26 measurements spanning 30 days, net -76. 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 22,127–22,225 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
5 Sept 2026, 00:57
22,138
-1
2 Sept 2026, 02:05
22,139
-1
1 Sept 2026, 02:35
22,140
-8
31 Aug 2026, 03:13
22,148
-4
30 Aug 2026, 06:14
22,152
-6
29 Aug 2026, 08:34
22,158
-8
28 Aug 2026, 07:34
22,166
+3
27 Aug 2026, 06:27
22,163
+12
25 Aug 2026, 07:23
22,151
-1
24 Aug 2026, 06:16
22,152
-6
22 Aug 2026, 16:02
22,158
-17
21 Aug 2026, 09:28
22,175
-4
20 Aug 2026, 10:25
22,179
-3
19 Aug 2026, 11:34
22,182
-3
18 Aug 2026, 14:12
22,185
-11
17 Aug 2026, 13:12
22,196
-7
16 Aug 2026, 03:25
22,203
-2
14 Aug 2026, 16:16
22,205
+3
13 Aug 2026, 03:57
22,202
+1
12 Aug 2026, 04:36
22,201
first reading
Engagement
40 posts held, back to 28 June 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
49.4%
avg views ÷ 22,138 subscribers
Avg views / post
10,900
20 posts measured
Reaction rate
2.79%
reactions ÷ views · ER floor
Posts in window
20
of 40 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
40 (28 June 2026 – 3 September 2026)
Views total
218,570
Reactions total
6,102
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 12:47 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 17s
Average length
39s
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
12,443 reactions across 40 posts, in 18 distinct kinds. The most used accounts for 51.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
6,350
51.0%
🤡
1,093
8.78%
❤
771
6.20%
🌚
741
5.96%
🗿
694
5.58%
👏
614
4.93%
🍾
442
3.55%
🔥
371
2.98%
🤔
361
2.90%
👍
288
2.31%
🐳
182
1.46%
✍
164
1.32%
👎
155
1.25%
🌭
55
0.442%
👌
51
0.41%
💯
47
0.378%
🙏
38
0.305%
🥰
26
0.209%
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 40 of the 40 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 12,443 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 28 June 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.
Telegram Stars
Stars received
24
across the posts below
Posts paid on
11
of 40 we hold a reading for · 28%
Most on one post
11
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @EbaChronicles. 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 40 most recent posts we hold for this entry, published 28 June 2026 to 3 September 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.
#нампишут Только узнала, что таксисты ставят нам, пассажирам оценки.
И другие потом видят эти оценки и что-то там себе о пассажире думают.
С чего бы такое им разрешили? Это в момент выполнения заказа прислуга, которую я наняла!
Давайте уборщица или мастер будут оценивать состояние квартиры или техники, а не только я их
Или отель будет оценивать туристов, приехавший раз в год оторваться в отпуске?
Или магазин будет оц…
Мошенники украли у пенсионерки на Кубани рекордные 93 миллиона рублей.
69 летняя пенсионерка сначала передала код из сообщения, а потом перевела деньги на "безопасный счет". Сначала, 40 миллионов, а потом еще 53 с продажи квартиры - и только после этого женщина обратилась в полицию.
Вопрос знатокам - а что за квартиры на Кубани за 53 миллиона рублей?
#творчествоподписчиков
Здравствуйте, меня зовут Сергей.
В той семье все взрослые бухают
Не стесняясь маленьких детей.
Как мне быть, ведь мне не наливают?
Здравствуйте, меня зовут Антон.
Мой сосед - преступник, так и знайте,
Он машину ставит на газон
И порнуху юзает на сайте.
Здравствуйте, меня зовут Кирилл.
Я сутяжник в третьем поколеньи.
Кум вчера на лестнице курил,
На него пишу я заявленье.
Я - Колян, здарова, …
«У нас двойня»: жительница Ульяновска придумала беременность и двух детей, чтобы получать деньги от бывшего.
24-летняя девушка познакомилась с молодым человеком в интернете. Начались отношения, но вскоре пара рассталась, а мужчина переехал в Москву. Через некоторое время бывшая сообщила приятную новость — она якобы беременна. Позже по легенде родилась двойня.
Новоявленный «отец» начал отправлять деньги на все необх…
#творчествоподписчиков Администрация мини-отеля (г. Геленджик)
Исх. № … от … 2026 г.
В ответ на обращение гражданки Ебанаровой
Мы получили вашу претензию и вынуждены категорически с ней не согласиться. Отказ в бронировании на 2027 год является полностью обоснованным, законным и соответствует нашим Правилам проживания, с которыми вы были ознакомлены при заселении.
Позвольте восстановить реальную картину вашего по…
#нампишут Отель безосновательно отказывает в бронировании!
Отдыхала в Краснодарском крае в Геленджике в мини-отеле. Ехала на 2 недели, чтобы отдохнуть от работы и перезагрузиться после развода.
Отель сам отличный, но сразу же попался на вранье! Я спрашивала у вас спокойно? Они — да! Приехала, день через день сирены и часто ПВО, страшно!!
Вернулась, пришло предложение забронировать 2027 год дешево. Я бронирую, а мне п…
#нампишут С приятелем пошли в парк на выходных погулять попить пива и познакомиться с девушками.
Пьем познакомились и тут подходит два казака и говорят не пить в общественном месте берите все и уходите
Ну перед девушками нельзя же слабину дать и я начал на казака словесно наезжать а он достал нагайку и начал ей в воздухе свистеть и щелкать как выстрелами! Девушки очень испугались. Появился откуда то сотрудник полиции…
Калининградец решил сжечь квартиру любовника своей жены, но всё перепутал и оставил без жилья 85-летнюю старушку.
По данным «Базы», огненная вендетта в Славске пошла не по плану из-за дуплекса. 26-летний ревнивец выследил место жительства нового возлюбленного своей жены. Но он не знал, что одноэтажный деревянный дом разделён на 2 разных жилых помещения. Поэтому, когда мужчина вернулся с канистрой бензина, он стал по…
Уличный туалет украли во время турнира по лыжным гонкам в Калужской области.
Всё произошло в городе Кондрово. Михаил (имя изменено) приехал к стадиону, прошёл на территорию и почувствовал наитие — приспичило в кабину класса люкс. Внутри понял: правда люкс, и забрал её себе — увёз на крыше своего JAC.
Вскоре Михаил повстречался с полицейскими. Те рассказали, что туалет принадлежит администрации Дзержинского муниципа…
Жительница Красноярска взяла машину в кредит специально, чтобы продать ее и сыграть свадьбу. Когда банк не дает кредит на любовь — берем на Renault.
27-летняя девушка собиралась переехать к жениху в Москву и выйти замуж. Денег на торжество не хватало, поэтому будущая невеста придумала свадебную финансовую схему.
Она пришла в автосалон за Renault Arkana. В кредитной анкете указала выдуманное место работы и адрес, а …
😁203🤡51👏23❤14🥰10🍾5🐳5🔥3
Showing the 12 most recent of 40 posts we hold for @EbaChronicles. 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 2 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.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Хроники ебанариев” (@EbaChronicles), 22,138 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/EbaChronicles.
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.
