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Telegram profile photo for Rutinas de Ejercicios 🏋

Channel

Rutinas de Ejercicios 🏋

@Rutinas_Gym_Pro

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry

13,636subscribers

-364 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001773100431
TypeChannel
Username@Rutinas_Gym_Pro
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/Rutinas_Gym_Pro

Topic

Health & wellness — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Rutinas_Gym_Pro/843 · this entry25 May 2026, 15:41 UTC@Familia_Fitness/213725 May 2026, 15:42 UTC1.00under a minute
@Rutinas_Gym_Pro/844 · this entry25 May 2026, 15:47 UTC@Familia_Fitness/213825 May 2026, 16:24 UTC1.0037 minutes
@Rutinas_Gym_Pro/856 · this entry13 Jul 2026, 02:33 UTC@Familia_Fitness/234613 Jul 2026, 02:33 UTC0.99under a minute
@Rutinas_Gym_Pro/845 · this entry1 Jun 2026, 02:30 UTC@Familia_Fitness/21671 Jun 2026, 02:32 UTC0.992 minutes
@Familia_Fitness/229429 Jun 2026, 02:31 UTC@Rutinas_Gym_Pro/851 · this entry29 Jun 2026, 02:32 UTC0.9972 seconds
@Familia_Fitness/21978 Jun 2026, 02:33 UTC@Rutinas_Gym_Pro/846 · this entry8 Jun 2026, 02:33 UTC0.99under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Familia_Fitness7 (7/7 hand-verifiable sample passed)0.99under a minutethis entry (52)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 10 comparable posts for this entry, running 27 April 2026 to 20 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @Rutinas_Gym_Pro — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

13,63614,00013,8186 August 2026 — 14,000 subscribers6 August 2026 — 13,998 subscribers7 August 2026 — 13,991 subscribers8 August 2026 — 13,980 subscribers9 August 2026 — 13,968 subscribers10 August 2026 — 13,954 subscribers11 August 2026 — 13,945 subscribers12 August 2026 — 13,939 subscribers13 August 2026 — 13,931 subscribers14 August 2026 — 13,930 subscribers16 August 2026 — 13,927 subscribers17 August 2026 — 13,907 subscribers18 August 2026 — 13,894 subscribers19 August 2026 — 13,882 subscribers20 August 2026 — 13,868 subscribers21 August 2026 — 13,866 subscribers22 August 2026 — 13,845 subscribers24 August 2026 — 13,815 subscribers25 August 2026 — 13,811 subscribers26 August 2026 — 13,796 subscribers27 August 2026 — 13,789 subscribers29 August 2026 — 13,787 subscribers29 August 2026 — 13,781 subscribers30 August 2026 — 13,776 subscribers31 August 2026 — 13,766 subscribers1 September 2026 — 13,760 subscribers2 September 2026 — 13,751 subscribers4 September 2026 — 13,743 subscribers6 September 2026 — 13,723 subscribers9 September 2026 — 13,701 subscribers12 September 2026 — 13,679 subscribers13 September 2026 — 13,667 subscribers15 September 2026 — 13,649 subscribers17 September 2026 — 13,646 subscribers19 September 2026 — 13,636 subscribers6 August 202619 September 2026
35 measurements spanning 44 days, net -364. 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 13,581–14,055 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
19 Sept 2026, 15:3513,636-10
17 Sept 2026, 06:0013,646-3
15 Sept 2026, 10:0113,649-18
13 Sept 2026, 21:5713,667-12
12 Sept 2026, 05:2013,679-22
9 Sept 2026, 19:3813,701-22
6 Sept 2026, 14:5613,723-20
4 Sept 2026, 06:5713,743-8
2 Sept 2026, 20:1513,751-9
1 Sept 2026, 18:1613,760-6
31 Aug 2026, 21:3313,766-10
30 Aug 2026, 22:5613,776-5
29 Aug 2026, 22:2413,781-6
29 Aug 2026, 00:1413,787-2
27 Aug 2026, 22:5613,789-7
26 Aug 2026, 20:2813,796-15
25 Aug 2026, 18:1513,811-4
24 Aug 2026, 17:0213,815-30
22 Aug 2026, 23:1713,845-21
21 Aug 2026, 09:2713,866first reading

Engagement

24 posts held, back to 20 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 50 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.86%
avg views ÷ 13,636 subscribers
Avg views / post
663
1 post measured
Reaction rate
1.81%
reactions ÷ views · ER floor
Posts in window
1
of 24 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 August 2026
Posts held24 (20 April 202631 August 2026)
Views total663
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 19:47 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.

Reaction mix

366 reactions across 22 posts, in 8 distinct kinds. The most used accounts for 38.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14038.3%
🔥14038.3%
👍5615.3%
👏123.28%
💯113.01%
👌41.09%
🤩20.546%
🎉10.273%

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 22 of the 24 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 366 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 20 April 2026 to 31 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.

Recent posts

31 Aug 2026, 02:35 UTC663 views12 reactionsread 2 September 2026

La memoria muscular es la capacidad del cuerpo para recuperar habilidades físicas o masa muscular previamente adquiridas más rápido que la primera vez. Puedes aprovecharla retomando el entrenamiento tras una pausa: tu cuerpo “recuerda” y responde con mayor eficiencia. Aquí te explico cómo funciona y cómo sacarle el máximo provecho: 🔖 ¿Qué es la memoria muscular? 🔖 No es memoria en los músculos literalmente, sino un

7🔥5

24 Aug 2026, 02:30 UTC≈1,540 views14 reactionsread 2 September 2026

Sudar no significa que estés quemando grasa: solo estás perdiendo agua, no tejido adiposo. La sudoración es un mecanismo de enfriamiento, no un indicador de gasto calórico o pérdida de grasa corporal. Aquí te explico por qué este mito está tan extendido y qué dice la ciencia al respecto: 💧 ¿Qué es realmente el sudor? 💧 El sudor es agua con sales minerales que el cuerpo libera para regular la temperatura interna. Cu

🔥11👍3

17 Aug 2026, 02:33 UTC≈2,180 views13 reactionsread 2 September 2026

Tu entorno social y físico influye profundamente en tus resultados en el gimnasio. Amigos, pareja, redes sociales y el ambiente en el que entrenas pueden potenciar tu motivación o sabotear tu constancia, dependiendo de si te rodeas de apoyo o distracciones. 🧠 ¿Cómo influye tu entorno en tu progreso en el gimnasio? 1️⃣ Amigos Positivo: Entrenar con amigos puede aumentar la motivación, la adherencia y el rendimiento.

🔥9👍4

10 Aug 2026, 02:33 UTC≈2,750 views16 reactionsread 2 September 2026

❓ ¿Por qué deberías entrenar tus antebrazos? ❓ ➡️Aunque muchas rutinas de entrenamiento se centran en bíceps, tríceps o pectorales, los antebrazos son una parte esencial del rendimiento físico general. 📝 Beneficios de entrenar antebrazos 📝 ➡️Mayor fuerza de agarre: Fundamental para ejercicios como peso muerto, remo, dominadas y curls pesados. ➡️Prevención de lesiones: Fortalece tendones y músculos que estabilizan la

🔥10👍41👏1

3 Aug 2026, 02:31 UTC≈3,180 views28 reactionsread 2 September 2026
Photo

🏋‍♂ 🔖 (Frases de Motivación) 🔖 🏋‍♂ 🔥🔥 Somos: @Rutinas_Gym_Pro 🔥🔥

👍16🔥5💯32🎉1👏1

27 Jul 2026, 02:31 UTC≈4,010 views1 reactionsread 2 September 2026
Poll

¿Comes Avena Habitualmente? ❓

  1. Si ✅51%
  2. No ✅49%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

1

20 Jul 2026, 02:30 UTC≈4,700 views14 reactionsread 2 September 2026

La avena es una excelente opción como alimento pre-entrenamiento. Su combinación de carbohidratos complejos, fibra y micronutrientes proporciona energía sostenida, mejora el rendimiento físico y favorece la recuperación muscular. Lo ideal es consumirla entre 1 y 2 horas antes de entrenar. - Beneficios de la avena como pre-entreno:👇 Energía sostenida: Rica en carbohidratos complejos que liberan energía gradualmente,

👏65🤩2🔥1

18 Jul 2026, 13:40 UTC≈3,630 viewsread 2 September 2026
Photo

📢 Advertising in this channel You can place an ad via Telega․io. It takes just a few minutes. Formats and current rates: View details

13 Jul 2026, 02:33 UTC≈4,520 views14 reactionsread 2 September 2026

Aquí tienes una lista más completa y explicada de los errores comunes al preparar un batido post-entrenamiento, para que puedas evitarlos y maximizar tus resultados 💪🍨 ⚠️ Errores comunes al hacer un batido post-entreno 1⃣ Demasiado azúcar: 👇 Usar jugos industriales, miel en exceso o frutas muy dulces puede elevar el índice glucémico. Esto puede provocar picos de insulina y acumulación de grasa si no se controla. 2

🔥95

6 Jul 2026, 02:33 UTC≈4,300 views34 reactionsread 2 September 2026
Photo

🏋‍♂ 🔖 (Frases de Motivación) 🔖 🏋‍♂ 🔥🔥 Somos: @Rutinas_Gym_Pro 🔥🔥

23🔥11

29 Jun 2026, 02:32 UTC≈4,930 views25 reactionsread 2 September 2026

Aquí tienes un desglose detallado de por qué estos alimentos son tan efectivos para aumentar masa muscular: 🥚 Huevos: 👇 Proteína completa: Contienen todos los aminoácidos esenciales. Ricos en leucina, un aminoácido clave para la síntesis muscular. Yema con grasas saludables y vitaminas como D, B12 y colina. 🍚 Arroz integral: 👇 Fuente de carbohidratos complejos: Aporta energía sostenida para entrenamientos intenso

20👍4🔥1

Showing the 12 most recent of 24 posts we hold for @Rutinas_Gym_Pro. 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.

Polls

The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

27 Jul 2026, 02:31 UTCAnonymous Poll357 voters

¿Comes Avena Habitualmente? ❓

  1. Si ✅51%
  2. No ✅49%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

22 Jun 2026, 02:30 UTCAnonymous Poll482 voters

¿Cuántas veces entrenas por Semana? ❓

  1. 1 vez ✅9%
  2. 2 veces ✅5%
  3. 3 veces ✅18%
  4. 4 veces ✅24%
  5. 5 veces ✅30%
  6. 6 veces ✅10%
  7. 7 veces ✅3%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

18 May 2026, 02:31 UTCAnonymous Poll256 voters

¿Cuántas estrellas le das al Canal? ⭐️

  1. ⭐️5%
  2. ⭐️⭐️1%
  3. ⭐️⭐️⭐️9%
  4. ⭐️⭐️⭐️⭐️19%
  5. ⭐️⭐️⭐️⭐️⭐️66%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 24 most recent posts we hold, published 20 April 2026 to 31 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Mentions

Named by 2 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Rutinas de Ejercicios 🏋” (@Rutinas_Gym_Pro), 13,636 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Rutinas_Gym_Pro.

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.