this post was submitted on 09 Oct 2024
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[–] renzev@lemmy.world 104 points 6 days ago* (last edited 6 days ago) (19 children)

So...

  • normal people are scared because they fall for the gambler's fallacy,
  • mathematician is feeling fine because a 50% chance is a 50% chance,
  • and the scientist is feeling extra fine because the experimental data shows that the surgery is actually safer than 50%

Did I get it right?

[–] DillyDaily@lemmy.world 59 points 6 days ago (6 children)

Depending on what you're treating, 50% sounds pretty good.

I remember when I went for my last surgery and I was signing all the consent forms, my doctor was emphasising the 17% chance of this known lifelong complication, and the increased 4% chance of general anaesthesia fatality (compared to 1 in 10,000 for general public).

My mum was freaking out because when she had the same surgery she'd been seen much earlier in the disease process, she wasn't expecting such a "high" risk of complications in my care.

But all I was hearing is that there's an over 80% chance it will be a success. Considering how limited and painful my life was by the thing we were treating, it was all no brainier, I liked those odds. Plus my condition is diagnosed 1 in 100,000 people, so how much data could my surgeon really have on the rate of risk, the sample size would be laughable.

Still the best decision of my life, my surgeon rolled his skilled dice, I had zero complications (other than slow wound healing but we expected and prepared for that). I threw my crutches in the trash 2 years later, and ran for the first time in my life at 27 years old after being told at 6 years old that I'd be a full time wheelchair user by 30.

[–] NauticalNoodle@lemmy.ml 4 points 5 days ago* (last edited 5 days ago)

the gambler's fallacy is the opposite of what applies to #1

"is the belief that, if an event (whose occurrences are independent and identically distributed) has occurred less frequently than expected, it is more likely to happen again in the future (or vice versa)." -per wikipedia

#2 is an optimist? A glass half full type of guy maybe.

#3 i'd guess is inferring that the statistics are based on an even distribution where the failures are disproportionately made up of by the same select few surgeons. or maybe that's #2 and the scientist actually know the theory of how the procedure works in addition to what #2 knows about statistics and distributions.

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