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Telegram profile photo for Dr. Angel Ruiz-Valdepeñas

Channel

Dr. Angel Ruiz-Valdepeñas

@Dr_Angel_Ruiz_Valdepe_as

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

10,880subscribers

-64 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001415343907
TypeChannel
Username@Dr_Angel_Ruiz_Valdepe_as
Created5 February 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/Dr_Angel_Ruiz_Valdepe_as

Topic

Health & wellness — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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.

Growth

10,88010,94410,9126 August 2026 — 10,944 subscribers6 August 2026 — 10,944 subscribers7 August 2026 — 10,939 subscribers8 August 2026 — 10,936 subscribers10 August 2026 — 10,934 subscribers11 August 2026 — 10,931 subscribers12 August 2026 — 10,929 subscribers13 August 2026 — 10,923 subscribers14 August 2026 — 10,917 subscribers16 August 2026 — 10,916 subscribers17 August 2026 — 10,913 subscribers19 August 2026 — 10,911 subscribers20 August 2026 — 10,910 subscribers21 August 2026 — 10,908 subscribers22 August 2026 — 10,903 subscribers24 August 2026 — 10,909 subscribers25 August 2026 — 10,908 subscribers26 August 2026 — 10,910 subscribers27 August 2026 — 10,912 subscribers29 August 2026 — 10,910 subscribers30 August 2026 — 10,909 subscribers31 August 2026 — 10,906 subscribers1 September 2026 — 10,904 subscribers2 September 2026 — 10,900 subscribers3 September 2026 — 10,898 subscribers6 September 2026 — 10,897 subscribers9 September 2026 — 10,899 subscribers12 September 2026 — 10,896 subscribers13 September 2026 — 10,893 subscribers15 September 2026 — 10,889 subscribers17 September 2026 — 10,880 subscribers6 August 202617 September 2026
31 measurements spanning 42 days, net -64. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 10,870–10,954 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
17 Sept 2026, 11:5810,880-9
15 Sept 2026, 09:5910,889-4
13 Sept 2026, 20:3810,893-3
12 Sept 2026, 00:5710,896-3
9 Sept 2026, 12:4110,899+2
6 Sept 2026, 03:1910,897-1
3 Sept 2026, 19:3610,898-2
2 Sept 2026, 11:5410,900-4
1 Sept 2026, 09:2510,904-2
31 Aug 2026, 11:0210,906-3
30 Aug 2026, 12:2510,909-1
29 Aug 2026, 12:5410,910-2
27 Aug 2026, 10:1310,912+2
26 Aug 2026, 10:4610,910+2
25 Aug 2026, 10:1810,908-1
24 Aug 2026, 06:5710,909+6
22 Aug 2026, 14:3710,903-5
21 Aug 2026, 08:1510,908-2
20 Aug 2026, 08:0310,910-1
19 Aug 2026, 10:3810,911first reading

Engagement

156 posts held, back to 30 July 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 40 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.02%
avg views ÷ 10,880 subscribers
Avg views / post
546
31 posts measured
Reaction rate
2.36%
reactions ÷ views · ER floor
Posts in window
31
of 156 held

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. It is computed over the 30 of 31 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 September 2026
Posts held156 (30 July 2026 – 1 September 2026)
Views total16,934
Reactions total385
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Sept 2026, 19:59 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.

What this channel posts

Video runtime
2h 31m
Average length
4m 53s

Measured directly from 31 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.

Reaction mix

2,281 reactions across 150 posts, in 11 distinct kinds. The most used accounts for 37.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤85437.4%
👍67529.6%
👏47520.8%
😢682.98%
💯612.67%
🙏602.63%
👎391.71%
😍200.877%
🤔130.57%
😭100.438%
😁60.263%

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 150 of the 156 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 2,281 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 156 most recent posts we hold, published 30 July 2026 to 1 September 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.

Recent posts

1 Sept 2026, 19:06 UTC100 views4 reactionsread 1 September 2026
Forwarded from @medicosporlaverdadESPPhoto

D. BRIGITTE BURCHARTZ (Terapeuta) V CONGRESO MÉDICO- CIENTÍFICO- JURÍDICO INTERNACIONAL DE MÉDICOS POR LA VERDAD: "Tratamientos, soluciones y esperanzas en el mundo post-pandémico" 25, 26, 27 SEPTIEMBRE 2026 VILAGARCIA DE AROUSA (Galicia) 👉EN ESPAÑA ▶️ APERTURA DE INSCRIPCIONES : 👉En el correo electrónico : [email protected] 👉WhatsApp :+34650525507

❤4

1 Sept 2026, 19:05 UTC74 views3 reactionsread 1 September 2026
Forwarded from @InmaculadaFdezVideo

📹 Vídeo-respuesta a dos catedráticos que hablan en medios de comunicación y redes sociales (Instagram), y que se alían con el discurso ignorante y mentiroso; el mismo discurso oficialista que tratan de mantener los influencers afines a la industria de la Farma. Ignoran y no quieren estudiar ni leer, prefieren desinformar a defender la verdad y la salud. Pero la mentira tiene las patas muy cortas. Y la ignorancia s…

👏3

1 Sept 2026, 07:07 UTC636 views12 reactionsread 1 September 2026

RECORDATORIO DE LOS CONFLICTOS DE INTERÉS DE LA OMS "Conversación" entre Cristina Martín y una IA, sobre el papel de Bill Gates en la OMS y en los medios de comunicación https://www.instagram.com/reel/DYjcga8RIFQ/?igsi=eHR2YmF2cGVnc3Zv

❤12

31 Aug 2026, 20:06 UTC531 views10 reactionsread 1 September 2026
Forwarded from @medicosporlaverdadar

Paracetamol, Tylenol, en embarazadas, asociados al desarrollo de autismo en los bebes. Informe de este estudio a su médico amigo o familia, salve a algún bebe hoy. https://www.bitchute.com/video/g21YT8wJ5rV6

👍8❤2

31 Aug 2026, 20:06 UTC560 views10 reactionsread 1 September 2026
Forwarded from @medicosporlaverdadar

https://www.youtube.com/watch?v=w3rBuweIUh8 *Chinda Brandolino: los secretos que Fauci no quiere revelar sobre el Covid* La Dra. Chinda Brandolino analiza la polémica en torno a Anthony Fauci, señalado por negarse a responder preguntas ante el Senado de Estados Unidos. ¿Qué información permanece oculta sobre las decisiones tomadas durante la pandemia de Covid-19?

👍10

31 Aug 2026, 19:01 UTC486 views14 reactionsread 1 September 2026
Forwarded from @medicosporlaverdadESPPhoto

Dr. MIGUEL GARCÍA BÁEZ (Médico pediatra) V CONGRESO MÉDICO- CIENTÍFICO- JURÍDICO INTERNACIONAL DE MÉDICOS POR LA VERDAD: "Tratamientos, soluciones y esperanzas en el mundo post-pandémico" 25, 26, 27 SEPTIEMBRE 2026 VILAGARCIA DE AROUSA (Galicia) 👉EN ESPAÑA ▶️ APERTURA DE INSCRIPCIONES : 👉En el correo electrónico : [email protected] 👉WhatsApp :+34650525507

❤14

31 Aug 2026, 05:49 UTC≈1,590 views21 reactionsread 1 September 2026

https://x.com/dejanirasilveir/status/2093785075947094233

👍21

30 Aug 2026, 17:25 UTC≈1,390 views23 reactionsread 1 September 2026
Photo

https://www.facebook.com/share/v/1DWBiqp9DQ/

❤23

30 Aug 2026, 09:30 UTC810 views16 reactionsread 1 September 2026

CARTA ABIERTA AL PRIMER MINISTRO BRITÁNICO https://www.hartgroup.org/an-open-letter-to-our-fifth-prime-minister/ Suspender las vacunas de ARNm a la espera de pruebas de seguridad independientes 27 de agosto de 2026 Carta conjunta de: CCVAC – Consejo Asesor sobre Vacunas contra el Covid para Niños HART – Equipo Asesor y de Recuperación Sanitaria The Perseus Group UKMFA – Alianza por la Libertad Médica del Reino…

❤12👏4

30 Aug 2026, 00:46 UTC661 views18 reactionsread 1 September 2026
Forwarded from @InmaculadaFdezVideo

💥 ¿Por qué nadie habla de las MUERTES NOTIFICADAS tras la aplicación de las VACUNAS? 💥 ¿Valen menos los niños muertos por causa de las vacunas, aún siendo muchos más, que si hubieran muerto por enfermedades supuestamente prevenibles por las vacunas? ¿Por qué salen en todos los medios de comunicación dos muertos por sarampión -a los que no se dió vitamina A, que les habría salvado-, y no salen en los medios de comun…

👍7❤6💯5

30 Aug 2026, 00:43 UTC563 views13 reactionsread 1 September 2026
Forwarded from @DraNataliaPrego

EVidencia Incontestable: "Elimina este correo y bórralo del archivo de eliminados". Anthony Fauci ordenando destruir registros públicos en 2012. Ojo al dato: El fraude documental de 2012 queda fuera de su blindaje. La ley federal es clara. Anthony Fauci juró ante el Congreso que jamás destruyó registros oficiales. Este correo de 2012 demuestra que ordenó borrar el rastro de las alertas sobre el "virus del juicio fi…

👏13

30 Aug 2026, 00:43 UTC474 views19 reactionsread 1 September 2026
Forwarded from @DraNataliaPregoVideo

MÉDICOS POR LA VERDAD LUCHANDO DESDE EL PRINCIPIO...💫💫 👉Rebeca me envió este video con este precioso mensaje : "Te lo mando porque esta bastante chulo. Darte y daros la enhorabuena a todos los médicos de vocación que habéis luchado por la verdad que ahora se está exponiendo y daros las gracias infinitas a todos porque sin vosotros no habría habido ninguna opción. Habéis salvado a la humanidad y algún día seréis rec…

❤13💯5👏1

Showing the 12 most recent of 156 posts we hold for @Dr_Angel_Ruiz_Valdepe_as. 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.

Forward network

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.

Mentions

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Movimiento Asistencia Integral
@movimiento_asistencia_integral · 28,065
Telegram ranks this channel #6 of 80 here — alongside 79 others — read 10 September 2026
Natalia Prego Cancelo MD, Dra, oficial Canal de difusión
@DraNataliaPrego · 24,594
Telegram ranks this channel #7 of 89 here — alongside 88 others — read 15 September 2026
LIBERUM ASOCIACION
@liberumasociscion · 38,102
Telegram ranks this channel #15 of 84 here — alongside 83 others — read 31 August 2026
EL AULLIDO CANAL Fernando López-Mirones
@elaullido · 43,501
Telegram ranks this channel #15 of 88 here — alongside 87 others — read 28 August 2026
HealthBest Juan Zaragoza
@healthbest · 36,653
Telegram ranks this channel #20 of 77 here — alongside 76 others — read 1 September 2026
COMUSAV EN ESPAÑOL
@comusav · 58,333
Telegram ranks this channel #28 of 73 here — alongside 72 others — read 22 August 2026
Akasha Comunidad
@akashacomunidad · 49,959
Telegram ranks this channel #30 of 87 here — alongside 86 others — read 25 August 2026
Josep Pàmies Oficial
@JosepPamiesOficial · 73,060
Telegram ranks this channel #32 of 83 here — alongside 82 others — read 19 August 2026
Un Abogado contra la Demagogia
@UACDE · 58,041
Telegram ranks this channel #57 of 86 here — alongside 85 others — read 22 August 2026

This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

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 September 2026 — this entry's latest reading, not the date you are reading this.

“Dr. Angel Ruiz-Valdepeñas” (@Dr_Angel_Ruiz_Valdepe_as), 10,880 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Dr_Angel_Ruiz_Valdepe_as.

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.