zlacker

This is a fantastic way to respond to an old comment.

Really interesting analysis. Thanks for sharing this!

I must be too active on HN when my username is showing up in these lists.

>>echelo+(OP)
One makes do as one must. Desire paths and all that jazz.

I've been having fun going through the data, and yes, there are some interesting bits that turn up. Quite a few unexpected. Validating the "flamewar detector" wasn't on my bingo card, but I've largely done that.

I'm also ... far too well represented in the data....

>>dredmo+r5
> Validating the "flamewar detector" wasn't on my bingo card, but I've largely done that.

> there are some interesting bits that turn up.

More on these items, please!

>>echelo+bc
Mostly addressed in the Mastodon thread linked above. A few recent HN comments:

<https://hn.algolia.com/?dateEnd=1690179064&dateRange=custom&...>

- "Most loved" US states, US cities, and international "global" cities in HN titles. (The first was the initial question sparking this study.) See: <https://toot.cat/@dredmorbius/110448411493288809>

- Variations in mentions of New York <something>: <https://toot.cat/@dredmorbius/110448429723139103>

- Most-mentioned companies. Google dominates overall, Apple seems to run 2nd, though Facebook is close on its tail: <https://toot.cat/@dredmorbius/110449891268489784>

- The list of obituaries -- "X has died" posts.

- Sites HN cares about being down: <https://toot.cat/@dredmorbius/110454565193449254>

- Past decades represented in FP articles: <https://toot.cat/@dredmorbius/110449005054961988>

- Things that suck, rock, will fail, etc.: <https://toot.cat/@dredmorbius/110454128168815763>

- Things that are balls: <https://toot.cat/@dredmorbius/110454182327232101>

- "Interesting" domain names: <https://toot.cat/@dredmorbius/110444667012943823> <https://toot.cat/@dredmorbius/110444675223200000> <https://toot.cat/@dredmorbius/110444967736236339>

- Seasonal variability in recruiting / hiring posts: <https://toot.cat/@dredmorbius/110450863651340466>

- Appearances of "Reddit" in front-page posts, by year: <https://toot.cat/@dredmorbius/110562736544096729>

- Classifying posts (by site), and patterns / trends in those classifications over the years: <https://toot.cat/@dredmorbius/110629931859296245>

- The Curious Decline in New York Times stories after 2019: <https://toot.cat/@dredmorbius/110444435692311695>

- Various trends in numbers and ratios of votes and comments, by story position (1st -- 30th), year, month, day of week, etc. "Spiciness" a/k/a "flamewar detector" metrics.

- Various site trends over the years, comings and goings.