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the upshot is this:
doctors alone scored 73.7% on diagnosing patients even when using google etc.
doctors using GPT scored 76.3%
but GPT alone scored 92%.
adding a human hurt the results hugely.
it led to 24 errors in 100 instead of 8. triple the misdiagnosis rate is not the kind of outcome one would be wise to dismiss.
Patrick says
Esp if they are Housing Experts of ParNet who imagine shit up in their head and pronounce it facts the rest of us have to accept or get spammed with a lecture on "you don't know real estate. I do."
MolotovCocktail says
Patrick says
Esp if they are Housing Experts of ParNet who imagine shit up in their head and pronounce it facts the rest of us have to accept or get spammed with a lecture on "you don't know real estate. I do."
You don't real estate and haven't proven otherwise. Not much else to say.

Regular readers know I’ve very little patience left for the failing expert classes. Now, I propose a radical solution. Just as Reagan fired all the illegally striking air traffic controllers back in the 1980’s, I suggest we fire the entire expert class— every single one who got the pandemic wrong.
I’m sorry (not sorry) if that sounds extreme. It’s not revenge. It’s self-protection. All these sold-out experts are dangerous.
If we don’t ashcan them, the same credentialed parrots will still be squawking about cars and guns while another 700,000 young Americans quietly shuffle off this mortal stage. Pretending the problem doesn’t exist guarantees it persists. Ignoring the vaccine-shaped hole in the mortality curve isn’t just playing politics, it’s malpractice. We’ll never develop protocols, treatments, or genuine public-health safeguards to save the people who’ve been hurt if the official line remains, “shhh.”
Come on, let’s go for it. Let’s just purge them all. Then we can start over from scratch. And let’s do it now, before everybody forgets or kicks the bucket. Who’s with me?
You don't real estate and haven't proven otherwise. Not much else to say.
Oh man...see everyone?
Congrats on finding a typo. You don't DO real estate. Which is true. You know nothing about it. I've posted dozens of links on areas that have proven my point. You post a map with no data. Picture book kid.

Ah, multiple licensing agencies and prof assocs.
Who gave the AMA a monopoly? Why does the Bar Assoc have a monopoly? The ACS?
We need MOAR professional associations with different viewpoints. The AMA should not be able to kick out members, should be advisory, and we should have half a dozen AMAs.
The problem, in the Times’s view, was that “Mr. Kennedy and his allies appear to be laying the groundwork for an entirely new approach to immunization, one that prizes individual autonomy and seeks to limit vaccines based on personal preference rather than scientific expertise.”
It was 1984 that [Philip] Tetlock began Expert Political Judgment: convincing hundreds of political and economic pundits to provide regular probabilistic forecasts of world events, and tracking those forecasts for decades. Between 1984 and 2004, he collected some 30,000 forecasts from about 300 experts.
Unsurprisingly, this took a while to pay off—which is likely a major reason no one had done it before2—but we live in a world where it did.
By the early 2000s, enough of their forecasts had resolved to score pundits’ performance. The verdict was decisive—and, for experts, disastrous. The average expert didn’t outperform random guessing, and performed significantly worse than simple statistical heuristics such as “extrapolate the current trend” or “assume no change.” They failed even to measurably outperform educated laymen.
From a related post:
…“expertise” as we understand it is largely fake. Should you listen to epidemiologists or economists when it comes to COVID-19? Conventional wisdom says “trust the experts.” The lesson of Tetlock (and the Afghanistan War), is that while you certainly shouldn’t be getting all your information from your uncle’s Facebook Wall, there is no reason to start with a strong prior that people with medical degrees know more than any intelligent person who honestly looks at the available data.
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