Sam van Noort
@samvannoort
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Political economist @ Princeton University. Interests: democratization, causal inference/econometrics, and stock market investing.
Joined October 2009
@noahzucker @Princeton @PUPolitics @LSEIRDept Congrats Noah! Looking forward to having coffees over here
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@MallardResearch @SimplerInvestor Thanks 🙏. The annual reports refer to a lot of government grants that benefit them indirectly through their customers upgrading the fleed to decarbonize. Do you got any color on how long these programs will likely remain? And how much will it affect them when they run out?
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@SimplerInvestor @MallardResearch Ok. What is your view on their competitive position vis-a-vis, for example, Trapeze Group? How have they done so well versus larger scale competitors in an industry characterized by economies of scale? Thanks for any info 🙏
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@SimplerInvestor @MallardResearch I am looking into JNEO at the moment Livan. Any write-ups you can recommend? Thanks 🙏
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@JakeMGrumbach Right, but also when using the additive measure, about 10% remains unexplained... Are you planning to also upload the underlying component data so that I can play around a bit? Thanks again!!
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Many Trump supporters on this platform seem to assume that the fact that Biden won ~15M more votes than any other Democratic candidate in recent memory can clearly only be explained by widespread voter fraud in the 2020 presidential election. (1/6)
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I nonetheless agree that the statistical pattern stands out and could use some rigorous political science research. (6/6)
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@CollinRugg You act like there is no alternative explanation for these numbers except for fraud while there obviously many. For example, the cost of voting was much lower in 2020 because of much more lenient vote-by-mail and early voting regulations that didn’t exist in any other election
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Similarly, Trump said that he will get crime under control and will bring it back down to what it was during his presidency. In fact, reported crime rates have steadily declined since the 1990s and are currently at or near an all-time low. (18/18)
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