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Channel

Repositorio data science

@repo_science

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

4,696subscribers

+46 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001455940632
TypeChannel
Username@repo_science
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live31 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 31 August 2026
On Telegramt.me/repo_science

Growth

4,6484,6964,6726 August 2026 — 4,650 subscribers6 August 2026 — 4,648 subscribers9 August 2026 — 4,656 subscribers12 August 2026 — 4,657 subscribers16 August 2026 — 4,660 subscribers19 August 2026 — 4,673 subscribers22 August 2026 — 4,687 subscribers25 August 2026 — 4,693 subscribers28 August 2026 — 4,694 subscribers31 August 2026 — 4,696 subscribers6 August 202631 August 2026
10 measurements spanning 25 days, net +46. 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 4,641–4,703 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 10:254,696+2
28 Aug 2026, 08:444,694+1
25 Aug 2026, 14:434,693+6
22 Aug 2026, 18:484,687+14
19 Aug 2026, 12:574,673+13
16 Aug 2026, 05:534,660+3
12 Aug 2026, 23:264,657+1
9 Aug 2026, 18:114,656+8
6 Aug 2026, 11:254,648-2
6 Aug 2026, 06:164,650first reading

Engagement

22 posts held, back to 9 November 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.79%
avg views ÷ 4,696 subscribers
Avg views / post
272
3 posts measured
Reaction rate
0.368%
reactions ÷ views · ER floor
Posts in window
3
of 22 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 10 August 2026
Posts held22 (9 November 202410 August 2026)
Views total815
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:39 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

62 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 59.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3759.7%
👍1829.0%
🔥58.06%
👌23.23%

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 19 of the 22 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 62 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 9 November 2024 to 10 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

10 Aug 2026, 11:38 UTC195 views1 reactionsread 12 August 2026
Forwarded from @freecoupons_reposciencePhoto

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👍1

10 Aug 2026, 10:40 UTC188 views1 reactionsread 12 August 2026
Forwarded from @freecoupons_reposciencePhoto

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👍1

6 Aug 2026, 12:23 UTC432 views1 reactionsread 12 August 2026
Forwarded from @freecoupons_reposciencePhoto

🚨🚨 - Atención - 🚨🚨 Les dejamos los enlaces de invitación a los grupos asociados a nuestro canal. ----- Main channel: @repo_science Coupons: @freecoupons_reposcience ----- This message was automated by 🔗n8n

1

1 Jun 2026, 03:45 UTC≈2,070 views2 reactionsread 12 August 2026
Photo

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2

25 May 2026, 23:26 UTC≈2,120 viewsread 12 August 2026
Photo

#designPatterns #book 📚 Dive Into DESIGN PATTERNS An ebook on design patterns and the principles behind them Design patterns help you solve commonly-occurring problems in software design. But you can’t just find a pattern and copy it into your program, the way you can with off-the-shelf functions or libraries. A pattern is not a specific piece of code, but a general concept for solving a particular problem. They are

26 Feb 2026, 03:39 UTC≈3,960 views3 reactionsread 12 August 2026
Photo

Photo, posted without a caption

👌21

11 Dec 2025, 16:13 UTC≈4,860 views8 reactionsread 12 August 2026
Photo

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5🔥3

8 Dec 2025, 03:46 UTC≈3,650 views1 reactionsread 12 August 2026
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8 Dec 2025, 03:25 UTC≈3,100 views6 reactionsread 12 August 2026
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7 Oct 2025, 17:06 UTC≈4,110 views5 reactionsread 12 August 2026
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6 Jul 2025, 03:16 UTC≈5,390 views5 reactionsread 12 August 2026
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5

Showing the 12 most recent of 22 posts we hold for @repo_science. 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 — 57,333 of 1,629,571 entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 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.

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

“Repositorio data science” (@repo_science), 4,696 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/repo_science.

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.