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Channel

RAD SAID WHAT?!

@rad_not_bad

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

23,167subscribers

-4,864 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001375653292
TypeChannel
Username@rad_not_bad
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 October 2026
Measurements held49
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/rad_not_bad

Topic

Ecommerce storefront — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

23,16728,64925,9087 August 2026 — 28,031 subscribers7 August 2026 — 28,031 subscribers7 August 2026 — 27,865 subscribers8 August 2026 — 28,649 subscribers9 August 2026 — 28,496 subscribers10 August 2026 — 28,320 subscribers11 August 2026 — 28,165 subscribers12 August 2026 — 28,069 subscribers14 August 2026 — 27,985 subscribers15 August 2026 — 27,879 subscribers16 August 2026 — 27,553 subscribers17 August 2026 — 27,388 subscribers18 August 2026 — 27,369 subscribers19 August 2026 — 27,298 subscribers20 August 2026 — 27,219 subscribers22 August 2026 — 27,154 subscribers23 August 2026 — 27,112 subscribers25 August 2026 — 27,056 subscribers26 August 2026 — 27,029 subscribers27 August 2026 — 26,956 subscribers28 August 2026 — 26,926 subscribers28 August 2026 — 26,873 subscribers29 August 2026 — 26,841 subscribers30 August 2026 — 26,810 subscribers1 September 2026 — 26,763 subscribers1 September 2026 — 26,725 subscribers2 September 2026 — 26,691 subscribers4 September 2026 — 26,648 subscribers7 September 2026 — 26,530 subscribers10 September 2026 — 26,431 subscribers12 September 2026 — 26,364 subscribers14 September 2026 — 26,233 subscribers15 September 2026 — 26,163 subscribers18 September 2026 — 26,083 subscribers1 October 2026 — 25,721 subscribers6 October 2026 — 25,037 subscribers10 October 2026 — 23,599 subscribers13 October 2026 — 23,505 subscribers15 October 2026 — 23,446 subscribers16 October 2026 — 23,411 subscribers17 October 2026 — 23,377 subscribers18 October 2026 — 23,365 subscribers19 October 2026 — 23,339 subscribers20 October 2026 — 23,304 subscribers21 October 2026 — 23,290 subscribers22 October 2026 — 23,263 subscribers23 October 2026 — 23,233 subscribers24 October 2026 — 23,207 subscribers25 October 2026 — 23,167 subscribers7 August 202625 October 2026
49 measurements spanning 79 days, net -4,864. 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 22,345–29,471 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)SubscribersChange
25 Oct 2026, 07:0123,167-40
24 Oct 2026, 10:0423,207-26
23 Oct 2026, 12:2723,233-30
22 Oct 2026, 10:1523,263-27
21 Oct 2026, 05:4923,290-14
20 Oct 2026, 03:2823,304-35
19 Oct 2026, 05:1823,339-26
18 Oct 2026, 03:2123,365-12
17 Oct 2026, 06:5523,377-34
16 Oct 2026, 05:3823,411-35
15 Oct 2026, 02:0623,446-59
13 Oct 2026, 21:0523,505-94
10 Oct 2026, 12:5523,599-1,438
6 Oct 2026, 10:4125,037-684
1 Oct 2026, 06:2025,721-362
18 Sept 2026, 05:4026,083-80
15 Sept 2026, 21:3826,163-70
14 Sept 2026, 05:1826,233-131
12 Sept 2026, 12:3826,364-67
10 Sept 2026, 09:5726,431first reading

Engagement

65 posts held, back to 27 July 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 100 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.74%
avg views ÷ 23,167 subscribers
Avg views / post
1,560
22 posts measured
Reaction rate
2.91%
reactions ÷ views · ER floor
Posts in window
22
of 65 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 23 October 2026
Posts held65 (27 July 2026 – 23 October 2026)
Views total34,356
Reactions total1,000
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 00:37 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
6m 10s
Average length
28s

Measured directly from 13 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

4,728 reactions across 64 posts, in 16 distinct kinds. The most used accounts for 50.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,38650.5%
🍓52811.2%
💋3467.32%
❤‍🔥3347.06%
💘3236.83%
🐳2655.60%
🔥1503.17%
👍1332.81%
🥰992.09%
🦄791.67%
🍾220.465%
💅210.444%
👾160.338%
👏100.212%
😁80.169%
😱80.169%

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 64 of the 65 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 4,728 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 65 most recent posts we hold, published 27 July 2026 to 23 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.

Recent posts

22 Oct 2026, 16:36 UTC831 views42 reactionsread 24 October 2026
Photo

Скорость ей к лицу. Цвет — тоже. В сегодняшнем заезде всё сложилось: 009 оттенок муссовой помады RAD, ветер в лицо и дорога, полная приключений. Помада доступна в 10 оттенках. Меняй направление, сохраняя собственный почерк.

💋24❤16💘2

21 Oct 2026, 16:10 UTC≈1,080 views39 reactionsread 24 October 2026
Photo

Новинка, с которой кожа почувствует разницу: рисовый тонер You’re Lucky It’s Hydrating Rice Toner. Внутри — рисовый экстракт. Он увлажняет, насыщает, возвращает коже упругость и мягкое сияние. Текстура густая и питательная: обволакивает кожу и тает на ней, как самый нежный молочный пудинг. Сухость, раздражение и тусклость на десерт не останутся. Как использовать: утром и вечером на очищенную кожу, перед кремом или …

❤29💋7❤‍🔥3

19 Oct 2026, 16:45 UTC≈1,310 views46 reactionsread 24 October 2026

⠀ ❤️❤️❤️ Чтобы все знали, ❤️❤️❤️❤️ что эта чашечка ❤️❤️❤️❤️ кофе — твоя ❤️❤️❤️❤️ ❤️ ❤️❤️❤️❤️Для самых ❤️❤️❤️ громких ❤️❤️❤️❤️взглядов ❤️❤️❤️❤️ ❤️❤️ Чтобы ❤️❤️ кожа ❤️❤️ всегда ❤️❤️ сияла ⠀

❤41💋3💘2

16 Oct 2026, 16:25 UTC≈1,760 views50 reactionsread 24 October 2026

Posted without readable text

❤31❤‍🔥19

15 Oct 2026, 15:55 UTC≈1,440 views35 reactionsread 24 October 2026
Photo

Новинка — увлажняющий крем-гель для лица с экстрактом риса! 🍚 Воздушный крем-гель для нормальной, сухой и обезвоженной кожи. Текстура мягко распределяется, быстро впитывается и делает ежедневный уход чуть приятнее (как рисовые хлопья на завтрак). Экстракт риса глубоко увлажняет, питает, помогает выровнять тон и добавляет коже лёгкое сияние. Когда хочется выглядеть свежо вне зависимости от того, насколько насыщенным…

❤26💘9

14 Oct 2026, 16:46 UTC≈1,430 views52 reactionsread 24 October 2026
Photo

Позарились на этот бронзер, но коту тоже захотелось деликатного сияния. Скорее хватай — тебе он подойдёт больше. p.s. будь осторожнее рядом с котиками, они те ещё любители всего, что светится...

❤32🦄13👾7

13 Oct 2026, 17:15 UTC≈1,570 views40 reactionsread 24 October 2026
Photo

Дарим базу под тени для век 🩷 Напоминаем, что до 15 октября при оффлайн-покупке продуктов RAD от 800 рублей / 35 BYN / 5500 теңгеге дарим базу под тени для век! 📌Акция действует только оффлайн в магазинах сети «Золотое Яблоко». 📌Количество подарков ограничено. 📌В одном чеке можно получить только один подарок.

💘23❤17

13 Oct 2026, 15:11 UTC≈1,600 views37 reactionsread 24 October 2026
Photo

Новинка — питательный крем с ниацинамидом! У него такая воздушная текстура, что хочется зачерпнуть её ложкой и намазать на утренний тост. Но оставим тосту масло, а крем — нормальной, сухой и комбинированной коже. Ниацинамид в составе регулирует выработку себума, уменьшает покраснения, укрепляет защитный барьер и выравнивает тон. Такой многозадачности можно только позавидовать. Упаковка защищает формулу от контакта…

❤28❤‍🔥5💘4

12 Oct 2026, 15:04 UTC≈1,570 views56 reactionsread 24 October 2026
Photo

Наткнулись на эти фото Зендеи и не смогли пройти мимо. Не можем это доказать, но Зендея точно использовала наши муссовые румяна для лица

❤35💋21

10 Oct 2026, 09:25 UTC≈1,600 views54 reactionsread 24 October 2026
Photo

Я просто таю от тебя… И кажется, это взаимно🩷

💋27❤24❤‍🔥3

9 Oct 2026, 13:12 UTC≈1,760 views56 reactionsread 24 October 2026
Photo

Новинка! Скраб-уход для губ Future Lip Scrub 💋 Заглянули в твоё будущее: в этом видении у тебя самые мягкие губы и наша новинка. Как думаешь, это связано? Future Lip Scrub глубоко увлажняет, успокаивает и деликатно отшелушивает кожу губ с помощью тающих гранул и силиконовых щетинок на аппликаторе. Лёгкий аромат белого чая делает уход ещё приятнее. Нанеси скраб на губы, помассируй до растворения гранул — и всё, дал…

💋22❤17💘11🍓5❤‍🔥1

Showing the 12 most recent of 65 posts we hold for @rad_not_bad. 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.

Posts edited after publishing

@rad_not_bad edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
11 August 2026
Most recent edit
11 August 2026

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 3 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Hi, Darling
@hidarling_ru · 27,136
#1
Пространство okolo
@okolo_you · 11,926
#2
БАНКИ & ТЮБИКИ
@bankiitubiki · 20,486
#3
BEAUTY HUB
@immelybeauty · 22,959
#4
FOR ME
@forme · 136,886
#5
ВПШ
@pravdadirty · 1,393,982
#6
FLACON MAGAZINE
@flacon_mag · 49,827
#7
NE BLEDNAYA
@neblednaya_bygevmua · 5,749
#8
Clapp Snap!
@KateClappTelegram · 171,474
#9
RedAutumn
@olyaredautumn · 107,356
#10
ГЕВ МУА
@gevmua · 13,842
#11
СЕРГЕЙ НАУМОВ
@naumita · 59,179
#12
AnastasiaWater
@anastasiawater · 11,811
#13
Influence Beauty Era
@influencebeautyrussia · 16,364
#14
Саша и мейкуп
@mvkeup · 614
#15
annyawell
@annyawell_gg · 64,518
#16
🌷 Феммистокл 🌷
@maria_pochenyk · 551
#17
бьюти нефильтрованное
@pray4barbiee · 10,801
#18
Я не понимаю это смешно или уже нет!!
@sashaonline · 86,268
#19
Душевный дневник Ксю 📖🩶
@kseniaspasdiary08 · 18,137
#20
🫧 LoliChrome 🫧
@loli_cosmetics · 1,511
#21
Golden Chihuahua
@goldchihuahua · 91,414
#22
очень много косметики
@myatnayajvachka · 26,012
#23
Бьюти-телеграммы
@beauty_goldman · 21,774
#24
Marina Luxious
@marinaluxious · 35,444
#25
Подслушано Бьюти Бомб
@beautybomb · 51,560
#26
Привет, Это Я МАША✌️😃 / Masha Zoom / Маша Зум
@itsmashazoom · 133,261
#27
Экстрапривереда Дарси
@extraprivereda · 1,591
#28
крис про сияние
@krisbeautynews · 53,798
#29
1001 маска
@maska1001 · 21,228
#30
Косметичка Пидлиток
@PidlitokMakeup · 3,896
#31
Regina's treasury 💄🎬 о косметике, ароматах и кино
@reginastreasury · 3,354
#32
LIFEWITHANYA
@LIFEWITHANYA · 37,152
#33
Таня Красиво
@tanyakrasivo · 1,666
#34
CHA U KAO | ША У КАО 🎪
@chaukao · 7,972
#35
бьюти-секта
@persamua · 1,884
#36
много и увлечённо говорю
@pewwganoacid · 1,618
#37
Revolution Beauty London
@revolutionbeautyrussia · 10,587
#38
Безнадёжная Комета вещает
@cometofhopelessness · 1,414
#39
BLACK MORION
@blackmorion · 28,813
#40
очень приятно,Алина🤍
@alinaatatik · 15,408
#41
Бьютицыганка 💅🏼
@beautygypsy · 2,710
#42
Эмпатичный тренер Леся
@lesiiiks_tg · 2,556
#43
Пополняю косметички
@olyssblog · 26,821
#44
Vivienne Sabó
@vivienne_sabo · 30,199
#45
Банки-склянки
@bankiskyanki · 99,012
#46
неиронично в поисках сияния ✨
@ne_ironi4no · 396
#47
Potato _beauty_
@potato_makeup · 1,744
#48
ПРОСТО БЬЮТИ
@prostobeauty_olya · 864
#49
Здрасте, я Настя!
@mmaattkkaa · 6,845
#50
SHIKstudio
@shikcosmetics · 52,764
#51
Бьюти суета
@klavagolman · 51,234
#52
juli kabakova
@julikabakovaa · 4,559
#53
Москвач • Новости Москвы
@moscowach · 3,948,110
#54
rutkismary
@rutkismary · 330,313
#55
MUR
@fashion_mur · 206,346
#56
Афиша Daily
@afishadaily · 70,813
#57
don't touch my face
@donttouchmyface · 54,835
#58
как стать девочкой-волшебницей
@postmodernsoldier · 29,373
#59
Снежочек в мире макияжа
@snezhochek_beauty · 412
#60
Rina Grossman mua 🌝
@visper_rina_mua · 1,712
#61

Read from Telegram’s recommendation API, most recently 12 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Hi, Darling
@hidarling_ru · 27,136
Telegram ranks this channel #1 of 59 here — alongside 58 others — read 9 September 2026
✨КСЮШИНЫ ИСТОРИИ✨
@tinycrazy · 40,934
Telegram ranks this channel #4 of 60 here — alongside 59 others — read 29 August 2026
FOR ME
@forme · 136,886
Telegram ranks this channel #22 of 55 here — alongside 54 others — read 14 August 2026
Stellary
@stellary_cosmetics · 16,454
Telegram ranks this channel #32 of 59 here — alongside 58 others — read 5 October 2026
SHIKstudio
@shikcosmetics · 52,764
Telegram ranks this channel #44 of 49 here — alongside 48 others — read 9 September 2026
FLACON MAGAZINE
@flacon_mag · 49,827
Telegram ranks this channel #54 of 85 here — alongside 84 others — read 27 August 2026

This channel appears in 6 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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“RAD SAID WHAT?!” (@rad_not_bad), 23,167 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/rad_not_bad.

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.