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It's a reliable heuristic for filtering links that usually do not stand on their own technical merit. The same applies more generally, e.g. to fancy domains, un
by forgotusername 14y ago
It's a reliable heuristic for filtering links that usually do not stand on their own technical merit. The same applies more generally, e.g. to fancy domains, university affiliations, site designs, random fashionable buzzword dropping, ...
You could call it the I Automatically Do Not Care Rule(tm).
- Someone 14y ago"X who worked at Google on Y" would be a good heuristic, if Y is a good product, but just "worked at Google"? I think Google is too large nowadays for that to be a good heuristic. As an extreme example, are you implying that people who get fired from Google are likely to make good products?
- scott_s 14y agoI think you did not finish reading his first sentence. (I did not the first time I read his comment.)
- TazeTSchnitzel 14y agoPretty much. Who says that they didn't work as a janitor?
- zobzu 14y agoWhat about reading the links and clicking on the code BEFORE upvoting? Oh wait, that's way too hard.. its like critical thinking and all that - requires thinking! And it's wayyyy too accurate too! Much better to read random "awesome" "next big thing" "former google employe" "you name it"