Yes we can! And admittedly that should have been in there already. I’ve added the numbers to Footnote 1, which now has an extra sentence reading: “3567 respondents completed the EAS survey. Of these, 1012 EAS respondents were willing to answer the FTX section of questions and 300 respondents completed the separate FTX survey, resulting in an overall sample size of 1312 for the FTX-related questions.”
Do you have any data you can share on how the population responding to the FTX section/survey differs from the full EAS survey population? E.g. along dimensions like EA engagement, demographics, … – Or anything else that could shed light on the potential selection effect at this stage? (Sorry if you say this somewhere and I missed it.) Thanks for all your work on this!
First, 80.1% of respondents who were asked to answer additional questions about FTX decided to do so. This is similar to the number of respondents (83.1%) who agreed to answer the ‘extra credit’ questions prior to us adding the FTX questions. So, it does not seem like there was a large tendency for respondents to not answer the FTX questions, compared to just a general tendency to not answer extra questions at all.
Second, we looked at whether there are differences in demographics between those who answered the FTX questions and extra credit questions (prior to FTX). We found that men were slightly less likely to answer the extra credit questions (81.8% for men and 85.7% for non-men) but more likely to answer the FTX questions than non-men (81.9% for men and 76.3% for non-men).
We also find that more engaged respondents are more likely to answer the additional questions (no surprise there).
Looking at cause prioritization, we found that higher ratings of longtermist causes and higher ratings of neartermist causes were associated with being less likely to answer this section. So, these do not seem to show a distinctive effect of longtermism or neartermism. This could simply be explained by a third factor or reflect an association with general ‘cause positivity’ (e.g. people who generally tend to rate all causes more highly are less likely to answer these questions).
We conducted a further analysis based on a cluster analysis which we had conducted previously (and which we will outline in the forthcoming cause priortization post). This groups respondents into three discrete groups: longtermists, neartermists, and a group which rates both cause areas highly (this group is disproportionately newer EAs). In this analysis there was no significant difference in likelihood to answer these questions, but people in the ‘high everything’ cluster were substantially less likely to answer these questions.
We did not find any statistically significant differences regarding race (White vs. Non-white) and age.
I might have missed this but can you say how many people took the survey, and how many people filled out the FTX section?
Yes we can! And admittedly that should have been in there already. I’ve added the numbers to Footnote 1, which now has an extra sentence reading: “3567 respondents completed the EAS survey. Of these, 1012 EAS respondents were willing to answer the FTX section of questions and 300 respondents completed the separate FTX survey, resulting in an overall sample size of 1312 for the FTX-related questions.”
Do you have any data you can share on how the population responding to the FTX section/survey differs from the full EAS survey population? E.g. along dimensions like EA engagement, demographics, … – Or anything else that could shed light on the potential selection effect at this stage? (Sorry if you say this somewhere and I missed it.) Thanks for all your work on this!
Yes we do (and thanks for the comment!).
First, 80.1% of respondents who were asked to answer additional questions about FTX decided to do so. This is similar to the number of respondents (83.1%) who agreed to answer the ‘extra credit’ questions prior to us adding the FTX questions. So, it does not seem like there was a large tendency for respondents to not answer the FTX questions, compared to just a general tendency to not answer extra questions at all.
Second, we looked at whether there are differences in demographics between those who answered the FTX questions and extra credit questions (prior to FTX). We found that men were slightly less likely to answer the extra credit questions (81.8% for men and 85.7% for non-men) but more likely to answer the FTX questions than non-men (81.9% for men and 76.3% for non-men).
We also find that more engaged respondents are more likely to answer the additional questions (no surprise there).
Looking at cause prioritization, we found that higher ratings of longtermist causes and higher ratings of neartermist causes were associated with being less likely to answer this section. So, these do not seem to show a distinctive effect of longtermism or neartermism. This could simply be explained by a third factor or reflect an association with general ‘cause positivity’ (e.g. people who generally tend to rate all causes more highly are less likely to answer these questions).
We conducted a further analysis based on a cluster analysis which we had conducted previously (and which we will outline in the forthcoming cause priortization post). This groups respondents into three discrete groups: longtermists, neartermists, and a group which rates both cause areas highly (this group is disproportionately newer EAs). In this analysis there was no significant difference in likelihood to answer these questions, but people in the ‘high everything’ cluster were substantially less likely to answer these questions.
We did not find any statistically significant differences regarding race (White vs. Non-white) and age.
Thanks, appreciate it!