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Aachentoday at 4:29 PM5 repliesview on HN

Google Trends is about searches

This is about published text. More like if Google Trends counted word occurrences on webpages. Or if Google Ngrams counted webpages instead of books

People don't write much about non-newsworthy things whereas many people search "burger" anytime they want a burger delivery. The datasets aren't usable in the same way

Edit: not to say it's not a cool product! Just keep this in mind and enjoy using it :)


Replies

Aachentoday at 4:50 PM

Someone asked an imo good question (that I was going to vouch for, idk why it was dead), but deleted it. Not sure why, but so I'll not credit the username in case they don't want that and changed some words for stylometrics avoidance

> The concept seems pretty comparable. From the title I had a good idea of what it was; when clicking on it, the visual presentation felt familiar & intuitive. \n\n Being a little less literal can be useful!

That's why I'm pointing it out: the title leads you to think they're the same metric, the page looks visually similar, and so you treat it as the same data type; but when you read the data through this lens, you draw wrong conclusions. It took me a while, scrolling down the examples, before I realised why it felt so off and that my mindset is wrong. It's what's being written about currently, not what people on HN are actually looking for

It's indeed not about being nonliteral, it's for me about having been confused about the data being shown

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swashecktoday at 6:43 PM

maybe more like google ngram viewer? https://books.google.com/ngrams/about

ytkimirtitoday at 6:42 PM

Yeah I feel like hackernews trends is alright but the post title is a bit misleading, noted

morkalorktoday at 4:41 PM

Now if Algolia had a dataset of what people are searching for on HN that'd be it

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