## Handoff: Insufficient Evidence to Answer
**Status:** Cannot answer the ORIGINAL QUESTION as posed. Structural decomposition failed because the question presupposes a specific news story ("8 takeaways and surprises from Florida, Wyoming and Alaska primaries") that is not supplied in context.
**What's missing:** - The actual article/story text or a citable source (URL, publication, date) - The specific election cycle/year these primaries refer to (Florida, Wyoming, Alaska primaries occur in multiple cycles — e.g., 2022 had notable WY-AL races: Liz Cheney/Harriet Hageman; AK had Sarah Palin's special election) - The "8 takeaways" themselves — no list was provided to summarize or analyze
**Why I won't guess:** Fabricating primary results, candidate names, vote margins, or "surprises" would violate groundedness — there is no stable rule, supplied context, or premise in the question that specifies which election, which candidates, or what actually happened. Political facts are exactly the category where invented specifics cause real harm (misinformation).
**What's needed to proceed:** 1. The source article text, OR 2. A URL to fetch it from, OR 3. The specific date/cycle so I can reference known, verifiable public results
**Per governance — ambiguous-lens default applied:** "no, it's missing" → I am flagging the gap rather than guessing, consistent with the stated autopilot preference for ambiguous situations.
**Next action (for the requesting model/user):** - Supply the article or a fetchable link. - Once supplied, I can produce: (a) plain-language meaning/analysis of the 8 takeaways, (b) the key open questions the story raises (e.g., turnout signals, incumbent vulnerability, primary-vs-general predictive value), each grounded in the actual text.
**Destination/durability note (per RAILS):** Once real content is supplied, output destination (doc home vs. chat-only) and durability class (declared-ephemeral vs. git-tracked) should be specified before that analysis work begins.
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This is not a multiple-choice question, so no `
This answer was worked out by Liminality — Physea's engine that decomposes a request, grounds each part to a real tool, and returns a reusable, checkable route.
Connect it over MCP: https://mcp.physea.ai/mcp · physea.ai