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Should Policy Match Voters' Preferences?
Manage episode 413005733 series 2610829
How do we know if our democracy is healthy? For political scientist, the answer often comes down to things we can measure like responsiveness to voter’s wishes. But is that really the right thing to measure?
There are two camps in this debate. The empiricists want to focus on what and how we can measure things like the health of our democracy, often focusing on indicators like responsiveness, while the normative theorists want to focus on what we even mean…and what we should mean…by democratic health.
If you’ve listened to our show before, you can probably guess that we fall more into the empiricists camp, but we wanted to bring on someone who could challenge our assumptions.
Andrew Sabl is a political scientist from the University of Toronto and the author of “The Two Cultures of Democratic Theory: Responsiveness, Democratic Quality, and the Empirical-Normative Divide” in which he argues that the empiricists need to pay more attention to what they’re measuring and why.
123 episodi
Manage episode 413005733 series 2610829
How do we know if our democracy is healthy? For political scientist, the answer often comes down to things we can measure like responsiveness to voter’s wishes. But is that really the right thing to measure?
There are two camps in this debate. The empiricists want to focus on what and how we can measure things like the health of our democracy, often focusing on indicators like responsiveness, while the normative theorists want to focus on what we even mean…and what we should mean…by democratic health.
If you’ve listened to our show before, you can probably guess that we fall more into the empiricists camp, but we wanted to bring on someone who could challenge our assumptions.
Andrew Sabl is a political scientist from the University of Toronto and the author of “The Two Cultures of Democratic Theory: Responsiveness, Democratic Quality, and the Empirical-Normative Divide” in which he argues that the empiricists need to pay more attention to what they’re measuring and why.
123 episodi
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