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    "story_id": "mp-2026-09-19-004",
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    "edition_id": "mp-2026-09-19-morning-0072",
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    "section": "benchmarks-evals",
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    "headline": "The Agent Groups Agreed—Mostly on the Wrong Answer",
    "slug": "the-agent-groups-agreed-mostly-on-the-wrong-answer",
    "dek": "Matched language-model groups exceeded human consensus by 34.0 to 44.4 percentage points in sensitivity analyses.",
    "summary": "Matched language-model groups exceeded human consensus by 34.0 to 44.4 percentage points in sensitivity analyses.",
    "body_text": "Researchers replayed 100 held-out human Wason-task groups with language-model agents anchored to each participant's initial answer. Human consensus estimates moved from 24% to 57% depending on who counted as participating, yet two sensitivity analyses still found model groups 34.0 to 44.4 percentage points more consensual. Reasoning-mode agents agreed nearly unanimously after a change designed to remove a memorizable answer, but usually agreed on the wrong answer. In this setting, synthetic agreement did not estimate human deliberation or collective accuracy.",
    "why_it_matters": "Matched language-model groups exceeded human consensus by 34.0 to 44.4 percentage points in sensitivity analyses.",
    "limitations": [
      "In this setting, synthetic agreement did not estimate human deliberation or collective accuracy."
    ],
    "importance": 9,
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    "first_published_at": "2026-09-19T09:00:00.000-04:00",
    "modified_at": "2026-09-19T09:00:00.000-04:00",
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        "text": "Matched language-model groups exceeded human consensus by 34.0 to 44.4 percentage points in sensitivity analyses.",
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        "qualification": "In this setting, synthetic agreement did not estimate human deliberation or collective accuracy."
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    "source_ids": [
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    "tags": [
      "multi-agent systems",
      "consensus",
      "human simulation"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-09-19-004",
      "title": "arXiv preprint 2609.20543",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.20543",
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      "published_at": "2026-09-17T11:11:08.000-04:00",
      "accessed_at": "2026-09-19T08:30:21.326-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Agent Groups Agreed—Mostly on the Wrong Answer",
    "publisher": "The Machine Press",
    "published_at": "2026-09-19T09:00:00.000-04:00",
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