23 measurements spanning 7 days, net +22. 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 10,517–10,546 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
13 Aug 2026, 02:06
10,542
-1
12 Aug 2026, 18:14
10,543
+4
12 Aug 2026, 05:42
10,539
no change
12 Aug 2026, 04:47
10,539
+2
11 Aug 2026, 16:06
10,537
+1
11 Aug 2026, 07:13
10,536
no change
11 Aug 2026, 04:16
10,536
+5
10 Aug 2026, 17:01
10,531
-2
10 Aug 2026, 06:37
10,533
no change
10 Aug 2026, 05:10
10,533
+5
9 Aug 2026, 15:12
10,528
-2
9 Aug 2026, 05:03
10,530
no change
9 Aug 2026, 04:11
10,530
-3
8 Aug 2026, 16:51
10,533
+1
8 Aug 2026, 07:47
10,532
no change
8 Aug 2026, 03:30
10,532
+3
7 Aug 2026, 14:07
10,529
-1
7 Aug 2026, 07:52
10,530
+1
7 Aug 2026, 01:21
10,529
+3
6 Aug 2026, 13:40
10,526
first reading
Engagement
20 posts held, back to 4 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
20.6%
avg views ÷ 10,542 subscribers
Avg views / post
2,170
1 post measured
Reaction rate
2.12%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 24 July 2026
Posts held
20 (4 November 2025 – 24 July 2026)
Views total
2,170
Reactions total
46
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 14:01 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
1m 54s
Average length
29s
Measured directly from 4 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
935 reactions across 20 posts, in 27 distinct kinds. The most used accounts for 42.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
400
42.8%
👍
264
28.2%
👏
49
5.24%
✍
40
4.28%
🤔
33
3.53%
😱
32
3.42%
🔥
29
3.10%
🤯
18
1.93%
👎
13
1.39%
🥰
8
0.856%
🤬
7
0.749%
👀
5
0.535%
👌
5
0.535%
🫡
5
0.535%
❤🔥
4
0.428%
😢
4
0.428%
😭
4
0.428%
🤓
3
0.321%
⚡
2
0.214%
🕊
2
0.214%
7 further kinds
8
0.856%
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 20 of the 20 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 935reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 4 November 2025 to 24 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ciencia. 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 20 most recent posts we hold for this entry, published 4 November 2025 to 24 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.
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Esta visualización no representa la forma física real del planeta. Muestra el geoide, una superficie teórica que coincide con el nivel que adoptarían los océanos si solo actuaran la gravedad y la rotación terrestre, prolongada también bajo los continentes.
El detalle clave es que sus relieves están exagerados 10.000 veces. En realidad, la altu…
🧠 El cerebro ansioso no solo se culpa: se queda atrapado en la culpa
Un nuevo estudio en Progress in Neuro-Psychopharmacology and Biological Psychiatry ha identificado un patrón cerebral asociado a la ansiedad cotidiana: las personas más ansiosas sienten más autoculpa, vergüenza y enfado hacia sí mismas, incluso sin tener un diagnóstico clínico.
La clave no es sentir culpa. La culpa puede ser útil si lleva a repara…
🧠 La adicción no va solo de la droga: va de cómo responde tu cerebro
Un estudio con 2,2 millones de personas sugiere que el mayor riesgo de adicción no está tanto en una sustancia concreta, sino en genes que influyen en el control de impulsos, la recompensa y la toma de riesgos. Es decir, pesa más 'el cableado' cerebral que la droga en sí.
Además, el trabajo distingue dos capas: una vulnerabilidad general compartid…
💊 Píldora de Ciencia: Articulación de Flexión Esférica
Imagina un joystick sin piezas que rocen. Esta articulación usa láminas flexibles en lugar de bisagras tradicionales.
El truco es que todas estas láminas apuntan hacia un mismo centro invisible. Cuando aplicas fuerza, las láminas se doblan y permiten la rotación, pero ese punto central se queda totalmente quieto en el espacio.
Al doblarse en lugar de rozar, …
🧬😰 La ansiedad no viene de un “gen del miedo”: es un mosaico de 58 piezas… y el cerebro tiene mucho que decir
El mayor estudio genético sobre trastornos de ansiedad publicado hasta la fecha acaba de poner números (y biología) a algo que en clínica se ve todos los días: la ansiedad no es una interruptor, es un espectro. En lugar de un único ‘gen de la ansiedad’, el trabajo identifica 58 variantes genéticas repartidas…
🧠🎭 La paradoja del impostor: Por qué sentirte un fraude confirma que no eres un narcisista
Un estudio reciente de la Universidad de Pensilvania ha resuelto una duda existencial para muchos profesionales de alto rendimiento. Los datos publicados en Personality and Individual Differences confirman que el 'síndrome del impostor' está fuertemente ligado al perfeccionismo rígido y autocrítico, pero es prácticamente incom…
🛌🤖 Imagínate que una sola noche de sueño pudiera delatar tu salud futura.
Eso es lo que propone SleepFM: un modelo entrenado con 585.000 horas de polisomnografía de 65.000 personas. El estudio dice poder predecir 130 enfermedades y suelta números fuertes: mortalidad (0,84), demencia (0,85), infarto (0,81), ictus (0,78) (métricas tipo C-Index/AUROC).
Todavía no es tan fácil como ponerse un smartwatch. Se captan dato…
🦟 La pérdida de biodiversidad está empujando a los mosquitos a picar más a humanos 🌍🩸
A medida que la biodiversidad se hunde en la Mata Atlántica de Brasil, los mosquitos parecen estar adaptándose de la peor forma posible: picando más a humanos. Un nuevo estudio analizó la sangre que habían ingerido mosquitos capturados en dos reservas de Río de Janeiro y, cuando se pudo identificar el origen, la mayoría de las toma…
🧠🦠 El intestino pudo “financiar” el gran cerebro humano: bacterias humanas reprograman cerebros de ratón
Un estudio en PNAS acaba de poner el foco donde menos lo esperas: el precio evolutivo de tener un cerebro grande quizá no se pagó solo con dieta o genes, sino también con microbiota. Para probarlo, usaron ratones sin microbios y los colonizaron con microbiotas de humanos, macacos y monos ardilla, elegidos para se…
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El nuevo director de CERN, Mark Thomson, comienza su mandato con una decisión contraintuitiva: apagar el Gran Colisionador de Hadrones 🔌. No es un parón por agotamiento, sino una pausa estratégica para transformarlo en el High Luminosity LHC, una versión capaz de generar diez veces más colisiones 💥.
La apuesta es clara: no buscar energías nuevas, sino med…
❤26🤔14👍4❤🔥2
Showing the 12 most recent of 20 posts we hold for @ciencia. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 124,342 of 1,151,006entries 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.
Mentions
Named by 4 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“ciencia, salud y tecnología 🧪” (@ciencia), 10,542 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/ciencia.
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.
