Another option would be to declare `nsigma` deprecated. This way it would be around for some time to come, but new data would avoid using it and it would be clear that that is correct. In a future release, such backward-incompatible changes could be bundled. For reference, I link here to [the Numpy deprecation policy](https://urldefense.us/v3/__https://numpy.org/neps/nep-0023-backwards-compatibility.html__;!!G2kpM7uM-TzIFchu!h-MRQLFC6twLFrV7lbOu_-sCZTYV4BOC-gq-k-aRSSm8Uv5QjEQIwhGxMrf9Z2EeDI8_n3C6L4k$ ) and [the Python deprecation policy](https://urldefense.us/v3/__https://www.python.org/dev/peps/pep-0387/*making-incompatible-changes__;Iw!!G2kpM7uM-TzIFchu!h-MRQLFC6twLFrV7lbOu_-sCZTYV4BOC-gq-k-aRSSm8Uv5QjEQIwhGxMrf9Z2EeDI8_wF3FdfI$ ) as examples of how other projects handle this kind of issue.
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