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arXiv · 2606.29842

The Squealer: Sensification of model exploration and model misfit

Andrew Gelman·Andrew H. Jaffe·Eliot Carlson·Philip Greengard
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Abstract

We introduce a method for visual and auditory feedback when exploring the fit of a model to data. Starting with a best-fit curve fit to data, the user can drag the curve to a new position and the computer will emit a squeal, becoming louder and more unpleasant as the discrepancy between curve and data increases. We demonstrate with four examples: a two-parameter curve fit to golf putting data, a four-parameter curve fit to dilution assays, a fit to cosmological data sensitive to the parameters of the Big Bang model, and a nonparametric Gaussian process fit to temperature readings.

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Andrew Gelman, Andrew H. Jaffe, Eliot Carlson, Philip Greengard. 2026-06-29. The Squealer: Sensification of model exploration and model misfit. https://arxiv.org/abs/2606.29842

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