Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 60% 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
31 measurements spanning 41 days, net +199. 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 12,445–12,724 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
17 Sept 2026, 11:36
12,692
+10
15 Sept 2026, 10:20
12,682
+20
13 Sept 2026, 15:56
12,662
-1
11 Sept 2026, 20:38
12,663
+74
9 Sept 2026, 10:56
12,589
+29
6 Sept 2026, 05:16
12,560
+8
4 Sept 2026, 01:19
12,552
+49
2 Sept 2026, 18:58
12,503
+5
1 Sept 2026, 19:43
12,498
-11
31 Aug 2026, 20:07
12,509
-2
30 Aug 2026, 17:58
12,511
-9
29 Aug 2026, 18:15
12,520
-2
28 Aug 2026, 20:03
12,522
+2
27 Aug 2026, 22:04
12,520
-4
27 Aug 2026, 01:14
12,524
+2
25 Aug 2026, 23:12
12,522
-2
24 Aug 2026, 23:58
12,524
-1
23 Aug 2026, 12:45
12,525
+7
22 Aug 2026, 01:45
12,518
+11
20 Aug 2026, 16:03
12,507
first reading
Engagement
45 posts held, back to 1 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.9%
avg views ÷ 12,692 subscribers
Avg views / post
1,510
13 posts measured
Reaction rate
2.84%
reactions ÷ views · ER floor
Posts in window
13
of 45 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
45 (1 August 2026 – 2 September 2026)
Views total
19,638
Reactions total
557
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 21:42 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
6m 52s
Average length
41s
Measured directly from 10 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
2,431 reactions across 45 posts, in 19 distinct kinds. The most used accounts for 52.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,282
52.7%
🔥
377
15.5%
❤🔥
301
12.4%
😍
174
7.16%
😱
81
3.33%
🤯
43
1.77%
💯
39
1.60%
😁
36
1.48%
💔
27
1.11%
🤩
15
0.617%
👍
10
0.411%
🤣
10
0.411%
😭
9
0.37%
👌
8
0.329%
💘
7
0.288%
😇
4
0.165%
🙏
3
0.123%
🫡
3
0.123%
👏
2
0.082%
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 45 of the 45 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 2,431 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 1 August 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
4
of 45 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doveryainoproveryai. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 45 most recent posts we hold for this entry, published 1 August 2026 to 2 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Еще недавно все обсуждали будущую Met Gala, темой которой должен был стать Джон Гальяно. Но теперь стало известно, что выставку отменили
Практически сразу после объявления темы начался скандал. Многие вспомнили 2011 год, когда появилось видео, на котором Гальяно произносит антисемитские и расистские оскорбления. Позже дизайнер прошел реабилитацию и извинился
По данным The New York Times, некоторые спонсоры Met пред…
Кстати, в коллекции Pre-Fall 2023 бренд сделал перевыпуск этого платья. На первый взгляд все выглядит практически так же, но если сравнивать две версии рядом, разница становится очевидной
Новое платье намного проще по исполнению, хуже по качеству и выглядит легче. Ну и цена у него, соответственно, гораздо ниже
Мне нравится сама идея вернуть культовый дизайн из архива, но именно эта версия меня совсем не впечатлила
…
Но самое интересное, что посмотреть фильм мы решили неслучайно — именно подиумная версия этого платья есть в коллекции у моего друга и мне посчастливилось его примерить!
Правда, оно оказалось маловато и на спине не застегнулось, поэтому прогулки в нем не случилось..
Забавно, как тесен мир Авито!
Именно про это платье мне написали в комментариях к предыдущему посту, там можете увидеть его цену🤭
Когда я была во Франции, мы с друзьями пересматривали фильм «Из 13 в 30», в котором Дженнифер Гарнер была в культовом подиумном платье Versace из коллекции 2003 года
Такое же платье, правда, в других версиях, появлялось на Пэрис Хилтон, а в 2021 году Ариана Гранде выбрала его для шоу The Voice
Я просто обожаю замечать такие детали в фильмах и сериалах. После этого сразу хочется пойти изучать коллекцию, искать архив…
Продолжаю рубрику «Чёрный список» на Авито
Очередной продавец с хорошим рейтингом и большим количеством подписчиков, который выдает фейки за оригинал
Мы уже привыкли, что профили в стиле «разгружаю гардероб» нередко продают подделки (хотя, конечно, бывают исключения), но здесь как раз тот случай
БОльшая часть отзывов, конечно же, положительная: покупатели благодарят продавца за оригинальные вещи в идеальном состоя…
Недавно выложила рилс про бирки в сумках Prada, и мне написали вот такой комментарий. Поэтому решила отдельно обсудить с вами эту тему
Если вы видите в сумке какую-то бирку, которая кажется вам странной, необычной или просто не похожей на те, что вы привыкли видеть, ни в коем случае не спешите ее срезать. Особенно если вы уверены в подлинности сумки и покупали ее в бутике
Если бирки или другие элементы срезаны, у п…
Карди Би в новом клипе на трек «Ah Ha» появилась в кастомном комплекте Dior из коллекции FW2003
Кстати, в костюме из этой же коллекции я совсем недавно гуляла по Парижу🥹
В мае я проходила повышение квалификации...
После обучения аутентификации в Китае я уверенно могу сказать, что любые копии можно аутентифицировать!
Поделилась своим опытом и рассказала о том, как проходили занятия!
Рассказывать больше?🫶
Посмотрите, какая новая модель сандалий вышла у Loewe
Вместо привычного логотипа бренд сделал пять металлических пряжек в виде букв, которые складываются в название Loewe. Причем выглядят они как функциональные застежки, но на самом деле не регулируются и выполняют декоративную функцию
Супер вариант для тех, кто не любит очевидные логотипы. Здесь он вроде бы есть, но считывается только если присмотреться
Как вам т…
Многие уверены, что в люксовых брендах штампы всегда должны выглядеть идеально. Но на самом деле даже у оригинальных сумок можно встретить вот такие варианты, когда краска или фольга выходит за контуры букв
Такое может происходить из-за особенностей производства: в зону тиснения попало слишком много фольги или красителя, температура была выше необходимой, пресс давил сильнее или дольше, чем нужно, либо сама кожа име…
Как-то так получилось, что фото с этого чудесного вечера на фоне Эйфелевой башни оказались в архиве!
Надписи Дагестан, КЧР и Чечня, кстати, уже закрасили, там была целая очередь на фото🤭
Ну а я не просто так сфотографировалась у КЧР, и возможно когда-нибудь я расскажу вам почему))
А на мне
Футболка Abuse Club
Юбка Nikonorova
Сотрудничество с Dovery auth🤎
Работаете с большим количеством вещей на ресейле и не хотите каждый раз переживать: оригинал перед вами или фейк?
Если вы байер, реселлер или развиваете собственный resale-проект, а проверки на подлинность нужны вам регулярно — Dovery Auth можно использовать как постоянный инструмент аутентификации для вашего бизнеса
Вы отправляете вещь на проверку через нашего Telegram-бота, а по рез…
😍10❤8❤🔥6🙏3😱2
Showing the 12 most recent of 45 posts we hold for @doveryainoproveryai. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 45 most recent posts we hold, published 1 August 2026 to 2 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
Mentions
Named by 1 registered channel — 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.
Вишлист @myhotelki · 48,559 Telegram ranks this channel #15 of 86 here — alongside 85 others — read 26 August 2026
Fashion dnevnik @fashiondnevnik · 26,418 Telegram ranks this channel #16 of 74 here — alongside 73 others — read 12 September 2026
Доступный стиль by Tsvetaeva @korolevatsvetaeva · 27,766 Telegram ranks this channel #21 of 65 here — alongside 64 others — read 10 September 2026
Azalia L/ stylist @azalial · 42,554 Telegram ranks this channel #21 of 69 here — alongside 68 others — read 29 August 2026
PERVERT @perrverrt · 23,039 Telegram ranks this channel #30 of 71 here — alongside 70 others — read 19 September 2026
Будни Гальяно @budnigalliano · 27,853 Telegram ranks this channel #31 of 89 here — alongside 88 others — read 10 September 2026
Olga Krayzman @olgakrayzman · 25,821 Telegram ranks this channel #33 of 86 here — alongside 85 others — read 13 September 2026
Чувства Wearующих @wearfeelings · 70,024 Telegram ranks this channel #40 of 78 here — alongside 77 others — read 20 August 2026
Vrednayamoda / Вредная Мода @vrednayamoda · 188,661 Telegram ranks this channel #51 of 69 here — alongside 68 others — read 11 August 2026
t.d.mood @tdmood · 21,678 Telegram ranks this channel #60 of 78 here — alongside 77 others — read 23 September 2026
Мамкина модница @mamkina · 30,156 Telegram ranks this channel #78 of 87 here — alongside 86 others — read 7 September 2026
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Доверяй, но проверяй” (@doveryainoproveryai), 12,692 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/doveryainoproveryai.
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.