Programming
Data visualization
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Statistics in IT
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Comments 11
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Pretty disappointing numbers for annual stats. My «Audio over Bluetooth» article is present in top daily posts every day, and it was posted in June.
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I was not aware that the time of preparation is displaying somewhere. It can be calculated by comparing the articles IDs with the nearest articles, but it's not so easy.

Or you just saved it locally for yourself?
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Out of this discussion, but you will hardly get something from post ID, since some authors regularly create a draft much earlier than publishing post, some are just posting directly. That's exactly why IDs do not correspond to time

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I am doing mostly the same, creating posts not here, but in VS Code and later just fixing mistakes in how does it look like and markdown troubles. So it's like created draft and in half an hour it was published. But just yesterday created a draft for post, I am only going to prepare this week

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That's because of topic. Some titles do really attract viewers and you get more votes and comments. So the best is statistics of votes, rating and comments normalized by views. Audience is really different for every post

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For me, the most relevant was views/bookmarks rating. It really shows that the article is useful and readers want to save this for future use.
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