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Channel

фетисова

@lizafetliza

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

7,873subscribers

+1,004 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001962082519
TypeChannel
Username@lizafetliza
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/lizafetliza

Topic

Personal blog — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

6,8697,8737,3716 August 2026 — 6,869 subscribers6 August 2026 — 6,869 subscribers9 August 2026 — 6,933 subscribers12 August 2026 — 6,978 subscribers15 August 2026 — 7,157 subscribers18 August 2026 — 7,403 subscribers21 August 2026 — 7,444 subscribers25 August 2026 — 7,483 subscribers28 August 2026 — 7,499 subscribers31 August 2026 — 7,518 subscribers4 September 2026 — 7,606 subscribers8 September 2026 — 7,668 subscribers12 September 2026 — 7,864 subscribers16 September 2026 — 7,873 subscribers6 August 202616 September 2026
14 measurements spanning 41 days, net +1,004. 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 6,718–8,024 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 11:367,873+9
12 Sept 2026, 14:017,864+196
8 Sept 2026, 21:597,668+62
4 Sept 2026, 01:227,606+88
31 Aug 2026, 09:047,518+19
28 Aug 2026, 15:047,499+16
25 Aug 2026, 04:577,483+39
21 Aug 2026, 18:467,444+41
18 Aug 2026, 05:527,403+246
15 Aug 2026, 13:567,157+179
12 Aug 2026, 02:526,978+45
9 Aug 2026, 09:526,933+64
6 Aug 2026, 03:176,869no change
6 Aug 2026, 02:366,869first reading

Engagement

7 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
38.7%
avg views ÷ 7,873 subscribers
Avg views / post
3,050
1 post measured
Reaction rate
18.7%
reactions ÷ views · ER floor
Posts in window
1
of 7 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
WindowRolling 30 days · latest post in window 25 August 2026
Posts held7 (30 July 202625 August 2026)
Views total3,050
Reactions total570
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 22:13 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
27s
Average length
14s

Measured directly from 2 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

2,974 reactions across 7 posts, in 6 distinct kinds. The most used accounts for 65.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,95265.6%
❤‍🔥51717.4%
🔥2357.90%
🥰2267.60%
💔351.18%
😭90.303%

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 7 of the 7 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 2,974 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 30 July 2026 to 25 August 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
11
across the posts below
Posts paid on
4
of 7 we hold a reading for · 57%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lizafetliza. 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 7 most recent posts we hold for this entry, published 30 July 2026 to 25 August 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.

Recent posts

25 Aug 2026, 14:15 UTC≈3,050 views570 reactions1 Starread 28 August 2026
Photo

тетя рысь!!!!! напала!!!! охомутала!!!!

367❤‍🔥123🔥73🥰7

23 Aug 2026, 08:44 UTC≈4,160 views844 reactions7 Starsread 28 August 2026
Photo

мне исполнился 31 год На днях (20 августа) у меня был день рождения! На именины принято угощать своих друзей конфетками, поэтому позвольте поделиться с вами карамельками своего опыта. 30-летие я встречала в жутком ля депресьон. Судьба всегда была ко мне блага, и у меня нет права на нее жаловаться. Но в тот день рождения я ощутила, как начала расползаться под гнетом собственной убогости. И сейчас даже неловко перечи

546❤‍🔥172🥰109🔥17

15 Aug 2026, 09:24 UTC≈6,110 views507 reactionsread 28 August 2026
Photo

в запале лекции говорю москвичам: этот поздний капитализм в связке с неолиберализмом убеждает «ты можешь все, работай больше, будь продуктивнее, становись лучшей версией себя, и будет тебе успех и счастье». ну вот, продолжаю я, я работаю преподавателем на ставке 1740 часов в год — 6 пар 6 дней в неделю за 24к в месяц. КУДА ЕЩЕ БОЛЬШЕ РАБОТАТЬ?!?? как бы критикуя несостоятельность фантазий общества достижений о том,

345🔥91🥰50❤‍🔥16💔5

5 Aug 2026, 10:11 UTC≈6,170 views150 reactionsread 28 August 2026

раскупииииилииии, если появятся билеты — опубликую здесь 😍😍😍 всем спасибо и до встречи 🧚‍♀️🧚‍♀️🧚‍♀️

100❤‍🔥26🔥15😭9

5 Aug 2026, 08:42 UTC≈5,600 views336 reactionsread 25 August 2026
Photo

командировочная я по своей природе человек удивительно консервативной географии. путешествия, приключения, новые горизонты — все это гнусные и страшные слова для моей орнитологической организации траекторий — я всегда хожу одними и теми же маршрутами, ем в одних и тех же рестиках, нахожусь в одних и тех же местах. даже в мск останавливаюсь в одной и той же гостинице, хотя она мне больше не нравится, чем нравится — но

223❤‍🔥74💔28🥰11

4 Aug 2026, 10:39 UTC≈11,700 views134 reactions2 Starsread 20 August 2026
Photo

🗓лекции москва 14/15 августа 📌14 августа Общество достижений: как мы устали Сегодня мы постоянно должны становиться лучшей версией себя: работать эффективнее, любить как-то здоровее, быть осознаннее, счастливее и успешнее. Но если не получается — то значит, снова с тобой что-то не так. На этой лекции мы поговорим о том, как выгорание стало новой нормой, а достижение успеха новой моралью. Это лекция о мире, где к

77🔥39❤‍🔥16💔2

30 Jul 2026, 14:47 UTC≈4,420 views433 reactions1 Starread 12 August 2026
Photo

на вырост впервые мне понравилась поездка в мск! эта паршивка меня долго не воспринимала. и справедливости ради, это было обоюдно: мне там все было не по размеру в детстве мама в целях экономии часто покупала вещи на вырост — джинсы подлиннее да пошире, куртка с рукавами, радикально удлиняющимися на юг в сторону колен, ботиночки, в которых на время подкладывалась вата — так что сегодня я и мой мастер педикюра видим

294❤‍🔥90🥰49

Showing the 7 most recent of 7 posts we hold for @lizafetliza. 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.

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 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.

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“фетисова” (@lizafetliza), 7,873 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/lizafetliza.

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.