Matthew Tyler

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Matthew Tyler

Matthew Tyler

@_mdtyler

Assistant Professor @RicePoliSci.

Houston, TX Katılım Ocak 2016
100 Takip Edilen325 Takipçiler
Matthew Tyler
Matthew Tyler@_mdtyler·
@dhopkins1776 Currently very few classes attempt to measure growth in a sincere way (e.g., some kind of pre-class test with same difficulty level as final exam).
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Dan Hopkins
Dan Hopkins@dhopkins1776·
Many agree that college grades are inflated, but there's less consensus about what grades are for in the first place. Should a high grade indicate achievement or growth during the class? Which is closest to your view? At American universities, grades should...
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Polarization Research Lab
Polarization Research Lab@PRL_Tweets·
Sharing an event that may be of interest to this community! Rare traits like support for violence, conspiracy beliefs, and unsafe health behaviors are really hard to measure! On Thursday November 13, learn from experts about the problem and solutions. eventbrite.com/e/the-rare-tra…
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Arthur Spirling
Arthur Spirling@arthur_spirling·
I think this basically correct, it vaguely pains me to say. Related: everyone loves "russet-coated captain" Cromwell, but forgets "chief of sinners" Cromwell, let alone Burford Mutiny Cromwell.
Capel Lofft@CapelLofft

People often ask 'would I have been a Cavalier or Roundhead', but the reality is that 99% of people in 2025 who think they would have been Roundheads would quickly reconsider their decision if they had a time machine & met the real Roundheads (mainly bonkers Puritan headbangers )

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Matthew Tyler
Matthew Tyler@_mdtyler·
@dhopkins1776 Instead of releasing grade scores we should release grade percentiles only. But probably every university has to do this for it to work.
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Dan Hopkins
Dan Hopkins@dhopkins1776·
Any thoughts on good solutions? In theory, we could (and some universities already do): 1) Report the median grade in the class on transcripts 2) Cap the fraction of A-range grades in some or all classes
Dan Hopkins@dhopkins1776

2 related thoughts: 1) Media outlets like the NYT cover Harvard & the Ivies way more than their size, role in undergrad ed. dictates. 2) Grade inflation is straightforwardly suboptimal for everyone--it distorts signals about the quality of student work. Hope we rein it in.

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Matthew Tyler
Matthew Tyler@_mdtyler·
@jmwooldridge Unfortunately you'll also need to rewrite the slides of many statistics professors! (Please rewrite their discussion of normal errors and binary outcomes while you're at it.)
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Jeffrey Wooldridge
Jeffrey Wooldridge@jmwooldridge·
It's 2025, and empirical researchers are still getting this sort of comment from a referee: "Please clarify how potential multicollinearity among explanatory variables was assessed and addressed in the analysis." Maybe I should drop all references from my book.
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Chenoa Yorgason
Chenoa Yorgason@ChenoaYorgason·
Just signed a lease for a really cool place in Bryan, so I figured it's time to make it online official: I'll be joining Texas A&M as an Assistant Professor of Political Science this fall! I'm so excited to gain some brilliant colleagues in a dynamic department.
Chenoa Yorgason tweet media
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John Sides
John Sides@johnmsides·
Is this because (1) people's minds are changing or (2) people now feel comfortable saying what they've always thought? We think it's #1. Other gender attitudes aren't changing, just ones about traditional gender roles. If it were #2 we'd see lots of different attitudes change.
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John Sides
John Sides@johnmsides·
Republicans have become more likely to agree that “what it means to be a man has changed and I don’t think that has been good for society.” About 75% of both GOP men and women say this.
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David Shor
David Shor@davidshor·
The share of Republican men and women who believe "women should return to their traditional gender roles" has increased by ~1.5X since 2022, with the position now achieving plurality status among GOP men.
David Shor tweet media
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Justin Wolfers
Justin Wolfers@JustinWolfers·
Look at this graph and explain to me why you think I should read this as a measure of consumer confidence rather than partisanship.
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Matthew Tyler
Matthew Tyler@_mdtyler·
@NateSilver538 A priori adopting the same weighting method as other pollsters isn't herding 🐑, especially if the pollster has been doing it all season. It's a bad idea, but that's another story.
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Nate Silver
Nate Silver@NateSilver538·
Weighting on recalled vote share is a form of herding! It's a way to ensure your polls never get too far out of line with the consensus, or the previous election. But it'll make you miss actual movement in the electorate.
Justin Wolfers@JustinWolfers

Now, @NateSilver538's key finding is that 80% of polls report a margin <2.5 points, which he says is way too few. Recall that 2-in-3 polls weight by recalled vote, and a 1-in-3 don't. Thus, I would (roughly!) expect: (2/3)x90% + (1/3)x52% = 77%. That's AWFULLY CLOSE to 80%.

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Dan Hopkins
Dan Hopkins@dhopkins1776·
As we sift through our NORC survey, another interesting result is from Haley supporters. Small n, but... In Feb./Mar., they were with Trump vs. Biden 44-29. In Sept./Oct., they were with Trump vs. Harris 52-33.
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Guilherme Jardim Duarte
Guilherme Jardim Duarte@guilhermejd1·
No defiers is a required assumption for identification of LATE in IV analysis. If that is false, the best thing you can do is to calculate bounds for the LATE. But what happens if limit the maximum proportion of defiers. For instance, what if I don't believe is > 10%?
Dr Ellie Murray, ScD@EpiEllie

Niche nerdy tweet incoming: I’m not at all sure about this instrument. The “no defiers” assumption seems unlikely to hold — is there really no possible couple who would have divorced if the husband’s workplace stayed the same but not if it had hired more women?

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Jeremy C. Pope
Jeremy C. Pope@JeremyCPope·
@_mdtyler @nytimes It would be better to show something better at conveying "roughly a tie," where the bands were less than half of the space and the points weren't quite so separated.
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Jeremy C. Pope
Jeremy C. Pope@JeremyCPope·
The amazing thing about this @nytimes graph is that it manages to have confidence bars that suggest a tie while also using a scale of 7 percentage points. It's like a class in what to do and not do in #dataviz. It's close but the confidence intervals are almost 90% of the space!
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