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For laughs: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&query=huh&sort=byDate&type=comment https://hn.algolia.com/?dateRange=all&page=0&prefix=fa

• jakear 5y ago
  Huh, this could actually be a good query for relative frequency normalization. I had been searching for a way to display trends in a way that doesn’t just reflect overall content volume, without a good way to get a number for overall query volume for a period. https://jacksonkearl.github.io/HackerTrends/?query=“Huh”&from=2006&to=now&bucket=90&scope=comments https://jacksonkearl.github.io/HackerTrends/?query=“Huh”&fro...
  • robbedpeter 5y ago
    https://en.m.wikipedia.org/wiki/Zipf%27s_law https://en.m.wikipedia.org/wiki/Zipf%27s_law The difference between a sample over a period and a Zipf distribution can be useful in determining relative differences in query frequency.