5 measurements spanning 13 days, net +2. 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 1,071–1,074 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Sept 2026, 21:58
1,074
+1
3 Sept 2026, 03:10
1,073
+2
31 Aug 2026, 06:34
1,071
-1
25 Aug 2026, 19:22
1,072
no change
25 Aug 2026, 10:46
1,072
first reading
Engagement
16 posts held, back to 30 June 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 16 posts for this entry, the most recent from 18 February 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
535 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 60.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
325
60.7%
🔥
145
27.1%
❤
45
8.41%
👌
20
3.74%
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 14 of the 16 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 535 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 30 June 2024 to 18 February 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Парни, все! Газ! Открываю регистрации на вебинар🔥
Уже в этот четверг (20 февраля) в 20:00 по МСК пройдет большой вебинар на тему ремонта электронных модулей управления.
📎 Что разберем:
— Актуальность ремонта электроники и почему этот навык так важен для мастера
— Самые частые поломки на электронных модулях управления и их устранение
— Самый быстрый и эффективный способ освоения ремонта Электроники: пошаговый пла…
Парни все кто успел присоединиться к закрытому клубу мастеров , я вас искренне поздравляю 🙌
Уже в это воскресенье проведем первый совместный эфир на очень практичную тему 🔥
Кто хотел , но не успел приобрести - скоро откроем возможность купить , но уже по другим ценам 😉
Всем желаю плодотворных выходных 🤝
Друзья, для участия в розыгрыше нашего главного приза 👉 нажмите на кнопку «принять участие», которая расположена под этим сообщением. Сервис рандомно выберет одного победителя среди всех участников в 22:45 по МСК
Желаю всем удачи🤝🏻
Мы уже перешли к основной части эфира «ремонт электронного модуля от стиральной машины»
Присоединяйтесь👇
Бизон - https://start.bizon365.ru/room/117205/fixerplus
YouTube - https://www.youtube.com/live/6mfGoAz8R1A?si=3ohMN31vUESfc6yL
Showing the 12 most recent of 16 posts we hold for @fixervebinar. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 16 most recent posts we hold, published 30 June 2024 to 18 February 2025. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
УСПЕШНЫЙ АВТОЭЛЕКТРИК @beshen_elek · 58,531 Telegram ranks this channel #5 of 53 here — alongside 52 others — read 25 August 2026
Сообщество продвинутых мастеров @freechannelfixerplus · 33,007 Telegram ranks this channel #6 of 41 here — alongside 40 others — read 4 September 2026
This channel appears in 2 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 7 September 2026 — this
entry's latest reading, not the date you are reading this.
“Канал для вебинара” (@fixervebinar), 1,074 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/fixervebinar.
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.
