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Now first of all, what is an "identification question" or "ID question"? Quite simply, it is any question tagged with a tag of the form identify-this-..., in particular the tags identify-this-movie, identify-this-tv-show, identify-this-actor and identify-this-episode. For assessing those statistics, I'll mostly employ the site's real-time search features as ...


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The conjecture I'd propose is that The Princess Bride is a very popular movie - it's a cult classic. I'm certain that many people watch it and a subset of them are curious enough about that phrase to go to Google and search for it. When I search Google in an incognito Chrome window for the phrase "what does never get involved in a land war in Asia mean?&...


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You can't generate a report like that on the site directly. However, what you can use is the Stack Exchange Data Explorer (SEDE), which is a public interface to the internal site database (though, adapted for public use and updated only once a week). You can just write a few easy queries for sorting the questions as you deem fit. Assuming with "likes" you ...


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I've already posted this as an answer here, but as it relates to this question, I'll repeat my answer: Health warning - massively long answer here. There is a Conclusion/TLDR at the bottom, although I'd advise reading the key findings first, then the conclusion/TLDR. I’m posting here with some information for people to digest and reflect on now that we’re ...


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Not only HNQ, but the search engine and other websites that may have a link to the post also play the role in getting views. I have a question that had around 5k views when it got out of HNQ, but now it has over 112k views. If I put the term "Leta Lestrange fear", this question comes up on the first page. In your case, if I search the phrase "...


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You don't even need the moderator tools. You can get all this information through the Stack Exchange Data Explorer. I wrote a quick query that will return all the users who created an account with the site in the last 24 hours. As you can see this gives essentially the user profile information for each user. If you wanted the counts separated by days then I ...


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There is no way to do this using the site directly. What you can do, though, is employing the Stack Exchange Data Explorer (SEDE), which provides a public interface to SE's internal data bases (well, not exactly all the internal data, but a subset in restructured form). A query to list all users sorted by profile views could then be as easy as this one: ...


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