One thing you can do is collect some demographic variables on non-respondents and see whether there is self-selection bias on those. You could then try to see if the variables that see self-selection correlate with certain answers. Baobao Zhang and Noemi Dreksler did some of this work for the 2019 survey (found in D1/page 32 here: https://arxiv.org/pdf/2206.04132.pdf ).
Ah, yes, sorry I was unclear; I claim there’s no good way to determine bias from the MIRI logo in particular (or the Oxford logo, or various word choices in the survey email, etc.).
One thing you can do is collect some demographic variables on non-respondents and see whether there is self-selection bias on those. You could then try to see if the variables that see self-selection correlate with certain answers. Baobao Zhang and Noemi Dreksler did some of this work for the 2019 survey (found in D1/page 32 here: https://arxiv.org/pdf/2206.04132.pdf ).
Ah, yes, sorry I was unclear; I claim there’s no good way to determine bias from the MIRI logo in particular (or the Oxford logo, or various word choices in the survey email, etc.).
Sounds right!