One more analysis, inspired in part by Gwern’s comment here.
In my first analysis I broke people into two groups using a cutoff at the bottom of the distribution, giving anything vs. giving nothing. But if we care about how much money charities receive, then we should care more about the top of the distribution, because that’s where most of the money is coming from (80-20 rule and all).
So, let’s focus on the top of the distribution by putting a cutoff up there. $1000 is an especially convenient Schelling point, since it is the 80-20 point among donors: 21.8% of those who gave to charity gave $1000+, and they accounted for 81.4% of the donations.
1164 people answered the question about moral views, and 10.8% of those reported giving $1000 or more to charity (this counts those who left the charity question blank in the under-$1000 group). Breaking that down by consequentialism:
12.5% of consequentialists gave $1000+ 7.7% of non-consequentialists gave $1000+ p = .01.
Earlier, I found that consequentialists and non-consequentialists are equally likely to give to charity (vs. giving nothing). But here, we see that consequentialists are more likely to be big-money donors ($1000+).
Age, income, and religiosity are also significantly predictive of giving $1000+, and consequentialism remains a significant predictor (p=.002) after controlling for them.
One more analysis, inspired in part by Gwern’s comment here.
In my first analysis I broke people into two groups using a cutoff at the bottom of the distribution, giving anything vs. giving nothing. But if we care about how much money charities receive, then we should care more about the top of the distribution, because that’s where most of the money is coming from (80-20 rule and all).
So, let’s focus on the top of the distribution by putting a cutoff up there. $1000 is an especially convenient Schelling point, since it is the 80-20 point among donors: 21.8% of those who gave to charity gave $1000+, and they accounted for 81.4% of the donations.
1164 people answered the question about moral views, and 10.8% of those reported giving $1000 or more to charity (this counts those who left the charity question blank in the under-$1000 group). Breaking that down by consequentialism:
12.5% of consequentialists gave $1000+
7.7% of non-consequentialists gave $1000+
p = .01.
Earlier, I found that consequentialists and non-consequentialists are equally likely to give to charity (vs. giving nothing). But here, we see that consequentialists are more likely to be big-money donors ($1000+).
Age, income, and religiosity are also significantly predictive of giving $1000+, and consequentialism remains a significant predictor (p=.002) after controlling for them.