Telegram RegisterThe public register of Telegram
Telegram profile photo for английский и приколы

Channel

английский и приколы

@bartel_teaching

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

210subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002161179340
TypeChannel
Username@bartel_teaching
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live22 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/bartel_teaching

Growth

2092112107 August 2026 — 209 subscribers8 August 2026 — 209 subscribers14 August 2026 — 211 subscribers22 August 2026 — 210 subscribers7 August 202622 August 2026
4 measurements spanning 14 days, net +1. 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 209–211 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 00:46210-1
14 Aug 2026, 12:55211+2
8 Aug 2026, 11:04209no change
7 Aug 2026, 17:52209first reading

Engagement

10 posts held, back to 12 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
39.5%
avg views ÷ 210 subscribers
Avg views / post
83.0
1 post measured
Reaction rate
30.1%
reactions ÷ views · ER floor
Posts in window
1
of 10 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 1 August 2026
Posts held10 (12 March 20261 August 2026)
Views total83
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 11:04 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

306 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 33.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 536193212975835732210133.0%
custom 52446164166230780738126.5%
custom 54450769843024211466220.3%
custom 52830114700392003153812.4%
custom 5462963182333103482247.84%

Custom emoji. Every row above is a 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 10 of the 10 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 306reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 12 March 2026 to 1 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

1 Aug 2026, 15:14 UTC83 views25 reactionsread 8 August 2026
Photo

три прикольные английские фразы, которые мне попались на youtube #о_вы_из_англии попробуйте сначала прочитать примеры и угадать, что значат эти выражения🤩 🤩 it occurred to me One day, it occurred to me to buy a new car. — мне пришло на ум 🤩 take a toll on something/somebody I spent years wearing it, and it took a toll on me. (речь о Бильбо и Кольце, наверное) — нанести ущерб, негативно сказаться на чем-л. 🤩 read

custom 536193212975835732213custom 52830114700392003156custom 52446164166230780734custom 54629631823331034822

17 Jul 2026, 17:41 UTC164 views28 reactionsread 8 August 2026
Photo

а вот и разгадка! слотов правда осталось мало, так что кто первый встал, того и тапки 😎 скоро вам расскажу, как вообще идут дела в моем инглиш мире и как со мной можно поработать в ближайшее время 🤍 связь

custom 524461641662307807313custom 54450769843024211468custom 54629631823331034827

17 Jul 2026, 15:07 UTC150 views28 reactionsread 8 August 2026
Photo

просто тихонечко вернусь к вам со скрином перфоманса, который только что случился у меня на уроке есть идеи, что это?) и да, long time no see!

custom 524461641662307807314custom 528301147003920031510custom 54450769843024211464

1 May 2026, 18:46 UTC399 views35 reactionsread 8 August 2026
Video message

Video message, posted without a caption

custom 536193212975835732219custom 52830114700392003159custom 54629631823331034824custom 52446164166230780733

28 Apr 2026, 14:58 UTC436 views10 reactionsread 8 August 2026

покажу вам кружок, который записывала друзьям (смотреть со звуком если хотите услышать мою настоящую сущность.....)

custom 544507698430242114610

28 Apr 2026, 14:57 UTC396 views27 reactionsread 8 August 2026
Video message

Video message, posted without a caption

custom 544507698430242114612custom 52830114700392003156custom 53619321297583573226custom 54629631823331034823

28 Apr 2026, 13:51 UTC304 views51 reactionsread 8 August 2026
Photo

неделю назад я сделала лучшее, что могла: купила билет в Калининград, сходила на ноготочки и с них сразу поехала в аэропорт 💅🏻 мы с вами давно не общались, так что хочу показать вам, как проходит поездка (да, я всё ещё тут. решила не мелочиться и поехала на две недели, так что совмещаю прогуло4ки с работой) я оч давно хотела посетить Калининград и область, тут оказалось много любопытного дайте знать, если вам инте

custom 524461641662307807325custom 536193212975835732217custom 54450769843024211468custom 52830114700392003151

2 Apr 2026, 15:52 UTC363 views31 reactionsread 8 August 2026
Photo

настроение на контент: максимально легкое с приходом весны стало как-то приятнее жить, но извините меня, сезонные болезни в Москве это жесть. я и мой хронический тонзиллит просто покинули чат окончательно так что вот, показываю вам свои будни без лишних слов и иду отпиваться чаем а как ваши дела? надеюсь, не болеете! #оле4ка_личное

custom 536193212975835732215custom 52446164166230780739custom 52830114700392003155custom 54450769843024211462

24 Mar 2026, 13:55 UTC322 views22 reactionsread 8 August 2026
Photo

давайте поговорим про книгииии я снова вернулась к чтению! обожаю это дело, но часто возникают другие дела и на книги времени не остается, думаю многие поймут и вот пару недель назад меня посетила мысль: ХОЧУ снова читать Достоевского (а конкретно Идиота) меня эта идея безумно грела. я блин обожаю Достоевского Преступление и наказание официально одна из моих любимых книг, я была безумно впечатлена когда прочитал

custom 544507698430242114610custom 54629631823331034826custom 52446164166230780735custom 53619321297583573221

12 Mar 2026, 15:14 UTC323 views49 reactionsread 8 August 2026
Photo

как ощущается жизнь когда работаешь с двумя психологами, пьешь два антидепрессанта, постелил новое постельное, поработал и теперь кушоешь карбонару из лавки, смотришь аниме, а ЗА ОКНОМ ВЕСНА

custom 536193212975835732230custom 52446164166230780738custom 54450769843024211468custom 54629631823331034822custom 52830114700392003151

Showing the 10 most recent of 10 posts we hold for @bartel_teaching. 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 — 503,631 of 1,584,142entries 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.

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.

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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“английский и приколы” (@bartel_teaching), 210 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/bartel_teaching.

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.