Channel
@FahrenheitFrance
On this record: Topic · Growth · Engagement · Posts · Cite this entry
72subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001585921615 |
|---|---|
| Type | Channel |
| Username | @FahrenheitFrance |
| Created | Between 1 August 2021 and 6 January 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 7 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 7 October 2026 |
| On Telegram | t.me/FahrenheitFrance |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 28 September 2026 and assigned it the closest of 31 fixed categories, at 59% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Sept 2026, 03:20 | 72 | -1 |
| 9 Aug 2026, 22:15 | 73 | no change |
| 7 Aug 2026, 00:44 | 73 | first reading |
15 posts held, back to 6 January 2022 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 7 March 2022. An engagement rate over an empty window would be a number about nothing.
Bonjour à tous. Il semble que Fahrenheit soit en cours de SCAM, si ce n'est déjà fait. Nous l'avons échappé belle cette fois. Cette extrême longue attente du dépôt en USDT nous aura été salvatrice finalement... Une pensée solidaire malgré tout, à ceux qui avaient réussi à déposer directement en Indonésie.
⚠️ Certaines personnes se proposent comme intermédiaire afin de pouvoir investir sur Fahrenheit avant que l’USDT soit disponible car ils ont des comptes bancaires en Indonésie. Cela entraine bien entendu pour vous des frais de gestion supplémentaire. Personnellement, je vous recommande d’attendre l’arrivé des dépôts en USDT qui sont prévus pour fin février / début mars, cela vous coûtera moins chère sur le long terme…
+0,81% (25/01) ✅
Photo, posted without a caption
+0,75% (19/01) ✅
Photo, posted without a caption
+0,83% (14/01) ✅
Photo, posted without a caption
+0,91% (09/01) ✅
Photo, posted without a caption
+0,95% (07/01) ✅
Photo, posted without a caption
Showing the 12 most recent of 15 posts we hold for @FahrenheitFrance. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 28 September 2026 — this entry's latest reading, not the date you are reading this.
“Fahrenheit France” (@FahrenheitFrance), 72 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/FahrenheitFrance.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.