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Latest — 02 May 2026

Science: 20 GPs in a single District

One of the quieter successes of post-Independence India is that the gender gap in education has closed. The trajectory is plain in the historical data. In 1951, fewer than three in ten girls were enrolled at the primary level, against six in ten boys; at upper primary, girls were virtually

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Ceci N'est Pas un Proxy

Chaturvedi, Das, and Mahajan (2024) argue that female reservation in the 2015 Gram Panchayat elections raised household toilet provision more in villages with a higher Muslim share. At low Muslim share the estimated reservation effect is essentially zero. In villages where Muslims make up about a quarter of the population,

The Ties That Bound

The previous post described a conservative record-linkage pipeline: accept only high-confidence matches, flag ambiguous cases, and leave the rest unmatched. That is the right approach when false matches are more costly than missed ones, but it means the matched subset is selected on ease of matching, and estimates from it

Join, or Die

Record linkage is the problem of identifying the same entity across two or more tables that lack a shared unique identifier. You have a name, maybe a district, maybe an age, and you need to figure out which row in table A corresponds to which row in table B. When

Recommended Treatment

The effect of a treatment on an outcome depends on three things: the kind of treatment, the kind of person receiving it, and the context in which it is delivered. A ranking change and a button color change work through different mechanisms. A heavy user and a new user will

No Logbook, No Problem: Recovering LATE When You Can't Observe Compliance

Suppose you run a randomized experiment with imperfect compliance. You assigned treatment, measured outcomes, and now you want the LATE. The Wald estimator says divide the ITT by the compliance rate, $\pi = E[D_i \mid Z_i = 1] - E[D_i \mid Z_i = 0]$, and you'

Epic Children, Mostly Sons

Across 450 parent-child entries drawn from 32 epics and 23 civilizations, 85% of children are sons. 63% of couples have zero daughters, while only 6% have zero sons. I classified each entry by how well-documented the family actually is: mythological (gods like Zeus and Brahma), legendary (human figures with no

Regression to the Mean Model

Shuffle your XGBoost training data and you can get a different model. Not different hyperparameters or different features, just a different row order. With tree_method='hist' and multiple threads, the parallel quantile sketch that determines bin boundaries depends on how rows are chunked across workers (see stableboost