Proof: https://archive.ph/AAa6k and https://archive.ph/9WGe7
More and more frequently I was getting this for the actual search terms, in quotes or not, to the point where I would Control+F any words just to find none of them existed on the page. It's the reason I switched to dumber search engines.
I've assumed the "fast path" is to search for "phrases with similar meaning", rather than actual words. But that really destroys technical searches.
To any google engineers reading:
Please add `really-verbatim` mode, indicated by backtick quotes, which also requires strict matching of punctuation.
I wonder if that will ever be worth the hardware cost. Back when I did some coursework on information retrieval, it seemed that you get superlinear savings via reducing the cardinality of tokens. So you'd do stemming, remove all punctuation, words that are too frequent ("do", "be", "and", "or", ...)... Basically remove all grammar. You do the same to your search query and the index. This intuitively reduces your compute by at least an order of magnitude, especially for languages with rich grammar (e.g. stemming nouns in Polish reduces the cardinality of tokens by a factor of 7 and verbs by a factor of 162).
[::]
as 8192kjshad09- suggested earlier in the thread. What standard index results are you going to filter? Since "[::]" isn't in the index, you won't have anything to go on. To do your back-tick really-verbatim searches, the index has to be enlarged.
I have noticed a general decline in search quality over the last couple of years, but nothing specific to quotes.
I realise I'm not saying anything particularly useful with this comment, but I just thought I'd add another datapoint.
Edit: Thinking more, my biggest issue is when the quoted text occurs in the "recommended similar posts" section of a page (particularly common with reddit). That section gets re-rendered on each view, so it probably won't be there once I click the result.