The Strength In Numbers Podcast with G. Elliott Morris
Aug 10, 2026 · 59 min · 10 segments
On this week’s Deep Dive episode of the *Strength In Numbers* podcast, Elliott sits down with Peter Enns — Cornell University political scientist, political methodologist, and co-founder of the…
Peter EnnsGuestSo the limiting of the policies that are considered to only those policies where there's a 10 percentage point gap between preferred policy, between the rich and the middle.

But yeah, I tend to when I'm talking about it, focusing on the middle because that's the most stunning finding.

So all the arguments apply to the rich, the 90th percentile, the upper group versus the 10th income percentile, the lowest income group.
Okay, so they get this massive data set of, and like credit to them for that, right, of policy outcomes and preferences by income group.
Is it like hundreds, thousands of policies? I don't know if you know what you're talking about.

And they looked at what policies were asked about, measured policy support by income group, and then checked within the next four years, did that proposed policy or policy change become law? And if it did, we know it passed.

And then how does public opinion by each income group map on to whether the actual policy happened or not?
How much of the data, like how many policy outcomes are getting thrown out when they restrict the analysis to just this 10 percentage point gap?

Yeah, when it's the affluent versus the middle, about 80% or more are being thrown out.

And the reason is the preferences of those two income groups in the data are so similar.

It may even be closer to 90% of the, the data, um, are being discarded because there's so much agreement across those income groups.
So the limiting of the policies that are considered to only those policies where there's a 10 percentage point gap between preferred policy, between the rich and the middle.

But yeah, I tend to when I'm talking about it, focusing on the middle because that's the most stunning finding.

So all the arguments apply to the rich, the 90th percentile, the upper group versus the 10th income percentile, the lowest income group.
Okay, so they get this massive data set of, and like credit to them for that, right, of policy outcomes and preferences by income group.
Is it like hundreds, thousands of policies? I don't know if you know what you're talking about.

And they looked at what policies were asked about, measured policy support by income group, and then checked within the next four years, did that proposed policy or policy change become law? And if it did, we know it passed.

And then how does public opinion by each income group map on to whether the actual policy happened or not?
How much of the data, like how many policy outcomes are getting thrown out when they restrict the analysis to just this 10 percentage point gap?

Yeah, when it's the affluent versus the middle, about 80% or more are being thrown out.

And the reason is the preferences of those two income groups in the data are so similar.

It may even be closer to 90% of the, the data, um, are being discarded because there's so much agreement across those income groups.
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