Telegram RegisterThe public register of Telegram

Channel

Tabera Coffee

@tabera_coffee

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

2,716subscribers

+64 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001777097664
TypeChannel
Username@tabera_coffee
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/tabera_coffee

Growth

2,6442,7162,6806 August 2026 — 2,652 subscribers6 August 2026 — 2,652 subscribers7 August 2026 — 2,651 subscribers10 August 2026 — 2,644 subscribers13 August 2026 — 2,716 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +64. 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 2,633–2,727 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 03:042,716+72
10 Aug 2026, 00:292,644-7
7 Aug 2026, 06:102,651-1
6 Aug 2026, 11:072,652no change
6 Aug 2026, 10:452,652first reading

Engagement

10 posts held, back to 17 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
49.8%
avg views ÷ 2,716 subscribers
Avg views / post
1,350
9 posts measured
Reaction rate
2.51%
reactions ÷ views · ER floor
Posts in window
10
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 7 August 2026
Posts held10 (17 July 20267 August 2026)
Views total12,165
Reactions total305
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:18 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
26s
Average length
26s

Measured directly from 1 video 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

305 reactions across 9 posts, in 10 distinct kinds. The most used accounts for 32.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10032.8%
🔥9832.1%
👍3611.8%
🥰196.23%
👏175.57%
❤‍🔥144.59%
🍾103.28%
😁82.62%
👎20.656%
💯10.328%

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 9 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 305reactions 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 17 July 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.

Recent posts

7 Aug 2026, 12:27 UTC189 views18 reactionsread 7 August 2026
Photo

Ассоциативное научение: что вытворяет с нами кофейный аромат Дыхание выравнивается, пульс замедляется, расслабляется шея, опускаются плечи, а мысли перестают роиться в голове — вот что происходит с нами, любителями кофе, как только мы слышим его чарующий аромат. Это не магия и не самообман, а процесс ассоциативного научения, исследованию которого ученые посвятили уже не одно десятилетие. Как это работает? Наш моз

👍9❤‍🔥54

4 Aug 2026, 08:11 UTC547 views23 reactionsread 7 August 2026
Photo

Давно хотели попробовать качественную робусту, но ждали самого подходящего момента? Вот и он! Первоклассный бразильский конилон* понравится тем, кто отдает предпочтение бархатистым ореховым нотам, обожает нутеллу и совсем не любит кислинку. Свежеобжаренный кофе Бразилия Конилон Витория идеален для приготовления в эспрессо-машине, турке, гейзерной или капельной кофеварке, а также во френч-прессе. Классно сочетается

👍10🔥85

30 Jul 2026, 14:23 UTC722 views24 reactionsread 7 August 2026
Photo

Жизнь без кофеина — осознанный подход или дань моде? Что бы это ни было — спрос на декаф меняется: безкофеиновое зерно перестает быть просто альтернативой «настоящему», а становится самостоятельным продуктом, который выбирают. Какие прогнозы? Сегодня декаф — это скромные 3,5% от мирового кофейного рынка, но по оценкам аналитиков этот сегмент будет прирастать на 9,5% ежегодно — вдвое быстрее, чем рынок обычного коф

13👍6👏4🔥1

30 Jul 2026, 12:00 UTC≈1,200 views31 reactionsread 7 August 2026

🎉 Результаты розыгрыша: 🏆 Победители: 1. Отаку (@otakutitanov) 2. кира (@koachan) 3. ~Лаваш (@lawash02) 4. Daria (@squirrelse) 5. Шурик (@muzhina36) До 3 августа мы свяжемся с победителями для передачи призов 🎁 ✔️Проверить результаты

🔥13🍾108

28 Jul 2026, 16:42 UTC775 views31 reactionsread 7 August 2026
Photo

Ничто не объединяет лучше, чем общие мемы, согласны? Юмор — мощный культурный код, а если шутят еще и про кофе, то это точно — для своих♥️ Листайте картинки и присылайте свои в комментариях — будем улыбаться, понимать друг друга с полуслова, хихикать и убеждаться, что кофейное комьюнити — самое самоироничное!

15😁8🔥7💯1

24 Jul 2026, 10:25 UTC≈1,160 views30 reactionsread 7 August 2026
Video

Выучим движения сиртаки или запишемся на курсы итальянского? Выбор не из простых, согласны. Решение лучше принять за чашечкой изумительного Эспрессо Фредо, с нас история и рецепт😉 Эспрессо Фредо появился в Греции в конце XX века, соединив в себе средиземноморский климат и растущую популярность кофейной культуры. Традиционный итальянский эспрессо в знойные дни казался грекам слишком горячим,поэтому местные бариста

14🔥12❤‍🔥4

23 Jul 2026, 12:00 UTC≈5,660 views94 reactionsread 7 August 2026
Photo

Не упустите шанс на победу 🔥 Помните про наше сотрудничество с Федерацией регби России? Переходим к результативным действиям – принимаем пас от партнеров и выходим в атаку с розыгрышем. Включайтесь в игру, ведь мы подготовили призы, где объединяются энергия регби и заряд бодрости: 🥇1 место: • Пачка кофе «Прорыв» (200 г); • Сертификат Tabera на 2000 руб.; • Эксклюзивный шоппер «Регби Ретро» (синий). 🥈2-3 место: •

🔥3823🥰17👏13👎2👍1

20 Jul 2026, 13:21 UTC998 views27 reactionsread 7 August 2026
Photo

Ожидание и реальность: как ощущаются кофейные дескрипторы «Ноты черной смородины, молочного шоколада и карамели». Звучит красиво, но как это ощущается в чашке? В карточках популярные кофейные дескрипторы, чтобы без сложных дегустаций понять, каким кофе получится в итоге. Что еще важно? Дескрипторы — это не точная инструкция, а приглашение к собственному гастрономическому исследованию. Ощущение вкуса зависит от спо

🔥1110❤‍🔥5👍1

17 Jul 2026, 10:42 UTC914 views27 reactionsread 6 August 2026
Photo

Гватемала Уэуэтенанго: кофе с высокогорным характером Если хотите найти место, где воздух прозрачен, а кофейные деревья мирно растут среди акварельных облаков — отправляйтесь в Уэуэтенанго, один из самых высокогорных и самобытных кофейных регионов Гватемалы. Здесь, на высоте от 1400 до 1800 метров над уровнем моря, природа сама создает идеальные условия для выращивания спешелти‑кофе: резкие перепады дневных и ночны

👍98🔥8🥰2

Showing the 10 most recent of 10 posts we hold for @tabera_coffee. 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 — 96,558 of 1,480,688entries 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 4 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Tabera Coffee” (@tabera_coffee), 2,716 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tabera_coffee.

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.