Telegram RegisterThe public register of Telegram
Telegram profile photo for beardavto

Channel

beardavto

@beardavto11

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

211,125subscribers

+38,768 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001553376043
TypeChannel
Username@beardavto11
DescriptionBeardavto г. Москва — выкупаем и продаем автомобили по низу рынка 24/7✅ MAX — https://max.ru/join/N_Qoa4kx4_CSO5HXDD5pfsNg2P8bZ6hz1dhB9bJAT0Y VK — https://vk.ru/club236649988 TG — https://t.me/+NtYPKyueHJ1lYjRi ✍️По всем вопросам — @beardavto
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/beardavto11

Topic

Automotive — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 76% 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

172,357226,279199,3187 August 2026 — 172,357 subscribers7 August 2026 — 172,857 subscribers8 August 2026 — 175,686 subscribers9 August 2026 — 180,935 subscribers10 August 2026 — 183,187 subscribers12 August 2026 — 183,908 subscribers13 August 2026 — 183,974 subscribers14 August 2026 — 184,521 subscribers16 August 2026 — 185,028 subscribers17 August 2026 — 185,443 subscribers18 August 2026 — 185,512 subscribers19 August 2026 — 185,167 subscribers20 August 2026 — 186,057 subscribers21 August 2026 — 186,171 subscribers22 August 2026 — 186,317 subscribers24 August 2026 — 190,049 subscribers25 August 2026 — 191,371 subscribers26 August 2026 — 192,644 subscribers27 August 2026 — 195,078 subscribers28 August 2026 — 196,906 subscribers29 August 2026 — 197,828 subscribers30 August 2026 — 198,504 subscribers31 August 2026 — 199,723 subscribers1 September 2026 — 200,421 subscribers2 September 2026 — 204,876 subscribers3 September 2026 — 226,279 subscribers5 September 2026 — 220,246 subscribers9 September 2026 — 217,983 subscribers11 September 2026 — 213,860 subscribers13 September 2026 — 213,005 subscribers15 September 2026 — 212,197 subscribers17 September 2026 — 211,125 subscribers211,1257 August 202617 September 2026
32 measurements spanning 41 days, net +38,768. 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 164,269–234,367 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 06:16211,125-1,072
15 Sept 2026, 05:41212,197-808
13 Sept 2026, 11:36213,005-855
11 Sept 2026, 16:21213,860-4,123
9 Sept 2026, 05:17217,983-2,263
5 Sept 2026, 23:20220,246-6,033
3 Sept 2026, 19:17226,279+21,403
2 Sept 2026, 09:44204,876+4,455
1 Sept 2026, 11:08200,421+698
31 Aug 2026, 10:45199,723+1,219
30 Aug 2026, 11:13198,504+676
29 Aug 2026, 13:14197,828+922
28 Aug 2026, 11:34196,906+1,828
27 Aug 2026, 09:04195,078+2,434
26 Aug 2026, 07:42192,644+1,273
25 Aug 2026, 05:43191,371+1,322
24 Aug 2026, 02:39190,049+3,732
22 Aug 2026, 12:37186,317+146
21 Aug 2026, 05:34186,171+114
20 Aug 2026, 07:34186,057first reading

Engagement

164 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 94 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.34%
avg views ÷ 211,125 subscribers
Avg views / post
11,300
94 posts measured
Reaction rate
0.971%
reactions ÷ views · ER floor
Posts in window
95
of 164 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. It is computed over the 89 of 94 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 20 September 2026
Posts held164 (29 July 202620 September 2026)
Views total1,059,416
Reactions total9,918
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 08:09 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

Photos
18,000
Videos
5,580
Links
2,020

Lifetime counters from Telegram’s own channel header, read 20 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
43m 55s
Average length
42s

Measured directly from 63 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

16,413 reactions across 154 posts, in 48 distinct kinds. The most used accounts for 37.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6,19937.8%
4,17025.4%
👍2,70716.5%
❤‍🔥5583.40%
👏4442.71%
2101.28%
💯1811.10%
🙏1600.975%
🫡1360.829%
🤝1330.81%
🍾1260.768%
🤔1140.695%
🥴1060.646%
🥱950.579%
🌚880.536%
🤨880.536%
👀860.524%
👌770.469%
🗿710.433%
🕊590.359%
28 further kinds6053.69%

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 156 of the 164 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 16,413 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 164 most recent posts we hold, published 29 July 2026 to 20 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
209
across the posts below
Posts paid on
45
of 163 we hold a reading for · 28%
Most on one post
31
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @beardavto11. 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 164 most recent posts we hold for this entry, published 29 July 2026 to 20 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.

Recent posts

20 Sept 2026, 07:59 UTC436 views18 reactionsread 20 September 2026
Video

Забери её 🔥 Всё, что нужно — нажать кнопку «Участвую» в закреплённом сообщении. Удачи каждому 🤝

🔥9❤‍🔥54

19 Sept 2026, 14:44 UTC≈4,280 views17 reactionsread 20 September 2026

ПОД ЗАДАТКОМ✅

🔥9🤝3😢3🤔2

19 Sept 2026, 14:17 UTC≈4,730 views18 reactionsread 20 September 2026
Photo

🔥 В продаже Toyota Corolla Rumion 2012 года с двигателем 1.5 на автомате. ✅ 2 владельца — по факту машина была в одной семье ✅ Технически в идеальном состоянии ✅ По кузову есть мелкие возрастные моменты ✅ Родной пробег — 222 000 км, по базе отображается меньше ✅ Юридически чистая 💰 Цена — 460 000 ₽, БЕЗ ТОРГА. 📞 Звони, бронируй и забирай! ☎️ 8 919 999-74-74 https://autoteka.ru/report/web/uuid/5a030877-0451-4410-b

❤‍🔥7🥴6👍31👏1

19 Sept 2026, 14:15 UTC≈4,330 views16 reactionsread 20 September 2026
Video

Video, posted without a caption

8👍5👏1🕊1🥴1

19 Sept 2026, 12:15 UTC≈4,990 views24 reactionsread 20 September 2026
Photo

Сейчас будет в продаже✅

🔥125❤‍🔥5🤩2

18 Sept 2026, 11:53 UTC≈7,360 views139 reactions3 Starsread 20 September 2026
Photo

E63S за подписку 💪 Жми кнопку «Участвую» в закреплённом сообщении!

🔥69👏39🏆9🤩6👀5🥴54🤝2

17 Sept 2026, 16:22 UTC≈9,970 views167 reactions1 Starread 20 September 2026

🔥 Всё просто: подпишитесь на все указанные каналы и нажмите кнопку «Участвуй» 👆 🎉 Готово — вы в деле!

74🔥46🎉25💊7🏆6🌚4👏4🥴1

17 Sept 2026, 15:39 UTC≈12,400 views255 reactions2 Starsread 20 September 2026
Photo

🔥 Наша акция с E63S началась! Условия максимально простые: подпишитесь на все аккаунты, указанные ниже: 1. Beardavto 2. Elnur Team 3. By Elnur | Мебель на заказ 4. Eltun Cars | Авто 5. Саня GoodPrice 6. Nikitakrivolapov 7. Trif_auto 8. Easy Cars Aвто ниже рынка 9. Auto_King Game 10. Start Avto 11. Онли Фарт Стикермания Нажмите кнопку «Участвую» ✅ Уже через 12 дней в прямом эфире мы выберем ТРОИХ участников. Да, и

122🔥64👏22🥱16🥴10🙏8🦄5👀3

17 Sept 2026, 12:01 UTC≈9,180 views382 reactions31 Starsread 20 September 2026
Video

Ждите пост внизу 👇

🔥25851👍36🏆10🍾65👀4👌4

17 Sept 2026, 10:48 UTC≈8,620 views47 reactions1 Starread 20 September 2026
Video message

Video message, posted without a caption

🔥28🤝7🙏7🥰4👌1

16 Sept 2026, 16:45 UTC≈8,750 views6 reactionsread 20 September 2026
Video message

Video message, posted without a caption

6

Showing the 12 most recent of 164 posts we hold for @beardavto11. 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.

Posts edited after publishing

@beardavto11 edited 3 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
8 August 2026
Most recent edit
29 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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“beardavto” (@beardavto11), 211,125 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/beardavto11.

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.