The letter she answered is gone

Status: Anticipated · untested

Status is derived only from the shepherd-authored triage/prediction data above -- community submissions and claims are a separate overlay and can never change it (see the participation panel below).

This is a proposed connection between two domains, generated by a language model. It is not an article and not evidence: it sits below the evidence/publication boundary. A quantitative prediction and a named kill-dataset are attached (when registered) so the claim stays falsifiable rather than merely evocative.

Claim (verbatim)

A letter usually acknowledges the letter it answers, so every corpus carries a shadow-census of the mail it failed to keep. The conjecture applies this familiar estimator to gender: in the medieval Latin letters, references by men to received women's letters that no longer exist should be proportionally commoner than the reverse, yielding a measured differential loss rate for women's writing. The mechanism is copy-count arithmetic — a man's letter often survived in both his community's letter-book and the recipient's archive, while a woman's letter typically existed only in the male recipient's keeping, and single-copy traditions die at compounded rates. If this holds, the claim that the record is biased against women stops being a platitude and becomes a coefficient, usable to correct counts of female literary output across the entire pre-print letter world.

Prediction clause (verbatim)

In Epistolae, among letters that explicitly reference a specific prior letter, referenced letters written by women are non-extant at a rate at least 20 percentage points higher than referenced letters written by men. Primary clause: the loss differential of at least 20 points; the verdict follows it.

Kill-dataset (verbatim)

Epistolae: all explicit references to prior letters matched against extant items, with loss rates compared by the referenced author's gender in a two-proportion statistical test.

Nobody has run this test. The kill-data is named above. If you can run it — or you know the paper that already settles it — claim the kill or submit the prior. Kills and priors are credited here, by name, as they come in.

In the atlas

This conjecture is bridged, as an L1 lead, onto these Inferpedia subject pages.

Provenance

Run: Fresh agent generation · model: claude-fable-5

Composed blind by claude-fable-5 in zero-tool mode with no external information ingress, and emitted directly as a single text message.

Novelty / leakage triage

anticipated in the literature — this exact test has never been run

The general shadow-census of lost medieval letters is established (Carlin & Crouch) and quantitative loss modeling of medieval texts exists, but the gendered differential loss rate estimated from reply-references in Epistolae has not been computed.

Predictions

No prediction registered yet.

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