Known unknowns and unknown unknowns, as Rumsfeld would put it.
About a decade ago I saw a very nice figure of estimates of the speed of light over time showing this effect. Unfortunately I haven't been able to find it since.
Known unknowns and unknown unknowns, as Rumsfeld would put it.
About a decade ago I saw a very nice figure of estimates of the speed of light over time showing this effect. Unfortunately I haven't been able to find it since.
https://www.nhn.ou.edu/~johnson/Education/Juniorlab/C_Speed/...
Edit: here’s some error bars!
https://www.researchgate.net/figure/Uncertainties-in-Reporte...
I think error modeling doesn't get enough attention, nor does error due to model uncertainty per se, and the paper explains the consequences of those two things pretty well from an applied perspective. I also think it nicely integrates model uncertainty, error modeling, and complex systems modeling all at once.
I don't think there's anything really groundbreaking in it but I think it does a good job of explaining the importance of certain things that are often really overlooked.
My assumption is that turbulent changes in pressure cause diffraction, causing the light to not take a perfectly straight path. I don’t know enough about physics to know if that’s right.
https://www.physicsforums.com/threads/how-does-refraction-wo... is the thread I'm basing this on