Channel
@didierraoult
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
344subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001428551312 |
|---|---|
| Type | Channel |
| Username | @didierraoult |
| Created | Between 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/didierraoult |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 07:00 | 344 | no change |
| 8 Aug 2026, 02:46 | 344 | first reading |
18 posts held, back to 5 October 2024 — 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 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 31 July 2026 |
|---|---|
| Posts held | 18 (5 October 2024 – 31 July 2026) |
| Views total | 53 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 07:00 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
121 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 71.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 86 | 71.1% | |
| ❤ | 14 | 11.6% | |
| 👏 | 11 | 9.09% | |
| 😁 | 7 | 5.79% | |
| 🔥 | 2 | 1.65% | |
| 🥰 | 1 | 0.826% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 17 of the 18 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 121reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 5 October 2024 to 31 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @didierraoult. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 18 most recent posts we hold for this entry, published 5 October 2024 to 31 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
💊 🥼 Le professeur Didier Raoult dénonce frontalement une industrie pharmaceutique qu’il décrit comme « une entité qui vend des produits, pas un ami », accusée d’avoir provoqué des centaines de milliers de morts sans jamais être tenue responsable. Il appelle à « un Nuremberg de l’industrie pharmaceutique », évoquant 600 000 morts liés à l’Oxycontin et 50 000 morts liés au “biop”, qu’il qualifie de crimes contre l’huma…
👏5
Comparatif à jour. Hospitalisation / Décès par région #ExceptionProvencale #PrRAOULT #Hydrochloroquine #OnMeurtMoinsAMarseille #MediaTrompeurs Il viendra un temps où les hommes... se donneront une foule de docteurs selon leurs propres désirs, détourneront l'oreille de la vérité, et se tourneront vers les fables. 2 Tim 4 La vérité vous rendra libre. Jean 8
🔥2
https://www.youtube.com/watch?v=mLUflDnKIec
👍2
Loi euthanasie : nouvel appel au jeûne Il y a un an maintenant, différentes organisations chrétiennes et en particulier le synode des Églises Protestantes Réformées Évangéliques (UNEPREF) avaient lancé un appel à la prière et au jeûne alors que la loi sur l’euthanasie commençait d’être examinée. Il est temps de rempiler: nous vivons des temps importants. https://parlafoi.fr/2026/06/03/euthanasie-jeune/ Pour interp…
❤1
Photo, posted without a caption
🚨@raoult_didier : 3200+ publications, aucune fraude scientifique prouvée. Seulement 1.8 % d'études rétractées pour des formalités administratives. Juste des formalités administratives. Regardez le graphique : Raoult est dans le coin des chercheurs intègres. En face : des fraudeurs en série qui inventaient littéralement des patients et des données. Comment un « journaliste » peut-il mettre sur le même plan un product…
👍5
📽La vidéo de l’étude Pradelle-Lega est en LIGNE : 17 000 morts fantômes attribués à tort à l’hydroxychloroquine : manipulation discréditant la science française et désinformant le monde. Avec le soutien actif de Mathieu Molimard, à qui le ministère de la Santé a confié une mission contre la désinformation ! Comble de l’ironie. Étude rétractée en aout 2024. Vidéo assistée par IA. https://youtu.be/htOga12ma7g
❤5
File, posted without a caption
👍2
La venue du microbiologiste marseillais à Genève a fait coasser le marigot de la bien-pensance et d'une certaine médecine d'une manière qui ne lasse pas de nous édifier ! Petit retour sur un épisode à la fois cocasse mais aussi, à la longue et 5 années après le début du délire collectif, quelque peu lassant... Émission du 15 octobre 2025 Site de ma Web-TV : https://www.jdmichel.tv/ Pour nous soutenir : https://jdmic…
❤2
A l'occasion du dîner-débat organisé par e-convergences à Genève, il m'a été demandé de questionner le célèbre microbiologiste sur la crise Covid bien sûr et ces cinq années de folie que nous avons vécues, mais aussi sur d'autres sujets scientifiques passionnants. Nous avons ainsi évoqué la symbiose entre notre espèce et le monde microbiologique, les théories de l'évolution, notre patrimoine génique néandertalien, l…
👍2
L'Association BonSens.org passe un message à tous les détracteurs de l'hydroxychloroquine !! « Dans le contexte actuel où certains contestent encore l’efficacité de l’hydroxychloroquine, il nous parait important de vous informer de la publication de ce nouvel essai clinique randomisé en double aveugle qui vient confirmer, via une méta-analyse incluant cet essai et des essais cliniques randomisés similaires, une effic…
👍15😁3
« Nous, soussignés, membres et sympathisants de l’association BonSens.org, ainsi que citoyens attachés à la vérité scientifique et à la justice, lançons cette pétition pour exiger des excuses publiques et officielles à titre posthume au Pr Luc Montagnier pour les traitements indignes et antiscience dont il a été l’objet de la part des autorités françaises et de nombreux médias en mai 2020. Aujourd’hui, les récents dé…
👍13
Showing the 12 most recent of 18 posts we hold for @didierraoult. 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.
Citation-graph rank — 856,290 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Soutien au Professeur Raoult” (@didierraoult), 344 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/didierraoult.
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.