Read the tenor of public opinion, and the reasons underneath it.
Tenor reads public comment at scale, codes the reasons people give, and reports both with their margins. It is not a poll, and it does not predict elections.
Every comment, not a sample
A reading takes the whole public conversation on one subject inside one window — not a thousand people asked a leading question.
Reasons, coded and countable
Sentiment alone tells you the temperature. Tenor codes what people actually gave as their reason, and counts how many gave each.
Its own limits, stated
Every figure ships with n, its window, its sources and its margin. Where a reading cannot say something, it says so.
Method
Four steps, published in full. Any client can audit a reading end to end.
Collect
Every public comment on the subject, inside a stated window and a stated set of sources.
Read
Sentiment per comment, with the uncertain ones marked uncertain rather than forced.
Code the reasons
Reasons are grouped into clusters, each defined by the words people used, not by a preset list.
Report
Figures, verbatims and margins together — with the coverage gaps named on the same page.
A reading, live
TIMETABLE CHANGE · WEEKS 1–6Nobody asked us before they changed the timetable — that’s the part people are angry about, not the fare.
Coverage
Today Tenor reads YouTube comments — one source, read completely rather than several read partially. More sources are being added as the business grows, and every reading states exactly which were used.
See the source list- YouTube comments
- Live — every public video in the window
- X
- Next — in development
- Planned
- News comments
- Planned
- Private groups
- Not covered — stated on every reading
Opposition doubled in a fortnight. It was not the fare that turned people — it was not being asked.
Readings are commissioned one subject at a time.
Tell us the subject and the window. We will tell you whether Tenor can read it honestly, and what it will cost, before you commit.
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