<p>That's a valid apprehension. I would be extra vigilant to discern any patterns in the posts of any of my followed tags.</p>
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<p>Is there a way to detect trends in questions when a &quot;hot&quot; topic surfaces, i.e., who are the askers, who are the answers, what is the view and vote activity on a particular topic, etc.?</p>
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<p>You can check the <a href="https://stats.stackexchange.com/tags?tab=popular">popular</a> tags to see which ones are more frequently used; then you can check for an individual tag its <a href="https://stats.stackexchange.com/tags/bayesian-optimization/topusers">top users</a> which would show you number of questions it received over the last 7 days, last 30 days and what percentage of those were unanswered. You would also be able to check the top askers and answerers both over the past one month and all time.</p>
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<p>how can we speed up review and possible closure knowing that hot topics tend to attract bad questions, and (as an olive branch) point these askers to higher quality sources on a particular subject?</p>
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<p>I would like you to check this related post  <a href="https://stats.meta.stackexchange.com/questions/5000/what-to-do-about-wrong-questions">What to do about &quot;wrong&quot; questions?</a> in which the consensus was to</p>
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<p>write an answer that essentially explains why the question itself is mistaken, even if such an answer does not answer the question</p>
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<p>but also as whuber <a href="https://stats.meta.stackexchange.com/questions/5000/what-to-do-about-wrong-questions#comment14438_5000">noted</a>:</p>
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<p>[...] find, edit, or create a canonical answer that addresses the problematic procedure you are concerned about and propose it as the duplicate.</p>
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<p>I don't think we need an additional closure reason. Irrespective of how many such questions come, the effective way, in my opinion, is to, if it is an XY problem, make OP aware of the same and point them out a canonical post if this is available.</p>
<p>It might seem imperative that a &quot;hot&quot; topic would prompt new users ask such questions so the reviewers should be rather more attentive while reviewing <a href="https://stats.stackexchange.com/review/first-questions/">first questions</a>: implicit is the perennial request for more users from the community to come forward for volunteering in the review queues.</p>
