Ecommerce storefront — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
46 measurements spanning 79 days, net -49. 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 23,991–24,312 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)
Subscribers
Change
25 Oct 2026, 10:58
24,197
+1
24 Oct 2026, 08:48
24,196
+19
23 Oct 2026, 05:18
24,177
-18
22 Oct 2026, 02:30
24,195
-20
20 Oct 2026, 20:36
24,215
+14
19 Oct 2026, 16:08
24,201
+24
18 Oct 2026, 13:39
24,177
+42
17 Oct 2026, 11:01
24,135
+39
16 Oct 2026, 10:44
24,096
-10
15 Oct 2026, 07:17
24,106
+9
14 Oct 2026, 02:27
24,097
+69
11 Oct 2026, 13:21
24,028
-62
7 Oct 2026, 01:17
24,090
+24
2 Oct 2026, 06:14
24,066
-37
18 Sept 2026, 12:59
24,103
-31
16 Sept 2026, 02:37
24,134
-43
14 Sept 2026, 05:39
24,177
-6
12 Sept 2026, 16:01
24,183
-21
10 Sept 2026, 13:18
24,204
-34
7 Sept 2026, 08:21
24,238
first reading
Engagement
153 posts held, back to 5 August 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 104 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.54%
avg views ÷ 24,197 subscribers
Avg views / post
1,580
77 posts measured
Reaction rate
2.55%
reactions ÷ views · ER floor
Posts in window
77
of 153 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 October 2026
Posts held
153 (5 August 2026 – 23 October 2026)
Views total
121,759
Reactions total
3,107
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 10:07 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
19m 39s
Average length
19s
Measured directly from 62 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
5,724 reactions across 153 posts, in 10 distinct kinds. The most used accounts for 51.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,918
51.0%
🔥
1,406
24.6%
🥰
411
7.18%
custom 5443025785231252771
249
4.35%
💯
245
4.28%
🦄
173
3.02%
😍
163
2.85%
😎
73
1.28%
💅
49
0.856%
🍓
37
0.646%
Custom emoji. One row above is a 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 count beside it is Telegram’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 153 of the 153 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 5,724 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 153 most recent posts we hold, published 5 August 2026 to 23 October 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.
Advertising
Ad load
32.7%
50 of 153 posts carry an ad marker
Regulatory tokens
50
posts carrying an erid · 49 distinct tokens
Median views · ads
1,590
over 50 measured posts
Median views · rest
1,600
over 103 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFGkkAqP
2
10 August 2026
10 August 2026
2VtzqvsEhTS
1
23 October 2026
23 October 2026
2W5zFFuiCJu
1
7 August 2026
7 August 2026
2W5zFFzTJrd
1
2 September 2026
2 September 2026
2W5zFG1uei5
1
7 October 2026
7 October 2026
2W5zFG4WReh
1
26 August 2026
26 August 2026
2W5zFG4d9Cu
1
25 August 2026
25 August 2026
2W5zFG63Uhf
1
9 October 2026
9 October 2026
2W5zFG7doEy
1
17 August 2026
17 August 2026
2W5zFGAU3xV
1
21 August 2026
21 August 2026
2W5zFGFNcCH
1
19 October 2026
19 October 2026
2W5zFGFYdSq
1
26 August 2026
26 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 37 further tokens are held for this entry and not listed here.
Measured over the 153 most recent posts we hold, published 5 August 2026 to 23 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Ущипните меня кто-нибудь — я как будто в миланском люксовом бутике, а не на Пражской в ТЦ Columbus. «Снежная Королева» выдали просто невозможно красивые модели. Смотрите видео — это же фешен-шоу!
Мои личные фавориты — это дубленки из овчины (2 и 3 фото), но это вообще не всё, что стоит изучить. У меня просто не хватило времени примерить всю коллекцию, а хотелось, потому что, повторюсь, модного достойного — целых два…
Мои сохраненки из канала Даши — это не только изделия, которые хочется увидеть на себе, но и красивая женская баня со слабым паром! Уже написала подруге — решили сходить.
Ещё у Даши очень приятный ироничный слог, сразу видно, что у человека не только блогерство, но и нормальная работа присутствует.
Я Даша, и днем я аналитик. Собираю дашборды для бизнеса. Вечером у меня другая аналитика: нужны ли мне еще одни штаны.…
Очень мне нравятся Дашины лучки. Аккуратно, с деталями и для жизни. И находки у нее все интересные, что сразу хочется все себе заказать:
💚 удобные куртки-парки, чтобы не только в пальто ходить
💚самые актуальные плащи и тренчи на текущую погоду
💚сумки-шоперы, в которые поместится целая жизнь
💚книги, ради которых хочется немного отложить телефон
💚спектакли и выставки — с честными впечатлениями, что понравилось, а что …
Я сегодня была очень фешен. Двухцветная обувь, пижамная рубашка, кружево, — все собрала. Но вроде без перебора получилось.
Выбирала себе очки, завтра покажу, над какими весь день думаю, хочу много.
Кстати, как вы относитесь к стилю после 50?
Когда думаешь, что стильной жизни в 50 не существует, идем вдохновляться к Марине на канал Че по стилю? – весьма необычная подача, отсутствие ограничений и вещи с е&анцой
• лайфхак для любителей красивых оправ
• самая модная куртка сезона
• шпаргалка: как выбрать удобную обувь
• средство от грязных штанин
Каждый день новые образы и разговоры о красоте
Есть ли жизнь пос…
За счет интересных стилизаций можно из посредственных вещей собрать хороший образ. А можно просто носить Voishe и не заморачиваться со стайлингом, и выглядеть при этом лучше всех. Я в последнее время все чаще выбираю путь качественных изделий и максимально простого стайлинга. Это дает ощущение стабильности.
А теперь от философского к насущному. Здесь на мне не только любимейшие трикотажные комплекты из 100% шерсти м…
Сегодня были на «Петушках» в пространстве «Внутри». Там дух Гоголь центра! Приходите, если тоже искали нечто подобное. Там и Горчилин, и другие не менее прекрасные актеры не просто играют, а живут. Я уже выбираю следующий спектакль.
Так, ну эту стоимость нельзя мимо пройти. POVOD поставили дополнительную скидку на супер крутую сумку из натуральной замши, с которой я не могу расстаться последнюю неделю. И скидка эта суммируется с нашим промокодом BIRD на 20% — получается максимально привлекательная стоимость 16 184р. Какая-то антикризисная сумка получается.
Сумка POVOD — 16 184р. 23 800р. (BIRD)
Пальто ALL WE NEED (100% шерсть) — 40 410р. 44 900…
Никакие «беспорядки» не мешают моим байерам покупать для нас люкс в Париже. Сегодня они там последний день, а дальше будут в Милане и Флоренции. Поэтому подписывайтесь и следите за ассортиментом. Увидите ваше — сразу пишите!
Я с ума схожу от красоты этого коверта с ручками YSL. И их новые туфли — тоже космос. И пусеты шанель нужны давно, вы понимаете :*
Eсли бы у ваших сохранёнок с образами были ссылки на вещи — 💘 Катя показывает, как интересно одеваться каждый день, когда в планах кофе, дела и прогулка.
У неё можно подсмотреть сочетание и тут же найти, где всё купить. начните с обзора Lime или совместной примерки с мужем — да-да, в блоге есть и мужской стайлинг. Рекомендую заглянуть за идеями для своего гардероба!
❤22🔥12🥰6
Showing the 12 most recent of 153 posts we hold for @bird_doesnt_doze. 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 10 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 16 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Дом Моды @fashioninn · 22,763 Telegram ranks this channel #1 of 74 here — alongside 73 others — read 15 September 2026
Мода быть собой @welcometoyourselfff · 33,515 Telegram ranks this channel #1 of 63 here — alongside 62 others — read 4 September 2026
Че по стилю? @marusia_stile · 23,966 Telegram ranks this channel #3 of 83 here — alongside 82 others — read 16 September 2026
Стилист Оксана Самарина @OksanaSamarina · 30,719 Telegram ranks this channel #3 of 53 here — alongside 52 others — read 6 September 2026
Модная Курочка @ya_b_kupila · 22,371 Telegram ranks this channel #6 of 86 here — alongside 85 others — read 19 September 2026
Модный маркетолог @moda_marketingg · 32,350 Telegram ranks this channel #6 of 74 here — alongside 73 others — read 6 September 2026
Fashion dnevnik @fashiondnevnik · 26,090 Telegram ranks this channel #8 of 74 here — alongside 73 others — read 12 September 2026
Доступный стиль by Tsvetaeva @korolevatsvetaeva · 27,660 Telegram ranks this channel #8 of 65 here — alongside 64 others — read 10 September 2026
модная кома @modnayacoma · 26,239 Telegram ranks this channel #9 of 78 here — alongside 77 others — read 12 September 2026
Купи, молись, люби @buy_pray_love · 45,958 Telegram ranks this channel #10 of 72 here — alongside 71 others — read 27 August 2026
YesDressNoStress | Стася Кульбацкая @yesdressnostress · 48,567 Telegram ranks this channel #10 of 69 here — alongside 68 others — read 26 August 2026
Домашняя барахляндия @homelyandiya · 27,629 Telegram ranks this channel #11 of 72 here — alongside 71 others — read 10 September 2026
Хот Кутюр @hotcouture · 22,682 Telegram ranks this channel #12 of 79 here — alongside 78 others — read 19 September 2026
LIMÉ @limestorecom · 93,779 Telegram ranks this channel #12 of 70 here — alongside 69 others — read 16 August 2026
Субъективная мода @didi_pro_ali · 31,764 Telegram ranks this channel #13 of 46 here — alongside 45 others — read 5 September 2026
На полном обвесе с Мари @stylewithmary · 19,611 Telegram ranks this channel #15 of 77 here — alongside 76 others — read 30 September 2026
Стильный Сырник @mariemets · 23,037 Telegram ranks this channel #15 of 71 here — alongside 70 others — read 18 September 2026
Культура одеваться @kulturaodevatsa · 32,131 Telegram ranks this channel #16 of 72 here — alongside 71 others — read 5 September 2026
O'STIN_official @ostinofficial · 48,250 Telegram ranks this channel #19 of 31 here — alongside 30 others — read 8 September 2026
Вишлист @myhotelki · 48,308 Telegram ranks this channel #19 of 86 here — alongside 85 others — read 26 August 2026
Без принципов, но с сумкой @kudriashovaa · 22,974 Telegram ranks this channel #20 of 80 here — alongside 79 others — read 18 September 2026
Daisyknit.ru @daisyknit · 43,817 Telegram ranks this channel #20 of 39 here — alongside 38 others — read 6 September 2026
Стилист для простых смертных @vavdeyukekaterina · 32,661 Telegram ranks this channel #20 of 59 here — alongside 58 others — read 4 September 2026
GLAMORAMA @glamoramablog · 28,954 Telegram ranks this channel #22 of 75 here — alongside 74 others — read 9 September 2026
This channel appears in 70 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 October 2026 — this
entry's latest reading, not the date you are reading this.
“Птичка не дремлет” (@bird_doesnt_doze), 24,197 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/bird_doesnt_doze.
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.