WEBVTT

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Okay, so I want to start today by throwing a

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term at you. And I guarantee, unless you're,

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I don't know, a very specific type of doctor

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or maybe a lawyer who's deep in industrial lawsuits,

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you have never heard this before. And honestly,

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it sounds, it sounds underwhelming. Oh, yeah.

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What's the term? Bereader. Ah, yes, it does sound

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a bit. Second rate, doesn't it? Right. I mean,

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if I told you I was a B reader, you'd assume

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I was the understudy. The backup plan, the person

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who reads the script when the A reader is out

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sick. Or maybe someone who only reads, like,

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B -list celebrity autobiographies. Exactly. It

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just implies lesser than. But what if I told

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you that being a B reader is actually one of

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the most elite, exclusive, and high -pressure

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designations in the entire American medical system?

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That is a much, much more accurate way to put

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it. It's a tiny club of people with a very, very

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specific skill set. And what if I said these

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people hold a power that is, frankly, kind of

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terrifying? Imagine a job where you're sitting

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in a dark room staring at this blurry black and

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white image of a lung. And your opinion, your,

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you know, subjective take on a shadow, can decide

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the fate of massive lawsuits, millions of dollars,

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and the medical truth for thousands of workers.

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It's the ultimate high -stakes game. And the

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B definitely does not stand for backup. So today

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on The Deep Dive, we are unpacking the very strange

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world of the B -reader. We're going to look at

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this intersection of, um... medicine, human error,

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and the law. We've got NIOSH protocols, some

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pretty dense medical journals, and a few legal

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studies that I think are really going to make

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your jaw drop. And it's a perfect topic because

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it really challenges something we all just assume,

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you know, that medicine is subjective. We think

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an x -ray is a picture of the truth. But as we're

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about to find out, an x -ray is just a shadow.

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And shadows can change depending on who's looking.

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Okay, so let's start at ground zero. What technically

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is a bee reader? Okay, so a B -reader is a physician.

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They're usually already a specialist, like a

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radiologist or a pulmonologist, but they've gone

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a step further and gotten certified by NIOH.

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That's the National Institute for Occupational

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Safety and Health. And their whole job, their

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specific certification, is to classify chest

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x -rays for signs of pneumoconiosis. Pneumoconiosis.

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That's the big umbrella term for like dust diseases.

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That's it. Yeah. It comes from the Greek. Pneumo

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for lung, conus for dust. So you're talking about

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things like asbestosis, silicosis, and the one

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that really kicked this whole thing off. Coal

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workers, pneumoconiosis. black lung. So these

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are the doctors who look at a long x -ray and

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say, yep, there's dust damage here, or nope,

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these lungs are clear. Well, see, that's where

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you have to be really careful with the wording.

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You said diagnose, which implies you're treating

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a patient. A B reader isn't necessarily diagnosing

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someone in that clinical sense. They are classifying

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an image. That feels like a subtle distinction.

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What's the real difference there? A clinical

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diagnosis is holistic. A doctor looks at you,

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listens to your breathing, asks about your history.

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A B reader is doing something much colder. It's

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epidemiological classification. They are looking

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at an image and mapping it against a really rigid

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international standard to generate a data point.

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So they're turning a picture into a spreadsheet

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entry. Precisely. And to do that, they use a

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system called the ILO classification. That's

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from the International Labor Office. And this

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is where the science part gets really, really

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intense. I was looking at the notes on this ILO

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system and it is just. It's wildly complex. It's

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not just, is there dust? Yes or no? Not at all.

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It's a whole language. When dust gets in the

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lungs, the tissue reacts by forming these little

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scars, fibrosis. On an x -ray, they look like

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small white spots or opacities. The ILO system

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makes the doctor describe those spots with incredible

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precision. First, the shape and size. And they

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use letters for this, right? Like P, Q, R, R.

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They do. So if the spots are round, you have

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to measure them. Are they type P? That's up to

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one and a half millimeters. Are they type Q?

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That's one and a half to three millimeters. Yeah.

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Or are they type R3 to 10? So you're distinguishing

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between a dot the size of a pinhead and one the

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size of a lentil on a blurry film. Exactly. And

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that's just for the round ones. If the scars

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are irregular like little lines or squiggles,

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you have to classify them as type S, T, or U

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based on their width. And then you judge how

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many there are. Sort of. You judge the profusion,

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the density, how crowded are these spots. And

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this is the part that just blows my mind. They

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don't just use a simple 1, 2, 3 scale. They use

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a 12 -point scale that actually incorporates

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uncertainty. I saw this in the notes. One slash

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zero or one slash two. Explain that because it

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seems so weird. It's not a fraction. It's like

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a mental toggle. So let's say I look at an x

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-ray. I think it's a category one definite, but

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light scarring. But I hesitated for a second.

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I briefly thought maybe this is a category zero,

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which is normal. So I coded as 10. So the code

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literally says I landed on one, but I thought

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about zero. That's it. Or 21 means I decided

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it's a two, but I considered calling it a one.

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The system is built to capture the doctor's own

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internal debate. It acknowledges that the line

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between healthy and sick is, you know, fuzzy.

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That is incredibly nuanced. It's like they're

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trying to build a mathematical model for human

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hesitation. They are. And that is why you need

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a special certification. You can't just grab

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any doctor and ask them to distinguish a type

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Q opacity from a type R while deciding between

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11 and a 12. Okay, so why did this whole system

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get created? Why couldn't regular radiologists

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just handle it? Because of the absolute chaos

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of the 1970s, you have to go back to the origin

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story here. 1974. The era of bell bottoms, the

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energy crisis. And a massive focus on coal miners.

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Right. The federal government had this huge surveillance

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program for coal miners. They were taking thousands

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of chest X -rays to track black lung. But when

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the data came back, they found a huge problem.

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Which was? Reader variability. Which is just

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a polite scientific way of saying that doctors

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couldn't agree on anything. It was a mess. I

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mean, you'd send a miner's x -ray to a doctor

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in Kentucky, and he'd say, this man has stage

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2 fibrosis. Get him out of the mine. You send

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the exact same film to a doctor in West Virginia,

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and he says, totally clear, send him back to

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work. That is a nightmare. For the miner, I mean.

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Yeah. Your whole life, your health, your compensation,

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your job, it all depends on which doctor happens

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to pick up your file. It was scientifically unacceptable.

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And legally, it was a disaster. It just proved

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that truth in these images was totally subjective.

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So NIOSH stepped in. They said, we need to calibrate

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the human eye. And they launched the B -Reader

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program. And just to close the loop on the name,

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I saw a note that the B probably stands for the

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Black Lung Program. That's the prevailing theory,

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yeah. The Black Lung Connection. But honestly,

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given how hard the exam is, the B might as well

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stand for brutal. Let's talk about that exam.

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Because this isn't some weekend seminar with

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free bagels. Oh, not at all. Becoming a bee reader

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is famously difficult. Just to give you a sense

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of the scale, as of October 2017, how many certified

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bee readers do you think there were in the entire

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U .S.? I don't know. There are thousands of radiologists.

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Maybe a thousand. 181. 181. That's it. For the

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whole country? That's it. Plus about 58 international

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ones. It is a microscopic club. Why so few? Does

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nobody want to do it? Oh, people want to do it.

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It can be very lucrative. But the exam is a massive

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filter. It takes place at one specific lab alert,

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the Appalachian Laboratory for Occupational Safety

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and Health in Morgantown, West Virginia. Even

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the location sounds intense. Right in the heart

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of coal country. It is. And the test involves

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a timed classification of 125 different radiographs.

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You have to sit there under the clock and correctly

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classify 125 x -rays using that super strict

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ILO standard. You have to get the P's and Q's

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right. You have to nail the perfusion. And you're

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graded against a master key, right? A consensus

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from a panel of experts. Yes. And if you deviate

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too much, you fail. The pass rates are historically

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low. But here is the real kicker. It's not like

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a degree where once you have it, you have it

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for life. Every four years. If you don't pass

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the recertification exam, you lose your status.

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You're out of the club. That's incredible pressure.

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It's like having to retake your final exams every

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four years for your entire career. It's to make

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sure their skills don't drift. Because remember,

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the original point was for research and compensation

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data. They needed the human eye to act like a

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machine. So we have this elite, super trained,

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constantly tested group of 181 experts. Theoretically,

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this should solve the variability problem. We

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should have perfect objectivity. Theoretically.

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But this is where the story shifts from, you

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know, a medical science story to more of a legal

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thriller because the context started to change.

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We move beyond just monitoring coal miners. Right.

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Bee readers became critical for all the dust

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diseases, asbestos, silica. And suddenly we weren't

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just talking about government surveillance. We

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were talking about toxic torts, massive lawsuits.

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And where there's litigation, there's money.

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Huge money. Billions. And where there is money,

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there is pressure. So let's unpack variability

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again. We talked about random variation, just

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doctors disagreeing. But the sources highlight

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a different kind. Systematic variation. Which

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is a polite way of saying bias. Well, is it corruption?

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Well, let's stick with the science of bias for

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a second. It can be cognitive. It happens when

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a reader has outside information that primes

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their brain. So if I hand you an x -ray and I

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say... This is Mr. Smith. He's 65, and he worked

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in an asbestos factory for 30 years. What is

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your brain going to do? My brain is going to

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go hunting. I'm going to expect to see damage.

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I'll squint at every shadow until it looks like

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a problem. Exactly. You lower your threshold

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for calling something positive. It might not

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even be conscious. You're just primed to see

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the pattern. But then you add the money. If I'm

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a lawyer for Mr. Smith, I need a positive read

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to win my case. If you, the doctor, give me a

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negative read, well, I don't pay you for your

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testimony. I just go find another doctor. And

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that creates a marketplace for positive readings.

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And this leads us to the most explosive piece

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of evidence we found, the Gitlin study. I read

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this three times. I had to make sure I wasn't

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misinterpreting the numbers. This study basically

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took a flamethrower to the whole idea of B -reader

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objectivity. So walk us through the setup. Okay.

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So they had a set of 492 chest x -rays. Group

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A was B readers who were retained by lawyers

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in asbestos litigation. These were the hired

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guns for the plaintiffs. Group B was an independent

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panel of B readers who were blinded. So they

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didn't know who the patients were, no history,

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and they weren't being paid by a lawyer to find

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a specific result. So Group A, the plaintiff's

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experts, versus Group B, the neutral scientists,

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same films. What happened? The B readers hired

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by the lawyers found abnormalities, signs of

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disease in 95 .9 % of the cases. 96%. Okay, so

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basically almost everybody's sick. Almost everyone.

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Now, the independent blinded panel looking at

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the exact same images, they found abnormalities

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in only 4 .5 % of the cases. Wait, stop. Let

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that sink in. 96 % versus 4 .5%. That's the gap.

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That is not a gap. That's a canyon. I mean, if

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it was 60 percent, it's 50 percent. I'd say,

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OK, subjective. But 96 to 4. That means one group

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is seeing a plague and the other group is seeing

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a room full of healthy lungs. It highlights the

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massive, massive impact of context and financial

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incentive. The study suggests that when you are

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hired to find something, you find it. And remember,

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these aren't just random doctors. These are all

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NISH certified bee readers, the elite 181. This

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is just, I mean, the implications are huge. If

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a lawyer can hire a B reader who will say positive

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96 % of the time, that's almost a guaranteed

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ticket to a settlement, isn't it? The certification

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itself was being weaponized. That's exactly the

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argument that started to be made, that the B

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reader stamp of approval had become a commodity.

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Lawyers weren't hiring the most accurate doctors.

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They were hiring the most positive doctors. But

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just to play devil's advocate for a second, is

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it possible the independent panel was wrong?

00:12:09.460 --> 00:12:11.740
Maybe they were being too conservative. It's

00:12:11.740 --> 00:12:14.860
possible. Radiology is subjective. But a 90 point

00:12:14.860 --> 00:12:17.559
spread. That suggests something systemic is going

00:12:17.559 --> 00:12:20.500
on. It suggests that objectivity dissolves when

00:12:20.500 --> 00:12:23.220
you know which side you're playing for. So surely

00:12:23.220 --> 00:12:25.480
NIOSH didn't just let this go. I mean, their

00:12:25.480 --> 00:12:28.759
entire mission is accuracy. If their gold standard

00:12:28.759 --> 00:12:30.820
certification is being used to game the legal

00:12:30.820 --> 00:12:33.840
system, that's a really bad look. It was a crisis

00:12:33.840 --> 00:12:36.340
of credibility. Absolutely. And this brings us

00:12:36.340 --> 00:12:39.899
to the cleanup phase. NIOISH responded by establishing

00:12:39.899 --> 00:12:43.100
a formal code of ethics for all B readers. We

00:12:43.100 --> 00:12:45.419
have the code here. It's 10 points. And honestly,

00:12:45.539 --> 00:12:46.980
reading through them, some of these feel like

00:12:46.980 --> 00:12:48.519
things you shouldn't have to write down for a

00:12:48.519 --> 00:12:50.720
doctor. Usually if a rule exists, it's because

00:12:50.720 --> 00:12:53.460
someone somewhere did the opposite. Right. OK,

00:12:53.519 --> 00:12:55.960
look at rule eight. B readers shall not accept

00:12:55.960 --> 00:12:58.379
compensation that is... contingent upon the findings

00:12:58.379 --> 00:13:01.159
of their chest radiograph classifications. That's

00:13:01.159 --> 00:13:03.120
the bounty hunter rule. It tackles that problem

00:13:03.120 --> 00:13:05.539
head on. You can't have a fee that says, I get

00:13:05.539 --> 00:13:08.480
$500 for a negative reeb or $5 ,000 if I find

00:13:08.480 --> 00:13:11.899
disease. That is explicitly forbidden. You get

00:13:11.899 --> 00:13:14.220
paid for your time, not for the result. That

00:13:14.220 --> 00:13:17.299
seems like ethics 101. It is. But you can imagine

00:13:17.299 --> 00:13:20.179
how creative the incentives could get. This shuts

00:13:20.179 --> 00:13:23.440
that down. Then there's rule three. Bee readers

00:13:23.440 --> 00:13:26.919
shall not make clinical diagnoses. Based on chest

00:13:26.919 --> 00:13:29.080
radiograph classification alone. And this circles

00:13:29.080 --> 00:13:31.419
back to what we said at the very beginning. A

00:13:31.419 --> 00:13:34.100
B reading is a classification. It's a data point.

00:13:34.220 --> 00:13:37.480
It is not a diagnosis. A doctor can't use this

00:13:37.480 --> 00:13:39.960
form to tell a patient, you have asbestosis.

00:13:40.080 --> 00:13:42.820
You need more evidence than that. But then look

00:13:42.820 --> 00:13:45.679
at rule four. This one feels like the moral safety

00:13:45.679 --> 00:13:48.519
net. It says if a B reader sees something clinically

00:13:48.519 --> 00:13:50.820
important, they have to make sure the individual

00:13:50.820 --> 00:13:53.580
gets notified. Right. Because imagine you're

00:13:53.580 --> 00:13:56.340
a B -reader hired by a company. You're blinded.

00:13:56.340 --> 00:13:58.500
You get an x -ray and you see a massive tumor.

00:13:58.879 --> 00:14:02.240
But your only job is to look for dust. Technically,

00:14:02.399 --> 00:14:04.259
you could just check the no dust box and move

00:14:04.259 --> 00:14:06.200
on. And the patient could die a year later because

00:14:06.200 --> 00:14:08.899
nobody told them. Exactly. Rule 4 says you have

00:14:08.899 --> 00:14:11.240
a duty to the human being, not just to the form.

00:14:11.379 --> 00:14:13.279
You have to make sure someone alerts the patient.

00:14:13.460 --> 00:14:15.639
You can't just hide behind the process. And the

00:14:15.639 --> 00:14:17.740
sources also mention a big push for blinding.

00:14:18.009 --> 00:14:20.090
as a recommended practice. It's the ultimate

00:14:20.090 --> 00:14:23.610
fix. The Gitlin study proved it works. If you

00:14:23.610 --> 00:14:25.429
want the truth, you have to hide the context.

00:14:25.710 --> 00:14:27.669
If the reader doesn't know who the patient is,

00:14:27.830 --> 00:14:31.149
who the lawyer is, or the job history, that bias

00:14:31.149 --> 00:14:34.870
just evaporates. The 96 % drops down to 4%. It's

00:14:34.870 --> 00:14:37.289
so ironic, isn't it? We usually think that to

00:14:37.289 --> 00:14:39.289
make a good decision, you need more information.

00:14:39.570 --> 00:14:42.330
But here, to get to the truth, the doctor actually

00:14:42.330 --> 00:14:45.169
needs less information. That is the whole paradox

00:14:45.169 --> 00:14:48.000
of the B -reader. Context creates a narrative

00:14:48.000 --> 00:14:50.860
and narrative creates bias. To get to the raw

00:14:50.860 --> 00:14:53.519
data, the truth of the photons on the film, you

00:14:53.519 --> 00:14:55.799
have to strip the story away. So where does this

00:14:55.799 --> 00:14:57.639
leave us today? Is the program still running?

00:14:57.799 --> 00:15:00.240
It is. It's still the gold standard for tracking

00:15:00.240 --> 00:15:03.139
occupational lung disease. The exam in Morgantown

00:15:03.139 --> 00:15:05.379
is still brutal and the certification is still

00:15:05.379 --> 00:15:08.039
incredibly rare. But are they still fighting

00:15:08.039 --> 00:15:10.159
this variability battle? I think variability

00:15:10.159 --> 00:15:12.340
will always be a factor as long as humans are

00:15:12.340 --> 00:15:14.559
doing the reading. The whole B -Reader program

00:15:14.559 --> 00:15:16.720
is an attempt to standardize human perception.

00:15:17.259 --> 00:15:19.519
It's an attempt to turn a subjective opinion,

00:15:19.879 --> 00:15:23.000
that shadow looks weird, into objective data.

00:15:23.259 --> 00:15:25.000
And maybe that's the real takeaway here. We think

00:15:25.000 --> 00:15:28.039
of medical tests as binary, positive or negative.

00:15:28.480 --> 00:15:31.039
You have it or you don't. But an x -ray is just

00:15:31.039 --> 00:15:33.720
a shadow on a plate. It requires interpretation,

00:15:34.000 --> 00:15:37.080
and interpretation requires a human brain. And

00:15:37.080 --> 00:15:40.159
brains are messy, pattern -seeking, bias -prone

00:15:40.159 --> 00:15:43.059
things. It really makes you think, we spent this

00:15:43.059 --> 00:15:46.460
whole time on chest x -rays, but if these trained

00:15:46.460 --> 00:15:50.799
experts, the elite 181, can disagree 96 % versus

00:15:50.799 --> 00:15:52.980
4 % of the time, depending on who's signing the

00:15:52.980 --> 00:15:56.120
check, where else in medicine is objectivity

00:15:56.120 --> 00:15:59.259
just an illusion? What's happening with MRI interpretations

00:15:59.259 --> 00:16:02.399
for back surgery? or pathology slides for cancer?

00:16:02.559 --> 00:16:04.360
That's a really uncomfortable question, isn't

00:16:04.360 --> 00:16:06.860
it? The bee reader controversy just made it visible

00:16:06.860 --> 00:16:09.240
because we had the data from that one study.

00:16:09.360 --> 00:16:10.899
It makes you wonder what's happening in all the

00:16:10.899 --> 00:16:12.820
areas where we haven't done the study yet. On

00:16:12.820 --> 00:16:14.580
that slightly terrifying note, I think we'll

00:16:14.580 --> 00:16:16.480
wrap up this deep dive. Always a pleasure to

00:16:16.480 --> 00:16:18.940
undermine your faith in absolute truth. Next

00:16:18.940 --> 00:16:21.600
time you see a medical report, remember the bee

00:16:21.600 --> 00:16:25.320
reader. Remember the P's and Q's. And maybe think

00:16:25.320 --> 00:16:27.659
about getting a blinded second opinion. We will

00:16:27.659 --> 00:16:28.519
catch you on the next one.
