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Channel

Промпт - Наука и Техника

@Scienceg

On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

94,746subscribers

+81 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001146460225
TypeChannel
Username@Scienceg
DescriptionРеклама: @paprikamedia РКН — https://www.gosuslugi.ru/snet/6761828540af125d6a45403e
Created26 July 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live21 August 2026
Measurements held17
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/Scienceg

Topic

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 20 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.

Previous handles

Recorded in 2019 as “Наука и Техника — 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.

Growth

94,50694,82594,665.55 August 2026 — 94,665 subscribers6 August 2026 — 94,665 subscribers6 August 2026 — 94,655 subscribers7 August 2026 — 94,643 subscribers8 August 2026 — 94,595 subscribers9 August 2026 — 94,579 subscribers10 August 2026 — 94,506 subscribers11 August 2026 — 94,720 subscribers12 August 2026 — 94,702 subscribers13 August 2026 — 94,603 subscribers14 August 2026 — 94,794 subscribers16 August 2026 — 94,546 subscribers17 August 2026 — 94,725 subscribers18 August 2026 — 94,672 subscribers19 August 2026 — 94,625 subscribers20 August 2026 — 94,825 subscribers21 August 2026 — 94,746 subscribers94,7465 August 202621 August 2026
17 measurements spanning 16 days, net +81. 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 94,458–94,873 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 17:0694,746-79
20 Aug 2026, 17:2394,825+200
19 Aug 2026, 13:5294,625-47
18 Aug 2026, 11:3994,672-53
17 Aug 2026, 13:0794,725+179
16 Aug 2026, 03:2894,546-248
14 Aug 2026, 15:2894,794+191
13 Aug 2026, 05:1894,603-99
12 Aug 2026, 04:2994,702-18
11 Aug 2026, 05:2694,720+214
10 Aug 2026, 05:1094,506-73
9 Aug 2026, 05:1194,579-16
8 Aug 2026, 05:4194,595-48
7 Aug 2026, 04:1094,643-12
6 Aug 2026, 07:4094,655-10
6 Aug 2026, 01:3394,665no change
5 Aug 2026, 22:0294,665first reading

Engagement

184 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 36 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.71%
avg views ÷ 94,746 subscribers
Avg views / post
6,350
184 posts measured
Reaction rate
1.30%
reactions ÷ views · ER floor
Posts in window
184
of 184 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
WindowRolling 30 days · latest post in window 22 August 2026
Posts held184 (4 August 202622 August 2026)
Views total1,169,240
Reactions total15,185
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 12:10 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
23,700
Videos
10,500
Links
2,720

Lifetime counters from Telegram’s own channel header, read 22 August 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 00m
Average length
42s

Measured directly from 86 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

13,349 reactions across 165 posts, in 7 distinct kinds. The most used accounts for 54.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁7,22754.1%
🔥1,70512.8%
1,42610.7%
👍1,1588.67%
😱9837.36%
🤔7705.77%
👏800.599%

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 184 of the 184 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 15,185reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 184 most recent posts we hold, published 4 August 2026 to 22 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.

Telegram Stars

Stars received
20
across the posts below
Posts paid on
7
of 184 we hold a reading for · 4%
Most on one post
12
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Scienceg. 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 184 most recent posts we hold for this entry, published 4 August 2026 to 22 August 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.

Recent posts

22 Aug 2026, 11:14 UTC≈1,370 views18 reactionsread 22 August 2026
Photo

Вот тебе гора рекламы, будешь знать как смущать

😁15😱2🤔1

22 Aug 2026, 09:33 UTC≈2,500 views15 reactionsread 22 August 2026
Photo

Старые игры теперь запускаются прямо в браузере — нашли кладовку с классикой, которая когда-то съедала целые выходные. Здесь собрали золотую классику: от шутеров и стратегий до квестов и гонок. Вот пара примеров, чтобы заинтересовать: Heroes of Might & Magic III Half-Life StarCraft WarCraft 2 Age of Empires 2 Commandos SimCity 3000 Fallout 2 Diablo 1-2 Delta Force Quake 1-3 Worms: Armageddon Baldur's Gate Metal Gea

🔥15

22 Aug 2026, 07:45 UTC≈3,350 views20 reactionsread 22 August 2026
Photo

Вышла одна из самых опасных ИИ-моделей без цензуры — Qwen3.8-27B-Uncensored. Это модификация оригинальной китайской Qwen3.8-27B, которая вышла всего неделю назад. Из неё фактически «вырезали» механизм блокировки опасных запросов, из-за чего доля отказов упала до 0%. Теперь она может: — Давать опасные, вредоносные и незаконные инструкции; — Помогать с поиском и эксплуатацией уязвимостей, созданием вредоносного кода

🤔13👍52

22 Aug 2026, 07:45 UTC≈3,190 views42 reactionsread 22 August 2026
Video

У вас больше общего с вашей бабушкой, чем кажется.

😁39🤔3

21 Aug 2026, 18:01 UTC≈4,930 views108 reactionsread 22 August 2026
Video

Хоббиты, сохраняем гайд.

🔥63😁24🤔13👍71

21 Aug 2026, 17:01 UTC≈4,920 views34 reactionsread 22 August 2026
Photo

Забираем огромную шпаргалку по Claude Code на РУССКОМ — гении разместили почти весь CLI на одном листе. • Все самые нужные горячие клавиши. • Слэш-команды и работа с MCP-серверами. • Управление памятью и файлами. • Приемы, режимы и оркестрация. • Конфиги, env и навыки. Все расписано четко, сжато и понятно. Держите при себе и вы ускорите работу в Claude в десятки раз. Сохраняем.

🔥264😱2👍1👏1

21 Aug 2026, 15:38 UTC≈5,050 views66 reactionsread 22 August 2026
Video

Приз за самый адский способ переключения передач в машине уходит BYD Song

😁46😱173

21 Aug 2026, 15:03 UTC≈5,030 views56 reactionsread 22 August 2026
Photo

В Британии ИИ-секретарь EMMA не поняла йоркширский акцент — пациенты бросают трубки и идут в поликлинику пешком В поликлиниках Ротерема (Саут-Йоркшир) внедрили ИИ-секретаря EMMA от стартапа QuantumLoopAI. Система должна была решить проблему с дозвонами, отвечая мгновенно на 17 языках . Однако местные жители с «широким йоркширским акцентом» столкнулись с тем, что бот их не понимает — он либо зависал, либо говорил что

😁479

21 Aug 2026, 14:03 UTC≈5,270 views115 reactionsread 22 August 2026
Photo

Ну хоть вежливо...

😁1086🤔1

21 Aug 2026, 13:05 UTC≈6,000 views98 reactionsread 22 August 2026
Video

Нейросети показали, как бы сложилась судьба Колобка Call of Block, если бы он родился в Гарлеме.

😁82😱8🔥6👍2

21 Aug 2026, 12:00 UTC≈5,660 views67 reactionsread 22 August 2026
Photo

ЦРУ тайно спасло компьютерную компанию NeXT Стива Джобса от банкротства в 1980-х, заказав до 20 тысяч компьютеров, пишет Wall Street Journal. Благодаря этому NeXT выжила, а позже была куплена Apple — сделка вернула Джобса в компанию. WSJ называет это «скрытым долгом Apple перед ЦРУ»

😁53🤔112🔥1

Showing the 12 most recent of 184 posts we hold for @Scienceg. 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

@Scienceg edited 1 post 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
13 August 2026
Most recent edit
13 August 2026

Citation-graph rank

Citation-graph rank — 41,121 of 1,581,209entries 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.

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.

Mentions

Named by 8 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.

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.

Эксплойт
@exploitex · 2,063,697
#1
Лепра
@Lepragram · 342,258
#2
MDK
@mudak · 537,877
#3
Reddit
@Reddit · 163,263
#4
Rozetked
@rozetked · 675,601
#5
Бэкдор
@whackdoor · 1,638,591
#6
Yaplakal.com
@yaplakal · 423,019
#7
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,076,375
#8
4chan
@ru4chan · 163,588
#9
4ch
@why4ch · 1,059,044
#10
Москвач • Новости Москвы
@moscowach · 4,302,477
#11
Big Geek
@biggeekru · 562,171
#12
Сегодня в тренде
@trends · 1,101,924
#13
Рифмы и Панчи 🤯
@rhymestg · 1,408,397
#14
1337
@media1337 · 1,177,751
#15
NN
@naebnet · 2,184,935
#16
Не баг, а фича
@bugnotfeature · 924,204
#17
Рестарт
@remedia · 724,125
#18
TrendWatching
@trendwatching24 · 1,499,667
#19
ТОПЛЕС
@toplesofficial · 520,428
#20
Клиент всегда прав
@klientvsprav · 1,082,443
#21
Programmer & IT Memes
@itmemes · 124,397
#22
808
@rbtshki · 202,600
#23
НМШ
@nmshhub · 715,970
#24
Не баг, а фича
@bugfeature · 588,699
#25
Мой Компьютер
@mknewsru · 208,930
#26
Ты в тренде или уходи
@trendsetter · 1,334,389
#27
Романцев768 | Romancev768
@Romancev768 · 754,562
#28
КБ
@cbpub · 636,594
#29
КБ. экономика
@cb_economics · 344,104
#30
КБ. Игры
@cb_games · 384,354
#31
Двач
@dvachannel · 937,860
#32
Mash
@mash · 3,109,815
#33
Другая История
@historyzx · 40,821
#34
Раньше всех. Ну почти.
@bbbreaking · 1,971,898
#35
Пекарня
@pekagame · 1,099,261
#36
Ньюсач/Двач
@ru2ch · 637,687
#37
Лентач
@oldlentach · 262,873
#38
Пикабу
@pikabu · 256,769
#39
Новости Москвы
@moscowmap · 2,711,433
#40
r/ретранслятор
@retra · 165,322
#41
Лентач
@lentachold · 383,142
#42
Прямой Эфир • Новости
@novosti_efir · 4,013,481
#43
Ateo Breaking
@ateobreaking · 646,954
#44
VG/Двач
@ru2chvg · 180,975
#45
Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,676,884
#46
Медуза — LIVE
@meduzalive · 1,114,177
#47
Код.ру
@d_code · 385,265
#48
Naked Science
@nsmag · 193,430
#49
Readovka
@readovkanews · 2,013,693
#50
Банкста
@banksta · 437,438
#51
Анатолий Шарий
@asupersharij · 1,663,602
#52
SHOT
@shot_shot · 1,259,965
#53
ЖЮ 🧡 Videos
@lifeyt · 331,820
#54
Мир PlayStation
@world_playstation · 308,726
#55
Артемий Лебедев
@temalebedev · 969,369
#56
КОНТЕКСТ
@kontext_channel · 829,800
#57
ЕЖ
@ejdailyru · 639,346
#58
Бладсикер 2.0
@bIoodsiker · 212,681
#59
Алексей Шевцов
@jolybells · 359,422
#60
Сталингулаг
@stalin_gulag · 302,334
#61
CherevatBlog
@cherevatstreams · 151,374
#62
Tynu40k Goblina (oper.ru)
@oper_goblin · 496,739
#63
ТОПОР - Горячие новости
@topor · 1,295,675
#64
НЕВЗОРОВ
@nevzorovtv · 1,005,333
#65
Операция Z: Военкоры Русской Весны
@rvvoenkor · 1,462,769
#66
NEXTA Live
@nexta_live · 759,995
#67
IT Юмор
@ithumor · 60,678
#68
Новости Кошелька
@cryptowallet_news_cis · 1,147,547
#69
[BadComedian]
@TheBadComedian · 600,504
#70
СТАС БОМБИТ
@ikakprosto · 329,086
#71
Первый Московский
@mosguru · 3,214,710
#72
Тайны Космоса 🔭
@mycosmos · 131,991
#73
Банки, деньги, два офшора
@bankrollo · 452,187
#74
Бумажный самолётик
@paperpublic · 42,357
#75
Москва Live
@msk_live · 1,817,555
#76
INSIDER UA
@insiderukr · 2,185,377
#77
Мемобу
@pikabu_fun · 42,625
#78
Marvel / DC: Geek Movies
@marvel4 · 213,071
#79
Baza
@bazabazon · 1,542,133
#80
Varlamov News
@varlamov_news · 1,052,477
#81
Colonelcassad
@boris_rozhin · 742,044
#82
Осторожно, новости
@ostorozhno_novosti · 1,611,078
#83
Fighterbomber
@bomber_fighter · 518,666
#84
Кинопоиск | Фильмы, сериалы, аниме и спорт
@kinopoisk · 813,176
#85
РБК. Новости. Главное
@rbc_news · 903,483
#86
Кровавая барыня
@bloodysx · 1,154,553
#87
Дудь
@yurydud · 840,583
#88
Дмитрий Медведев
@medvedev_telegram · 1,713,548
#89

Read from Telegram’s recommendation API, most recently 16 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.

Kosmos Time | Наука | Физика
@kosmostime · 63,766
Telegram ranks this channel #42 of 93 here — alongside 92 others — read 21 August 2026
Тайны Космоса 🔭
@mycosmos · 131,991
Telegram ranks this channel #42 of 91 here — alongside 90 others — read 13 August 2026
КБ. Игры
@cb_games · 384,354
Telegram ranks this channel #46 of 87 here — alongside 86 others — read 10 August 2026
КБ. экономика
@cb_economics · 344,104
Telegram ranks this channel #58 of 87 here — alongside 86 others — read 10 August 2026
Наука и факты
@FactTG · 205,686
Telegram ranks this channel #61 of 87 here — alongside 86 others — read 11 August 2026
КБ
@cbpub · 636,594
Telegram ranks this channel #74 of 88 here — alongside 87 others — read 8 August 2026
Marvel / DC: Geek Movies
@marvel4 · 213,071
Telegram ranks this channel #77 of 94 here — alongside 93 others — read 11 August 2026

This channel appears in 7 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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“Промпт - Наука и Техника” (@Scienceg), 94,746 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/Scienceg.

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.