26 measurements spanning 31 days, net +70. 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 14,723–14,856 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
7 Sept 2026, 06:36
14,817
-8
4 Sept 2026, 10:18
14,825
-9
2 Sept 2026, 20:03
14,834
-2
1 Sept 2026, 21:34
14,836
-5
1 Sept 2026, 00:14
14,841
+3
30 Aug 2026, 03:44
14,838
+12
29 Aug 2026, 04:37
14,826
+6
28 Aug 2026, 07:25
14,820
+5
27 Aug 2026, 06:35
14,815
+7
26 Aug 2026, 06:53
14,808
+5
25 Aug 2026, 05:47
14,803
+4
22 Aug 2026, 16:47
14,799
+10
21 Aug 2026, 09:07
14,789
+12
20 Aug 2026, 06:57
14,777
+18
19 Aug 2026, 05:26
14,759
+9
18 Aug 2026, 08:35
14,750
+4
17 Aug 2026, 09:33
14,746
+1
15 Aug 2026, 15:18
14,745
+7
14 Aug 2026, 00:13
14,738
-3
12 Aug 2026, 20:13
14,741
first reading
Engagement
36 posts held, back to 17 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
28.4%
avg views ÷ 14,817 subscribers
Avg views / post
4,210
16 posts measured
Reaction rate
1.16%
reactions ÷ views · ER floor
Posts in window
17
of 36 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 3 September 2026
Posts held
36 (17 July 2026 – 3 September 2026)
Views total
67,390
Reactions total
780
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:13 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
12m 38s
Average length
42s
Measured directly from 18 videos 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
2,043 reactions across 35 posts, in 21 distinct kinds. The most used accounts for 30.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
616
30.2%
🔥
483
23.6%
🎉
293
14.3%
😁
164
8.03%
👍
142
6.95%
⚡
101
4.94%
😍
76
3.72%
🤣
37
1.81%
💯
27
1.32%
🥰
23
1.13%
👎
22
1.08%
👌
9
0.441%
🥱
9
0.441%
🌚
8
0.392%
😱
8
0.392%
🤩
8
0.392%
🤔
5
0.245%
😢
4
0.196%
👏
3
0.147%
🙏
3
0.147%
1 further kind
2
0.098%
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 35 of the 36 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 2,043 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 17 July 2026 to 3 September 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.
Иқдо-о-ом омад📣
Бахшида ба 35-солагии Истиқлолият аз 3 то 5 сентябр комиссияро аз 17% то 9% паст кардем 🥳
Дар зиёда аз 3000 мағозаи шарикамон молҳоро то 9 моҳ бо 9% комиссия ба насия гиред. Дар баъзе мағозаҳо бошад — то 18 моҳ бе комиссия 🤩
Рӯйхати шарикон дар ин ҷо: alifshop.tj
••••••••••••••
А-а-акция началась 📣
В честь 35-летия Независимости с 3 по 5 сентября мы снизили комиссию с 17% до 9% 🥳
В магазинах бо…
Дар кӯдакӣ аз коғаз ҳавопаймо месохтем, ҳоло бошад вақти парвозҳои ҳақиқӣ расидааст ✈️
Чиптаҳои арзон ва бастаҳои сайёҳиро дар барномаи Alif нақдӣ ё ба насия гиред 💙
••••••••••••••
В детстве мы делали самолётики из бумаги, а теперь пришло время настоящих полётов ✈️
Покупайте авиабилеты и туристические пакеты по доступным ценам в приложении Alif — наличными или в рассрочку 💙
Бигзор соли нави хониш пур аз ханда, лаҳзаҳои хуб ва хотираҳои фаромӯшнашаванда бошад 🤓
Рӯзи дониш муборак 📚
••••••••••••••
Пусть новый учебный год будет наполнен смехом, яркими моментами и незабываемыми воспоминаниями 🤓
С Днём знаний 📚
Ҳисобро кӣ медиҳад? Нафаре, ки кешбэк мегирад 😎
Бо Apple Pay дар ҳама ҷое, ки POS-терминал ҳаст, пардохт кунед ва 10% кешбэк гиред — то 100 сомонӣ аз як пардохт ва то 500 сомонӣ дар як моҳ.
Кешбэк аллакай рӯзи дигар ба шумо бармегардад 😍
Маълумоти бештар дар alif.tj
••••••••••••••
Кто оплачивает счёт? Тот, кто получает кешбэк 😎
Оплачивайте через Apple Pay везде, где есть POS-терминал, и получайте 10% кешбэка — …
Рӯзи истироҳат бо оила як баромада, либосу пойафзол гиред 🛍
Бароятон рӯйхати мағозаҳоеро омода намудем, ки дар он ҷо метавонед либосу пойафзол харидорӣ намуда, ҳангоми пардохт бо Apple Pay 10% кешбэк гиред 😍
••••••••••••••
Проведите выходной с семьёй и обновите гардероб 🛍
Мы подготовили для вас список магазинов, где можно купить одежду, обувь и получить 10% кешбэка при оплате через Apple Pay 😍
500 сомониро баргардонед 🥳
Бо корти Mastercard тавассути Apple Pay дар дохил ва хориҷи кишвар пардохт кунед ва 10% кешбэк гиред.
Маълумоти муфассал 👈
••••••••••••••
Получайте до 500 сомони обратно 🥳
Оплачивайте покупки картой Mastercard через Apple Pay в Таджикистане и за рубежом и получайте 10% кешбэка.
Подробнее 👈
Як QR — як пардохт 🤩
Бо QR-и ягона тавассути барномаи Alif метавонед дар зиёда аз 33 000 нуқтаи шарикӣ саросари кишвар пардохт кунед.
Танҳо QR-ро скан кунед, маблағро ворид намоед ва пардохтро тасдиқ кунед. Ва боз як бартарӣ: харидатонро метавонед то 10 рӯз ба насия гиред 💚
Мисли ҳарвақта: зуд, осон ва бехатар 😉
••••••••••••••
Один QR — одна оплата 🤩
Оплачивайте покупки с приложением Alif через единый QR-код у …
❤23😍4👍2🔥1😢1
Showing the 12 most recent of 36 posts we hold for @alif. 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.
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 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Parviz TV @ParvisTV · 100,294 Telegram ranks this channel #6 of 59 here — alongside 58 others — read 15 August 2026
dushanbepolice 🇹🇯 @dushanbe_police_tj · 50,177 Telegram ranks this channel #17 of 57 here — alongside 56 others — read 25 August 2026
Азия-Плюс | Все новости Таджикистана и мира @asiaplus · 69,526 Telegram ranks this channel #21 of 78 here — alongside 77 others — read 20 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 7 September 2026 — this
entry's latest reading, not the date you are reading this.
“Алиф” (@alif), 14,817 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/alif.
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.