<p>I agree with @Tim's reasoning that a &quot;everything new in stats&quot; thread would be unmanageable and not very helpful. Part of the problem is the open-ended timeframe.</p>
<p>One option might be to ask a question on the main site with a limited time-frame and perhaps topic. Probably best if asked somewhat retrospectively rather than as a constantly ongoing thread in which recent answers get buried.</p>
<ul>
<li>&quot;What were the big developments in machine learning in 2022?&quot;</li>
<li>&quot;What were the major statistics methodology publications in 2023 Q1 (Jan-Mar)?&quot;</li>
</ul>
<p>I think questions like those would be considered on-topic here, though choosing the landmark developments is obviously subjective (and easier in retrospect). I don't know what quality of answers they would bring or whether asking in a different forum would do better.</p>
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<p>EDIT: I think @gung is right that the way I phrased those question suggestions, they may be liable to be closed for being opinion-based. So it would be necessary to tighten them up by introducing more objective criteria, e.g. asking which papers in a particular field from a particular period have been most highly cited, or (more subjectively) have been awarded a prize or cited by other researchers or textbooks as being particularly influential.</p>
