Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 57% 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
47 measurements spanning 79 days, net -726. 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 48,244–49,188 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)
Subscribers
Change
24 Oct 2026, 02:00
48,353
-10
23 Oct 2026, 04:27
48,363
-12
22 Oct 2026, 05:51
48,375
-15
21 Oct 2026, 01:10
48,390
-9
20 Oct 2026, 00:39
48,399
-11
19 Oct 2026, 01:00
48,410
-9
18 Oct 2026, 01:18
48,419
-6
17 Oct 2026, 01:50
48,425
-29
16 Oct 2026, 01:45
48,454
-18
15 Oct 2026, 04:41
48,472
+3
14 Oct 2026, 02:56
48,469
-20
11 Oct 2026, 15:58
48,489
-25
7 Oct 2026, 08:40
48,514
-29
2 Oct 2026, 09:19
48,543
-133
18 Sept 2026, 14:36
48,676
-24
16 Sept 2026, 05:15
48,700
-19
14 Sept 2026, 14:21
48,719
-12
13 Sept 2026, 02:39
48,731
-21
11 Sept 2026, 05:17
48,752
-41
8 Sept 2026, 08:01
48,793
first reading
Engagement
239 posts held, back to 28 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 160 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.4%
avg views ÷ 48,353 subscribers
Avg views / post
8,900
127 posts measured
Reaction rate
2.05%
reactions ÷ views · ER floor
Posts in window
127
of 239 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 23 October 2026
Posts held
239 (28 July 2026 – 23 October 2026)
Views total
1,130,900
Reactions total
23,193
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 11:32 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
Photos
≈1,760
Videos
≈1,480
Links
≈1,230
Lifetime counters from Telegram’s own channel header, read 24 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2h 03m
Average length
1m 59s
Measured directly from 62 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
51,466 reactions across 239 posts, in 59 distinct kinds. The most used accounts for 24.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
12,452
24.2%
🔥
8,594
16.7%
❤
5,878
11.4%
🤬
5,592
10.9%
🤮
3,725
7.24%
🤔
2,427
4.72%
🤣
2,343
4.55%
👏
1,836
3.57%
😱
1,161
2.26%
🤯
1,033
2.01%
😁
861
1.67%
💯
703
1.37%
💩
664
1.29%
🤡
644
1.25%
👎
459
0.892%
🍾
447
0.869%
🖕
409
0.795%
😢
364
0.707%
🥱
294
0.571%
🥴
201
0.391%
39 further kinds
1,379
2.68%
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 239 of the 239 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 51,466 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 239 most recent posts we hold, published 28 July 2026 to 23 October 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.
Telegram Stars
Stars received
67
across the posts below
Posts paid on
58
of 239 we hold a reading for · 24%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @marcvidal_telegram. 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 239 most recent posts we hold for this entry, published 28 July 2026 to 23 October 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.
El Reino Unido recomienda tener agua, alimentos y suministros para tres días ante posibles interrupciones de servicios, incluidos los ciberataques.
También efectivo por si fallan los pagos electrónicos y una radio a pilas.
¿Es posible un gran apagón digital?
Análisis de lo que este caos puede estar fabricando por debajo: cada noche de disturbios abre la puerta a más control, de la calle a las redes y a lo que se puede decir. Las leyes que se aprueban pensando en el encapuchado suelen acabar aplicándose a cualquiera que proteste, y las restricciones que llegan tras el fuego casi nunca se retiran cuando vuelve la calma.
https://www.youtube.com/watch?v=OWDo9B_YzuM
Unitree presenta una especie de guardaespaldas robótico que si te mete una leche de deja listo.
Su autonomía es de 8 horas y la empresa te pide que lo uses de manera "segura y amistosa".
El animalico se llama H2-X Leyenda del Kung Fu Guardián
La vulnerabilidad crítica PHP2Shell (CVE-2026-109618/19), con una puntuación CVSSv4 de 9.2/10, afecta potencialmente al 75% de los sitios web de Internet al permitir la ejecución remota de código en los servidores.
Aunque el equipo de PHP lanzó parches de emergencia para las versiones modernas, casi el 48% de los servidores mundiales utilizan versiones obsoletas que no recibirán actualizaciones oficiales. Para mitig…
El riesgo de convertir los disturbios en una excusa perfecta para recortar libertades y ejercer control ya ha empezado...
El Gobierno francés 🇫🇷 plantea la suspensión temporal de las redes sociales para todos los ciudadanos 'para evitar los disturbios'
Lo comenté aquí https://www.youtube.com/watch?v=Ozk2V828FvQ
Hay opiniones de todo tipo. Unos dicen que es una fotografía forzada, preparada, otros que era IA (circula hace muchos año por lo que no parece que sea eso), real, o lo que sea.
Pero como metáfora funciona...
La tecnología puede abaratar el acceso a experiencias sofisticadas mientras necesidades esenciales, como una vivienda, siguen siendo inaccesibles. No hay una contradicción económica en poder conseguir un dispos…
El impacto de la era digital en el desarrollo de los niños es innegable, pero... ¿estamos midiendo bien lo que hacen, cuando, como y con quién? Los resultados de varios estudios te van a sorprender.
https://youtu.be/i9j7Rk-GPQI?si=1V76y4CQ4IWJcz20
El impacto de la era digital en el desarrollo de los niños es innegable, pero... ¿estamos midiendo bien lo que hacen, cuando, como y con quién? Los resultados de varios estudios te van a sorprender.
https://youtu.be/i9j7Rk-GPQI?si=1V76y4CQ4IWJcz20
En 1963, una aseguradora de Worcester, Massachusetts, llamada State Mutual le encargó al diseñador estadounidense Harvey Ball un dibujo para mejorar el ánimo de sus empleados tras una reorganización empresarial.
Ball creó la cara sonriente en unos diez minutos y cobró 45 dólares por el diseño. Lo que nació como una campaña interna terminó apareciendo en millones de chapas, camisetas y carteles.
La paradoja es que…
Un contraste impactante en las calles de París: Una pareja está sentada tomando bebidas en una cafetería al aire libre mientras las llamas arden a solo unos pasos de distancia.
El momento fue capturado el sábado cerca del Arco de Triunfo, en las afueras de los disturbios que estallaron durante manifestaciones por el aumento de precios, la desigualdad y el gasto público.
El video muestra a la pareja continuando su c…
Showing the 12 most recent of 239 posts we hold for @marcvidal_telegram. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Doctora Cristina Martín Jiménez @cristinamartinjimenezescritora · 56,241 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 23 August 2026
Wall Street Wolverine @wallstwolverine · 175,878 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 12 August 2026
Stark Privacy @StarkPrivacy · 19,784 Telegram ranks this channel #3 of 75 here — alongside 74 others — read 30 September 2026
Un Abogado contra la Demagogia @UACDE · 57,491 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 22 August 2026
César Vidal | Canal Oficial @esCesarVidal · 23,686 Telegram ranks this channel #4 of 88 here — alongside 87 others — read 17 September 2026
Vito Quiles 🇪🇸 @vitoquilestelegram · 148,407 Telegram ranks this channel #5 of 82 here — alongside 81 others — read 12 August 2026
Tokin Privacy @TokinPrivacy · 49,786 Telegram ranks this channel #6 of 86 here — alongside 85 others — read 25 August 2026
Daniel Estulin @EstulinDaniel · 20,344 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 27 September 2026
Alvise Pérez @Alviseperez · 599,376 Telegram ranks this channel #7 of 81 here — alongside 80 others — read 11 August 2026
PabloGilTraderOficial @PabloGilTraderOficial · 47,691 Telegram ranks this channel #8 of 88 here — alongside 87 others — read 26 August 2026
Mundo Desconocido @Mundo_Desconocido_Oficial · 28,092 Telegram ranks this channel #12 of 74 here — alongside 73 others — read 9 September 2026
🔴 ÚLTIMA HORA @ULTIMA_HORA · 36,628 Telegram ranks this channel #16 of 74 here — alongside 73 others — read 1 September 2026
David Santos @davidsantosvlog · 31,566 Telegram ranks this channel #20 of 75 here — alongside 74 others — read 5 September 2026
Forocoches @forocoches_oficial · 41,889 Telegram ranks this channel #20 of 58 here — alongside 57 others — read 29 August 2026
DESOKUPA OFICIAL @desokupaOficial · 46,883 Telegram ranks this channel #20 of 88 here — alongside 87 others — read 27 August 2026
dra_olaya_oficial @dra_olaya_oficial · 20,087 Telegram ranks this channel #21 of 79 here — alongside 78 others — read 29 September 2026
Alejandro Martinez @alejandromartinez · 21,633 Telegram ranks this channel #21 of 77 here — alongside 76 others — read 22 September 2026
ENRIQUE MORIS - Noticias @Enriquemorisoficial · 66,139 Telegram ranks this channel #21 of 83 here — alongside 82 others — read 21 August 2026
Canal de Agustín Laje @lajeagustin · 26,896 Telegram ranks this channel #22 of 91 here — alongside 90 others — read 11 September 2026
El Diestro. Opinión en libertad @ElDiestro · 32,865 Telegram ranks this channel #24 of 83 here — alongside 82 others — read 4 September 2026
ViajerosPiratas - Viajes y Vuelos baratos @Viajerospiratas · 66,805 Telegram ranks this channel #26 of 47 here — alongside 46 others — read 29 August 2026
HealthBest Juan Zaragoza @healthbest · 36,556 Telegram ranks this channel #27 of 77 here — alongside 76 others — read 1 September 2026
eraginews @eraginews · 20,054 Telegram ranks this channel #29 of 78 here — alongside 77 others — read 27 September 2026
Jorge Guerra - Canal de Historia @canaljorgeguerra · 21,857 Telegram ranks this channel #29 of 85 here — alongside 84 others — read 22 September 2026
This channel appears in 54 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“Marc Vidal” (@marcvidal_telegram), 48,353 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/marcvidal_telegram.
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.