Can you point out where Yvain makes those comments that you think violate b and c?
Here are some excerpts from Yvain’s comments that exhibit the problems I mentioned, (as well as others that maybe I should add).
Okay, but don’t make the mistake of the guy who says “The mainstream media is all lies—so I’ll only trust what I read on shady Internet conspiracy sites”. Saying that there are likely flaws in mainstream medical research doesn’t license you to discount any specific medical finding unless you have particular reason to believe that finding is false.
This essentially error (b) with elements of (c). From a Bayesian perspective “saying there are likely flaws in mainstream medical research” does mean one should decrease the weight one assigns to all medical findings, thus one should assign more (relative weight) to other, non-scientific, evidence, e.g., evidence likely to be based an anecdotes.
The study mentioned above looks at exciting cutting-edge research over the past decade. It says that 40% or so was proven wrong. This is good and to the credit of medical science! It means the system is working as it should in retesting things and getting the false stuff out.
[Here follows several paragraphs describing of how much he discourages people from being afraid to take statins along with some references to “good doctors” and “correctly prescribed statin” that seem to be there to help set up a potential No True Scotsman] If my doctor recommends I take statin, I don’t care about the base rates for statin “correctly prescribed” by “good doctors”, I care about the base rate of statin as actually prescribed by actual doctors.
Then Nancy tells her anecdote
part of what spooked me about them was running into a woman whose husband had taken permanent muscle damage from them, which suggested to me that the side effect might not be all that rare.
Yvain’s reply begins:
Rhabdomyolysis, which I think is the kind of severe permanent muscle damage you’re talking about, is well-known enough as a side effect of statins that it’s taught in first year medical school classes.
Funny how he didn’t see fit to mention this it his first post while he spent several paragraphs arguing for why satins are perfectly safe.
There was one statin that may have had a relatively high (1/2,000 per year) rhabdomyolysis rate and was withdrawn from the market after a couple of years for that reason. The statins currently on the market have about a 1⁄20,000/year rhabdomyolysis rate, which is actually low enough that no one is entirely sure it’s not background noise although no one’s taking any chances. Since they also have a 1+/500/year heart attack prevention rate, they prevent something like 50 heart attacks for each case of rhabdomyolysis they cause, which seems “worth it”.
I’m not sure but somehow I suspect these numbers assume the statin was prescribed “correctly”. Furthermore, they certainly don’t take into account the base rate for medical studies being false. Also, he next says:
Muscle damage rates increase by a lot if you take statins with fibrates (another cholesterol lowering drug).
Somehow I suspect the numbers he gives in the preceding paragraph assumed no drug interactions.
I don’t read most of that the way you’ve read it. For example, Yvain said “Saying that there are likely flaws in mainstream medical research doesn’t license you to discount any specific medical finding unless you have particular reason to believe that finding is false.” Discount is much stronger language than simply reducing weight in the claim.
This argument violates conservation of expected evidence.
No it doesn’t. It only violates that if in the alternate case where Yvain knew that almost all new studies turn out to be right he would point this as a success of the method. I suspect that in that counterfactual, he likely would. But that’s still not a b or a c type violation.
Most of the reply to Nancy while potentially problematic doesn’t fall into b and c. But I don’t think you are being fair when you say:
Funny how he didn’t see fit to mention this it his first post while he spent several paragraphs arguing for why satins are perfectly safe.
The standard of safe is very different than listing every well known side-effect, especially if they only happen in a fraction of the population. I don’t see a contradiction here, and if there is one, it doesn’t seem to fall under b or c in any obvious way.
I don’t read most of that the way you’ve read it. For example, Yvain said “Saying that there are likely flaws in mainstream medical research doesn’t license you to discount any specific medical finding unless you have particular reason to believe that finding is false.” Discount is much stronger language than simply reducing weight in the claim.
It’s not clear what Yvain indented to mean by “discount”; however, the rest of his argument assumes he can disregard the base rate unless there you have specific evidence.
Here are some excerpts from Yvain’s comments that exhibit the problems I mentioned, (as well as others that maybe I should add).
This essentially error (b) with elements of (c). From a Bayesian perspective “saying there are likely flaws in mainstream medical research” does mean one should decrease the weight one assigns to all medical findings, thus one should assign more (relative weight) to other, non-scientific, evidence, e.g., evidence likely to be based an anecdotes.
This argument violates conservation of expected evidence.
[Here follows several paragraphs describing of how much he discourages people from being afraid to take statins along with some references to “good doctors” and “correctly prescribed statin” that seem to be there to help set up a potential No True Scotsman] If my doctor recommends I take statin, I don’t care about the base rates for statin “correctly prescribed” by “good doctors”, I care about the base rate of statin as actually prescribed by actual doctors.
Then Nancy tells her anecdote
Yvain’s reply begins:
Funny how he didn’t see fit to mention this it his first post while he spent several paragraphs arguing for why satins are perfectly safe.
I’m not sure but somehow I suspect these numbers assume the statin was prescribed “correctly”. Furthermore, they certainly don’t take into account the base rate for medical studies being false. Also, he next says:
Somehow I suspect the numbers he gives in the preceding paragraph assumed no drug interactions.
I don’t read most of that the way you’ve read it. For example, Yvain said “Saying that there are likely flaws in mainstream medical research doesn’t license you to discount any specific medical finding unless you have particular reason to believe that finding is false.” Discount is much stronger language than simply reducing weight in the claim.
No it doesn’t. It only violates that if in the alternate case where Yvain knew that almost all new studies turn out to be right he would point this as a success of the method. I suspect that in that counterfactual, he likely would. But that’s still not a b or a c type violation.
Most of the reply to Nancy while potentially problematic doesn’t fall into b and c. But I don’t think you are being fair when you say:
The standard of safe is very different than listing every well known side-effect, especially if they only happen in a fraction of the population. I don’t see a contradiction here, and if there is one, it doesn’t seem to fall under b or c in any obvious way.
It’s not clear what Yvain indented to mean by “discount”; however, the rest of his argument assumes he can disregard the base rate unless there you have specific evidence.