 0:21:20.280
<v Speaker 1>gall bladder surgery on a six ft six male age

0:21:20.680 --> 0:21:24.160
<v Speaker 1>you know whatever. And here's his here's the cat scan

0:21:24.320 --> 0:21:28.639
<v Speaker 1>of his abdomen um. So go removes gall bladder and

0:21:28.680 --> 0:21:31.080
<v Speaker 1>you press enter and the thing goes in there and

0:21:31.119 --> 0:21:34.520
<v Speaker 1>like removes the guy's gall bladder and sews him up. Yeah,

0:21:34.760 --> 0:21:40.520
<v Speaker 1>that's fully robotic, like fully autonomous robotic surgery. Button then

0:21:40.520 --> 0:21:42.800
<v Speaker 1>it does it. You're not actually controlling a machine that

0:21:42.880 --> 0:21:46.240
<v Speaker 1>does it exactly the machines doing it at your behest,

0:21:46.320 --> 0:21:49.200
<v Speaker 1>but you're not controlling it. Yeah. Um, and we're right

0:21:49.240 --> 0:21:51.400
<v Speaker 1>on the cusp of that, and apparently it's already happening.

0:21:52.240 --> 0:21:55.760
<v Speaker 1>Uh yeah, but there are some issues. UM. I looked

0:21:55.760 --> 0:21:59.280
<v Speaker 1>into it and found that a lot of injury reporting

0:21:59.280 --> 0:22:04.080
<v Speaker 1>and robotics agery is um not being reported. It's it's substandard.

0:22:04.720 --> 0:22:08.520
<v Speaker 1>And uh, this woman, Sheina Wilson, had robotic surgery for

0:22:08.600 --> 0:22:13.760
<v Speaker 1>hysterectomy in two thousand thirteen and apparently this uh intuitive

0:22:13.760 --> 0:22:17.320
<v Speaker 1>surgical system had there had been a bunch of injuries

0:22:18.000 --> 0:22:20.360
<v Speaker 1>that she didn't know about, and she had her rectum

0:22:20.359 --> 0:22:24.479
<v Speaker 1>burned badly and said, if I would have known that

0:22:24.520 --> 0:22:28.199
<v Speaker 1>this system had these issues, would not have elected to

0:22:28.240 --> 0:22:31.200
<v Speaker 1>take part in it. So there's a lot of under reporting. Um.

0:22:31.240 --> 0:22:34.720
<v Speaker 1>The f d A, UM, they have no authority to

0:22:35.080 --> 0:22:38.760
<v Speaker 1>force a doctor to do this, and apparently there's every

0:22:38.800 --> 0:22:42.359
<v Speaker 1>reason in every link in the chain not to report

0:22:42.440 --> 0:22:46.000
<v Speaker 1>these things, you know, and the f d A not

0:22:46.280 --> 0:22:51.119
<v Speaker 1>enforcing this kind of thing, not enforcing reporting is ridiculous. Yeah.

0:22:51.200 --> 0:22:54.600
<v Speaker 1>You know. The thing is that things like that happen,

0:22:54.800 --> 0:23:00.440
<v Speaker 1>and there's under reporting. UM. With human surgic surgeons as well. Yeah, sure,

0:23:00.440 --> 0:23:04.520
<v Speaker 1>not just robotic. It's like overall, apparently surgical injury and

0:23:04.600 --> 0:23:08.119
<v Speaker 1>accident reporting is not compulsory. Yeah, and here's here's a

0:23:08.160 --> 0:23:11.800
<v Speaker 1>few points though. Counterpoints I guess is one, it's not

0:23:11.880 --> 0:23:15.040
<v Speaker 1>always the robotic component of the surgery that was the

0:23:15.080 --> 0:23:18.800
<v Speaker 1>cause to a lot of times they say they don't

0:23:18.840 --> 0:23:22.199
<v Speaker 1>know about this until like a lawsuit is filed, So

0:23:22.240 --> 0:23:24.440
<v Speaker 1>it could be weeks or months later with the physician

0:23:24.480 --> 0:23:27.679
<v Speaker 1>doesn't know about it, or the FDA might not get

0:23:27.840 --> 0:23:30.120
<v Speaker 1>report on it, and like six months later you follow

0:23:30.119 --> 0:23:32.919
<v Speaker 1>a lawsuit and that's how it comes to light. Um.

0:23:32.960 --> 0:23:35.879
<v Speaker 1>But the FDA is definitely concerned and are supposedly working

0:23:35.880 --> 0:23:41.159
<v Speaker 1>to improve this. That's very concerned. They're very concerned. Uh.

0:23:41.240 --> 0:23:43.920
<v Speaker 1>And another problem too, and that same article, a lot

0:23:43.960 --> 0:23:48.119
<v Speaker 1>of these robotic surgical systems, you still have to have

0:23:48.480 --> 0:23:51.840
<v Speaker 1>the correct amount of training. And Uh. The feeling of

0:23:51.960 --> 0:23:55.240
<v Speaker 1>some experts is that UM or at least this one guy,

0:23:55.440 --> 0:23:58.840
<v Speaker 1>Enrico Benedetti, he's a head of surgery at the University

0:23:58.840 --> 0:24:01.520
<v Speaker 1>of Illinois Chicago, UH, says a lot of it just

0:24:01.520 --> 0:24:03.520
<v Speaker 1>comes back to training. These some of these doctors aren't

0:24:03.520 --> 0:24:07.480
<v Speaker 1>getting adequately trained in these machines enough to perform this regery. Yeah,

0:24:07.880 --> 0:24:11.640
<v Speaker 1>like what happens when I do this? Oh? That happens.

0:24:12.480 --> 0:24:14.960
<v Speaker 1>That's not good. I've got another alarming stat for you

0:24:15.000 --> 0:24:18.880
<v Speaker 1>to hold on. Hold on, hold on. Before that, let's

0:24:18.880 --> 0:24:37.000
<v Speaker 1>do a message break real quick. Okay, tell me your

0:24:37.040 --> 0:24:40.359
<v Speaker 1>alarming stat al right. JOHNS. Hopkinsider a study that found

0:24:40.560 --> 0:24:44.240
<v Speaker 1>as many as forty thou patients die in intensive care

0:24:44.400 --> 0:24:49.480
<v Speaker 1>each year in the US due to misdiagnosis man and UM.

0:24:49.520 --> 0:24:53.640
<v Speaker 1>Another study found that system related factors like UH, lack

0:24:53.680 --> 0:24:57.399
<v Speaker 1>of teamworking, communication, or just poor processes were involved in

0:24:57.480 --> 0:25:04.840
<v Speaker 1>six of diagnostic error and cognitive factors, and with premature

0:25:04.880 --> 0:25:08.040
<v Speaker 1>closure is the most common, which is basically just sticking

0:25:08.040 --> 0:25:10.840
<v Speaker 1>to that initial diagnosis and not being open minded to

0:25:10.880 --> 0:25:14.120
<v Speaker 1>other like second opinions. Yeah. So there's this thing called

0:25:14.160 --> 0:25:17.879
<v Speaker 1>anchoring bias that UM was in that New York Times article.

0:25:18.400 --> 0:25:21.600
<v Speaker 1>Dr Dolly Wall the guy who created this program that's

0:25:21.720 --> 0:25:26.520
<v Speaker 1>now around to support diagnostics where a physician will say,

0:25:26.520 --> 0:25:28.280
<v Speaker 1>I think it's this, but let me put in the

0:25:28.320 --> 0:25:31.080
<v Speaker 1>symptoms and ask Isabelle Um which is the name of

0:25:31.119 --> 0:25:33.880
<v Speaker 1>the program, and it's named after the guy who created

0:25:33.920 --> 0:25:38.199
<v Speaker 1>the program's daughter. Yeah, when she was three, took her

0:25:38.200 --> 0:25:40.199
<v Speaker 1>to the hospital and the doctors said, well, she has

0:25:40.280 --> 0:25:43.320
<v Speaker 1>chicken pox. And she did indeed have chicken pox, but

0:25:43.520 --> 0:25:46.200
<v Speaker 1>that's all they looked at. They completely missed a pretty

0:25:46.280 --> 0:25:50.040
<v Speaker 1>nasty case of necrotizing fasciitis, which we've talked about before,

0:25:50.520 --> 0:25:54.760
<v Speaker 1>flesh eating bacteria, and um, she almost died from it.

0:25:54.960 --> 0:25:57.439
<v Speaker 1>It was. It was disfigured from it as a result,

0:25:57.520 --> 0:26:00.520
<v Speaker 1>so that her father, who was a money manager, said,

0:26:00.600 --> 0:26:03.640
<v Speaker 1>I'm going to take whatever computer programming skills I haven't

0:26:03.680 --> 0:26:08.160
<v Speaker 1>put it towards this program Isabelle, which is meant to say, yes,

0:26:08.200 --> 0:26:10.880
<v Speaker 1>you're right with this diagnosis, I agree with you, or

0:26:11.000 --> 0:26:14.399
<v Speaker 1>have you considered these other diagnoses? And he said, like,

0:26:14.520 --> 0:26:17.800
<v Speaker 1>had hasabel been around and his daughter's doctors consulted it,

0:26:18.040 --> 0:26:21.399
<v Speaker 1>they would not have missed the necrotizing fasciitus. Well, it

0:26:21.440 --> 0:26:24.000
<v Speaker 1>makes sense, um as an assist. You know. Um, there's

0:26:24.000 --> 0:26:27.240
<v Speaker 1>this company called Life Calm that said in clinical trials

0:26:27.320 --> 0:26:32.880
<v Speaker 1>that if you use a medical diagnostic program as an assist, Uh,

0:26:32.920 --> 0:26:37.680
<v Speaker 1>those engines were accurate without using exams or imaging or

0:26:37.760 --> 0:26:43.880
<v Speaker 1>labs even really just symptoms. Yeah, that's crazy, that's really

0:26:44.119 --> 0:26:48.600
<v Speaker 1>really really good. Yeah, like that's a that's an A,

0:26:48.800 --> 0:26:51.520
<v Speaker 1>that's a low A. It's still in a. But as

0:26:51.560 --> 0:26:53.560
<v Speaker 1>an assistant, I think it's you know, it's kind of

0:26:53.600 --> 0:26:57.159
<v Speaker 1>a no brainer, don't you think. Oh yeah, I think so.

0:26:57.280 --> 0:27:00.119
<v Speaker 1>I don't know why. I all I can think of

0:27:00.280 --> 0:27:05.160
<v Speaker 1>is possibly worrying about feeding the beasts that will take

0:27:05.240 --> 0:27:08.360
<v Speaker 1>your job, or just having too much of a case

0:27:08.440 --> 0:27:11.520
<v Speaker 1>load to take the time to double check your work

0:27:11.680 --> 0:27:15.080
<v Speaker 1>on a computer would be the only reasons why doctors

0:27:15.080 --> 0:27:19.440
<v Speaker 1>aren't using that. Well, the smartphone is becoming a potential

0:27:19.800 --> 0:27:23.800
<v Speaker 1>uh self diagnos ur There's all these cool things on

0:27:23.840 --> 0:27:26.560
<v Speaker 1>the horizon that you can use your your phone for.

0:27:27.240 --> 0:27:29.840
<v Speaker 1>There's one called a live Core which you can take

0:27:29.880 --> 0:27:33.919
<v Speaker 1>your own ECG testy and potentially, for the cost of

0:27:33.960 --> 0:27:36.080
<v Speaker 1>getting one e c G in a hospital, you could

0:27:36.240 --> 0:27:40.520
<v Speaker 1>send a year's worth of daily ECGs you took yourself

0:27:40.560 --> 0:27:44.080
<v Speaker 1>to your doctor, and then you carry all that info

0:27:44.280 --> 0:27:46.199
<v Speaker 1>and all of your other medical info from all of

0:27:46.200 --> 0:27:48.720
<v Speaker 1>your apps that will eventually be integrated into one or

0:27:48.720 --> 0:27:51.240
<v Speaker 1>two apps that will probably become preloaded on your iPhone

0:27:51.240 --> 0:27:53.919
<v Speaker 1>in the next couple of years. And you've got your

0:27:53.960 --> 0:27:56.680
<v Speaker 1>medical history right there. Yeah, and I you know, most

0:27:56.720 --> 0:27:59.639
<v Speaker 1>of these require like a little clip on like um,

0:27:59.680 --> 0:28:02.600
<v Speaker 1>something called cell scope that's like you clip it onto

0:28:02.600 --> 0:28:06.639
<v Speaker 1>your little camera lens essentially, and it's like, what are

0:28:06.640 --> 0:28:08.919
<v Speaker 1>the little magnifiers with the lights that doctors used to

0:28:08.920 --> 0:28:11.720
<v Speaker 1>look in your ears and eyes? Uh, yeah, it looks

0:28:11.760 --> 0:28:14.439
<v Speaker 1>like one of those clipped onto your your iPhone and

0:28:14.600 --> 0:28:17.840
<v Speaker 1>it produces, uh, you can do imaging for skin moles

0:28:17.840 --> 0:28:21.879
<v Speaker 1>and rashes and ear infections. They have one called NTRA

0:28:22.480 --> 0:28:26.400
<v Speaker 1>that you could potentially give your own eyes uh, get

0:28:26.400 --> 0:28:30.960
<v Speaker 1>your own like glasses prescription done and then you ordering

0:28:31.320 --> 0:28:35.840
<v Speaker 1>the information to some website and they say and then

0:28:35.880 --> 0:28:41.360
<v Speaker 1>this one called Adamant that smells your breath, that smells

0:28:41.400 --> 0:28:44.440
<v Speaker 1>gases in your breath and it could detect like lung

0:28:44.480 --> 0:28:49.760
<v Speaker 1>cancer even yeah, apparently you have real metabolic changes to

0:28:49.840 --> 0:28:52.360
<v Speaker 1>the smell of your breath yea when you have different

0:28:52.400 --> 0:28:55.040
<v Speaker 1>types of cancer, not just long um. Like bees can

0:28:55.080 --> 0:28:59.440
<v Speaker 1>detect breast cancer. Um. If you breathe into like this

0:29:00.000 --> 0:29:02.760
<v Speaker 1>special glass fear with bees around it, they can be

0:29:02.800 --> 0:29:05.440
<v Speaker 1>trained to detect lung cancer and they come back with

0:29:05.520 --> 0:29:08.680
<v Speaker 1>the correct results a lot of the time. So a

0:29:08.680 --> 0:29:10.200
<v Speaker 1>lot of these are on the horizon they're not like

0:29:10.240 --> 0:29:13.560
<v Speaker 1>in heavy rotation yet, No, but but it's pretty neat

0:29:13.600 --> 0:29:17.200
<v Speaker 1>All of them reveal this idea that no one cares

0:29:17.320 --> 0:29:22.440
<v Speaker 1>about your particular health and well being more than you.

0:29:22.760 --> 0:29:24.920
<v Speaker 1>Unless you're one of those dudes who doesn't really care.

0:29:25.520 --> 0:29:28.920
<v Speaker 1>Then your your wife does or your mom you know,

0:29:29.200 --> 0:29:31.320
<v Speaker 1>and we probably cares more about me than me, right,

0:29:31.440 --> 0:29:36.040
<v Speaker 1>But there's there. The point is the doctor, the insurance company,

0:29:36.080 --> 0:29:40.080
<v Speaker 1>the the hospital. While they're all in the field because

0:29:40.120 --> 0:29:42.840
<v Speaker 1>they do care about your health, of course, they can't

0:29:42.880 --> 0:29:44.920
<v Speaker 1>possibly care about it more than you or your loved

0:29:44.920 --> 0:29:48.360
<v Speaker 1>one does. So the idea of giving you the ability

0:29:48.560 --> 0:29:51.800
<v Speaker 1>to keep all of that information yourself and easily handed

0:29:51.840 --> 0:29:54.880
<v Speaker 1>over to them or potentially down the road, a computer

0:29:55.000 --> 0:29:58.040
<v Speaker 1>version of them. I can't think of any any better

0:29:58.080 --> 0:30:01.360
<v Speaker 1>revolution in medicine right now than that read. I think

0:30:01.360 --> 0:30:03.440
<v Speaker 1>it's pretty exciting. Yeah. I think we're going to live

0:30:03.440 --> 0:30:06.560
<v Speaker 1>into the triple digits, buddy. Yeah. And I think there

0:30:06.560 --> 0:30:08.360
<v Speaker 1>will always be a need for doctors and nurses. I

0:30:08.400 --> 0:30:12.000
<v Speaker 1>don't think anyone will be wholly replaced but a little

0:30:12.160 --> 0:30:16.880
<v Speaker 1>robot assist. Yeah. Yeah. Let me make one more point,

0:30:16.880 --> 0:30:20.080
<v Speaker 1>all right, there's so you've heard of genomics, Yes, There's

0:30:20.120 --> 0:30:23.880
<v Speaker 1>also this thing called proteonomics, which is basically your protein

0:30:24.000 --> 0:30:27.800
<v Speaker 1>version of your your genome, your genome, and it's all

0:30:27.840 --> 0:30:29.880
<v Speaker 1>of the proteins in your body that you have that

0:30:29.920 --> 0:30:32.400
<v Speaker 1>your manufacturing, that you're losing, and all the changes and

0:30:32.480 --> 0:30:35.480
<v Speaker 1>fluctuations in them. And the idea is that you can

0:30:35.560 --> 0:30:40.320
<v Speaker 1>get a full work up of your proteonome and your genome,

0:30:41.240 --> 0:30:44.160
<v Speaker 1>and eventually you can add that to your medical history

0:30:44.160 --> 0:30:46.400
<v Speaker 1>as well, what your E k G reading has been

0:30:46.480 --> 0:30:49.800
<v Speaker 1>over the past year, um, any way you may have

0:30:49.840 --> 0:30:53.160
<v Speaker 1>gained or lost or anything like that, what your breath

0:30:53.160 --> 0:30:57.640
<v Speaker 1>smells like metabolically speaking, and not only have your current

0:30:57.680 --> 0:31:03.000
<v Speaker 1>state of health, but personalized your version of that personalized

0:31:03.040 --> 0:31:06.600
<v Speaker 1>down to your genes and proteins in your body, so

0:31:07.480 --> 0:31:12.120
<v Speaker 1>a treatment could be specifically tailored to you. Wow, that's

0:31:12.120 --> 0:31:14.760
<v Speaker 1>gonna be really tough for a human physician to do

0:31:14.800 --> 0:31:17.240
<v Speaker 1>that on their own. To top that, Yeah, the the

0:31:17.280 --> 0:31:21.520
<v Speaker 1>amount of data available already is overwhelming human doctors. When

0:31:21.560 --> 0:31:23.280
<v Speaker 1>you add this other kind of stuff on it, it's

0:31:23.280 --> 0:31:26.720
<v Speaker 1>just pulling away from them more and more. Yeah, and

0:31:26.720 --> 0:31:29.840
<v Speaker 1>medical record keeping is uh, I know, there's been issues

0:31:29.880 --> 0:31:33.400
<v Speaker 1>with that and digitizing that and keeping up with medical records,

0:31:33.400 --> 0:31:35.600
<v Speaker 1>and if you could be yourself advocate and keep up

0:31:35.600 --> 0:31:37.640
<v Speaker 1>with your own medical records, it might be kind of nice.

0:31:38.800 --> 0:31:41.880
<v Speaker 1>So I I feel like we answered the question, which

0:31:42.040 --> 0:31:46.160
<v Speaker 1>is yes, no more doctors. I don't know. I think

0:31:46.200 --> 0:31:48.840
<v Speaker 1>in in the future, I will always have humans to

0:31:49.160 --> 0:31:53.239
<v Speaker 1>interact between us. I think because we're always gonna want

0:31:53.280 --> 0:31:54.880
<v Speaker 1>somebody to yell at or be like what is this

0:31:54.960 --> 0:31:57.880
<v Speaker 1>robot doing? Or can you help me this robots give

0:31:57.920 --> 0:31:59.640
<v Speaker 1>me some ipocacu and won't let go on my arm

0:31:59.800 --> 0:32:03.960
<v Speaker 1>or burn my rectum. Yes, we're always going to need humans.

0:32:04.000 --> 0:32:06.680
<v Speaker 1>It's just I don't know, well we need physicians, and

0:32:06.720 --> 0:32:09.200
<v Speaker 1>if we do, will they be super specialized like just

0:32:09.280 --> 0:32:14.200
<v Speaker 1>the Supreme Court of Physicians. Who knows. It's pretty exciting.

0:32:14.240 --> 0:32:16.360
<v Speaker 1>But we will see this change one way or another

0:32:16.640 --> 0:32:22.240
<v Speaker 1>in the next fifteen years under my prediction to it's happening. Okay,

0:32:22.600 --> 0:32:26.480
<v Speaker 1>goog and Chuck if the year yeah. Really, If you

0:32:26.560 --> 0:32:31.440
<v Speaker 1>wanna learn more about computers possibly replacing doctors, you can

0:32:31.440 --> 0:32:33.800
<v Speaker 1>type those words into the search bar how stuff works

0:32:33.840 --> 0:32:36.880
<v Speaker 1>dot com. And since I said search bar, that means

0:32:36.920 --> 0:32:55.240
<v Speaker 1>it's time for a message break. Okay, So, so what

0:32:55.320 --> 0:33:00.840
<v Speaker 1>do we have listener mail time. Yeah, I have one

0:33:01.080 --> 0:33:05.800
<v Speaker 1>called I'm gonna call it fight Club. Okay, hey guys,

0:33:05.800 --> 0:33:09.600
<v Speaker 1>just finished the podcast on deep refrigerating. I think I'll

0:33:09.680 --> 0:33:13.600
<v Speaker 1>keep my Energy Star certified fridge. Thanks very much. But

0:33:13.680 --> 0:33:16.360
<v Speaker 1>Josh did mention something about eating weeds and asked a

0:33:16.400 --> 0:33:19.120
<v Speaker 1>somewhat rhetorical question, what are weeds anyway? Just plants we

0:33:19.120 --> 0:33:21.800
<v Speaker 1>say are bad? It reminded me of some today's common

0:33:22.040 --> 0:33:25.520
<v Speaker 1>uh some that some of today's common noxious weeds. How

0:33:25.560 --> 0:33:28.840
<v Speaker 1>they got their reputation not so long ago, lawns were

0:33:28.840 --> 0:33:32.280
<v Speaker 1>perfect blends of Bermuda rye and Kentucky blue grass. They

0:33:32.320 --> 0:33:35.400
<v Speaker 1>also included many types of clover, dandelion, and other quote weeds.

0:33:35.720 --> 0:33:38.760
<v Speaker 1>In fact, many seed mixtures specifically included white clover because

0:33:38.760 --> 0:33:41.080
<v Speaker 1>it makes an excellent cover in soils where more common

0:33:41.080 --> 0:33:44.920
<v Speaker 1>grasses won't grow. In steps the Scott Fertilizer Company, post

0:33:44.960 --> 0:33:47.719
<v Speaker 1>World War Two America housing tracks were popping up all

0:33:47.720 --> 0:33:50.720
<v Speaker 1>over the US and new suburbia, and Scott was encouraging

0:33:50.720 --> 0:33:52.720
<v Speaker 1>returning gis to take pride in their new lawns and

0:33:52.760 --> 0:33:55.680
<v Speaker 1>to buy their products to do so. And we're extremely

0:33:55.720 --> 0:33:59.440
<v Speaker 1>high waisted pants, that's right. They produced fertilizers, weed killers,

0:33:59.440 --> 0:34:01.520
<v Speaker 1>and other long your products, some of which had a

0:34:01.520 --> 0:34:04.080
<v Speaker 1>curious side effect killing many leafy greens that came up

0:34:04.080 --> 0:34:06.960
<v Speaker 1>to the point that we're not considered weeds at the time,

0:34:07.000 --> 0:34:10.920
<v Speaker 1>including white clover. Instead of reformulating, what they did was

0:34:11.000 --> 0:34:13.960
<v Speaker 1>what any red blooded American corporation would do. They redefined

0:34:14.040 --> 0:34:16.839
<v Speaker 1>what was a weed. White clover made that list as

0:34:16.840 --> 0:34:20.120
<v Speaker 1>the dandelions, when in fact both are still in use

0:34:20.160 --> 0:34:22.200
<v Speaker 1>today in cooking and medicines. Would you call that a

0:34:22.280 --> 0:34:26.919
<v Speaker 1>noxious weed? No? So thanks for that, guys, and thanks

0:34:26.920 --> 0:34:29.040
<v Speaker 1>for all the knowledge I've learned and have a great

0:34:29.719 --> 0:34:33.560
<v Speaker 1>and that is from Robert Paulson. Oh yeah, Robert Paulson.

0:34:33.640 --> 0:34:36.239
<v Speaker 1>He's a he's a sharp dude. That's why I called

0:34:36.239 --> 0:34:39.200
<v Speaker 1>it fight club, remember that. Oh yeah, I think I

0:34:39.280 --> 0:34:41.240
<v Speaker 1>made a joke to him about that once on Twitter

0:34:41.280 --> 0:34:43.440
<v Speaker 1>and he never responded. Yeah, he's he writes in a

0:34:43.480 --> 0:34:45.200
<v Speaker 1>lot now he's every time I see his name, I

0:34:45.239 --> 0:34:48.520
<v Speaker 1>think and his name is Robert Paulson. Yeah, thanks a lot,

0:34:48.600 --> 0:34:51.719
<v Speaker 1>Robert Paulson. We appreciate you. If you ever shot in

0:34:51.760 --> 0:34:53.839
<v Speaker 1>the head and the commission of a robbery, we will

0:34:53.880 --> 0:34:58.080
<v Speaker 1>dispose of your body. Um. If you want to get

0:34:58.120 --> 0:34:59.520
<v Speaker 1>in touch with me and Chuck, and you have a

0:34:59.640 --> 0:35:01.759
<v Speaker 1>name that you would like us to poke fun at

0:35:02.200 --> 0:35:05.840
<v Speaker 1>Bring it On. You can tweet to us at s

0:35:05.960 --> 0:35:08.920
<v Speaker 1>y s K podcast. You can post your name on

0:35:08.960 --> 0:35:12.600
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0:35:12.600 --> 0:35:14.880
<v Speaker 1>send us an email to stuff Podcasts at how stuff

0:35:14.880 --> 0:35:18.320
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0:35:18.360 --> 0:35:20.960
<v Speaker 1>Make it your homepage. It's the coolest place on the web.

0:35:21.239 --> 0:35:26.919
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0:35:26.960 --> 0:35:29.440
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0:35:29.480 --> 0:35:31.720
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