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Channel

Эффект баночки

@effectbanochki

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

9,098subscribers

+0 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-1001360888719
TypeChannel
Username@effectbanochki
Created23 February 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live1 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/effectbanochki

Growth

9,0669,1029,0846 August 2026 — 9,098 subscribers7 August 2026 — 9,095 subscribers10 August 2026 — 9,089 subscribers12 August 2026 — 9,084 subscribers16 August 2026 — 9,072 subscribers19 August 2026 — 9,066 subscribers23 August 2026 — 9,071 subscribers26 August 2026 — 9,067 subscribers29 August 2026 — 9,102 subscribers1 September 2026 — 9,098 subscribers9,0986 August 20261 September 2026
10 measurements spanning 26 days. 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 9,061–9,107 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 05:439,098-4
29 Aug 2026, 15:119,102+35
26 Aug 2026, 14:179,067-4
23 Aug 2026, 17:449,071+5
19 Aug 2026, 22:429,066-6
16 Aug 2026, 16:159,072-12
12 Aug 2026, 20:289,084-5
10 Aug 2026, 04:139,089-6
7 Aug 2026, 05:209,095-3
6 Aug 2026, 07:019,098first reading

Engagement

24 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 31 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
36.9%
avg views ÷ 9,098 subscribers
Avg views / post
3,350
23 posts measured
Reaction rate
2.48%
reactions ÷ views · ER floor
Posts in window
23
of 24 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 28 August 2026
Posts held24 (3 August 202628 August 2026)
Views total77,130
Reactions total1,913
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 15:29 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 33s
Average length
47s

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

1,950 reactions across 24 posts, in 17 distinct kinds. The most used accounts for 55.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,07455.1%
🔥27914.3%
🤣27414.1%
❤‍🔥1115.69%
💔1065.44%
💯311.59%
😁291.49%
💋90.462%
😍90.462%
🥰80.41%
🤡60.308%
🌚50.256%
🤩40.205%
👍20.103%
🌭10.051%
👎10.051%
👏10.051%

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 24 of the 24 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 1,950 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 3 August 2026 to 28 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.

Recent posts

28 Aug 2026, 11:21 UTC≈1,820 views68 reactionsread 28 August 2026
Photo

Ну что же, на связи пестроциан, найдем друг друга👩‍⚕️ Мы, если что, смотрим Басманный и окрестности, Символ.

55😁12👎1

28 Aug 2026, 08:56 UTC≈2,250 views134 reactionsread 28 August 2026

Немного выпадаю из жизни, потому что последние месяцы наша «семья под ключ» занимается поиском квартиры. Последний раз я арендовала квартиру в Штатах и как будто бы там это было сделать проще, чем здесь в Москвe - приходишь в понравившийся билдинг, тебя посылают нахер, потому что у тебя нет ssn, едешь к армянам в Глендейл, быстро все подписываешь, потому что им все равно на твою кредитную историю и все остальное. И н

💔9834🌭1😁1

21 Aug 2026, 12:47 UTC≈4,070 views41 reactionsread 28 August 2026
Photo

В запретнограме часто спрашивают про план тренировок, так вот его нет. Возможно, имея план, мой результат был бы еще более ярко выраженным, но у меня нет цели быть в кубиках и прорисованных мышцах, так что я просто хожу на групповую штангу два-три раза в неделю и два сайкла. И да, все же многое решает питание - я убрала вообще все перекусы - три приема еды, но чаще два. А самый лучший спортзал для лица, не выходя из

39🤩2

21 Aug 2026, 09:11 UTC≈8,940 views78 reactionsread 28 August 2026
Photo

Не спрашивайте, сколько у меня спортивной одежды, я уже давно перестала считать. Пополнила свой гардероб новинками от MAAG, они дропнули капсулу для активных девчуль в стиле athleisure, в которой можно и тренироваться, и носить в обычной жизни - спортивные комбинезоны с открытой спиной, топы с запахом, легинсы и топы с фигурным вырезом и двухслойные шорты. Себе взяла шорты (они отличные!), топ и куртку на прохладную

🔥4624💔8

20 Aug 2026, 09:52 UTC≈3,280 views45 reactionsread 28 August 2026
Photo

Вам так понравился этот лучок, что не могу не поделиться новостью - SELFMADE запустили приложение. Там удобная навигация, история покупок, ранний доступ к новинкам и распродажам и еще сейчас дают 1000 приветственных бонусов на шопинг😊

45

19 Aug 2026, 14:15 UTC≈3,330 views238 reactionsread 28 August 2026
Photo

Помыла котика.

🤣179❤‍🔥4114😁4

18 Aug 2026, 12:08 UTC≈3,720 views36 reactionsread 28 August 2026
Photo

Маммис, если вы находитесь в поиске новой школы, или же только готовитесь вступить в ряды родителей первоклассников, и вам интересно посмотреть разные варианты, частная школа ONE! International School приглашает вас на день открытых дверей уже на следующей неделе. ONE! International School - одна из лучших частных школ по версии Forbes Education и является победителем Национальной премии негосударственного образован

30🔥4👍2

17 Aug 2026, 12:33 UTC≈3,520 views60 reactionsread 28 August 2026

Девочки, расскажите про Алтай! Какой отель лучше выбрать? Мирамирам, Манжерок, Грушевый цвет - кто-то был?

60

17 Aug 2026, 12:02 UTC≈3,630 views39 reactionsread 28 August 2026
Photo

Обожаю подсматривать за стилизациями DAISYKNIT, вроде бы просто, но выглядит всегда стильно и роскошно. Вдохновляюсь сочетанием текстур и цветов, осенняя коллекция получилась ну очень красивая - хочу теперь красные джинсы, а баррель уже заказала. Моя подборка была недавно (там последние два дня моего промика, just in case)

39

17 Aug 2026, 07:44 UTC≈3,430 views129 reactionsread 27 August 2026
Photo

Ваш админ вчера постарел окончательно дегустировал скандинавскую ходьбу. Девочки, это оказалось обманом! Когда наша команда более прошаренных палочников двинулась в лес по бездорожью и корягам 6км в темпе 12, я подумывала выплюнуть легкие куда-нибудь в куст. Сейчас у меня болят руки и лопатки. Что, конечно, не будет оправданием пропустить штангу😅

98🔥31

15 Aug 2026, 17:59 UTC≈3,520 views112 reactionsread 21 August 2026

После вчерашнего Медового Спаса у нас весь двор в липких следах. Особенно этому рады муравьи и другие букашки.

🤣9514😁3

14 Aug 2026, 22:00 UTC≈3,570 views127 reactionsread 20 August 2026
Photo

Девочки, это что, кризис среднего возраста или «природа очистилась»? Я решила вернуться к парфюму, которым пользовалась в 2005 - хочу L’Instant de Guerlain и Narciso Rodriguez for her. Еще Santal33, но это, конечно, свежачок по временным меркам. А у вас какие любимцы, проверенные временем?

80🔥33😁9❤‍🔥5

Showing the 12 most recent of 24 posts we hold for @effectbanochki. 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.

Citation-graph rank

Citation-graph rank — 449,148 of 1,630,085 entries 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.

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

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.

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.

Пушкина Натали
@pushkinanatalie · 69,421
Telegram ranks this channel #27 of 82 here — alongside 81 others — read 25 August 2026
Ирена Понарошку
@irena_ponaroshku · 283,287
Telegram ranks this channel #74 of 88 here — alongside 87 others — read 10 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 1 September 2026 — this entry's latest reading, not the date you are reading this.

“Эффект баночки” (@effectbanochki), 9,098 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/effectbanochki.

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.