4 measurements spanning 17 days, net -1. 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 152–154 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Aug 2026, 02:24
152
-2
16 Aug 2026, 17:24
154
+1
8 Aug 2026, 19:15
153
no change
7 Aug 2026, 16:00
153
first reading
Engagement
7 posts held, back to 28 July 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
9.21%
avg views ÷ 152 subscribers
Avg views / post
14.0
5 posts measured
Reaction rate
16.7%
reactions ÷ views · ER floor
Posts in window
5
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) ÷ 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. It is computed over the 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 8 August 2026
Posts held
7 (28 July 2026 – 8 August 2026)
Views total
70
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 19:15 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
21s
Average length
21s
Measured directly from 1 video 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
16 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8
50.0%
👍
2
12.5%
🙏
2
12.5%
🥰
2
12.5%
👏
1
6.25%
🔥
1
6.25%
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 6 of the 7 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 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 28 July 2026 to 8 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.
Привет всем💖
Когда у меня садится батарейка, силы начинают покидать (шутка, конечно 😁), особенно летом в жару, то меня магнитом тянет в горы, на реку, чтобы перезагрузиться, впитать в себя мощь, энергию природы!
Для этого достаточно прогулки по прохладному лесу, обнять дерево, искупаться в бурлящей реке!
Прошлые выходные прошли в такой красоте🙏👍
Станица Даховская ( в переводе с адыгского Красивая) и река Белая давно…
И ещё одна композиция "Ручей в горах" Сергея Лазара, которая невероятно красивая, успокаивающая и просто прекрасная🙏
К огромному сожалению и огорчению Сергей недавно покинул этот мир😔, так и не успев написать ещё один эксклюзивный альбом для ФАКСТ
Светлая память таким светлым людям.....🙏🙏🙏
5️⃣ исцеляющих высоковибрационных аудиокомпозиций Функнер С.А., для всех в общем доступе на форуме.
Возьмите их себе, отнеситесь со всей серьёзностью к их прослушиванию. И дайте себе время прочувствовать их. Особенно когда на душе грустно или тяжесть... 🫶
ВСЕ исцеляющие аудиокомпозиции во всех альбомах направлены на исцеление Души и Сердца + на повышение частоты вибраций...
Для прослушивания данных аудиокомпозиций …
3 исцеляющие высоковибрационные аудиокомпозиции, которые в общем доступе на форуме.
Возьмите их себе, отнеситесь со всей серьёзностью к их прослушиванию. И дайте себе время прочувствовать их. Особенно когда на душе грустно или тяжесть... 🫶
Дорогие, а как вы повышаете свои вибрации?
Я продолжаю слушать программы МЭЦ и вам предлагаю несколько подарочных высоковибрационных композиций от создателя Сергея Анатольевича Функнера, за что ему громадная благодарность 🙏🙏🙏
Друзья, это не просто музыка!
Учёные проводили исследования на приборах и сами были удивлены результатам от прослушивания!
Если вы будете слушать их в наушниках ( обязательно проводных), даже в…
❤3
Showing the 7 most recent of 7 posts we hold for @magicluda. 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.
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 25 August 2026 — this
entry's latest reading, not the date you are reading this.
“Людмила Кистанова/Интересно о жизни” (@magicluda), 152 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/magicluda.
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.