{"generator":"patterns.poisson","version":1,"value":{"algorithm":"poisson","width":900,"height":600,"mode":"compare","radius":17,"candidates":30,"dot":3,"colouring":"nearest","gutter":14,"palette":["#000004","#310c5e","#71207b","#b53975","#e9666a","#feaf7b","#fcfdbf"],"seed":2270416288},"display":"Blue noise (left) vs uniform random (right) \u00b7 r = 17.0 px \u00b7 429 \u00d7 572 per panel","meta":{"palette":["#000004","#310c5e","#71207b","#b53975","#e9666a","#feaf7b","#fcfdbf"],"estimated_points":706,"guarantee":"No two blue-noise points closer than 17.0 px.","cell_size":12.02,"note":"Both panels hold the same number of points and both are random. The left one keeps a minimum separation of 17.0 px; the right one keeps no promise at all, which is why it clumps and leaves holes. The clumping is not a fault in the randomness \u2014 independent points clump, and a scatter without clumps would be the suspicious one. It is simply that \"random\" and \"evenly spread\" are different things, and most of the time what people want is the second.","stream_bytes_used":4,"rejections":0,"entropy_in_bytes":16,"duration_us":63},"receipt":{"source":"iss","source_label":"ISS Position","class":"C","class_label":"Observational","caveat":"Carries only tens of bits of genuine surprise. Always mixed with the OS CSPRNG.","narrative":"The ISS was over 19.34\u00b0 N, 115.16\u00b0 E \u2014 2,290 km south of Beijing \u2014 when this was drawn.","proof_url":"https:\/\/www.openstreetmap.org\/#map=3\/19.34\/115.16","reference":"1789408977","observed_at":"2026-09-14T18:02:57+00:00","degraded":false,"mixed_with_csprng":true,"latency_ms":192,"cached":false},"seed":{"token":"Z2S7R4M0M4N746DEHRTGKN5G88","permalink":"https:\/\/randomly.cluxnei.dev\/r\/Z2S7R4M0M4N746DEHRTGKN5G88?g=patterns.poisson&v=1&p=eyJjYW5kaWRhdGVzIjozMCwiY29sb3VyaW5nIjoibmVhcmVzdCIsImNvbG91cnMiOjcsImRvdCI6MywiaGVpZ2h0Ijo2MDAsIm1vZGUiOiJjb21wYXJlIiwicGFsZXR0ZSI6Im1hZ21hIiwicmFkaXVzIjoxNywid2lkdGgiOjkwMH0&s=iss&r=1789408977"},"render_key":"533411b3d5b466926d7144ee2df4686a56d49963351548b463ac72d334cc102e","uses_entropy":true,"reproducible":true}