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Channel

Meditaciones para comenzar el día

@comienza_tu_dia

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,486subscribers

-2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001485850675
TypeChannel
Username@comienza_tu_dia
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/comienza_tu_dia

Growth

1,4851,4881,486.56 August 2026 — 1,488 subscribers6 August 2026 — 1,488 subscribers6 August 2026 — 1,487 subscribers9 August 2026 — 1,485 subscribers12 August 2026 — 1,487 subscribers16 August 2026 — 1,486 subscribers1,4866 August 202616 August 2026
6 measurements spanning 10 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 1,485–1,488 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 03:171,486-1
12 Aug 2026, 10:191,487+2
9 Aug 2026, 10:031,485-2
6 Aug 2026, 12:111,487-1
6 Aug 2026, 07:461,488no change
6 Aug 2026, 06:161,488first reading

Engagement

20 posts held, back to 7 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
32.7%
avg views ÷ 1,486 subscribers
Avg views / post
486
1 post measured
Reaction rate
0.412%
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
WindowRolling 30 days · latest post in window 31 July 2026
Posts held20 (7 February 202631 July 2026)
Views total486
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:14 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
2m 57s
Average length
59s

Measured directly from 3 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

36 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 58.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2158.3%
👍513.9%
👏513.9%
🔥38.33%
❤‍🔥12.78%
😁12.78%

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 15 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 36reactions 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 7 February 2026 to 31 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.

Recent posts

31 Jul 2026, 05:07 UTC486 views2 reactionsread 7 August 2026
Video

John Lennox ha pasado décadas defendiendo la fe cristiana como matemático, filósofo y apologista. Pero no estoy seguro de que alguna vez haya dicho algo más hermoso que esto. @Comienza_Tu_Dia

👏2

7 Jul 2026, 05:27 UTC396 views4 reactionsread 7 August 2026

El apóstol Pablo entró al cielo entre los vítores de aquellos a quienes martirizó. Así es como funciona el evangelio. @comienza_tu_dia

4

18 Jun 2026, 10:49 UTC506 views2 reactionsread 7 August 2026
Photo

Fragmento del libro Clama a Mí de Miguel Núñez. Último capítulo: oración de Daniel. @comienza_tu_dia

👍2

17 Jun 2026, 21:20 UTC384 views4 reactionsread 7 August 2026
Forwarded from @daydiarod_blog

Conocí al señor en esta vida, en mi juventud. Tuve una familia en mi niñez, aunque fue difícil para mí; en mi adultez tuve un padre que me recibió y cuidó, aunque fue difícil para él. Estuve en un ministerio... lideré varios y serví de bendición a otros, eso me guió a conocer en profundidad el evangelio. Estuve casado, me fue fatal; pero obtuve la serenidad de mirar más allá del sufrimiento propio, para comprender el

🔥3👍1

9 Jun 2026, 18:36 UTC359 views2 reactionsread 7 August 2026

🚨¡ REFLEXIÓN RELIGIOSA Y NO POLÍTICA QUE APRENDÍ DE LA NOVELA "1984"🚨 Hace unos años leí una fascinante novela de George Orwell titulada "1984". La novela describe un régimen totalitario asfixiante, caracterizado por la vigilancia constante y la represión de la individualidad. El Partido utilizaba la "virtud", la "pureza" y la "castidad" como herramientas de control político e ideológico, llevándolas a tal extremo q

1👍1

5 Jun 2026, 13:40 UTC397 views1 reactionsread 7 August 2026
Video

Colaboración de @metodico7 @Comienza_Tu_Dia

😁1

25 Apr 2026, 15:25 UTC685 views1 reactionsread 7 August 2026

https://es.christianitytoday.com/2026/04/persecucion-cuba-2026-arresto-cristianos-influencers-redes-sociales-es/ @Comienza_Tu_Dia

1

15 Apr 2026, 12:31 UTC616 views4 reactionsread 7 August 2026
Forwarded from @WealsoPlay

De la misma manera, la Iglesia no existe para nada más que para atraer a la gente a Cristo, para hacer de ellos pequeños Cristos. Si no están haciendo eso, todas las catedrales, el clero, las misiones, los sermones, incluso la Biblia misma, son simplemente una pérdida de tiempo. Dios se hizo hombre sin ningún otro propósito. Incluso es dudoso, ya sabes, si todo el universo fue creado para cualquier otro propósito. Di

4

11 Apr 2026, 04:58 UTC552 views5 reactionsread 7 August 2026
Forwarded from @datosbiblicosPhoto

✳️ La dote de Jacob no fueron flores, fueron catorce años ✳️ 🧠 Hay una actitud que casi no tiene nombre. Es la del hombre que da más de lo que le piden. Que sirve antes de que se lo agradezcan. Que usa su fuerza y sus capacidades para aliviar la carga de otro, sin trato de por medio, sin llevar la cuenta. ⚠️ Es una actitud rara. Siempre lo fue. El hombre promedio mide lo que da, calcula, cobra, espera retorno. El q

5

Showing the 12 most recent of 20 posts we hold for @comienza_tu_dia. 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 — 176,241 of 1,480,975entries 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

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 3 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.

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

“Meditaciones para comenzar el día” (@comienza_tu_dia), 1,486 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/comienza_tu_dia.

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.