At least when considering someone for a PhD or Masters, you'd think the point would be to learn good practice, not to actually push the field forward. There's just not as much frontier as when the rules were set.
At least when considering someone for a PhD or Masters, you'd think the point would be to learn good practice, not to actually push the field forward. There's just not as much frontier as when the rules were set.
This is not true. It's incredibly easy (and you can be infinitely lazy) to come up with any bad hypothesis that has almost no chance of turning out positive results.
Good hypothesis: Existence of Higgs boson at 125 GeV.
Bad hypothesis: Eating chocolate in the morning decreases the risk of developing lung cancer.
We value positive results more because negative results are incredibly easy to make just by coming up with bad hypotheses.
Otherwise everyone can just suck up all the funding for total garbage hypotheses that will almost definitely end up with negative results anyway.
"A mutation in the P53AIP1 has a protective effect against alzheimers"
Yeah, I totally picked a random gene off wikipedia. This will probably have a negative result.
So helpful.
Further, I don't have any reason to believe the second is a bad hypothesis because I'm not an oncologist. If an oncologist put forth that hypothesis, I'd expect other oncologists to respond. I wouldn't dismiss it outright. I'd wait to see if it made it through the natural filtering system that is academia. If the results somehow bubbled up through that system, I'd expect them to be somehow meaningful to me. I just feel there's a lack of internal support for academia's own systems, and it's creating a lot of doubled-or-worse work for new scientists.