3 measurements spanning 8 days, net +180. 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 180–414 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
30 Oct 2026, 15:46
387
+179
23 Oct 2026, 05:07
208
+1
22 Oct 2026, 16:22
207
first reading
Engagement
6 posts held, back to 18 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
28.4%
avg views ÷ 387 subscribers
Avg views / post
110
5 posts measured
Reaction rate
9.45%
reactions ÷ views · ER floor
Posts in window
6
of 6 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 22 October 2026
Posts held
6 (18 October 2026 – 22 October 2026)
Views total
550
Reactions total
52
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Oct 2026, 16:22 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.
Reaction mix
52 reactions across 5 posts, in 7 distinct kinds. The most used accounts for 30.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
16
30.8%
🔥
11
21.2%
❤🔥
9
17.3%
💘
9
17.3%
😁
5
9.62%
😱
1
1.92%
🤔
1
1.92%
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 5 of the 6 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 52 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 18 October 2026 to 22 October 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.
сколько сколько?! 🗣🗣🗣
если вам кажется, что московские цены уже ничем не способны удивить, у столицы припасено еще несколько сюрпризов:
1. парение на миллион — «огниво» | 1 000 000 ₽
пять часов банного блаженства для компании до шести человек. прогрев в четыре руки, дубовые веники, медовые обертывания и традиционные угощения. кажется, после такого очищается не только тело, но и банковский счет
2. миллионное предло…
свидание, на котором не придется придумывать темы для разговора 🎱
если честно, сидеть два часа друг напротив друга, обсуждать работу и в сотый раз рассказывать одни и те же истории уже немного наскучило. хочется разнообразия, желательно с долей азарта.
поэтому сегодня на повестке billie - бильярдный клуб на неглинной, где можно поиграть в американский пул или русский бильярд, выпить коктейли и вкусно поесть.
отдел…
Хорошо быть плохой pinned «Бонжур, дорогой читатель! плохому научу, хорошее покажу. места, события, покупки и находки, которыми хочется делиться 🤍 навигация по каналу: #твои_идеальные_выходные - загородные отели, красивые места, идеи для путешествий и все все все #купила_и_не_жалею…»
у студенческого обнаружились новые функции!
собрала 7 московских заведений, где за студак можно получить приятную скидку до 30%
1. ra’men - 30%
по будням с 16:00 до 18:00 действует скидка на основное меню. но скидка не распространяется на бизнес-ланчи.
2. «алёнка» - 25%
скидка при предъявлении студенческого билета. отличный повод заглянуть за кофе и десертом.
3. maestrello - 10%
4. rockets concept store - 15%
ск…
сбежать из Москвы…
можно! как раз недалеко, в Тверскую область. особенно когда хочется уехать подальше от города, выключить телефон и просто ничего не делать - советую присмотреться к Orsha River Club
уютные домики посреди соснового леса, красивая территория для долгих прогулок, река и ресторан с чудесной кухней - все это примерно в двух часах езды от Москвы.
- на территории есть открытый подогреваемый бассейн с т…
#слабость_недели
эти скрины зацепили меня так сильно 💔
1. леопардовый чехол на мак. вопросы?
2. набор парфюма от Hermes в фирменной упаковке за 8830₽
3. боже мой, этот диффузор в виде мартини с оливкой
4. стеганная куртка VILET очень стильно выглядит
5. это что за милота! Свеча в виде нового его жемчужного шарика от Sela
6. супер блендер-стакан (очень удобно звучит), чтобы делать витаминные смузи
7. уже все наверное…
❤6💘2😁2
Showing the 6 most recent of 6 posts we hold for @bebadgood. 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.
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 30 October 2026 — this
entry's latest reading, not the date you are reading this.
“Хорошо быть плохой” (@bebadgood), 387 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/bebadgood.
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.