Channel
@InfluenceBureau
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Cite this entry
82,174subscribers
-2,460 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001862076675 |
|---|---|
| Type | Channel |
| Username | @InfluenceBureau |
| Description | Мы не учим маркетингу — мы учим создавать влияние, которое продает. Сотрудничество: @nsblol |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 October 2026 |
| Measurements held | 50 |
| Confirmed unchanged | 1 time, most recently 27 October 2026 |
| On Telegram | t.me/InfluenceBureau |
Marketing & affiliate — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 44% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Oct 2026, 08:07 | 82,174 | -318 |
| 26 Oct 2026, 10:14 | 82,492 | -314 |
| 25 Oct 2026, 12:58 | 82,806 | -456 |
| 24 Oct 2026, 16:06 | 83,262 | -340 |
| 23 Oct 2026, 14:56 | 83,602 | -540 |
| 22 Oct 2026, 14:27 | 84,142 | -499 |
| 21 Oct 2026, 07:47 | 84,641 | -580 |
| 20 Oct 2026, 03:30 | 85,221 | -525 |
| 19 Oct 2026, 00:37 | 85,746 | -491 |
| 18 Oct 2026, 00:36 | 86,237 | -608 |
| 16 Oct 2026, 20:59 | 86,845 | -548 |
| 15 Oct 2026, 22:04 | 87,393 | -710 |
| 14 Oct 2026, 19:16 | 88,103 | +3,275 |
| 13 Oct 2026, 07:49 | 84,828 | +416 |
| 9 Oct 2026, 02:39 | 84,412 | +2,567 |
| 4 Oct 2026, 14:17 | 81,845 | -3,029 |
| 26 Sept 2026, 05:40 | 84,874 | -3,232 |
| 19 Sept 2026, 07:54 | 88,106 | -1,181 |
| 16 Sept 2026, 23:16 | 89,287 | -992 |
| 15 Sept 2026, 02:59 | 90,279 | first reading |
448 posts held, back to 3 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 197 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.
| Window | Rolling 30 days · latest post in window 28 October 2026 |
|---|---|
| Posts held | 448 (3 August 2026 – 28 October 2026) |
| Views total | 2,324,377 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Oct 2026, 04:12 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.
Lifetime counters from Telegram’s own channel header, read 28 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 92 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.
516 reactions across 29 posts, in 23 distinct kinds. The most used accounts for 47.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 247 | 47.9% | |
| 👎 | 40 | 7.75% | |
| 🥰 | 40 | 7.75% | |
| ❤🔥 | 25 | 4.84% | |
| 🤡 | 21 | 4.07% | |
| 🤣 | 18 | 3.49% | |
| 🤯 | 17 | 3.29% | |
| 💘 | 16 | 3.10% | |
| 🔥 | 13 | 2.52% | |
| 🤮 | 13 | 2.52% | |
| 💋 | 9 | 1.74% | |
| 😭 | 9 | 1.74% | |
| 😢 | 8 | 1.55% | |
| 🍓 | 7 | 1.36% | |
| 🤷 | 7 | 1.36% | |
| 🐳 | 6 | 1.16% | |
| 🦄 | 6 | 1.16% | |
| 👍 | 4 | 0.775% | |
| 🍌 | 3 | 0.581% | |
| 🌚 | 2 | 0.388% | |
| 3 further kinds | 5 | 0.969% |
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 29 of the 448 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 516 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 448 most recent posts we hold, published 3 August 2026 to 28 October 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzqxTGDDd | 1 | 10 August 2026 | 10 August 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 448 most recent posts we hold, published 3 August 2026 to 28 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Пока бренды придумывают забавные, но бесполезные аксессуары, McDonald’s в Китае выпустили действительно полезный девайс. Они создали чесалку для спины в форме огромного стебля зелёного лука. В китайских соцсетях говорят, что стоит этот необходимый в быту девайс всего 150 рублей. Бюро влияния 🤑
Xiaomi представила стиральную машину для обуви — Mijia Shoe Washer 3KG за $195 (около 15 тысяч рублей). За один цикл она отмывает 2–4 пары, включая подошву и подкладку. Шнурки снимать не нужно; есть и экспресс-режим на 20 минут. Подойдёт для кроссовок, детской обуви и тапочек. Белые кеды, похоже, дождались персональной прачечной Бюро влияния 🤑
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Хэллоуин для киноманов устроят в Петербурге — 31 октября «Мираж» превратится в площадку для ночного марафона культовых хорроров. С 20:00 в программе диджей-сет, тематические декорации и показы «Битлджуса», «Звонка», «Сайлент Хилла» и «Молчания ягнят». А в 23:00 вечеринка переместится в клуб Mirage, где продолжится уже с танцами и музыкой. Приходить советуют в костюмах — за самые оригинальные образы обещают специальн…
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В США начали продавать билеты на чужие свадьбы — за $25–150 можно поесть и потанцевать на банкете незнакомой пары. Сервис Not a Wedding Crasher помогает молодожёнам продать свободные места и вернуть часть расходов. Гостей одобряют сами жених и невеста, а платформа получает процент с каждого билета. За несколько сервис собрал 40 тысяч пользователей. И подарок приносить не нужно — вот это уже гостеприимство Бюро вли…
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Душевная акция: в Москве поставили автомобили с моменты из их «жизни» на кузовах. «Вез невесту», «первое путешествие к Черному морю», «встретил самого маленького пассажира из роддома». Такими «воспоминаниями» сервис «Автотека» отметил свое 10-летие. Сервис хранит самые главные данные про машину: сколько было владельцев, пробег, ремонты и историю ТО, есть ли юридические риски и др. Заход через эмоцию без потери сут…
В Екатеринбурге сделали пирожное по мотивам «Сумерек» — Эдварду Каллену теперь досталось место в десертном меню. Вампира сметают за считаные минуты, а сам десерт обещают оставить в меню навсегда. Похоже, бессмертие бывает и кондитерским. Бюро влияния 🤑
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Бамбл на компоте продают в московской кофейне Mates. В его составе — сухофрукты, пуэр с шиповником, османтус с абрикосом и чили. Клиенты называют его самым осенним напитком. когда уже седьмая вода на киселе Бюро влияния 🤑
В Канаде человек победил на выборах в горсовет, честно сказав избирателям, что не понимает, чем ему предстоит заниматься. Зак Дэвис построил кампанию на двух фразах: «Просто пытаюсь оплатить аренду» и «Давайте посмотрим, что из этого выйдет?». Избирателям такой подход зашёл сильнее предвыборных программ — и мандат забрал он. Теперь в муниципальных делах придётся разбираться всерьёз. Но начинал он честно. По-моему эт…
Showing the 12 most recent of 448 posts we hold for @InfluenceBureau. 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.
Named by 16 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 27 October 2026 — this entry's latest reading, not the date you are reading this.
“Бюро Влияния” (@InfluenceBureau), 82,174 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/InfluenceBureau.
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.