26 measurements spanning 30 days, net -84. 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 12,991–13,101 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
5 Sept 2026, 13:18
13,004
-6
3 Sept 2026, 11:58
13,010
-6
2 Sept 2026, 09:07
13,016
-5
1 Sept 2026, 10:57
13,021
-3
31 Aug 2026, 07:38
13,024
-4
30 Aug 2026, 07:54
13,028
-3
28 Aug 2026, 09:24
13,031
-2
27 Aug 2026, 12:04
13,033
-4
26 Aug 2026, 10:34
13,037
-4
25 Aug 2026, 14:07
13,041
+3
24 Aug 2026, 12:37
13,038
-2
22 Aug 2026, 20:25
13,040
+5
20 Aug 2026, 13:42
13,035
-5
19 Aug 2026, 13:13
13,040
-1
18 Aug 2026, 15:02
13,041
+6
17 Aug 2026, 13:35
13,035
-9
14 Aug 2026, 19:55
13,044
-13
13 Aug 2026, 08:53
13,057
+2
12 Aug 2026, 07:36
13,055
-8
11 Aug 2026, 07:23
13,063
first reading
Engagement
80 posts held, back to 22 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.9%
avg views ÷ 13,004 subscribers
Avg views / post
1,940
57 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
57
of 80 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 2 September 2026
Posts held
80 (22 July 2026 – 2 September 2026)
Views total
110,605
Reactions total
1,150
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:47 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
11m 17s
Average length
48s
Measured directly from 14 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
1,560 reactions across 77 posts, in 38 distinct kinds. The most used accounts for 24.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
375
24.0%
❤
191
12.2%
🤔
133
8.53%
😱
131
8.40%
💩
98
6.28%
👏
91
5.83%
🔥
91
5.83%
😁
85
5.45%
🤡
75
4.81%
👎
64
4.10%
🤯
37
2.37%
🤪
30
1.92%
🖕
18
1.15%
😎
14
0.897%
😨
13
0.833%
🥴
12
0.769%
🤬
10
0.641%
🤮
10
0.641%
🥱
9
0.577%
😐
8
0.513%
18 further kinds
65
4.17%
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 80 of the 80 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 1,637 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 22 July 2026 to 2 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.
🤖 Los Mac de Apple ganan terreno en los laboratorios de IA
Según reportes, OpenAI habría adquirido decenas de miles de Mac mini y Mac Studio para entrenar sistemas mediante reinforcement learning —aprendizaje por prueba y error— y desarrollar agentes capaces de usar ordenadores.
La misma información señala que Anthropic está alquilando ordenadores Mac a través de Amazon Web Services. El motivo sería que, para ciert…
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El sistema conserva la actuación, la sincronización de labios, los movimientos de cámara y los efectos visuales, manteniendo la coherencia de los detalles. La herramienta …
🤖 Anthropic presenta Fable 5.1: más rendimiento y hasta un 45% menos de coste
Anthropic lanzó Claude Fable 5.1, su nuevo modelo para programación, investigación y tareas de conocimiento. En Terminal-Bench 4.0 alcanzó un 55,8%, frente al 42% de la versión anterior; en Terminal-Bench-Science llegó al 52,6%, más del doble que su predecesor.
El modelo también reduce el gasto: las lecturas de caché —información reutiliz…
✳️ La UE somete a ChatGPT a las reglas de los buscadores
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Las tres plataformas disponen de cuatro meses para evaluar y reducir riesgos sistémicos relac…
✳️ En las entrevistas remotas, hasta mover las manos sirve para demostrar quién eres
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La medida responde al uso de herramientas de IA para hacer tramp…
✳️ OpenAI, Google y Anthropic piden reforzar la ciberseguridad frente a la IA
OpenAI, Google y Anthropic reclaman mayores defensas para hacer frente a los riesgos de seguridad asociados al avance de la inteligencia artificial.
Su propuesta incluye emplear sus propios sistemas de IA para detectar y responder a amenazas. La paradoja es que esas mismas herramientas también pueden crear nuevos riesgos, mientras que las…
✳️ Google lleva el dictado de Gemini a cualquier campo de texto web
Google integra Gemini 3.5 Transcribe, una herramienta de conversión de voz a texto, para permitir que los usuarios dicten directamente en cualquier campo de escritura de internet, sin depender tanto del teclado.
La función puede facilitar la navegación y la comunicación a personas con dificultades para escribir, además de agilizar tareas cotidianas…
✳️ Terence Tao advierte del coste invisible de acelerar la ciencia con IA
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✳️ wikiHow demanda a OpenAI por usar sus artículos para entrenar IA
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👍8😱4👀3❤2
Showing the 12 most recent of 80 posts we hold for @GeneracionIA. 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
Named by 8 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
Buzz 💬 Citas @buzzcitas · 63,858 Telegram ranks this channel #13 of 82 here — alongside 81 others — read 21 August 2026
IA VIAJERO 🤖 @IAVIAJERO · 35,501 Telegram ranks this channel #16 of 78 here — alongside 77 others — read 4 September 2026
Buzz💡 Datos interesantes @buzzdatos · 122,253 Telegram ranks this channel #20 of 83 here — alongside 82 others — read 13 August 2026
La señal curiosa @Curiosa_Senal · 34,074 Telegram ranks this channel #23 of 77 here — alongside 76 others — read 3 September 2026
películas y series 🍿 @peliculas · 485,776 Telegram ranks this channel #24 of 52 here — alongside 51 others — read 24 August 2026
Sabias que? @sabiasqueoficial · 38,048 Telegram ranks this channel #31 of 74 here — alongside 73 others — read 31 August 2026
Buzz 📚 Historia @buzzhistoria · 75,979 Telegram ranks this channel #31 of 80 here — alongside 79 others — read 19 August 2026
XROMOSOMA EXTRA @xromosoma_extra · 31,931 Telegram ranks this channel #37 of 66 here — alongside 65 others — read 5 September 2026
Cosas que no sabías💡 @curiosidadesss · 50,876 Telegram ranks this channel #38 of 80 here — alongside 79 others — read 25 August 2026
Billonario @ibillonario · 53,049 Telegram ranks this channel #43 of 83 here — alongside 82 others — read 24 August 2026
Soyuz 📚 Historia @SoyuzHistoria · 58,017 Telegram ranks this channel #52 of 75 here — alongside 74 others — read 22 August 2026
Sabias que? @sabiasque · 161,760 Telegram ranks this channel #55 of 79 here — alongside 78 others — read 12 August 2026
📚 DATOS CURIOSOS 🔍 @DatosCuriosos · 32,188 Telegram ranks this channel #56 of 76 here — alongside 75 others — read 5 September 2026
Tips de Telegram @TelegramTipsES · 1,516,303 Telegram ranks this channel #78 of 85 here — alongside 84 others — read 14 August 2026
This channel appears in 14 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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“Generación IA | ChatGPT, Inteligencia artificial, AI, Midjourney, tecnología, innovación, tech” (@GeneracionIA), 13,004 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/GeneracionIA.
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.