2 measurements taken within a single day. 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 172–174 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 19:11
173
no change
9 Aug 2026, 18:16
173
first reading
Engagement
7 posts held, back to 14 April 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
97.1%
avg views ÷ 173 subscribers
Avg views / post
168
1 post measured
Reaction rate
13.7%
reactions ÷ views · ER floor
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) ÷ 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
Window
Rolling 30 days · latest post in window 23 July 2026
Posts held
7 (14 April 2026 – 23 July 2026)
Views total
168
Reactions total
23
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 18:16 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
183 reactions across 7 posts, in 10 distinct kinds. The most used accounts for 34.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
63
34.4%
❤
45
24.6%
custom 5301245216823462259
36
19.7%
🔥
18
9.84%
💯
8
4.37%
custom 5391283017136234579
4
2.19%
custom 5413702269679986581
4
2.19%
👏
3
1.64%
custom 5411502911416986715
1
0.546%
😱
1
0.546%
Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 7 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 183reactions 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 14 April 2026 to 23 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.
👑 Недавно была опубликована работа, посвящённая генетическому анализу иранских сейидов - групп, традиционно считающих себя потомками пророка Мухаммеда по мужской линии. Авторы исследовали Y-хромосомные линии представителей различных регионов Ирана, чтобы оценить, насколько генетические данные соответствуют историческим родословным.
Результаты показали, что наиболее распространённой гаплогруппой среди сейидов являетс…
🗡️ Результаты талыша из села Осакюджа, Ленкоранского района.
🗡️ В результате анализа FamilyFinder была выявлена гаплогруппа J-SK1313 (Котиас) > J-CTS4371, связанная с древними кавказскими охотниками-собирателями (CHG). Представители этой древней популяции населяли территорию Кавказа ещё в эпоху верхнего палеолита и раннего голоцена - более 10 тысяч лет назад.
🌄 Гаплогруппа J-SK1313 относится к числу древнейших лини…
Результат mtFull Sequence талыша, чья материнская линия восходит к селу #Хишкедере.
🗡️ Гаплогруппа: U
🗡️ Terminal SNP: U2e1b5
🗡️На основе данных палеогенетики можно предполагать, что гаплогруппа с высокой вероятностью связана с ранними индоевропейскими миграциями эпохи энеолита и бронзы, поскольку линии U2e выявлены у древних степных популяций, связанных с хвалынско-среднестоговской культурной общностью, а позднее …
Результат маркерного теста Y37 азербайджанца из Ярдымлы (тал. Варгадюз).
🗡️ Гаплогруппа: J-M267 (J-CTS1460)
🌄 Данная гаплогруппа тесно связана с ареалом Кура-Араксской культуры, существовавшей на территории Северо-Восточного Кавказа (Дагестан и Чечня), Закавказья (Азербайджан, Армения, Грузия), а также в прилегающих регионах Ближнего Востока — восточной Турции и северного Ирана.
🗡️ Совпаденцем на 37 маркерах с дис…
🪡 От бронзового века к современности: генетическая связь Талышхановых с древним Ираном.
📖 Недавняя крупная публикация под руководством Али Акбари, выполненная в сотрудничестве с исследовательской группой Дэвида Райха в Гарвардском университете, существенно расширила базу данных древней ДНК, добавив более 10 000 новых образцов. Это исследование охватывает широкий хронологический и географический диапазон, включая мат…
🗡️ Результаты талыша из села Бабасер, Масаллинского района.
🗡️ В результате анализа FamilyFinder гаплогруппа соотечественника была определена как - R-F2935. Данная линия связывается с древними кочевыми иранскими группами, которые в прошлом ассоциируются с археологическими культурами, такими как Синташтинская и Андроновская. В настоящее время эта гаплогруппа встречается у различных народов: среди иранцев, европейцев,…
Showing the 7 most recent of 7 posts we hold for @cadusien. 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 — 998,062 of 1,350,102entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“ленкоранский переулок” (@cadusien), 173 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/cadusien.
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.