{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreic7zw5khulja4rljhcammnhpciod2savtuqjdl5nlle5htgdztkwu",
    "uri": "at://did:plc:q27hltg3oatmy4g7oio4vbc3/app.bsky.feed.post/3mkv2ytwsiic2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreie46zcdwost2ncfbjnou267xdtku52zmskglqjg6ntcdogumk23lm"
    },
    "mimeType": "image/jpeg",
    "size": 103466
  },
  "path": "/space/exoplanets/scientists-identify-10-000-impossible-exoplanet-candidates-potentially-tripling-the-number-of-known-alien-worlds",
  "publishedAt": "2026-05-02T13:00:00.000Z",
  "site": "https://www.livescience.com",
  "tags": [
    "Exoplanets",
    "Space",
    "Astronomy",
    "Planets"
  ],
  "textContent": "A new study has identified a potentially record-breaking haul of transiting exoplanets, thanks to a machine learning algorithm that analyzed the light curves of more than 80 million previously overlooked stars.",
  "title": "Scientists identify 10,000 'impossible' exoplanet candidates, potentially tripling the number of known alien worlds"
}