МТС переименовала сеть: вместо MTS RUS на экранах теперь MTS 5G. На сайте оператора объяснили, что новое название универсальное и будет показываться при любом виде связи. Так что даже если у вас 3G или 4G, по статусу в углу вы уже как бы в 5G.
🗿15😁9

Channel
@tzigan
On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
41,882subscribers
-1,019 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001081165188 |
|---|---|
| Type | Channel |
| Username | @tzigan |
| Created | 30 December 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/tzigan |
Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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.
Recorded in 2019 as “Цыгане диджитал” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 10:39 | 41,882 | -45 |
| 14 Sept 2026, 13:58 | 41,927 | -40 |
| 13 Sept 2026, 03:59 | 41,967 | -47 |
| 11 Sept 2026, 02:55 | 42,014 | -74 |
| 8 Sept 2026, 05:42 | 42,088 | -71 |
| 5 Sept 2026, 04:20 | 42,159 | -36 |
| 3 Sept 2026, 09:27 | 42,195 | -31 |
| 2 Sept 2026, 01:47 | 42,226 | -27 |
| 31 Aug 2026, 22:16 | 42,253 | -21 |
| 30 Aug 2026, 20:14 | 42,274 | -25 |
| 29 Aug 2026, 23:36 | 42,299 | -27 |
| 28 Aug 2026, 20:46 | 42,326 | -11 |
| 27 Aug 2026, 20:25 | 42,337 | -21 |
| 26 Aug 2026, 22:55 | 42,358 | -36 |
| 25 Aug 2026, 21:44 | 42,394 | -21 |
| 24 Aug 2026, 23:56 | 42,415 | -42 |
| 23 Aug 2026, 11:53 | 42,457 | -37 |
| 21 Aug 2026, 20:17 | 42,494 | -16 |
| 20 Aug 2026, 19:02 | 42,510 | -22 |
| 19 Aug 2026, 19:05 | 42,532 | first reading |
329 posts held, back to 4 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 79 pages of Telegram’s post history, 20 posts per page.
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 215 of 231 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 September 2026 |
|---|---|
| Posts held | 329 (4 August 2026 – 14 September 2026) |
| Views total | 330,312 |
| Reactions total | 3,578 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Sept 2026, 15:44 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.
Measured directly from 104 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.
5,412 reactions across 294 posts, in 6 distinct kinds. The most used accounts for 31.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,707 | 31.5% | |
| 😁 | 1,636 | 30.2% | |
| 🗿 | 841 | 15.5% | |
| 🔥 | 780 | 14.4% | |
| 👍 | 319 | 5.89% | |
| 👏 | 129 | 2.38% |
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 312 of the 329 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 5,703 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 329 most recent posts we hold, published 4 August 2026 to 14 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.
МТС переименовала сеть: вместо MTS RUS на экранах теперь MTS 5G. На сайте оператора объяснили, что новое название универсальное и будет показываться при любом виде связи. Так что даже если у вас 3G или 4G, по статусу в углу вы уже как бы в 5G.
🗿15😁9
Маргоша из вирусного влога не существует — это ИИ. «Студентка Вагановки» показала учебный день, собрала комплименты, подписки, предложения от рекламодателей и 3 млн просмотров за пару дней. Когда автор призналась, что девушка сгенерирована, часть зрителей испытала разочарование и ощущение обмана — как будто доверять своим глазам уже нельзя.
Инжирный бум накрыл кафе и рестораны России: заведения массово добавляют в меню спешлы с сезонным фруктом, и это не только десерты. Цех85 выкатил инжирный чизкейк, Mates делает пиццу, брускетту и тирамису с инжиром, Jpan — матчу-тапиока и инжирный торт, а грузинские рестораны вообще пошли в хачапури с инжиром. Кажется, у нас новый главный сезонный фетиш общепита.
❤3🔥3
Светлана посчитала все рилсы в директе: парень шлёт их в два раза больше, но почти не реагирует на её ролики. Она перелистала весь август, где были тысячи сообщений, и выяснила, что он прислал 679 роликов против её 292. При этом она поставила реакции на 410 его рилсов, а он ответил только на 76 её видео. В итоге Светлана решила больше не отправлять ему свои интересные рилсы и не ставить реакции на поток его роликов.
❤8😁7
SpaceX в 2027 году собирается выводить на орбиту ИИ-системы NVIDIA Vera Rubin NVL72, заявил Илон Маск. Их планируют использовать для задач искусственного интеллекта прямо в космосе. Раньше в августе SpaceX объявила о партнёрстве с NVIDIA для разработки вычислительных модулей спутников Starmind AI1. Эти модули должны дать на орбите мощности уровня наземных дата-центров.
🗿4❤1
Девушка устала выбивать «перспективные проекты» и удалёнку и запостила крик души: бросила поиск и ушла работать швеёй на фабрику. В реплаях нашлись и те, кто так же споткнулся о поиск, и полностью выгоревшие от престижной корпоративной мясорубки. Коллеги, держимся.
🔥15❤10
Сумочка для наггетсов Le Nugguette Bag появилась у французского Burger King. В неё помещаются четыре кусочка, а продавать аксессуар будут за 4 доллара с 12 сентября. Фастфуд как новая линия аксессуаров — ну почему нет.
🔥5
Гольф в США внезапно стал массовым и молодёжным — и старым игрокам это не нравится. Вместе с новичками на поля пришли музыка из колонок, худи вместо поло, алкоголь и более расслабленное отношение к правилам. В ответ часть опытных игроков запустила движение ShrinkTheGame — они буквально предлагают перестать так активно популяризировать гольф.
😁11
«Ну и какие теперь Сникерсы?» — директор «Белевской пастилы» разогнал фанбазу десерта своими рилсами. Он постоянно выкладывает забавные видео, которые собирают кучу просмотров, а в комментариях уже обещают идти за пастилой, заводить третьего кота с именем «Белевская Пастила Дмитрий» и признаются, что начали брать эту пастилу к чаю именно после его роликов. Когда маркетинг — это просто харизматичный директор в кадре.
👏10🗿3😁2
Пранкер три недели прикидывался сотрудником «Газпром-Арены» и кормил СМИ фейками про концерты Канье Уэста. Он даже создал отдельный канал «для журналистов» и через него рассылал анонсы. Чтобы выглядеть убедительнее, парень отвечал на вопросы редакций с помощью ИИ — и, судя по всему, ни одно издание за это время так и не проверило источник информации. В мире, где фактчекинг сливается боту в личке, пранкеры явно не о…
👏6❤1
Poizon теперь в Телеграм! У китайского маркетплейса появился официальный дистрибьютор — Border. Там можно покупать брендовые товары напрямую, без посредников, наценок и дополнительных комиссий. Доставка самолетом из Китая занимает от 5 дней — это рекордно низкие сроки. Попробуйте сами: @poizon
😁2
Директор «Белевской пастилы», который раньше кошмарил критиков в комментах, теперь сам снимает рилсы. В новом видео он записал реакцию на чаепитие сотрудников со сникерсами — финал там особенно жёсткий.
🔥24🗿3❤1😁1
Showing the 12 most recent of 329 posts we hold for @tzigan. 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.
@tzigan edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 5 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.
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“Беспощадный диджитал” (@tzigan), 41,882 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/tzigan.
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.