Hi Team,

gh-12282 noted that the sums of observed and expected counts passed to `scipy.stats.chisquare`

must be equal for the function to produce accurate p-values for Pearson’s chi-squared test. gh-13193 added a check that these sums are equal, raising an exception otherwise.

The change was quite disruptive (e.g. see gh-14298), but also seems to have caught real user errors (e.g. scipy.stats.chisquare is not working · Issue #14298 · scipy/scipy · GitHub).

Recently, a comment in gh-12282 noted a legitimate use case for the `chisquare`

function even when the total counts are not equal. To address this, gh-21695 proposes to add a `sum_check`

argument to `chisquare`

to disable the sum check.

Please join the discussion in ENH: `stats.chisquare`: add `sum_check` to disable check that total observed/expected counts are equal by mdhaber · Pull Request #21695 · scipy/scipy · GitHub!

Matt