Shklovsky-inspired peripheral-vision audit of a SINGLE figure or table in a quantitative-marketing paper. Forces a four-quadrant grid — Unexplained Feature, Convenient Absence, Unasked Question, Unexploited Strength — to surface what the author has stopped seeing in a coefficient plot, DiD event-study, conjoint utility plot, predicted-engagement curve, GAN attribute-axis image grid, SAE feature he
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Blindspot
A single-figure peripheral-vision audit. After weeks on a paper, the main finding collapses attention onto one feature of a plot and everything else — the spike at t=1, the missing subgroup, the heterogeneity richer than the average, the identification strength the paper undersells — goes invisible. This skill forces you to see them again.
Shklovsky's frame: art exists to restore perception, to make the stone stony again. /blindspot does that for one figure or table at a time.
[Description truncada. Veja o README completo no GitHub.]
