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Channel

Alex Bull Погода | Беларусь 🇧🇾

@alexbullpogoda

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

26,564subscribers

-163 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-1002945105713
TypeChannel
Username@alexbullpogoda
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/alexbullpogoda

Topic

Other / unclassifiable — 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 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

26,51926,72726,6237 August 2026 — 26,727 subscribers7 August 2026 — 26,727 subscribers8 August 2026 — 26,716 subscribers8 August 2026 — 26,708 subscribers9 August 2026 — 26,704 subscribers10 August 2026 — 26,689 subscribers11 August 2026 — 26,656 subscribers12 August 2026 — 26,615 subscribers14 August 2026 — 26,609 subscribers15 August 2026 — 26,594 subscribers17 August 2026 — 26,575 subscribers18 August 2026 — 26,584 subscribers19 August 2026 — 26,558 subscribers20 August 2026 — 26,539 subscribers21 August 2026 — 26,519 subscribers22 August 2026 — 26,603 subscribers24 August 2026 — 26,583 subscribers25 August 2026 — 26,552 subscribers26 August 2026 — 26,564 subscribers27 August 2026 — 26,567 subscribers28 August 2026 — 26,553 subscribers29 August 2026 — 26,551 subscribers30 August 2026 — 26,549 subscribers31 August 2026 — 26,535 subscribers1 September 2026 — 26,533 subscribers2 September 2026 — 26,531 subscribers3 September 2026 — 26,523 subscribers5 September 2026 — 26,639 subscribers8 September 2026 — 26,659 subscribers11 September 2026 — 26,664 subscribers13 September 2026 — 26,620 subscribers14 September 2026 — 26,606 subscribers16 September 2026 — 26,626 subscribers19 September 2026 — 26,614 subscribers25 September 2026 — 26,564 subscribers26,5647 August 202625 September 2026
35 measurements spanning 49 days, net -163. 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 26,488–26,758 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
25 Sept 2026, 08:2226,564-50
19 Sept 2026, 00:5726,614-12
16 Sept 2026, 15:3926,626+20
14 Sept 2026, 15:5926,606-14
13 Sept 2026, 05:4126,620-44
11 Sept 2026, 04:3726,664+5
8 Sept 2026, 10:3726,659+20
5 Sept 2026, 06:5726,639+116
3 Sept 2026, 12:4026,523-8
2 Sept 2026, 05:1626,531-2
1 Sept 2026, 03:1426,533-2
31 Aug 2026, 05:0726,535-14
30 Aug 2026, 04:0726,549-2
29 Aug 2026, 03:0326,551-2
28 Aug 2026, 00:2526,553-14
27 Aug 2026, 02:5426,567+3
26 Aug 2026, 05:1726,564+12
25 Aug 2026, 08:2926,552-31
24 Aug 2026, 09:3726,583-20
22 Aug 2026, 19:3726,603first reading

Engagement

339 posts held, back to 7 August 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 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.7%
avg views ÷ 26,564 subscribers
Avg views / post
2,830
95 posts measured
Reaction rate
1.21%
reactions ÷ views · ER floor
Posts in window
95
of 339 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 93 of 95 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 24 September 2026
Posts held339 (7 August 2026 – 24 September 2026)
Views total269,097
Reactions total3,193
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 11:36 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
56m 28s
Average length
1m 46s

Measured directly from 32 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

13,966 reactions across 336 posts, in 31 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6,20444.4%
👍2,87220.6%
custom 54471164881776313992,57118.4%
🔥8225.89%
⚡2331.67%
😢1951.40%
🎉1421.02%
🤣1411.01%
☃1050.752%
👀950.68%
🤔870.623%
👌550.394%
👏480.344%
😭480.344%
🙈460.329%
😁440.315%
❤‍🔥430.308%
🙏360.258%
🥰360.258%
🤩280.2%
11 further kinds1150.823%

Custom emoji. One 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 count beside it is Telegram’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 336 of the 339 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 13,966 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 339 most recent posts we hold, published 7 August 2026 to 24 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
105
across the posts below
Posts paid on
5
of 338 we hold a reading for · 1%
Most on one post
101
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @alexbullpogoda. 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 339 most recent posts we hold for this entry, published 7 August 2026 to 24 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

24 Sept 2026, 11:16 UTC455 views8 reactionsread 24 September 2026
Photo

🌊 ПОЛЮС ПЕРЕУВЛАЖНЕНИЯ: СЕВЕР И СЕВЕРО-ЗАПАД (ДО 200–219% НОРМЫ!) Северная половина республики и Полесье действительно «утонули» под серией циклонов: 🚨 Лынтупы: абсолютный рекордсмен — 136 мм при норме 62 мм (219% — больше двух месячных норм!); 🌊 Полоцк: 119 мм при норме 59 мм (200% — ровно две нормы); 🌧 Лельчицы: 86 мм при норме 48 мм (179%); 🌧 Ошмяны: 97 мм при норме 55 мм (178%); 🌧 Нарочь: 101 мм при норме 57 мм (…

🤔5❤3

24 Sept 2026, 08:26 UTC≈2,090 views36 reactionsread 24 September 2026
Photo

🌊 БОЛЬШОЙ АПДЕЙТ НА 11:00 (24 СЕНТЯБРЯ): «ЧЕРНОМОРСКИЙ СНАРЯД» УТЮЖИТ ВОСТОК БЕЛАРУСИ — СУТОЧНЫЕ СУММЫ ОСАДКОВ СТРЕМИТЕЛЬНО РАСТУТ! Тот самый активный южный циклон, за движением которого мы следили последние дни, вышел ровно по прогнозируемой траектории — по стыку восточных границ Беларуси и запада России. Прямо сейчас восточная половина страны находится под мощным фронтальным прессом, и осадки в течение дня будут то…

custom 544711648817763139922❤12👍2

24 Sept 2026, 06:10 UTC≈2,600 views44 reactionsread 24 September 2026
Photo

🌍 ЗЕМЛЯ ЖИЛА В 5 «МЕГА-КЛИМАТАХ»: УЧЁНЫЕ РАСКРЫЛИ ТАЙНУ МАССОВЫХ ВЫМИРАНИЙ ЗА 539 МИЛЛИОНОВ ЛЕТ Долгое время считалось, что климат Земли в далёком прошлом хаотично и плавно дрейфовал от ледниковых эпох к парникам. Однако в свежем исследовании, опубликованном в журнале Nature Communications (о котором сообщил портал Phys.org), международная группа палеобиологов, климатологов и математиков доказала: климатическая истор…

❤34🔥10

24 Sept 2026, 04:20 UTC≈3,040 views10 reactionsread 24 September 2026

Posted without readable text

custom 54471164881776313996👍3😢1

23 Sept 2026, 18:13 UTC687 views14 reactionsread 23 September 2026
Photo

Бабье лето и Черноморский циклон #alexbullpogoda #погода #погодавбеларуси #циклон

👍10custom 54471164881776313993🔥1

23 Sept 2026, 15:12 UTC≈2,250 views8 reactionsread 23 September 2026

Posted without readable text

👍4🔥2custom 54471164881776313992

23 Sept 2026, 14:49 UTC≈2,300 views47 reactionsread 23 September 2026
Photo

🍁 ОКТЯБРЬ ГОТОВИТ СЮРПРИЗ? СРЕДНЕСРОЧНЫЙ ПРОГНОЗ ECMWF И CFSv2 ДЛЯ БЕЛАРУСИ: ТЕПЛО ВЫШЕ НОРМЫ, СУХАЯ ПАУЗА И ШАНСЫ НА «БАБЬЕ ЛЕТО» После череды циклонов, заливших Беларусь в конце сентября, свежие ансамблевые расчеты Европейского центра среднесрочных прогнозов (ECMWF) и американской модели CFSv2 на октябрь показывают долгожданный разворот циркуляции. Посмотрим детально на карты аномалий температуры и осадков именно д…

custom 544711648817763139919👍16❤12

23 Sept 2026, 10:37 UTC≈3,220 views29 reactionsread 23 September 2026
Photo

Местами продолжает лить центр.

custom 544711648817763139921🐳8

23 Sept 2026, 08:33 UTC≈3,630 views23 reactionsread 23 September 2026
Photo

В ближайшие 24 часа ожидаем слабую магнитную бурю G1

❤14😢9

23 Sept 2026, 08:02 UTC≈3,580 views43 reactionsread 23 September 2026
Photo

🌍 Эль-Ниньо как тест на прочность: сможет ли мир подготовиться заранее? Друзья, эта тема хорошо продолжает то, что мы уже разбирали про разгоняющийся Супер-Эль-Ниньо и его влияние на предстоящую зиму — но здесь фокус смещается на не менее важный вопрос: продовольственную безопасность целых регионов планеты. 🌊 Что происходит По данным Всемирной метеорологической организации (ВМО), нынешнее Эль-Ниньо усиливается стреми…

❤19custom 544711648817763139916🤔8

23 Sept 2026, 08:01 UTC≈2,910 views11 reactionsread 23 September 2026

Posted without readable text

❤6custom 54471164881776313995

Showing the 12 most recent of 339 posts we hold for @alexbullpogoda. 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.

Forward network

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 2 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Alex Bull Погода | Беларусь 🇧🇾” (@alexbullpogoda), 26,564 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/alexbullpogoda.

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.