Public Evidence Lab / Dossier O-2337
Collected sample: 4 independent content items across 1 source families. Known publication dates: 2026-07-14 — 2026-10-22.
First seen 2026-07-14 · Last updated 2026-11-08 · Recalculated daily
These observations describe collected samples, not platform-wide prevalence; they cannot establish whether a problem is widespread or accelerating. Collection scope changed on 09-16 and 09-27; monthly counts must not be read as trends.
Post title: OpenAI's mistake is going to cost me $1,100
I need this for work, so I don't really have a cho…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Help with premium sub please, support cancelled my original sub I had after accidentally purchasing max sub
I already had an active Premium subscription (befo…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Cursor is doing fraud
I cancelled subscription on 23rd when the payment …
The public layer keeps only a minimal excerpt. Open the source for full context.
What this evidence does not show yet
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Scoring summary
Evidence confidence = strength × evidence volume × source diversity × payment × competition × trend × 10. Counts use independent content items; only first-hand pain, current spend, explicit willingness to pay and concrete feature requests affect the score. Repeated posts by one author are discounted. Scoring and status changes follow deterministic rules.
“Payment-backed” means first-hand payment evidence exists in the record. It does not mean the business is worth building. “Fading” is a recency tag shown alongside any evidence level, not a lower level. Read the full methodology.