{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreih2bqy6duooziwm4dplmri4motvjcey5daboqkt3yrcmfy3st62um",
    "uri": "at://did:plc:zbfb6i3avrqaihcla4pvbtl5/app.bsky.feed.post/3mk6mm3pqgwi2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreidc47p3gthtifcnepnywpyz3qbf7ewmbeypxya74vjnwij2ervwcu"
    },
    "mimeType": "image/png",
    "size": 750954
  },
  "path": "/module/newswire/ext_link.php?rid=364268",
  "publishedAt": "2026-04-23T17:59:47.000Z",
  "site": "https://lxer.com",
  "textContent": "The Central Limit Theorem (CLT) states that if you take sufficiently large random samples from any population(regardless of its distribution), the distribution of the sample means will approximate a normal distribution (a bell curve). As sample size increases, this normal distribution becomes more accurate, centered around the true population mean.",
  "title": "Verification CLT via Python3.14t on top of Arch Linux with CachyOS Kenel and Cosmic 1.0.10 preinstalled"
}