Channel
@CovidDebateCientifico
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
3,283subscribers
-8 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001362953524 |
|---|---|
| Type | Channel |
| Username | @CovidDebateCientifico |
| Created | 15 December 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/CovidDebateCientifico |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 12:34 | 3,283 | -2 |
| 14 Aug 2026, 03:48 | 3,285 | -5 |
| 10 Aug 2026, 14:34 | 3,290 | -1 |
| 7 Aug 2026, 02:15 | 3,291 | no change |
| 7 Aug 2026, 02:03 | 3,291 | first reading |
20 posts held, back to 23 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof 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 5 August 2026 |
|---|---|
| Posts held | 20 (23 June 2026 – 5 August 2026) |
| Views total | 3,737 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:30 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.
Measured directly from 12 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.
Recuerde: prevenir no es mejor que curar (si prevenir causa más daños que la enfermedad). En su “afán preventivo,” los médicos pueden llegar a causar mucho daño al promover una “tiranía de la salud” sin ciencia ni ética, sin límites. https://ojs.eumed.net/rev/index.php/educacion_analisis_social/article/view/6_GP
Gervás Salud/Health: Gogoratu: prebenitzea ez da sendatzea baino hobea (prebenitzeak gaixotasunak baino kalte gehiago eragiten baditu). “Prebentzio-ahaleginean”, medikuek kalte handia eragin dezakete, “osasunaren tirania” sustatzen baitute zientziarik eta etikarik gabe, mugarik gabe. https://ojs.eumed.net/rev/index.php/educacion_analisis_social/article/view/6_GP
Después de 5 años, por fin ha llegado el momento de la verdad. Mañana, 29 de julio de 2026, la abogada Cristina Armas y la farmacéutica Moderna se enfrentarán en el primer juicio por efectos adversos de la mal denominada "vacuna covid". Si se gana, será algo histórico y si se pierde, no podrán decir que no se luchó y peleó hasta el final. NUESTRAS REDES: https://x.com/canariasdyu Https://t.me/CanariasDespiertaUnida
Canarias Despierta y Unida: Bost urteren ondoren, azkenean egiaren garaia iritsi da. Gaur, 2026ko uztailaren 29an, Cristina Armas abokatua eta Moderna farmazialaria aurrez aurre izango dira lehen epaiketan, "covid txertoa" delakoaren ondorio kaltegarriengatik. Irabazten bada, historikoa izango da, eta galtzen bada, ezin izango dute esan ez zela borrokatu eta azken unera arte borrokatu zela. GURE SAREAK: https://x.c…
Xabi Fernandez Zubeldia Goiberrin: Hantxe ikusi nuen deigarria egin zitzaidan irudi bat. Plastikozko poltsa pare bat lurrean zituela, mugikorrari begira zegoen emakume bat. Hasiera batean pentsatu nuen bera ere nire egoera bertsuan egongo zela eta horregatik zegoela bertan. "X laborategitik nator. Pilula berri batzuk merkaturatu ditugu eta erakutsi nahi nizkizueke" , jarraitu zuen. Medikuak horrelako egoeretara ohi…
⭕ Alejandro, enfermero de Albacete, fue sancionado con cuatro años y medio de suspensión de empleo por negarse a administrar vacunas contra la COVID-19 a sus pacientes, alegando motivos de conciencia y preocupaciones sobre su seguridad. Ahora, la Justicia le ha dado la razón. Nuestro reconocimiento y respeto para quien decidió mantenerse fiel a sus convicciones pese a las consecuencias personales y profesionales que…
Periodistas XLV/Big kill pharma: Alejandro, Albaceteko erizaina, lau urte eta erdiko enplegu etenaldiarekin zigortu zuten, bere pazienteei COVID-19aren aurkako txertoak emateari uko egiteagatik, kontzientzia arrazoiak eta segurtasunari buruzko kezkak argudiatuta. Orain, Justiziak arrazoia eman dio. Gure aintzatespena eta errespetua bere sinesmenei leial eustea erabaki zuenarentzat, aurre egin behar izan zien ondori…
El Dr. Silvano Baztán Guindo nos presentó su libro «Conversaciones con el inconsciente; diálogos para sanar» el pasado 4 de julio en Deusto. 📚El libro se encuentra a la venta en: www.amazon.es www.silvanobaztan.com El arte de vivir NOTA: De momento, por algún problema de la plataforma Odysee, el arranque del video parece que no va bien, aunque dura solo los primeros segundos. Continúa visionandolo. Puede que se subs…
Silvano Baztán Guindo doktoreak «Conversaciones con el inconsciente; diálogos para sanar» liburua aurkeztu zigun uztailaren 4an Deustun. 📚Liburua salgai dago hemen: www.amazon.es www.silvanobaztan.com El arte de vivir OHARRA: Momentuz, bideo honen lehen segunduetan, Odysee-ren arazoren batengatik, ondo ez doala ematen du. Jarraitu ikusten. Egunean zehar zuzentzea baliteke. ▶️https://odysee.com/@BizitzaKoordinakunde…
PRESENTACIÓN EN DEUSTO: El próximo sábado 4 de julio, a las 19h voy a presentar mi libro «Conversaciones con el inconsciente; diálogos para sanar» en Deusto. …
GAUR!!!! AURKEZPENA DEUSTUN: Datorren larunbatean, uztailak 4, 19:00etan, «Conversaciones con el inconsciente; diálogos para sanar» liburua aurkeztuko dut Deustun. silvanobaztan.com/presentacion-e
El Dr. Silvano Baztán Guindo: no queremos enfermar. Si quieres saber más acércate a la presentación del libro "Conversaciones con el inconsciente; diálogos para sanar" del DR. SILVANO BAZTÁN GUINDO. Nos vemos el sábado 4 de julio a las 19:00 de la tarde en Espacio Luzarra (espacio Artístico Cultural) c/ Luzarra, 16 bajo izqda en Deusto.
Showing the 12 most recent of 20 posts we hold for @CovidDebateCientifico. 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 — 514,963 of 1,549,376entries 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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“Bizitza-Informazioa” (@CovidDebateCientifico), 3,283 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/CovidDebateCientifico.
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.