C’mon, Dr. Krugman! You had to know someone would check your stats. It’s not even statistically significant.pic.twitter.com/Dt5k12QBLV
A bit more fun with the Cato index of state freedom. Here's their index versus infant mortality, with size of bubbles reflecting state population. Clear positive association. What's the slogan? Live free and die?pic.twitter.com/3P1TQfMOaq
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Additional fun fact now that I’m playing w/ the data: if we limit it to personal freedom (e.g., victimless crimes, guns, tobacco, education), then the correlation is NEGATIVE and statistically significant, r = -.354, p = .012.
@CatoInstitute -
Paul knew that. He hoped we didn’t. He’s such an ass.
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I think the basic point was my original one— it’s just absurd on the face of it to say that people in states like Vermont or Hawaii are not free. It depends on defining free. Personally, I want to be free of fear that guns are everywhere, for example.
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Your point is a good one,
@NoraNewcombe! But he didn’t need to do this to make it. He’s an academic, so he needs to be more careful. Otherwise, people are going to stop taking him seriously when it matters. -
Too late
@ContraKrugman -
Well said and funny my man.
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What is their metric of freedom? What is -0.75 freedoms? What is 0.25 freedoms?
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Am I the only one who sees no association? Or positive correlation? Which by the way, has never meant one is cause of the other?
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> Am I the only one who sees no association? Or positive correlation? Krugman also writes: "Clear *positive* association." A positive correlation means: More "freedom", more infant mortality.
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Yes, if I look again at the graph, there are more circles around the “zero” parameter in freedom, so correlation is debatable. But positive correlation still does not imply causality. Or does not mean thar more freedom is a cause for more infant mortality.
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I hear "freedom's just another word for nothing left to lose"...
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The problem with extreme right wingers is the same problem as their counterparts in the left. The dogmatism and inflexibility of their ideology blinds them from changing facts and different timespic.twitter.com/NigQ0UxmCw
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Best cop out ever: "In the long run, we are all dead." ~ John Maynard Keynes
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Do you have the stats on that? Bc I don’t see an association.
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No association, go back to school
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I don't see a terribly strong association TBH
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I'm fairly confident if you re-did this graphic except it was the Cato index versus infant and maternal mortality, it would produce essentially the same graphic as this (live free and die: men only)
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