Has methodological reductionism in genetics paid off?
Contra Elad Gil, it isn’t surprising that biomarkers are still in such a primitive state — they are a complex construct and the knowledge to develop a valid one is distributed amongst people who rarely read each other’s work.
Ian Hacking’s ‘seeing through a microscope’ is a classic and worth re-reading to consider whether it will apply to effectively ‘seeing with AI’,
Is it possible that the AI epistemic issues also apply to areas of biomedical research prone to stagnation?
On the dangers of quantifauxcation, a word I have loved since I heard Philip Stark use it.
Rare genetic variants are hard to find but we eventually figured out how to find a signal that is weak when averaged over a population and high effect for a few people. When will be understand learn to measure transformative introspective experiences rigorously and understand them?