Event JSON
{
"id": "9c4c78bf9f47bf9d2dc07cf24315788e18ba8548c0743f1308f393c5a1e9c8c7",
"pubkey": "2d8d25645772d059064f7cfefd622cf17c36bb9a50c4b2b1850bd0a8cd34a782",
"created_at": 1699570722,
"kind": 1,
"tags": [
[
"p",
"fce803cc34ee4575afc25b34bedcfa35aab8c372e62ed6182fe6b8bebe9a53ea",
"wss://relay.mostr.pub"
],
[
"p",
"01b564093b88a80fa5269f27044e1dea1d832f56f9b40f2064a6ba39506f27e2",
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],
[
"e",
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],
[
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"activitypub"
]
],
"content": "nostr:npub1ln5q8np5aezhtt7ztv6tah86xk4t3smjuchdvxp0u6uta056204q45xyw6 We have a similar situation in data science / statistics. Back in grad school, a few students needed stat consulting help would come with data that didn't make any sense for their project, yet were totally convinced they did the right thing.\n\nJust like with programming: Garbage in, garbage out!",
"sig": "cb7509d7b91bbff974fda20f21ce744d0a76f3accff97f715116f5815d7ff09656da1e66b694334628337bb6e6998ec2dd930855cd88a6b01f8ba3149bb8f3f1"
}