7 measurements spanning 17 days, net +243. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β snapshots are recorded only when a count changes, so gaps mean βno change observedβ, never βinterpolatedβ. The vertical axis spans 9,430β9,811 and does not start at zero.
Measurement log β every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
24 Aug 2026, 19:56
9,720
-47
21 Aug 2026, 03:41
9,767
+174
18 Aug 2026, 10:13
9,593
-26
15 Aug 2026, 01:54
9,619
+112
11 Aug 2026, 19:56
9,507
+33
8 Aug 2026, 11:32
9,474
-3
7 Aug 2026, 19:02
9,477
first reading
Engagement
7 posts held, back to 24 June 2025 β the reader has reached the start of this channelβs public history, so this is the full archive Telegram still exposes. Read across 30 pagesof Telegramβs post history, 20 posts per page.
ERR Β· 30 days
0.874%
avg views Γ· 9,720 subscribers
Avg views / post
85.0
1 post measured
Reaction rate
β
this channel exposes no reaction counts
Posts in window
1
of 7 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) Γ· viewsβ note the denominator is views, not subscribers. Telegramβs 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 Β· latest post in window 24 August 2026
Posts held
7 (24 June 2025 β 24 August 2026)
Views total
85
Reactions total
β
Forwards / comments
not exposed by the public surface β not measured, not estimated
Readings taken
26 Aug 2026, 23:36 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 βcorrectingβ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form β 8.12K, 3.7M β 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 β read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
1
Videos
5
Links
4
Lifetime counters from Telegramβs own channel header, read 26 August 2026 β not the date at the top of this page, which is when the subscriber count was last read. Below Telegramβs rounding threshold, so these counts are exact.
Video runtime
1h 09m
Average length
13m 56s
Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel β not this channelβs 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 Telegramβs own rounded chrome, so it carries no β mark.
Reaction mix
76 reactions across 5 posts, in 10 distinct kinds. The most used accounts for 39.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
β€
30
39.5%
π
13
17.1%
π₯
13
17.1%
π―
6
7.89%
π€
6
7.89%
π₯°
3
3.95%
β‘
2
2.63%
π
1
1.32%
π
1
1.32%
π«‘
1
1.32%
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 5 of the 7 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 76reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 7 most recent posts we hold, published 24 June 2025 to 24 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.
βοΈ Mais fontes, mais problemas? NΓ£o mais:
β‘οΈJΓ‘ disponΓvel, o NotebookLM pode rotular e categorizar automaticamente as fontes (quando vocΓͺ tiver mais de 5).
π Para que vocΓͺ gaste menos tempo rolando a tela e mais tempo pensando, aprendendo, filosofando, etc.
π Renomeie, reorganize e personalize (com emojis!) o conteΓΊdo do seu NotebookLM.
βοΈ Aprenda NotebookLM do Google em 15 minutos
π€― VocΓͺ se sente sobrecarregado com tanta informação? O NotebookLM chegou para mudar o jogo. Em apenas 15 minutos, eu te ensino a dominar a ferramenta que estΓ‘ revolucionando a gestΓ£o de conhecimento no ecossistema Google.
β±οΈ Neste tutorial, focado em quem nΓ£o tem tempo a perder, mostro como a IA analisa seus arquivos para entregar respostas precisas e estruturadas. Ideaβ¦
Showing the 7 most recent of 7 posts we hold for @googleaiexpert. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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.
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 β 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 β the βNamed by N registered channelsβ 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 24 August 2026 β this
entry's latest reading, not the date you are reading this.
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 Β· 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.
