4 measurements spanning 8 days, net +2. 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 576–578 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 17:23
578
+1
8 Aug 2026, 17:32
577
+1
8 Aug 2026, 03:30
576
no change
8 Aug 2026, 02:50
576
first reading
Engagement
20 posts held, back to 1 April 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
117.6%
avg views ÷ 578 subscribers
Avg views / post
680
2 posts measured
Reaction rate
0.588%
reactions ÷ views · ER floor
Posts in window
2
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 1 August 2026
Posts held
20 (1 April 2026 – 1 August 2026)
Views total
1,360
Reactions total
8
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 03:30 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.
What this channel posts
Video runtime
33m 07s
Average length
3m 19s
Measured directly from 10 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
50 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 56.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
28
56.0%
👍
18
36.0%
🥰
3
6.00%
👏
1
2.00%
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 17 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 50reactions 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 1 April 2026 to 1 August 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.
DEFICIT DE LINFOCITOS T Y SU RELACIÓN DIRECTA CON EL CÁNCER: Una de las causas principales del cáncer es una inmunodepresión especifica de linfocitos T y su signo principal es el tumor y, los síntomas se encuentran determinados por el órgano o sistema afectado. Las causas de esta inmunodepresión son múltiples entre ellas: - La tendencia hereditaria (el cáncer no se hereda, se herada la constitución de un sistema inmu…
Una alimentación cetogénica con restricción calórica reduce la glucosa y eleva las cetonas, creando un entorno metabólico desfavorable u hostil para las células cancerosas. La alimentación cetogénica busca privar del combustible (glucosa mayormente) para frenar su crecimiento. La glucosa y la glutamina son los dos principales combustibles que impulsan el crecimiento del cáncer. Dr Efrén Cabrera Rivera 🇲🇽✍️.
#Entran_dos_ranas_y_una_lagartija_a_un_consultorio_oncológico
1/3
Estimados miembros de Akasha Comunidad:
No, no es inicio de chiste el nombre de este texto. Van a ver la lógica (espero) si siguen leyendo. Pero antes, un aviso: Me encuentro al final del semestre, y preparando mi salida de campo anual. En realidad, me siento como un juglar de la época medieval que en vez de pelotas de colores, intento mantener en el…
#Entran_dos_ranas_y_una_lagartija_a_un_consultorio_oncológico
2/3 (Parte 1/3 en https://t.me/akashacomunidad/4281)
Definitivamente, es mucho más interesante (aunque más complejo) plantear un escenario en el que la presencia de una bacteria específica no es la “causa” de una enfermedad (como, por ejemplo, Helicobacter pylori que la medicina moderna asocia con úlceras gástricas y, en ocasiones, cáncer), sino que 1) es…
#Entran_dos_ranas_y_una_lagartija_a_un_consultorio_oncológico
3/3 (Parte 2/3 en https://t.me/akashacomunidad/4282)
Entonces, los autores del estudio quisieron identificar bacterias naturales (es decir, que ocurren naturalmente), que no tengan factores de virulencia y que tengan actividad contra las células tumorales. Hicieron esto al aislar bacterias del tracto intestinal de dos especies de anfibios y uno de reptil.…
EL SOL NO ES TU ENEMIGO: TE MINTIERON DURANTE 40 AÑOS.
Ya que los gobiernos y los medios masivos de desinformación no te lo informan, los ciudadanos tenemos el deber de difundir la otra campana, para que cada quien decida dónde cree que está la verdad. No todo es ni fue como te lo contaron.
En la década de 1980, los dermatólogos lanzaron una ofensiva de relaciones públicas —con ayuda de una agencia publicitaria de …
Showing the 12 most recent of 20 posts we hold for @audiossaludables. 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
Citation-graph rank — 727,198 of 1,481,306entries 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.
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.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“TU SALUD DEPENDE DE TI” (@audiossaludables), 578 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/audiossaludables.
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.
