Potentially, using the EA survey, you could explore how different demographics, personality types and identities (e.g., social justice activist/climate change activist) interact with different moral views or arguments for key EA behaviours such as giving to effective charities/caring about the longterm etc. Could guide targeting.
This could be very useful. Obviously the EA Survey is a particular slice, and probably not the group we are going for when we think of outreach. Patterns within this group (EA survey takers) may not correspond to the patterns in the relevant populations. Nonetheless, it is a start, and certainly a dataset I have a good handle on.
But I think we should also reach out and spend some resources to survey broader (non-EA or only adjacent-to-adjacent, or relevant representative) groups
I especially like the idea of “personality types and identities (e.g., social justice activist/climate change activist) interact with different moral views or arguments for key EA behaviours such as giving to effective charities/caring about the longterm etc.”
Recent work on de-biasing and awareness gets at this a bit, at least breaking things up by political affiliation. It might be worth our digging more closely into the Fehr, Mollerstrom, and Perez-T paper and data. It seems like a very powerful experiment tied to a rich dataset.
Yeah, I think that I forgot to add the other part of this idea which is that we would compare the EA survey against a sample from the general public so that we have both EA and non-EA responses to questions of interest. This might give a sense of where EAs and Non-EAs differ and therefore how best to message them. I think that all types of segementation, like political affiliation, would be very useful for EA organisational marketing but that’s probably worth validating with those orgs.
This could be very useful. Obviously the EA Survey is a particular slice, and probably not the group we are going for when we think of outreach. Patterns within this group (EA survey takers) may not correspond to the patterns in the relevant populations. Nonetheless, it is a start, and certainly a dataset I have a good handle on.
But I think we should also reach out and spend some resources to survey broader (non-EA or only adjacent-to-adjacent, or relevant representative) groups
I especially like the idea of “personality types and identities (e.g., social justice activist/climate change activist) interact with different moral views or arguments for key EA behaviours such as giving to effective charities/caring about the longterm etc.”
Recent work on de-biasing and awareness gets at this a bit, at least breaking things up by political affiliation. It might be worth our digging more closely into the Fehr, Mollerstrom, and Perez-T paper and data. It seems like a very powerful experiment tied to a rich dataset.
Yeah, I think that I forgot to add the other part of this idea which is that we would compare the EA survey against a sample from the general public so that we have both EA and non-EA responses to questions of interest. This might give a sense of where EAs and Non-EAs differ and therefore how best to message them. I think that all types of segementation, like political affiliation, would be very useful for EA organisational marketing but that’s probably worth validating with those orgs.