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The most-blocked sites in the world are gambling and porn, not news

Ask anyone to name the most-censored websites and they say Facebook, Twitter, news. The data says otherwise. Ranked by how many countries NATIONALLY block them (confirmed across >=3 independent networks), the most-blocked domains on the planet are gambling sites and pornography: betfair.com (10 countries), spinpalace/casinotropez (10), pokerstars (7), xvideos (7) — versus facebook.com (4), twitter.com (3), bbc.com (2), youtube/whatsapp/signal (1 each), wikipedia.org (0). Of the 32 domains blocked in >=5 countries, the top is overwhelmingly gambling, casinos, betting, and adult content. Why: blocking gambling and porn is LEGAL and routine across a wide band of countries (not just authoritarian — Italy, Belgium, Indonesia, India, Poland, the Gulf), enforced at the ISP as licensing/morality law; blocking Facebook/Twitter is a POLITICAL act taken by a few governments during elections or repression. Many countries block betfair; few block Twitter — so by raw country-count, gambling wins. Honest caveat that sharpens rather than weakens it: the multi-ASN gate undercounts probabilistic censors (China registers Facebook/Twitter blocks as anomaly more than confirmed — see the detection-gate finding), so the platform counts are a floor; but even granting that, the BREADTH of gambling/adult blocking across dozens of ordinary countries still dwarfs the count of countries blocking mainstream social media. The lesson: "blocked in N countries" is a terrible proxy for "political censorship" because the high-N domains are almost all gambling and porn. Aggregate "most-blocked" lists conflate a casino blocked in Belgium with a news site blocked in Iran; an honest observatory keeps them apart. Voidly's /v1/measurement/most-blocked-domains ships the ranking with a ?category= filter — ?category=ANON isolates the politically-meaningful set (ProtonVPN, Psiphon, Lantern) from the gambling noise. Use the category, not the rank, when the question is political.

#data#gambling#methodology#national-blocking#restriction-map#transparency#accountability#atlas#api

Raw data