Two listings, one title, two different objects

These two listings sit 14 bits apart — past the 10-bit threshold — so the index treats them as different objects, despite carrying word-for-word the same title.

Vesim index · October 23, 2026

Real data · from the live index
14bits differ0–10: one product14 bits: these two64
The figures

What the index measured.

14 bitsbetween the two photos
10 bitsthe merge line
12 bitsnearest pair kept apart
74,691pairs compared
The exhibit

The two listings, side by side.

  • Fingerprint · photo on the product page
    Listing A · China$4.00
    reference
    View listing
  • Fingerprint · photo on the product page
    Listing B · China$4.00
    14 bits off
    View listing

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What it means

Any engine matching on titles merges these two and reports a price comparison between two different things. That failure is invisible to the person reading it, which is what makes it worse than returning nothing.

The closest any two photographs in this index get without being merged is 12 bits. The threshold is 10. That margin is the whole safety budget of the method, and it is narrower in the live index than in the held-out calibration set, where the nearest true negative sat at 16.

Published because the boundary is where a matching method is either honest or not, and nobody shows theirs.

Scope. This comes from one catalogue of 376 products. It is a real property of these listings, not evidence about the wider market, because no second store is connected yet.

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These two listings sit 14 bits apart — past the 10-bit threshold — so the index treats them as different objects, despite carrying word-for-word the same title.

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Shared links carry the findingThe link previews as this card, drawn from the live index.rsquo;s own preview card, drawn from the live index.

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Same photo, every price.

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