9 measurements spanning 18 days, net -13. 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 2,193–2,218 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
24 Aug 2026, 05:45
2,202
+3
20 Aug 2026, 21:35
2,199
+3
18 Aug 2026, 07:53
2,196
-1
15 Aug 2026, 14:37
2,197
-2
11 Aug 2026, 21:03
2,199
-6
9 Aug 2026, 05:51
2,205
-9
6 Aug 2026, 09:30
2,214
-1
6 Aug 2026, 06:03
2,215
no change
6 Aug 2026, 02:08
2,215
first reading
Engagement
22 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
3.76%
avg views ÷ 2,202 subscribers
Avg views / post
82.8
6 posts measured
Reaction rate
3.82%
reactions ÷ views · ER floor
Posts in window
6
of 22 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 7 August 2026
Posts held
22 (28 June 2026 – 7 August 2026)
Views total
497
Reactions total
19
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:50 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 47s
Average length
27s
Measured directly from 4 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
66 reactions across 19 posts, in 18 distinct kinds. The most used accounts for 15.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
10
15.2%
❤
7
10.6%
🥰
6
9.09%
🤗
5
7.58%
🤝
5
7.58%
custom 5280729635519212992
4
6.06%
🎉
4
6.06%
👍
4
6.06%
👏
4
6.06%
❤🔥
3
4.55%
🆒
3
4.55%
custom 5258179403652801593
2
3.03%
custom 5285491959681527645
2
3.03%
🤩
2
3.03%
🫡
2
3.03%
custom 5460881742397186882
1
1.52%
✍
1
1.52%
😘
1
1.52%
Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 21 of the 22 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 73reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 28 June 2026 to 7 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
2,499
across the posts below
Posts paid on
12
of 22 we hold a reading for · 55%
Most on one post
1,990
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Bandalet. 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 22 most recent posts we hold for this entry, published 28 June 2026 to 7 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.
1️⃣Что произойдет с вашим доходом, если ваша сетевая компания завтра закроется?2️⃣
Честный разговор о самом липком страхе МЛМ-лидеров, о котором они боятся признаться даже себе.
Давайте сегодня поговорим об одной очень неудобной теме.
О теме, от которой у многих топ-лидеров по ночам холодеют руки и пересыхает в горле.
Обычно на презентациях МЛМ-компаний говорят о вечной стабильности и пассивном доходе на поколени…
❤️ Почему умные сетевики получают 3–4 чека в месяц, а остальные зависят только от маркетинг-плана?
Скрытая фишка монетизации, которая навсегда избавит вас от дефицита людей и денег.
Чего на самом деле хочет каждый предприниматель сетевого маркетинга?
Если отбросить красивые лозунги про «миссию компании» и заглянуть в самую суть, мы все приходили сюда за одним. Избавиться от вечного дефицита денег.
Вспомните, о че…
🥰 Эффект рычага: почему ваша команда НИКОГДА не повторит вас, если вы продолжаете продавать через созвоны?
Разбираем главный страх лидера: как запустить настоящую дупликацию в глубину и перестать быть «ломовой лошадью».
Вчера я показал вам свои цифры и рассказал, как легко получать горячие заявки через умный контент.
И я точно знаю, какая мысль промелькнула в голове у многих из вас.
«Да, у тебя получилось. Но у м…
🫶 Как бесплатно создать актив, который будет кормить вас и вашу семью всю жизнь?
Твердые цифры, факты и реальные доказательства того, как я собрал 38 000 целевых подписчиков за полгода (и почему вы тоже так сможете).
Вчера я обещал показать вам всё без купюр. Без воды, без красивых лозунгов — только голые факты.
Вы когда-нибудь задумывались, что отличает тех лидеров, которые покупают недвижимость и отдыхают на Бал…
🤎«Снимай по 3 видео в день!» — самый глупый совет наставника, который убивает ваш бизнес
Почему выгорание стало нормой в МЛМ, и как заставить людей писать вам первыми, не превращаясь в раба камеры.
Бывает ли у вас чувство, что вы бьетесь головой о бетонную стену?
Вы открываете соцсети, видите успешных лидеров и внутренне сжимаетесь от мысли: «Ну что я делаю не так?».
Вы идете к наставнику за помощью, а в ответ сл…
🤎🤎🤎 Три скрытые беды, из-за которых сетевики годами сидят без чека и выгорают
Жесткий разбор того, почему новички боятся звонить, а лидеры превращаются в ломовых лошадей для своей команды.
В последние дни я активно провожу собеседования с кандидатами в свою индивидуальную работу.
Я общался с совершенно разными людьми: от абсолютных новичков до мощных лидеров с чистой прибылью свыше 300 тысяч рублей в месяц.
И зна…
➖ Конец эпохи онлайн-курсов: почему я больше не хочу продавать вам «вебинары в записи»?
Жесткий разбор инфобизнеса и презентация нового формата МЛМ-сопровождения, в котором просто невозможно слить результат.
Давайте начистоту.
Сколько купленных онлайн-курсов мертвым грузом лежат в ваших личных кабинетах на GetCourse? Один? Три? Десять?
Вы покупаете очередное «супер-обучение по воронкам» за бешеные деньги, открыва…
🤩 Я слил 400 000 рублей на курсы по Reels и TikTok... Пока не понял, как алгоритмы работают на самом деле
Честная исповедь о том, как глупые тренды крадут у сетевиков партнеров, и как одна карусель на полмиллиона охвата изменила всё.
Признаюсь честно: мне до сих пор немного больно вспоминать этот период.
Когда социальные сети заполнили вертикальные видео, я, как и тысячи других предпринимателей, поверил в красивую…
А как сейчас обстоят дела у вас? Выберите вариант, который больше всего похож на вашу ситуацию:
«Раб контента» — снимаю Reels/TikTok каждый день, трачу часы на монтаж, но заявок почти нет.0%
«Тихий партизан» — боюсь камеры как огня, ничего не выкладываю и сижу без новых людей.23%
«Сетевик-классик» — работаю только по списку и звонкам, соцсети кажутся чем-то из области космоса.0%
«Хаотичный гений» — выкладываю что-то раз в месяц под настроение, системы и входящих нет.38%
«Хочу как у тебя!» — готов(а) один раз обучить алгоритмы и создать вечный актив.62%
The shares total 123%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
🤷♀️ Я молчал об этом последние полгода... Как получать сотни тысяч охватов, перестав снимать видео КАЖДЫЙ день?
Главный секрет создания бесплатного МЛМ-актива, о котором вам никогда не расскажет наставник.
Знаете, я долго наблюдал за тем, что происходит сейчас в сетевом маркетинге.
Смотрю на коллег, и сердце кровью обливается: одни продолжают выжигать списки знакомых и собирать отказы, другие — сутками сидят в сп…
🧐 Точка невозврата в МЛМ: почему ваше отношение ко времени определяет ваш чек в следующем месяце
Вы можете обмануть спонсора, команду и даже соцсети, создавая видимость бурной деятельности. Но вы никогда не сможете обмануть две вещи: свой банковский счет и время.
Давайте сегодня поговорим откровенно и немного по-философски. Без дежурных лозунгов об «успешном успехе».
Каждый день в сетевом бизнесе вы совершаете оди…
❤🔥1🔥1🥰1
Showing the 12 most recent of 22 posts we hold for @Bandalet. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
А как сейчас обстоят дела у вас? Выберите вариант, который больше всего похож на вашу ситуацию:
«Раб контента» — снимаю Reels/TikTok каждый день, трачу часы на монтаж, но заявок почти нет.0%
«Тихий партизан» — боюсь камеры как огня, ничего не выкладываю и сижу без новых людей.23%
«Сетевик-классик» — работаю только по списку и звонкам, соцсети кажутся чем-то из области космоса.0%
«Хаотичный гений» — выкладываю что-то раз в месяц под настроение, системы и входящих нет.38%
«Хочу как у тебя!» — готов(а) один раз обучить алгоритмы и создать вечный актив.62%
The shares total 123%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 22 most recent posts we hold, published 28 June 2026 to 7 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 591,890 of 1,604,598entries 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
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.
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.
Мир нейросетей - новости, обучение и заработок @pro_ai_novosti · 50,379 Telegram ranks this channel #47 of 90 here — alongside 89 others — read 25 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 24 August 2026 — this
entry's latest reading, not the date you are reading this.
“Бандалет | Привлекательный маркетинг в МЛМ” (@Bandalet), 2,202 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/Bandalet.
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.