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 10 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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 44 days, net -2,638. 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 22,724–27,651 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 17:39
24,444
+4
16 Sept 2026, 09:55
24,440
+530
14 Sept 2026, 12:38
23,910
-261
12 Sept 2026, 19:59
24,171
-594
11 Sept 2026, 00:20
24,765
+767
7 Sept 2026, 21:39
23,998
-78
4 Sept 2026, 23:39
24,076
-352
3 Sept 2026, 09:33
24,428
-626
2 Sept 2026, 05:34
25,054
-231
1 Sept 2026, 08:18
25,285
+160
31 Aug 2026, 11:16
25,125
-18
30 Aug 2026, 09:07
25,143
-240
29 Aug 2026, 08:57
25,383
+564
28 Aug 2026, 09:43
24,819
+236
27 Aug 2026, 12:08
24,583
+1,291
26 Aug 2026, 08:43
23,292
-79
25 Aug 2026, 11:47
23,371
-81
24 Aug 2026, 13:28
23,452
-148
22 Aug 2026, 21:15
23,600
-157
21 Aug 2026, 11:14
23,757
first reading
Engagement
115 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.00%
avg views ÷ 24,444 subscribers
Avg views / post
2,200
37 posts measured
Reaction rate
2.96%
reactions ÷ views · ER floor
Posts in window
37
of 115 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
115 (1 August 2026 – 3 September 2026)
Views total
81,399
Reactions total
2,412
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:50 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
3m 52s
Average length
33s
Measured directly from 7 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
6,454 reactions across 101 posts, in 19 distinct kinds. The most used accounts for 52.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,357
52.0%
🔥
1,106
17.1%
🥰
608
9.42%
👍
293
4.54%
💘
226
3.50%
😁
207
3.21%
💯
158
2.45%
😱
118
1.83%
❤🔥
115
1.78%
😍
73
1.13%
✍
64
0.992%
👏
45
0.697%
🍾
36
0.558%
💋
24
0.372%
🙏
9
0.139%
☃
6
0.093%
🤝
4
0.062%
🫡
3
0.046%
🎉
2
0.031%
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 114 of the 115 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 7,495 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 115 most recent posts we hold, published 1 August 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.
Advertising
Ad load
1.74%
2 of 115 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
2,470
over 2 measured posts
Median views · rest
2,590
over 112 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFHKh4FB
1
27 August 2026
27 August 2026
2W5zFHVX4KK
1
24 August 2026
24 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.
Measured over the 115 most recent posts we hold, published 1 August 2026 to 3 September 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.
Новинка от Dyson
Бренд выпустил щетку-ирригатор с умным управлением и камерой (только моим зубам я еще не делала фотосессии дома) за $500.
ИИ поможет распознать, где есть проблемы, загрязнения, а ирригатор с ними справится.
Только вот в силу наличия пены от пасты вы или покупаете пасту специальную от Dyson (что? да) вместе с другими аксессуарами или игнорируете плохое качество чистки. Камера просто будет в пасте…
…
Если бы мне сказали, что стик может заменить крем, Госпожа внутри меня бы ни за что не поверила
В моем случае, зона вокруг глаз всегда была проблемной (и не только в моем). Сухость, стянутость, мелкие морщинки – активная мимика, отсутствие сальных желез и плотного защитного барьера значительно сказывается на состоянии кожи. И сколько бы средств моя душенька не перепробовала, всегда всего кажется мало.
Поэтому первы…
Кстати, у Seneca (магазин проф средств для волос и не только) на Ozon какие-то супер приятные скидки.
Обращаем внимание на K18 (есть статья на канале про разницу между ним и Олаплекс), re:bond, стайлинг Maria Nila и лаки lakur.
Руки никак не доходят до сравнений всех этих бондов для волос, а надо ли?
Срочные новости, душечки!
Ботоксы эти ваши не нужны. Оказывается, можно выглядеть гораздо моложе своих лет без косметики, пластики и врачей.
Хохочу и подтверждаю: способ стопроцентно рабочий.
Защита тылов
Ваша Госпожа часто вижу, как люди боятся активных уходов. Ретиноиды, кислоты, спикулы – всё это звучит порой очень страшно, особенно, если кожа уже хоть раз пострадала. Но проблема обычно не в самих активах.
хотя знаю я вашу любовь к высоким концентрациям
В этом канале есть аксиома, которой каждая из вас должна следовать: без хорошей базы ни один актив не будет работать так, как нужно. И если вы вводи…
Зачем ботулотоксин ставят не только в лоб
Кроме коррекции мимических морщин, ботулинический токсин используют, например:
– при гипергидрозе (избыточное потоотделение)
– для некоторых мышц нижней трети лица (бруксизм, моя история)
– в области шеи по показаниям (мышцы платизмы)
– при ряде медицинских состояний (неврологические нарушения,
И каждый такой случай требует уже других доз, схем, и, возможно, даже врача…
Сколько держится ботулинотерапия
В среднем косметический эффект ботулотоксина присутствует от 3-4 до 7-8 месяцев.
На саму продолжительность действия токсина влияют:
• зона • дозировка • особенности мышечной активности • препарат • индивидуальная реакция
Сейчас, к сожалению, многие отмечаются все большую резистентность. Факторов много – эпидемия ковида, чистота самого препарата, а также образ жизни.
И важное:
по…
Не хватает только гречки с сосисками, стакана не то кофе, не то какао и яблока/груши.
P.S. нужно ввести индекс роста цен столовой пиццы, на моей памяти, все началось с 8-10 рублей
Ботокс и все, что нужно про него знать.
Раз уж сегодня День знаний, то и говорить будем о полезном. Назовем эту рубрику косметический паспорт процедуры. И на очереди у нас ботулотоксин.
Разберём от лба до подмышек:
– сколько работает – когда повторять и нужно ли – зачем ставят в шею, челюсть и не только – какие бывают побочные эффекты – существует ли правильный возраст
Сохраняйте себе, мамам и подругам. Про дочер…
6 свиданий с электрическим стулом: финальный вердикт по Emsella
Курс из 6 процедур на аппарате подошел к концу, пора вашей Госпоже подводить итоги сие перфоманса.
Вкратце про технологию:
Emsella работает за счёт HIFEM – высокоинтенсивного электромагнитного поля, которое вызывает глубокие сокращения мышц тазового дна. Одна процедура длится около 28 минут, проходит прямо в одежде (лучше облегающая по типу лосин) и б…
Показываю и рассказываю о последних новинках косметического гардероба
Никакой Человек-паук, Колобок, Одиссея, прости господи, мне точно не нужны, дайте красивые, роскошные по составу баночки. Кстати, тестировала Госпожа не одна, а в паре с Генералом, от него тоже будет комментарий.
Начнемс с космецевтики:
Clinical+ skin gentle cream cleanser
Несмотря на название gentle, это самое настоящее очищение, которое легко…
❤51🔥24👏17😁5
Showing the 12 most recent of 115 posts we hold for @skingospozha. 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
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 4 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.
Болтушка от прыщей @sovaznaet · 23,258 Telegram ranks this channel #4 of 83 here — alongside 82 others — read 18 September 2026
ANANASSKIN🧴PRO КОЖУ И УХОД @ananasskin · 34,876 Telegram ranks this channel #4 of 80 here — alongside 79 others — read 2 September 2026
Косметический маньяк @cosmetman_com · 27,021 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 11 September 2026
1001 маска @maska1001 · 21,565 Telegram ranks this channel #10 of 81 here — alongside 80 others — read 23 September 2026
Правьте балом! @beautyarch · 22,719 Telegram ranks this channel #10 of 86 here — alongside 85 others — read 20 September 2026
Бьюти-телеграммы @beauty_goldman · 22,025 Telegram ranks this channel #13 of 85 here — alongside 84 others — read 22 September 2026
Пополняю косметички @olyssblog · 26,724 Telegram ranks this channel #13 of 86 here — alongside 85 others — read 12 September 2026
Крис печатает... @krisistyping · 52,518 Telegram ranks this channel #13 of 87 here — alongside 86 others — read 24 August 2026
BEAUTY HUB @immelybeauty · 23,235 Telegram ranks this channel #14 of 81 here — alongside 80 others — read 18 September 2026
СЕРГЕЙ НАУМОВ @naumita · 60,091 Telegram ranks this channel #15 of 88 here — alongside 87 others — read 22 August 2026
фрисби @skidka_wow · 34,455 Telegram ranks this channel #16 of 75 here — alongside 74 others — read 12 September 2026
Дерматология Быканова @dr_bykanov · 62,459 Telegram ranks this channel #16 of 97 here — alongside 96 others — read 21 August 2026
очень много косметики @myatnayajvachka · 26,105 Telegram ranks this channel #20 of 82 here — alongside 81 others — read 12 September 2026
жопа луковичкой @dash_kupi_garazh · 31,191 Telegram ranks this channel #26 of 90 here — alongside 89 others — read 6 September 2026
Модная Курочка @ya_b_kupila · 22,836 Telegram ranks this channel #28 of 86 here — alongside 85 others — read 19 September 2026
В женской шкуре @elya_bulochka · 49,447 Telegram ranks this channel #28 of 89 here — alongside 88 others — read 25 August 2026
сияй, Эля, сияй @gloweblow · 30,114 Telegram ranks this channel #29 of 82 here — alongside 81 others — read 7 September 2026
Что-то на томфордовском @tf_love · 21,796 Telegram ranks this channel #33 of 76 here — alongside 75 others — read 22 September 2026
BeautyAD Anna Dycheva @Beauty_AD · 26,084 Telegram ranks this channel #35 of 88 here — alongside 87 others — read 13 September 2026
Визуальная манка @storiesMKramer · 28,493 Telegram ranks this channel #35 of 90 here — alongside 89 others — read 9 September 2026
Зашиваюсь, но пишу @zakharova_studio · 23,699 Telegram ranks this channel #40 of 90 here — alongside 89 others — read 17 September 2026
Holika Holika и друзья @holikaholikarussia · 25,372 Telegram ranks this channel #41 of 67 here — alongside 66 others — read 14 September 2026
Ненудный нюд @makeup_stories · 27,179 Telegram ranks this channel #42 of 88 here — alongside 87 others — read 11 September 2026
Косметичка Бо Хян @Bonyabohyun · 52,961 Telegram ranks this channel #42 of 75 here — alongside 74 others — read 24 August 2026
This channel appears in 49 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Кожаная Госпожа” (@skingospozha), 24,444 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/skingospozha.
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.