Memes & entertainment — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 89% 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
36 measurements spanning 51 days, net -6,814. 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 119,928–128,786 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
25 Sept 2026, 23:57
120,950
-927
19 Sept 2026, 06:21
121,877
-241
16 Sept 2026, 21:36
122,118
-231
15 Sept 2026, 00:02
122,349
-242
13 Sept 2026, 07:00
122,591
-232
11 Sept 2026, 07:19
122,823
-418
8 Sept 2026, 13:00
123,241
-428
5 Sept 2026, 05:01
123,669
-205
3 Sept 2026, 09:34
123,874
-132
2 Sept 2026, 06:27
124,006
-160
1 Sept 2026, 03:04
124,166
-144
31 Aug 2026, 04:06
124,310
-121
30 Aug 2026, 06:13
124,431
-130
29 Aug 2026, 06:54
124,561
-144
28 Aug 2026, 04:36
124,705
-122
27 Aug 2026, 05:47
124,827
-151
26 Aug 2026, 02:27
124,978
-158
25 Aug 2026, 05:34
125,136
-115
24 Aug 2026, 04:43
125,251
-183
22 Aug 2026, 15:26
125,434
first reading
Engagement
301 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 118 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.55%
avg views ÷ 120,950 subscribers
Avg views / post
666
158 posts measured
Reaction rate
2.87%
reactions ÷ views · ER floor
Posts in window
158
of 301 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. It is computed over the 157 of 158 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 October 2026
Posts held
301 (5 August 2026 – 2 October 2026)
Views total
105,186
Reactions total
3,013
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 22:46 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
Photos
≈20,000
Videos
≈3,060
Links
≈242
Lifetime counters from Telegram’s own channel header, read 2 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1h 05m
Average length
31s
Measured directly from 125 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
6,039 reactions across 297 posts, in 9 distinct kinds. The most used accounts for 57.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,470
57.5%
🔥
1,290
21.4%
🥰
448
7.42%
👍
348
5.76%
😱
202
3.34%
😭
127
2.10%
👎
74
1.23%
🤣
74
1.23%
🤬
6
0.099%
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 300 of the 301 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 6,116 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 301 most recent posts we hold, published 5 August 2026 to 2 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 301 we hold a reading for · 0.7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @etolizochka. 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 301 most recent posts we hold for this entry, published 5 August 2026 to 2 October 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.
Я даже не могу объяснить, что чувствует молодая женщина в середине своей карьеры, когда ей дают возможность быть услышанной. Это было невероятно — я смогла участвовать в обсуждениях, частью которых раньше никогда не была,
— рассказывает Флоренс Пью в новом интервью.
Актриса рассказала о работе над сериалом «К востоку от Эдема», который стал для неё новым опытом не только как для актрисы, но и как для продюсера. Пью …
Я хотел исследовать другую версию себя — молчаливую и доведённую до крайности. Своего рода уверенность в себе,
— признаётся Джереми Аллен Уайт в новом интервью M Le magazine du Monde.
35-летний актёр стал героем обложки специального мужского номера издания. Звезда «Медведя» рассказал о своём новом статусе модной иконы после кампаний Calvin Klein и сотрудничества с Louis Vuitton, а также о ролях в большом кино.
A24 превратила Роберта Паттинсона в матрёшку — студия выпустила набор из шести деревянных фигурок с персонажами актёра из своих фильмов.
Внутри друг друга спрятались Крис Хансен из «Прайм-тайма», Чарли Томпсон из «Вот это драма!», герой «Маяка» Эфраим Уинслоу/Томас Ховард, Монте из «Высшего общества», Конни из «Хорошего времени» и Рей из «Ровера».
За коллекционного Паттинсона в шести экземплярах просят $42.
В Париже прошёл показ Schiaparelli — Дэниел Роузберри сделал новую коллекцию заметно спокойнее и перенёс кутюрные приёмы в повседневный гардероб.
В центре — трикотажные и полупрозрачные платья, кожаные топы и вещи с объёмными воланами, вдохновлёнными шторами из ателье Эльзы Скиапарелли. При этом фирменный сюрреализм никуда не исчез: массивное золото, корсеты, необычные силуэты и платье из волос.
Отдельно Роузберри …
В этом сезоне мной двигала любовь к Chloé,
— призналась Чемена Камали после показа новой коллекции Дома в Париже.
На подиуме — кружево, полупрозрачные ткани, бахрома и воздушные банты в сочетании с глубокими декольте, металлическими бра, капри и объёмными плечами. Отдельный акцент — огромные шляпы и капюшоны, почти полностью скрывающие лица моделей, а также дождевики и тренчи, добавившие романтичному бохо Chloé немн…
Balenciaga представили коллекцию Summer 2027 в Париже 🐚
Шоу получило название Les Coraux de la Liberté — «Кораллы свободы». Морскую тему дизайнер перенёс в сами силуэты: объёмные воротники и рукава напоминают причудливые формы рифов, а воздушные полупрозрачные платья соседствуют с тяжёлой кожей, денимом и нарочито длинными брюками.
Отдельное внимание досталось аксессуарам — серьгам почти до бёдер и мягким сумкам с …
Хайдер Акерманн представил новую коллекцию Tom Ford весна-лето 2027 на Неделе моды в Париже 🖤
Дизайнер продолжил исследовать фирменную сексуальность модного дома: вытянутые силуэты, безупречный тейлоринг, открытое тело и подчеркнутую чувственность. Строгие формы соседствовали с более расслабленными образами, а минимализм Акерманна — с привычными для дома гламуром и провокацией.
Среди главных лиц показа — Мариякарла…
Я хочу играть сложных женщин, которым позволено быть смешными, несовершенными, противоречивыми и непредсказуемыми. И всё чаще я хочу участвовать в создании этих историй с самого начала,
— рассуждает Нина Добрев в новом интервью для Hamptons Magazine.
Актриса всё активнее пробует себя за камерой — в продюсировании и режиссуре. Среди её будущих проектов — «Это случилось однажды летом» и «Ты заслуживаешь знать», где До…
Лиса из BLACKPINK стала лицом Nike Moon Shoe 💞
Moon Shoe — одна из самых знаковых моделей в истории Nike: её оригинал появился ещё в начале 1970-х, а знаменитую вафельную подошву Билл Бауэрман придумал с помощью обычной вафельницы.
Vogue показал первые образы из коллекции Джона Гальяно для Zara ❤️
Дизайнер взял уже существующие модели бренда и полностью их переосмыслил: вещи деконструировали, перекроили и собрали заново. В результате получились сложные многослойные образы с узнаваемой эстетикой Гальяно и отсылками к его работе в Maison Margiela.
Сам Гальяно отметил, что не стал упрощать идеи ради масс-маркета, а производственные возможности Z…
🤣5❤4🔥3😱2👍1🥰1
Showing the 12 most recent of 301 posts we hold for @etolizochka. 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.
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.
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 13 August 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.
Сергей Григорьев-Апполонов @greywiese · 113,795 Telegram ranks this channel #55 of 63 here — alongside 62 others — read 15 September 2026
москоугёрлз @mossgirls · 955,222 Telegram ranks this channel #58 of 86 here — alongside 85 others — read 8 August 2026
This channel appears in 2 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Это Лиза” (@etolizochka), 120,950 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/etolizochka.
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.