Giveaways & airdrops — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
63,800 average views per post against 65,030 subscribers — an engagement rate of 98.1%. Across the 7,904 registered channels in the same cohort — 31,623–99,961 subscribers, posting mainly in Russian — the middle half sit between 4.93% and 21.0%, with a median of 10.4%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
21 of 21 published in the window (0 exact, 21 rounded by Telegram)
Views totalled
1,339,190
Mature posts only
102.9% over 20 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
9 measurements spanning 7 days, net -203. 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 64,966–65,229 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 23:12
64,996
-34
12 Aug 2026, 00:02
65,030
-30
10 Aug 2026, 22:32
65,060
-21
9 Aug 2026, 22:11
65,081
-17
8 Aug 2026, 21:58
65,098
-28
8 Aug 2026, 00:42
65,126
-49
6 Aug 2026, 21:32
65,175
-24
6 Aug 2026, 01:36
65,199
no change
5 Aug 2026, 22:00
65,199
first reading
Engagement
24 posts held, back to 8 July 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
98.1%
avg views ÷ 64,996 subscribers
Avg views / post
63,800
21 posts measured
Reaction rate
0.154%
reactions ÷ views · ER floor
Posts in window
21
of 24 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
24 (8 July 2026 – 12 August 2026)
Views total
1,339,190
Reactions total
2,056
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 19:13 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
6s
Average length
6s
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
2,321 reactions across 24 posts, in 16 distinct kinds. The most used accounts for 26.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
607
26.2%
🔥
290
12.5%
⚡
285
12.3%
🌚
278
12.0%
👍
150
6.46%
😎
145
6.25%
❤🔥
136
5.86%
👀
136
5.86%
😁
126
5.43%
👌
66
2.84%
💯
35
1.51%
🐳
26
1.12%
😍
14
0.603%
🥰
14
0.603%
👏
7
0.302%
🎉
6
0.259%
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 24 of the 24 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 2,321reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 8 July 2026 to 12 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.
😳😳😳😳😳😳😳😳😳😳
😳😳😳😳😳😳😳😳😳😳
😳😳😳😳😳😳😳😳😳😳
Путешествуете? Мы тоже! Поэтому сделали использование роуминга ещё удобнее, чтобы не бегать в поисках WiFi на отдыхе.
🤓 Объясняем: за границей ваш телефон видит только местные сети.
Чтобы вы могли позвонить или зайти в интернет, МегаФон заранее договаривается с каждым оператором: пустят ли они вас и на каких условиях.
*️⃣У каждой договорённости — своя цена, поэтому тарифы на роуми…
Забота — это…
...когда ребёнок под присмотром, даже если вас нет поблизости 💜
С новыми технологиями заботиться о семье стало легче, а уровень стресса не поднимается, даже когда дети не отвечают на звонки или задерживаются в школе. И можно не переживать о том, что они могут увидеть в интернете.
Например, с МегаСемьёй от МегаФона можно добавить номер ребенка — и он будет под защитой.
🟢 На связи, даже если у кого-то…
— Алло, как слышно?
— Отлично! Спасибо VoWiFi 🙂↕️
Рассказываем, что это такое ⬇️
💡 Технология VoWiFi позволяет сохранить привычное общение даже там, где ограничена мобильная связь — с ней можно безопасно звонить, через WiFi, а не через сотовую сеть.
Вместо базовой станции оператора используется роутер, который подключает смартфон к интернету.
Хорошая новость для путешественников: технология работает и в авиарежи…
💭 Вот повзрослею и стану….
Кто-то знает сразу, а кто-то не может определиться до самого поступления.
Аналитикам МегаФона стало интересно, какие профессии привлекают абитуриентов в этом году. Делимся исследованием на основе посещаемости сайтов учебных заведений.
Вот они слева направо — топ-6 самых популярных направлений.
1️⃣ Медицина — 40% посещений
При этом больше половины интересующихся — девушки (56%).
2️⃣ Ав…
✉️✨ Вам доставлен +1 шанс получить топовый гаджет Apple от Wylsacom!
Уже 10 августа узнаем, кто заберёт iPhone 17, AirPods Max и AirPods Pro.
Не завидуйте везунчикам — участвуйте в розыгрыше и станьте одним из них!
Просьба расписаться в получении, нажав ❤️
«Когда вырасту, куплю раскладушку, как у папы» 💭
Кто обожал олдскульные складные телефоны? Для вас хорошая новость: теперь технологии экранов усовершенствовались. И новинки от Samsung это подтверждают, ведь они стали ещё лучше предыдущих моделей!
В основе дисплея лежит гибкая OLED-матрица, а вместо обычного стекла используется ультратонкое гибкое стекло и защитные слои, которые распределяют нагрузку при сгибании — …
Были нишевыми, стали базовыми 👌
1989: Motorola выпускает первый телефон со складной крышкой
Конец 90-х: раскладушки Motorola, Samsung, Sony Ericsson и Nokia захватывают мир
2007: Apple выпускает айфон, складные телефоны забыты
2019: Galaxy Fold от Samsung воскрешает тренд
2026: складные гаджеты завоёвывают рынок
——— Вы находитесь здесь ———
2026: Apple презентует складной айфон
Да, раскладушки снова в тренде! По д…
Учителя: ну вот как их заставить прочитать Гомера?!
Кристофер Нолан: подержите мою камеру...
Стоило Кристоферу Нолану снять фильм о приключениях Одиссея, как весь мир снова открыл поэму Гомера.
💡 Немного фактов: за неделю до премьеры интерес к сайтам про античную мифологию и греческий язык вырос на 46%, а мобильный трафик на этих ресурсах — вчетверо!
Аналитики МегаФона и сети книжных магазинов «Читай-город» выясни…
⚡️ Не знаем, как абоненты других операторов, но наши точно путешествуют на скорости 5G
Заглянули в аналитику зарубежного трафика и обнаружили, что наши абоненты с начала года выходили в сеть более чем в 190 странах. Причём тянет их всё дальше: Мадагаскар за год вырос в 2,6 раза, Фиджи — на 147%. А сильнее всего вырос интернет-трафик там, где работает 5G-роуминг: Маврикий, Филиппины и Вьетнам — в 1,5 раза год к году.…
Кому яблочные гаджеты?
Wylsacom хотел устроить им краш-тест, но мы уговорили просто разыграть 😎
Призы:
🟢 Apple iPhone 17 256 ГБ
🟢 Apple AirPods Max 2 2026
🟣 Apple AirPods Pro 3 2025
Уже 10 августа вместе с Wylsacom разыграем их в нашем канале в МАКС.
Участвовать тут!
Ставьте ❤️ посту — Фортуна учтёт!
🍿 Готовьте чипсы и попкорн — Кинопоиск теперь в МегаКино!
Теперь в подписке целых пять кинотеатров: START, Wink, Premier, КИОН и Кинопоиск. Стоимость, кстати, всё та же — 399 ₽ в месяц вместо 2 000 ₽.
А ещё между кинотеатрами можно переключаться бесплатно три раза в месяц — чтобы точно посмотреть все самые громкие новинки:
🟢 «Мажор 5» на Кинопоиске;
🟣 «Холод» на START;
🟢 «После Фишера. Инквизитор» на Wink;
🟣 «Комм…
✨ Как похорошели телефоны с внедрением ИИ ✨
Спойлер — нет! Ладно, шутка, реально похорошели.
То, что недавно считалось вау-фичей и технологией будущего, стало привычным: сегодня ИИ-функции вшиты почти в каждый смартфон.
Рассказываем о самых полезных:
🟣 Умный поиск по галерее. ИИ не просто фильтрует фото и видео, а подбирает нужные по смыслу — например, снятые в парке или с памятником в кадре.
🟢 Чудо-ластик. В 202…
😎32⚡25🌚16❤4👀4👍2
Showing the 12 most recent of 24 posts we hold for @megafon_online. 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 — 4,116 of 1,151,006entries 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 20 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.
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.
Domains linked from posts
6 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“МегаФон” (@megafon_online), 64,996 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/megafon_online.
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.