I am going to put together a graphing module on a web page to illustrate how Youtube's ids are influenced by the publish time so others can see what I'm seeing and confirm if my methodology is sound. If this proves to be correct, this insight will be a game changer for YT data.
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Indeed - having the ability to make a representative, random set of YT videos would be extremely powerful.
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