Technology — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 25 comparable posts for this entry, running 3 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @iPumpBrain — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
30 measurements spanning 34 days, net -1,413. 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 183,130–184,967 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
9 Sept 2026, 05:58
183,342
-49
5 Sept 2026, 19:16
183,391
-27
3 Sept 2026, 20:55
183,418
-49
2 Sept 2026, 10:24
183,467
-17
1 Sept 2026, 12:44
183,484
-10
31 Aug 2026, 14:23
183,494
-21
30 Aug 2026, 15:47
183,515
+49
29 Aug 2026, 17:07
183,466
-26
28 Aug 2026, 18:34
183,492
-46
27 Aug 2026, 19:48
183,538
-57
26 Aug 2026, 19:48
183,595
-24
25 Aug 2026, 21:16
183,619
-80
24 Aug 2026, 19:14
183,699
-94
23 Aug 2026, 02:07
183,793
-59
21 Aug 2026, 11:43
183,852
-42
20 Aug 2026, 10:48
183,894
-65
19 Aug 2026, 11:27
183,959
-48
18 Aug 2026, 11:03
184,007
-46
17 Aug 2026, 14:13
184,053
-68
16 Aug 2026, 07:03
184,121
first reading
Engagement
243 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 79 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.60%
avg views ÷ 183,342 subscribers
Avg views / post
4,760
197 posts measured
Reaction rate
0.825%
reactions ÷ views · ER floor
Posts in window
197
of 243 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. It is computed over the 195 of 197 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 9 September 2026
Posts held
243 (3 August 2026 – 9 September 2026)
Views total
937,930
Reactions total
7,669
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Sept 2026, 20:21 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
≈8,540
Videos
≈7,730
Links
≈14,400
Lifetime counters from Telegram’s own channel header, read 9 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
1h 41m
Average length
50s
Measured directly from 122 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
9,872 reactions across 233 posts, in 6 distinct kinds. The most used accounts for 30.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
2,992
30.3%
🔥
2,180
22.1%
👍
1,761
17.8%
🥴
1,564
15.8%
🤯
890
9.02%
🤔
485
4.91%
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 241 of the 243 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 10,270 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 243 most recent posts we hold, published 3 August 2026 to 9 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.
Айфон-раскладушка за 2000 долларов официально представлен — называется iPhone Duo
Основные подробности:
— Самый большой и самый тонкий iPhone в истории с дисплеем 7,6 дюйма.
— Фронтальная камера под экраном.
— Можно запускать сразу 2 приложения на экране.
— Заряда хватает на 24 часа в разложенном состоянии и до 44 часов в сложенном.
— Вместо FaceID у него будет сканер отпечатка пальцев сбоку.
— Два цвета: «Зол…
Первый айфон-раскладушка — показали iPhone Duo с двумя дисплеями.
Смартфон раскладывается и превращается в мини-планшет: поддерживает Apple Pencil и встроенный сканер отпечатка пальца Touch ID. Будет 2 цвета — белый и тёмно-синий.
Прокачай Мозг
Показали Apple Watch Series 12 с увеличенной площадью поверхностью электродов.
Они будут считывать пульс пользователя каждые 30 секунд, вариабельность ЧСС каждые 5 минут, а также отслеживать жизненно важные показатели и сон.
Прокачай Мозг
Так выглядят новые AirPods 5 — это новое поколение беспроводных наушников со встроенным живым переводом, 5 часами автономной работы и активным шумоподавлением.
Цена — $129, в продаже будут с 18 сентября.
Прокачай Мозг
Робот-баскетболист от Toyota показал, как надо играть в баскетбол
Робот CUE7 приехал на матч в Токио. Железный продемонстрировал в перерыве свое умение забрасывать. Нейросети самостоятельно выработали технику бросков.
Прокачай Мозг
DLSS 5 может сжечь видеокарту — у владельца RTX 5090 во время тестов технологии расплавился 16-контактный разъём питания.
Во время игры в NBA 2K27 с включенным DLSS 5 карта потребляла больше 600 Вт, после чего появился запах гари, а коннектор буквально расплавился и приплавился к кабелю.
При этом обвинять именно DLSS 5 пока рано: случаи с расплавленными разъёмами RTX 5090 уже происходили и при других нагрузках.
Пр…
Девушки массово запрещают играть своим парням в GTA VI — они ревнуют их к Люсии. Разгневаные девушки запустили целый тренд в TikTok против игры и называют игру в GTA — «микроизменой».
Дело в том, что новая GTA VI — это буквально симулятор отношений между Джейсоном и Люсией. Игра позволяет завести страстный роман с вечно похотливой Люсией, флиртовать с ней, ходить на свидания, держаться за руки и, возможно, делать чт…
Секс снимает заложенность носа — эффект сравним с назальным спреем, только с меньшим временем действия.
Исследование проводили с участием 18 пар. Им измеряли дыхательную функцию носа: до секса, сразу после оргазма, через 30 минут, 1 час и 3 часа после.
• Носовое дыхание ухудшалось до оргазма/спрея.
• После секса/ спрея заложенность носа купировалась. Эффект держался около часа.
• Через 3 часа улучшение сохранялось …
Безумие продолжается: Пользователь с помощью GPT-6 Astra создал интерактивный 3D-сайт, который разбирает тело человека на 2,234 детали. Модель позволяет крутить, масштабировать и изучать каждый элемент в отдельности.
Прокачай Мозг
В Абу-Даби откроют огромный тематический парк по «Гарри Поттеру» уже в 2029 году.
Интерактивный парк воссоздаст как минимум 3 тематические зоны — Хогвартс, Косой переулок и Запретный лес. Всё это будет под контролем Warner Bros.
Например, одним из аттракционов станет волшебный летающий Ford Anglia, на котором Гарри с Роном прилетели в Хогвартс с Тисовой улицы.
Ждём письмо из Хогвартса, официально
Прокачай Мозг
🔥27👍1🤔1
Showing the 12 most recent of 243 posts we hold for @iPumpBrain. 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.
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 10 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.
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.
Read from Telegram’s recommendation API, most recently 11 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.
Это интересно! @very_interesno · 172,995 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 12 August 2026
Мир Фактов @MirFacto · 141,393 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 13 August 2026
Наука дня | Факты @sciensday · 57,798 Telegram ranks this channel #3 of 67 here — alongside 66 others — read 23 August 2026
КиберПанк | Технологии Будущего | Technology @technology_future_cyberpunk · 37,341 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 1 September 2026
Саморазвитие в Опросах @samorasvitia_opros · 157,799 Telegram ranks this channel #4 of 87 here — alongside 86 others — read 12 August 2026
Первая передача @firstgear_channel · 199,582 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 11 August 2026
НА ГРАНИ @nagrani_video · 37,318 Telegram ranks this channel #5 of 67 here — alongside 66 others — read 1 September 2026
Animal Planet @animal_planeta · 117,732 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 14 August 2026
Главная Дорога @Glavnayadoroga_tg · 205,904 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 11 August 2026
За рулём @driverone · 461,494 Telegram ranks this channel #5 of 88 here — alongside 87 others — read 10 August 2026
Улётные приколы😂 @prikoly · 373,065 Telegram ranks this channel #7 of 85 here — alongside 84 others — read 10 August 2026
Очевидные вещи @ochewid · 55,443 Telegram ranks this channel #8 of 88 here — alongside 87 others — read 23 August 2026
Удивительный Мир 🏝 @travelmir_tg · 167,257 Telegram ranks this channel #9 of 74 here — alongside 73 others — read 12 August 2026
МЕХАНИК @imehanik · 321,422 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 10 August 2026
MATEMATIKA🧠 @mathrus3 · 54,574 Telegram ranks this channel #13 of 77 here — alongside 76 others — read 23 August 2026
National Geographic @Nationall_Geoographic · 50,354 Telegram ranks this channel #14 of 83 here — alongside 82 others — read 25 August 2026
Live Nature @priroda_animal · 114,013 Telegram ranks this channel #14 of 85 here — alongside 84 others — read 14 August 2026
МАСТЕР @macters · 234,249 Telegram ranks this channel #16 of 84 here — alongside 83 others — read 11 August 2026
Глубина @thedeepsee · 41,990 Telegram ranks this channel #17 of 65 here — alongside 64 others — read 29 August 2026
ЯТХ @ytx_sex_public · 58,131 Telegram ranks this channel #17 of 68 here — alongside 67 others — read 25 August 2026
Простые Рецепты @prostoy_retsept · 583,624 Telegram ranks this channel #17 of 76 here — alongside 75 others — read 10 August 2026
Терабит: айти технологии @tbite · 28,262 Telegram ranks this channel #18 of 85 here — alongside 84 others — read 9 September 2026
Ржака | Мемы | Юмор @rjaka_memi · 76,584 Telegram ranks this channel #19 of 84 here — alongside 83 others — read 19 August 2026
Рукастый дядя @rukasty · 185,002 Telegram ranks this channel #21 of 86 here — alongside 85 others — read 12 August 2026
This channel appears in 70 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
One domain this 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 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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Прокачай Мозг: Айти, Тренды, Технологии” (@iPumpBrain), 183,342 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/iPumpBrain.
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.