Event JSON
{
"id": "dbcc33986b8a8aac35c3c88b7da4c62360dfb96bab1d94fd016b5a16bee59649",
"pubkey": "1915f64b15a5b115fce5f28e24734231e285f5b9a922daedc7000b3393aa9ef4",
"created_at": 1714404857,
"kind": 1,
"tags": [
[
"p",
"2b4a17d79532490690aa4930e2d7d21e3b13332a44e1de1210b8b2e333623b77",
"wss://relay.mostr.pub"
],
[
"p",
"0ecc4e999a6ece69b4a5c1de90118b96e1b0e8e863d5a5b489810557bdeb5d9f",
"wss://relay.mostr.pub"
],
[
"e",
"31e1e14d814852c65750aaafd8bb2a314990070f512fcc460a708b5067001cd0",
"wss://relay.mostr.pub",
"reply"
],
[
"proxy",
"https://mastodon.me.uk/users/krans/statuses/112355236760353032",
"activitypub"
]
],
"content": "nostr:npub19d9p04u4xfysdy92fycw947jrca3xve2gnsauysshzewxvmz8dms6kf02p Are you describing Occam's Razor? In Bayesian probability theory we can choose the simplest explanatory models by comparing estimated Occam factors (e.g. using the Bayesian information criterion).",
"sig": "1f6211167bb074d8591924ff49db8d2f8489e6a05d7dde62d242964d5ba7f0b416052962e5b21d0804a33b71746e987fc25f5bf70d81f1d3c78966900eb6de13"
}
