6 ms·
There's an interesting discussion raging on elsewhere in the thread about the possibility for cultural adaptation that would enable us to cope with statements l
by gradys 5y ago
There's an interesting discussion raging on elsewhere in the thread about the possibility for cultural adaptation that would enable us to cope with statements like "the cancer test was positive, but there's still a decent chance you don't have cancer".
There's also an interesting question, taking your roughly 1:1 true to false positive ratio as an example, of whether the marginal true positive does more good for the world than the marginal false positive.
Side-stepping those questions though, they probably won't give this test to literally every person in the population. How much does the picture improve when you give this only to people over 50? Or only smokers? You could still massively increase effective screening for cancer with a cheap and easy test if you combine it with enough population filtering to increase the true positive/false positive ratio to something like 70-90% rather than the 50%
- nevinera 5y agoThat side-step was my actual assumption - I can't imagine that 1% of the _whole population_ currently has actionable cancer. But yes, the higher you drive the prior, the less the false-positives cost. That's a fairly normal situation - it's why they have to evaluate the cost-value of further-investigation against so many different population groups to determine the actual optimal usage. And yes, the question I was trying to prompt really is "what information would we need to have in order to know when this test is a net positive, from the patient's perspective" (and separately, "from the insurance company's perspective", since that's likely to have a very different answer).