Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 93% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
34 measurements spanning 43 days, net +1,137. 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 21,603–23,702 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
19 Sept 2026, 05:21
23,426
-34
16 Sept 2026, 18:37
23,460
+194
14 Sept 2026, 18:15
23,266
-28
13 Sept 2026, 07:37
23,294
+310
11 Sept 2026, 12:41
22,984
-52
8 Sept 2026, 23:20
23,036
+149
5 Sept 2026, 16:00
22,887
+576
3 Sept 2026, 19:17
22,311
+466
2 Sept 2026, 07:44
21,845
-25
1 Sept 2026, 10:25
21,870
-57
31 Aug 2026, 10:18
21,927
-60
30 Aug 2026, 07:03
21,987
-16
29 Aug 2026, 06:27
22,003
-15
28 Aug 2026, 03:38
22,018
-11
27 Aug 2026, 00:38
22,029
-7
26 Aug 2026, 03:42
22,036
-21
25 Aug 2026, 04:13
22,057
-15
23 Aug 2026, 23:28
22,072
-28
22 Aug 2026, 04:58
22,100
+29
20 Aug 2026, 23:56
22,071
first reading
Engagement
34 posts held, back to 24 June 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
61.6%
avg views ÷ 23,426 subscribers
Avg views / post
14,400
3 posts measured
Reaction rate
0.206%
reactions ÷ views · ER floor
Posts in window
3
of 34 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 2 September 2026
Posts held
34 (24 June 2026 – 2 September 2026)
Views total
43,300
Reactions total
89
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 13:23 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
10m 27s
Average length
35s
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
1,337 reactions across 34 posts, in 16 distinct kinds. The most used accounts for 20.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
279
20.9%
🔥
272
20.3%
😁
172
12.9%
👌
119
8.90%
❤
94
7.03%
💯
72
5.39%
🤝
68
5.09%
😍
66
4.94%
🎉
46
3.44%
🤡
38
2.84%
🤩
38
2.84%
🐳
32
2.39%
👏
11
0.823%
❤🔥
10
0.748%
👎
10
0.748%
🕊
10
0.748%
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 34 of the 34 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 1,337 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 24 June 2026 to 2 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.
В последнее время все больше историй о хамском отношении к беременным. Не пропускают, не уступают места в транспорте, не помогают с тяжелыми сумками. Такое отношение недопустимо, хочу призвать всех быть более внимательными к будущим мамам. Беременность - это большая нагрузка на организм, при том что у женщины есть и работа, на ней дом, и возможно старшие дети.
ЛДПР сегодня вышла с предложением оборудовать в транспор…
Сегодня у нас последний день без суеты ❤️
Гуляли, катались на катере, наслаждались последними спокойными часами вместе и, конечно, заглянули в наш любимый ресторан «The Бык» 🥩
Как же там вкусно и атмосферно! Каждый нашёл что-то своё: Маша особенно оценила шашлык и ароматный борщ, а мы с мамой наслаждались салатами и сочным стейком. Ну а муж и вовсе нашёл для себя идеальный вариант — вкуснейший мясной сет 😍
В такие…
Иногда, чтобы по-настоящему отдохнуть, нужно просто уехать туда, где время замедляется…
И уже при въезде в комплекс отдыха «Семь Озёр» мы забыли обо всех заботах.
Нас встретил шикарный отдых — яркий интерьер, уют и красивая сервировка. А за окном — настоящий хвойный лес, тишина и свежий воздух. А совсем рядом — Красногвардейское озеро с потрясающими видами и атмосферой полного единения с природой.
Для Маши здесь н…
Классно провели время в Pizza 22 cm на Жуковского 🍕 Маша, конечно, сразу выбрала свою любимую неаполитанскую пиццу, а я — самый скучный тартар в городе 😄
А ещё застали очень приятную летнюю коллаборацию Pizza 22 cm и ЧТИВО ФЕСТ — специальную пиццу, посвящённую последним неделям лета.
В ней всё, за что мы любим этот сезон: мортаделла, страчателла, моцарелла, фисташка и печёные нектарины с цедрой лайма. Получилось яр…
Мне 35+, и однажды утром зеркало показало мне то, чего раньше не было: кожа выглядит уставшей, тон стал неровным, появились первые заметные морщинки и пигментация. Поэтому я начала искать деликатное решение и нашла новую сыворотку для лица LABÁ Bakuchiol + Exosomes.
В составе 3% бакучиола — растительного аналога ретинола, который помогает разглаживать морщины, повышать упругость кожи и осветлять пигментацию без шелу…
Загородный день — для семьи, природы и вкусных моментов, а не для готовки 🤍
Заказала любимые блюда в ТОКИО-CITY и как раз попала на Марафон скидок: каждый день — новое выгодное предложение, скидки до 50%, «2=1», кешбэк 100% и комбо.
Можно устроить настоящий семейный пир и при этом приятно сэкономить ✨
Заглядывайте в расписание Марафона — там точно найдётся ваш день для вкусного заказа!
Наш эта поезда по маршруту Тверь - Москва подошла к концу! Эта неделя была максимально насыщенной и продуктивной! Маша гуляла с бабушкой в Твери, а мы с Лешей активно проводили время в Москве. Работала и посетила те места, которые хотела увидеть давно.
Сегодня мама загрузила нам свои заготовки , ягоды, зелень, огурчики с грядки и вы возвращаемся в Питер. Ждем ее к 1 сентября провожать Машуту в школу!
🔥22😁17👍10❤2🤩1
Signed Ekaterina D
Showing the 12 most recent of 34 posts we hold for @flakonduhovspb. 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
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“FLAKON_DUHOV blog” (@flakonduhovspb), 23,426 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/flakonduhovspb.
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.
