I thought this post by Justin Esarey was a fun exploration of “publication bias”, which is the bias academics feel in favor of publishing new and interesting results over negative results:

As far as I know, no one’s really tried to formally assess the impact of these phenomena or to propose any kind of diagnostic of how susceptible any particular result is to these threats to inference.

Check it out, it’s pretty neat.