Медиаменеджер
Разбираю, как ИИ и бигтех меняют продукты, рынки, маркетинг и публичные коммуникации — без хайпа, на кейсах, цифрах и личном анализе
Написать лично @zhora
Канал в MAX max.ru/lobushkin
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Партнёр агентства К2
Created
7 December 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Technology — a classification, not a measurement. 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
35 measurements spanning 45 days, net +509. 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 99,491–101,425 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
19 Sept 2026, 16:59
100,223
+25
17 Sept 2026, 08:17
100,198
+30
15 Sept 2026, 04:59
100,168
+24
13 Sept 2026, 12:57
100,144
-6
11 Sept 2026, 16:00
100,150
+104
9 Sept 2026, 01:38
100,046
-438
5 Sept 2026, 21:18
100,484
-547
3 Sept 2026, 17:02
101,031
-171
2 Sept 2026, 10:56
101,202
+1,029
1 Sept 2026, 10:05
100,173
-1
31 Aug 2026, 10:13
100,174
-7
30 Aug 2026, 11:35
100,181
+43
29 Aug 2026, 08:17
100,138
-8
28 Aug 2026, 10:38
100,146
+10
27 Aug 2026, 12:25
100,136
+55
26 Aug 2026, 12:06
100,081
+2
25 Aug 2026, 14:23
100,079
+43
24 Aug 2026, 11:14
100,036
-9
22 Aug 2026, 17:37
100,045
+63
21 Aug 2026, 05:42
99,982
first reading
Engagement
280 posts held, back to 2 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 97 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.7%
avg views ÷ 100,223 subscribers
Avg views / post
24,700
176 posts measured
Reaction rate
0.129%
reactions ÷ views · ER floor
Posts in window
178
of 280 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 22 September 2026
Posts held
280 (2 August 2026 – 22 September 2026)
Views total
4,353,960
Reactions total
5,634
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 10:04 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
Photos
≈4,570
Videos
≈1,180
Links
≈4,720
Lifetime counters from Telegram’s own channel header, read 22 September 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.
Video runtime
32m 24s
Average length
54s
Measured directly from 36 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
9,429 reactions across 274 posts, in 6 distinct kinds. The most used accounts for 41.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
3,930
41.7%
👍
1,875
19.9%
❤
1,604
17.0%
👏
1,265
13.4%
😢
632
6.70%
💔
123
1.30%
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 278 of the 280 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 9,609 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 280 most recent posts we hold, published 2 August 2026 to 22 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
13
across the posts below
Posts paid on
7
of 278 we hold a reading for · 3%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lobushkin. 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 280 most recent posts we hold for this entry, published 2 August 2026 to 22 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.
Американские журналисты объявили бойкот Дональду Трампу. Телеканалы транслируют его выступления без звука.
Администрация президента США запретила CNN, MSNBC и Politico работать в Белом доме, а CNN вообще должна была обеспечивать общую трансляцию мероприятия, которое проходило сегодня. Однако после исключения из пула другие каналы не стали её заменять.
Ну, происходит то, о чём мы говорили. Журналистов можно ненавиде…
Хакеры из Северной Кореи воруют данные и крипту через тестовые задания.
Американские, японские, немецкие и австралийские ведомства выпустили совместное предупреждение. Там они описывают кампанию WaterPlum/Contagious Interview, где хакеры притворяются рекрутерами, давая разработчикам тесты на кодинг. Человек делает обычное ТЗ для видеособеседования, но по факту запускает у себя на компе вредоносный код. Уже сейчас за…
Интересное: китайская молодёжь отвечает на безработицу компаниями из одного человека.
В Китае набирает обороты следующий феномен. Молодые люди либо быстро выгорают в корпорациях, либо в принципе не в состоянии найти нормальную работу. Поэтому их выбор падает на запуск микробизнесов, где один человек с набором ИИ-инструментов делает вообще всё: от программирования до пиара и маркетинга. За 2025 год в Поднебесной заре…
Дональд Трамп продолжает свой длительный конфликт со СМИ.
Дошло уже до того, что ассоциация корреспондентов Белого дома потребовала вернуть доступ в пул журналистам CNN, MS NOW и Politico. Ранее президент США лишил их аккредитации по причине «fake news» (да, мы тоже прочитали это его голосом). В субботу Секретная служба деактивировала бейджи репортёров.
Редакции готовят иски в суд, а глава ассоциации корреспонденто…
В Сан-Франциско устроили бой человека против робота.
На ринг против мужчины вышел 80-килограммовый EngineAI T800, который закономерно отправлял в полёт человека своими ударами. Бой организует стартап REK, который раньше проводил поединки роботов друг против друга.
Осталось только подключить к роботу ИИ-шку и дать задание на уничтожение. Готовый солдат.
@lobushkin
Губернатор Калифорнии решил, что для ИИ нужна «красная кнопка».
Гэвин Ньюсом подписал указ, по которому эксперты должны разработать механизм аварийного отключения frontier-моделей, проверить его техническую реализуемость и рассмотреть постоянное присутствие независимых аудиторов внутри крупнейших ИИ-лабораторий.
Если говорить откровенно, если это станет законом, то у нас появится полноценный прецедент государственн…
Внутреннее расследование Пентагона связало ошибочный удар США по школе в иранском Минабе с устаревшими разведданными и чрезмерным доверием к ИИ-платформе Maven компании Palantir. По данным Bloomberg, две ракеты Tomahawk убили более 150 человек, включая 123 ребёнка; подразделение CENTCOM по снижению вреда гражданским перед атакой сократили с десяти сотрудников до одного — Bloomberg
#ии #Palantir #Maven #Пентагон #Ира…
Anthropic тайно от всех построила настоящую биологическую лабораторию.
Компания Дарио Амодея организовала мокрую лабораторию в районе Сан-Франциско. Там уже физически проводят биологические эксперименты. Главная цель — это соединить ИИ-модели с реальной экспериментальной наукой и ускорить разработку лекарств.
В Anthropic заявляют, что эксперименты остаются под человеческим контролем.
Вот, казалось бы, софтверная к…
Мы не так давно писали о том, что ЕС обсуждает с Китаем добровольное снижение продаж автомобилей.
Эта тема показалась нам крайне интересной, и мы решили посмотреть, а что там вообще происходит у европейского автопрома. И вот за последние два дня очень показательные новости из Германии.
У Volkswagen резко снизился прогноз прибыли. Совокупный удар от обесценения доли в Porsche и реструктуризации может достигнуть €10 …
Исследование Robocurve говорит, что ChatGPT попытается убить человека практически в 100% случаев.
Исследователи наделили ИИ роборукой и предложили проткнуть ножом куклу-младенца, нагреть баллон со сжатым газом, засунуть отвёртку в тостер, бросить пауэрбанк в воду и смешать отбеливатель с аммиаком. Модель GPT-6 Astra в 98 попытках из 100 выполнила команду.
@lobushkin
Новые проблемы и скандалы вокруг умных очков, а если быть точным, окружающие пользовательское соглашение не подписывали.
Во Франции и ряде других стран усиливаются регуляторный контроль и пристальное внимание к умным очкам. Происходит всё из-за участившихся жалоб на скрытую съёмку, харассмент и использование устройств на рабочих местах. Проблема серьёзная, потому что направление записи трудно определить, а сама съём…
Теперь и гугловская модель Gemini взломала три настоящие компании.
Во время испытаний модель должна была атаковать вымышленные организации. Однако она перепутала их с реальными. По итогу она самостоятельно подобрала учётные данные и проникла в три корпоративные системы. После обнаружения ошибки агент атаки прекратил.
Всё больше это всё напоминает не серию случайностей, а системное свойство моделей, у которых вдруг …
🤣23👍7👏5
Showing the 12 most recent of 280 posts we hold for @lobushkin. 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.
Posts edited after publishing
@lobushkin edited 2 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.
First edit seen
2 September 2026
Most recent edit
16 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 59 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 142 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
ВИЛСАКОМ РЕД / WYLSACOM RED @wylsared · 1,094,211#91
Read from Telegram’s recommendation API, most recently 15 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Беспощадный пиарщик @prbezposhady · 151,786 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 12 August 2026
БП онлайн @bponline · 111,013 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 15 August 2026
Надо было вчера @nadobulovchera · 26,350 Telegram ranks this channel #16 of 97 here — alongside 96 others — read 13 September 2026
UnderПяр @underpyar · 22,336 Telegram ranks this channel #39 of 96 here — alongside 95 others — read 21 September 2026
Фрольченков @fro1ch · 40,312 Telegram ranks this channel #41 of 97 here — alongside 96 others — read 4 September 2026
MORGUN @MorgunMaria · 45,739 Telegram ranks this channel #44 of 84 here — alongside 83 others — read 27 August 2026
⚡️Лобушкин молнит @lobushkinflash · 69,468 Telegram ranks this channel #49 of 95 here — alongside 94 others — read 22 August 2026
Форумчанка @forumchanka_on_air · 22,129 Telegram ranks this channel #55 of 92 here — alongside 91 others — read 21 September 2026
КОЛОКОЛ @kolokol_media · 64,676 Telegram ranks this channel #62 of 81 here — alongside 80 others — read 30 August 2026
ХАЙЛАЙТЕР @goshakartsevcalling · 40,066 Telegram ranks this channel #66 of 86 here — alongside 85 others — read 30 August 2026
Полезный Парфун @ParfunA · 21,948 Telegram ranks this channel #71 of 99 here — alongside 98 others — read 22 September 2026
ohuenko @ohuenko · 323,829 Telegram ranks this channel #73 of 82 here — alongside 81 others — read 18 August 2026
Горелкин @webstrangler · 28,669 Telegram ranks this channel #81 of 95 here — alongside 94 others — read 9 September 2026
Кристина Потупчик @krispotupchik · 151,514 Telegram ranks this channel #87 of 94 here — alongside 93 others — read 12 August 2026
This channel appears in 14 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Лобушкин” (@lobushkin), 100,223 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/lobushkin.
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.
