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@dantheclamman@scicomm.xyz

Post #1571925

2026-04-14 18:31 UTC

Throughout my limited time in science, I've gotten a lot of no's. I used to ask for the notes and rationales when I didn't get a grant, but over time, I realized like their reasons are usually made up to back-rationalize what is actually a gut decision by each member of the evaluation group. I was told as a grad student to re-apply for some funding when I had some more publications, but then someone else with no publication record got the award. I was told my postdoc project idea wouldn't work but then someone else was funded for a postdoc doing a very similar study design. I agonized over my CV formatting and letters when I applied for TT jobs, thinking I was missing something, but then I saw some other people's materials and realized my stuff was better. So basically I've stopped caring what they think, and they can take it or leave it lol. I no longer ask for their notes and if they provide them, I take everything with a huge handful of salt. There are a couple exceptions to this rule. For example, I thought the selection process for the Marie Curie postdoctoral fellowship (which I didn't get) was quite transparent, quantitative and rational. But usually I think the funders are actually making their decision based on vibes, and all the stuff on top is window dressing.

Replies (3)

  • @sus@timeloop.cafe 2026-04-14 18:57

    @dantheclamman I’ve long thought that there should be three categories for funding scoring - “must absolutely fund, extraordinary,” “good enough”, and “no.” The extraordinary ones get funded for sure and the good enough ones get randomly selected for funding.

    Open ##1847077

  • @dantheclamman have you seen https://www.granttremblay.com/blog/jwst-thoughts ? Especially point 4 is worth pondering.

    Open ##1847083

  • @KanaMauna@sauropods.win 2026-04-15 02:29

    @dantheclamman Over the course of my career I have probably been on a few hundred interview panels. Sometimes you’re lucky and you get a candidate that is clearly better than everybody else. But unfortunately, what often happens is you get a couple of very similarly experienced candidates and you end up deciding who moves forward and who doesn’t based on some of the most random of data points.

    Open ##1847084