Channel
@lizassnn
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
2,114subscribers
-1 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001949779986 |
|---|---|
| Type | Channel |
| Username | @lizassnn |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/lizassnn |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 06:36 | 2,114 | -1 |
| 13 Aug 2026, 13:17 | 2,115 | first reading |
19 posts held, back to 11 April 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 23 July 2026 |
|---|---|
| Posts held | 19 (11 April 2026 – 23 July 2026) |
| Views total | 1,180 |
| Reactions total | 55 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 13:17 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.
1,388 reactions across 19 posts, in 12 distinct kinds. The most used accounts for 37.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 520 | 37.5% | |
| 🤣 | 205 | 14.8% | |
| 💔 | 175 | 12.6% | |
| 💯 | 168 | 12.1% | |
| 💘 | 120 | 8.65% | |
| 😈 | 82 | 5.91% | |
| 😇 | 52 | 3.75% | |
| 🕊 | 38 | 2.74% | |
| 💋 | 20 | 1.44% | |
| 🥰 | 4 | 0.288% | |
| 🔥 | 2 | 0.144% | |
| 😭 | 2 | 0.144% |
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 19 of the 19 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 1,388reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 11 April 2026 to 23 July 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lizassnn. 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 19 most recent posts we hold for this entry, published 11 April 2026 to 23 July 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.
Лучшее ламинирование ресниц! Чтобы вы понимали, на фото мои ресницы даже не накрашены 🥹 Очень рекомендую Дашу Тем, кто пойдет и скажет, что от меня — скидка на любую процедуру, записывайтесь 🤍
❤49🥰4🔥2
Депресую
💔47❤3
С праздником Великой Победы ♥️ В школьное время даже не задумывалась насколько это важно чтить память, хотя бы задуматься об этом про себя Пусть всё будет мирно
❤73🕊21
Моя темная сторона, теперь вы знаете
❤31😇7
Мне иногда кажется я мужененавистница
❤48🤣13💯6😈6
Когда я грущу или у меня что-то не получается, я всегда вспоминаю, что Всевышний благословил меня дружбой с такими людьми Хотя подругами нас назвать уже тяжело🥹🤍
💘57❤17💔7😭1
Я:
🤣53💘12😈5❤1😭1
Video message, posted without a caption
😈71💘25💋10❤6
Конечно мне не хочется , чтобы эти сообщения несли негатив именно касаемо страны Я родилась тут и у меня было очень хорошее детство (отчасти в этой стране тоже) Я благодарна, что я училась в хороших школах здесь, я всегда ела домашнюю еду и домашние продукты здесь Мне готовили, за мной убирали , я учила языки, ходила на кружки , занималась спортом здесь В детстве у меня было всё и даже больше Но сейчас , это просто…
💯76💔22
Сейчас в нынешних условиях, когда работаю я, ЛИЧНО я в ахере «Можно автоматизировать процессы» окей, я делаю это со своей стороны и я плачу налоги 🎀 Но большинство моих клиентов - иностранцы и я просто реально устала Устала от того, что российские банки, платежные системы, агенты и банки «дружественных» стран не могу автоматизировать СВОИ процессы в России И деньги за твою , казалось бы , честную работу ты можешь жд…
💔48💯13❤1
Можно продолжать бесконечно и дальше - зарплаты , цены на продукты/ на жилье/ на транспорт , ЦЕННОСТИ в конце концов Я не знаю как было раньше, но я выросла (относительно) только сейчас И это полное днище
💔39💯12❤7
За последнее время не было ни дня , когда я не подумала о том Как меня бесит то, что в 90% приложений я должна заходить с впн Как бесит и то, что даже иногда впн глушат и ничего не работает Как бесит то, что чтобы что-то заработало, нужно всё по 10001 раз перезагрузить Бесит то, что теряешь на этом время Как напрягает то, что иногда даже банальное сообщение смской может не дойти близкому человеку, потому что в некот…
💯51❤17💔5
Showing the 12 most recent of 19 posts we hold for @lizassnn. 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.
Citation-graph rank — 1,424,129 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“lizi” (@lizassnn), 2,114 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/lizassnn.
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.