2 measurements taken within a single day, net +2. 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 156–158 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Nov 2026, 01:16
158
+2
4 Nov 2026, 01:22
156
first reading
Engagement
19 posts held, back to 9 October 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
36.1%
avg views ÷ 158 subscribers
Avg views / post
57.0
19 posts measured
Reaction rate
15.2%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 November 2026
Posts held
19 (9 October 2026 – 2 November 2026)
Views total
1,083
Reactions total
165
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 01:22 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
1m 13s
Average length
24s
Measured directly from 3 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
165 reactions across 19 posts, in 14 distinct kinds. The most used accounts for 40.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
66
40.0%
🔥
38
23.0%
🤗
18
10.9%
😁
14
8.48%
👍
5
3.03%
💯
5
3.03%
👏
4
2.42%
😭
4
2.42%
💩
3
1.82%
😇
2
1.21%
🙈
2
1.21%
🥰
2
1.21%
🤣
1
0.606%
🤮
1
0.606%
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 165 reactions 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 9 October 2026 to 2 November 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
3
across the posts below
Posts paid on
3
of 19 we hold a reading for · 16%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ezhelinika. 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 9 October 2026 to 2 November 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
Telegram’s own ‘edited’ marker: 5 of 19 posts held from the last 30 days (26.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
👍С консультантом в магазине разболтались про менструальный цикл
И как же, блядь, меня это порадовало в моменте!
Это была не аптека и не какой-то специализированный магазин.
А зоомагазин, где я всё время покупаю вкусняшки для Тихона и Шуши.
Там работает прекрасная девушка, с которой мы всё время смолтОчим))
Она рассказывает мне про линьку своей белки 🐿, а я хвастаю фотками вязанья ахахх
И вот, очередной такой разго…
🍓Яблочки обрели каёмочку!
В деревянной мне не понравилось, как они смотрятся. Захотелось сделать рамку частью фона. Поэтому масляная пастель с фона распространилась и на рамку тоже 🧢
Специально не стала вырисовывать аккуратно, потому что яблочки сами по себе близки близки к эталонным аххаха
А рамка добавляет чуть неряшества))
Теперь когда посохнет чуть - обрызгаю лаком, чтоб не пачкалась.
А Я ТУТ НАВИГАЦИЮ КАНАЛА ОБНОВИЛА! 🐱
Очень даже пиздатенько и удобненько кликать на рубрики и читать!
Очень даже призываю это сделать!
Манипулируя милым зубиком с детской фотки🦷ахахах
(Не, без шуток, туда люкс улетает только 😎)
Или по хэштегам можно:
#трудологолический_рехаб
#сам_себе_и_хейтер_и_фанат
#хуевым_отношениям_говорим_нет
#мерзкое_и_мрачное
#нелюбимая_дочь
#ежели_психотерапия
#малый_бизнес_большая_пизда
…
Романтический рилсик подъехал! 🥺♥️
Я и знать не знала, что у нас с Димой столько милых моментов заснято))
Кто-то даже сохранил ролик себе в инсте)
Поэтому я решила подписать, что сраться мы вообще-то тоже умеем!
А не только умиляемся друг другу пхаххаха
Давайте срочно чекать, кем вы могли бы родиться в другой жизни! ахаха
На сайте можно сгенерить. Мне рандом показал супер богатую девчонку!😂 С религией ислам!
А Диме блин девчонку из Африки очень бедную. Там было написано: «Вы входите в 1% самого бедного населения страны».
Пиздец 🤣
Как я маломальски ввела спорт в жизнь
Мне всегда казалось, что спорт имеет смысл только тогда, когда ты занимаешься им 3 раза в неделю минимум. Да еще и по 2 часа.
И так, чтоб обязательно тренажерка. И так, чтоб ты ненавидел эту беговую дорожку уже всем нутром. Именно такой пиздец я себе организовала, когда худела на 13 кг.
Это было много лет назад – тогда я набрала на стрессе и алкоголе. И призналась себе в этом,…
Хочется узнать ваше мнение!)
Как думаете, для таких обязанностей 60-90 тысяч, это ок зп? Предлагается работать полный день. Кандидатов рассматривают от 3-х лет опыта в маркетинге.
Сколько там проектов - не написано. Ну возьмем по-минимуму 5.
Вот я сижу и думаю: то ли я лохушка, и могу себе найти помощника за такие деньги. И это типа считается норм вознаграждение за такую работу.
То ли это реально пиздец 🌚
Помните, я рассказывала про 9 котов, которые живут у нас на Ресепшене в подъезде?
Только посмотрите, как консьержка о них заботится! 🤗
У Пепла (он справа) весь хвост был в колючках - сегодня трогаю, гладенький уже!) Вот она мне и показала, как чухает их 😁
Все эти коты подобраны с улицы, благодаря собственнице дома! Оказывается, за все годы они спасли 26 душ!
Они существуют!!!! 😰Взрослые люди, которые отзываются о маме так:
«Я разговариваю с собой добрым голосом, потому что его в меня поместила мама. Она говорила со мной так, а потом её голос стал моим внутренним.
Её нет в живых уже 20 лет. Но я не могу сказать, что мне не хватает ее тепла сейчас. Потому что то количество опоры, что она мне дала - навсегда осталось в моем сердце.
У меня самой уже двое детей. И недавно …
Крестница написала мне стишок 😭💔 И «добила» тем, что прочитала его вслух 😪 Я думала, умру там просто!!! МОЙ АНГЕЛ!
Говорю ей: «Хочу, чтобы моя дочка была похожа на тебя».
А она мне: «И я хочу!»
Я не уточнила - тоже хочет, чтобы моя дочка на нее была похожа или хочет дочку, похожую на меня 😁
Также в этот день мы обнаружили семью мертвых хомяков… Долго разглядывали со всех сторон: определили, кто родитель, а кто детк…
❤5🤗5😭1
Showing the 12 most recent of 19 posts we hold for @ezhelinika. 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 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.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ежели на разум уповаешь” (@ezhelinika), 158 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/ezhelinika.
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.