I heard someone recently tell me how using science to form views on topics (social/psychology/etc) is dangerous, because science is really about funding. AND large donors/entities who can fund science often pick science research projects that sound cool and sexy. They may not be pushing any agenda but do lean toward funding trendy ideas.
So really, science is often biased because of who hold the checkbooks. That really made me think.
1. by desire for profit
2. by desire for political gain
3. by charitable impulses by people with money to spare
Each has its problems and advantages. Best if we allow all three.
As well as those who do the science. You want tenure, you better not be too far off the beaten path.
The biggest "scandal" at this level was the "cellular immunology" folks who based entire edifices around "recognition of non-self". And then DNA sequencing came along and completely smashed that. However, those professors were still tenured.
...doesn't really make sense here.
Let's say it takes 20 years and 5+ institutions to fully explore a single avenue of research.
If you're 15 years into that research and you think there is a chance that you'll reach a breakthrough in 5 years, you're much more inclined to want your (and the other 4+ institutions) to pursue it for 5 more years rather than starting over.
That's not sunk-cost fallacy. It's more like "a bird in the hand is worth two in the bush" or perhaps confirmation bias (the inertia the scientists felt to discard their conclusions about the causes and treatment pathways for Alz).
How is that not sunk-cost fallacy?
Decision A: 5 years (after 15 already spent) = 75% chance of success
Decision B: 20 years (after 0 already spent) = 10% chance of success
In that scenario, Decision A (sticking with your current research) is more rational as long as your estimate of your chance of success is accurate. We know from the article that this is not true -- their estimates were wrong.
The sunk-cost fallacy would apply for something like:
Decision A: 20 years (after 15 already spent) = 10% chance of success
Decision B: 20 years (after 0 already spent) = 10% chance of success
Since both A and B have the same cost and same likelihood of success, you should not consider the time you've already spent. Most humans would, though.