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Channel

Проекты Дробышевского

@fondnauk

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

15,130subscribers

-85 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001293165876
TypeChannel
Username@fondnauk
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/fondnauk

Topic

Education — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 79% 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.

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. They sit inside a group of 3 channels that share the same post bodies with each other. 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@fondnauk/9449 · this entry31 Jul 2026, 14:39 UTC@hotylevo/49031 Jul 2026, 14:39 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@hotylevo6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (5–1)

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 16 comparable posts for this entry, running 31 July 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 3, the earliest publisher we hold is @fondnauk — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, 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 2 other registered channels, 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.

Growth

15,12115,23715,17915,1306 August 20266 November 2026
61 measurements spanning 93 days, net -85. 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 15,104–15,254 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
6 Nov 2026, 21:2615,130-1
6 Nov 2026, 00:1015,131+2
5 Nov 2026, 00:5915,129+1
4 Nov 2026, 01:3815,128+6
3 Nov 2026, 02:2015,122-1
1 Nov 2026, 23:0815,123-1
31 Oct 2026, 23:5515,124+3
30 Oct 2026, 22:5515,121-5
29 Oct 2026, 23:3915,126-4
28 Oct 2026, 22:4615,130-11
28 Oct 2026, 00:2915,141+2
26 Oct 2026, 23:0515,139-3
25 Oct 2026, 20:3615,142-4
24 Oct 2026, 23:3615,146+1
24 Oct 2026, 01:0015,145-7
23 Oct 2026, 02:4615,152-1
22 Oct 2026, 02:1015,153-8
20 Oct 2026, 18:2015,161-3
19 Oct 2026, 17:4515,164-7
18 Oct 2026, 16:4115,171first reading

Engagement

141 posts held, back to 31 July 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 62 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.50%
avg views ÷ 15,130 subscribers
Avg views / post
530
23 posts measured
Reaction rate
3.83%
reactions ÷ views · ER floor
Posts in window
23
of 141 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 6 November 2026
Posts held141 (31 July 2026 – 6 November 2026)
Views total12,179
Reactions total467
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 17:35 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

Video runtime
1h 13m
Average length
1m 50s

Measured directly from 40 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

2,781 reactions across 134 posts, in 25 distinct kinds. The most used accounts for 44.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,22644.1%
🔥74426.8%
❤44416.0%
👏1354.85%
🎉762.73%
❤‍🔥321.15%
🤔311.11%
🍾190.683%
💯100.36%
😁100.36%
👀90.324%
🗿90.324%
👌70.252%
🤝60.216%
🥰50.18%
⚡40.144%
🤯30.108%
🆒20.072%
😐20.072%
🙏20.072%
5 further kinds50.18%

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 135 of the 141 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 2,818 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 141 most recent posts we hold, published 31 July 2026 to 6 November 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
2
across the posts below
Posts paid on
2
of 135 we hold a reading for · 1%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fondnauk. 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 141 most recent posts we hold for this entry, published 31 July 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 2 of 23 posts held from the last 30 days (8.70%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 17:17 UTC98 views8 reactionsread 6 November 2026
Photo

9 ноября 2026 г. команда АНО «Проекты Дробышевского» приглашает историков, представителей историко-просветительских организаций, педагогов, исследователей, музейных специалистов и авторов образовательных проектов на общественную конференцию в Москве «День Нестора Летописца: традиции и будущее исторического просвещения»! Когда: 9 ноября 2026 года, с 11:00 до 14:00. Где: НИУ ВШЭ, Москва, Покровский бульвар, дом 11. …

👍3🔥3🤔1🆒1

6 Nov 2026, 13:59 UTC402 views25 reactionsread 6 November 2026
Photo

🦖 Нас поймали на нарушении геохронологии. Внимательные подписчики заметили, что на нашей футболке «Юрский период» изображён тираннозавр. А тираннозавр, между прочим, жил в меловом периоде. Когда он появился, юрский закончился уже почти 80 миллионов лет назад. Как наш тираннозавр оказался в юрском периоде? Видимо, очень хотел попасть на футболку. Пришлось отправить его на 80 миллионов лет в прошлое. Впрочем, табли…

🔥11❤4👍4😁3❤‍🔥2👏1

6 Nov 2026, 13:15 UTC347 views14 reactionsread 6 November 2026
Video

🌿 КООПЕРАЦИЯ для нового ПРОЕКТА Станислава Дробышевского - создание ПЕРВОЙ в России выставки наскальной живописи бушменов ЮАР! ПРИСОЕДИНЯЙСЯ! 📍В январе 2025 г. состоялась исследовательская экспедиции команды учёных АНО «Проекты Дробышевского» во главе со Станиславом Владимировичем Были обнаружены десятки новых уникальных рисунков бушменов, ранее НЕ ИЗВЕСТНЫХ науке! 📍19 октября 2026 г. состоялся закрытый показ - ПРЕ…

👍6🔥5👏2❤1

6 Nov 2026, 12:51 UTC362 views12 reactionsread 6 November 2026
Forwarded from @DSCSproAIPhoto

📰 Дайджест новостей в сфере ИИ и науки: собрали главные инфоповоды недели Кибератаку на российскую компанию провели ИИ-агенты, ИИ-система OpenAI нашла 948 уязвимостей в ядре Linux, а на окраине Парижа раскопали статую-менгир весом почти 10 тонн. Что еще произошло в мире ИИ и науки на этой неделе, читайте в нашем дайджесте! 🇷🇺 В России Главным по ИИ может стать Минцифры: проект постановления о координации внедрения…

🔥6👍4🤔2

6 Nov 2026, 12:12 UTC460 views40 reactionsread 6 November 2026
Photo

Ксения Николаевна Степанова, член команды АНО «Проекты Дробышевского», кандидат исторических наук и старший научный сотрудник Института истории материальной культуры РАН (г. Санкт-Петербург) находится в Китае на Международном семинаре по древним костяным технологиям (International Workshop on Ancient Bone Technology), который проходит с 4 по 11 ноября 2026 г. в Школе археологии Цзилиньского университета (Чанчунь, Кит…

🔥20👍11👏5❤‍🔥3💘1

5 Nov 2026, 20:18 UTC627 views21 reactionsread 6 November 2026
Forwarded from @Kirei_Mirei_JapanPhoto

Друзья, всем привет! Наконец-то долгожданная ссылка на событие! Приходим 11 ноября на проспект мира 40, радуемся, узнаем новое!🐇 Покупаем билеты: https://fondnauk.timepad.ru/event/4289604/ Aya Mirei YouTube Я - лектор #ПроектыДробышевского #Japan #Япония

👍14❤3👏2🤔1😁1

4 Nov 2026, 18:46 UTC814 views30 reactionsread 6 November 2026
Forwarded from @drobishevskibryanskPhoto

Игорь Александрович Власенко, директор АНО «Проекты Дробышевского», и команда Центра Дробышевского в Брянске побывали в гостях в детском технопарке «Кванториум». Послушали наставника Биоквантума и лектора Центра Дробышевского Глеба Михайловича Игнатьичева о том, как превратить страх сцены в энергию, удержать внимание скептиков и говорить о сложном просто. Мощно и очень полезно! Врио директора ГАУ ДО «Детский техноп…

👍13🔥10❤5👏2

4 Nov 2026, 15:49 UTC604 views16 reactionsread 6 November 2026
Forwarded from @drobishevskibryanskPhoto

Центр популяризации науки в Брянске АНО «Проекты Дробышевского». Актуальное расписание мероприятий: • 6 ноября в 19:00 Юрий Подгорный Мафия Брянск, Союзная улица, 4 , «Бойл» Билеты ⬅️ • 10 ноября в 19:00 Юрий Подгорный Игротека БУНКЕР Брянск, Союзная улица, 4 , «Бойл» Билеты ⬅️ • 13 ноября в 19:00 Марина Агафонова и Ольга Карпенюк Отношения с ИИ Брянск, пр-т Ленина, 39, гостиница «Десна», цоколь (вход через кафе …

👍7❤4🔥3👏1🤔1

4 Nov 2026, 15:43 UTC540 views21 reactionsread 6 November 2026
Video

📍Станислав Дробышевский о создании ПЕРВОЙ в России выставки наскальной живописи бушменов ЮАР! 🌿 Донаты на проекты Станислава Дробышевского: - переводом на Сбер: 2202 2083 0956 1182 или в ТБанк по тел. +7(927)783-42-04 (Власенко Нина Дмитриевна); - ПОДПИСКОЙ на Boosty: https://boosty.to/fondnauk/purchase/2262055?ssource=DIRECT&share=subscription_link Живи умнее! С нами ты идёшь туда, куда надо тебе!

🔥10👍5⚡3❤2👏1

4 Nov 2026, 13:00 UTC290 views17 reactionsread 6 November 2026
Photo

Деньги делают нас счастливее? Ваш опыт vs. наука Ждем вас на практической встрече клуба «Время» в Центре популяризации науки Движения Дробышевского в Москве! 📅 7 ноября (суббота) ⏰ 16:00–18:00 📍 Офлайн/онлайн формат Представьте, что завтра у вас станет в два раза больше денег. Вы станете счастливее? А если их станет в десять раз больше? Кажется очевидным, что деньги делают жизнь лучше. Но почему тогда одни люди с…

👍8🤔3❤2👏2🔥2

4 Nov 2026, 12:03 UTC367 views18 reactionsread 6 November 2026
Video

«Кто на самом деле управляет вами?». Приглашаем на лекции Ивана Дёмина в рамках курса «Общая психология и основы психотерапии» в Центре популяризации науки Движения Дробышевского в Москве! 📅 6 ноября (пятница) ⏰ 19:00–21:00 📍 Офлайн/Онлайн формат Окружающий мир формирует нас. Но какая часть того, что он в нас сформировал, вообще доступна нашему сознанию? На прошлой встрече мы говорили о том, как культура и окруж…

👍9❤5👏2🤔2

4 Nov 2026, 10:57 UTC610 views18 reactionsread 6 November 2026
Forwarded from @frolkina_rechPhoto

Почему у одних народов заяц ассоциируется с чёртом, а у других - он символ Пасхи? Пришла пора взглянуть на косого ясными глазами и выяснить: 🔸 откуда у русских примета, что заяц на дороге - к беде? 🔸 почему манси делают из заячьей шкурки подушечки только для детей? 🔸 как у татар заяц стал проводником к сокровищам? 🔸И почему души селькупов на тот свет отводит именно заяц... Но это ещё не всё! Мы собрались... целой …

👍9🔥5❤3👏1

Showing the 12 most recent of 141 posts we hold for @fondnauk. 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 recorded as deleted after publishing

We recorded 1 post on @fondnauk as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
21 August 2026
Most recent seen missing
21 August 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
0

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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@drobishevskibryansk · 519
28 posts
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@Kirei_Mirei_Japan · 289
6 posts
DSCS.pro
@DSCSproAI · 975
5 posts
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@strannik_satanovsky · 9,040
5 posts
Владимир Алипов
@alipov_shorts · 40,608
3 posts
Идейный Археолог Василий Новиков
@archeoprivate · 11,426
3 posts
Все началось в палеолите
@ex_ex_rsf · 577
2 posts
Frolkina_rech
@frolkina_rech · 1,464
2 posts
Научный Центр «Хотылёво»
@hotylevo · 315
2 posts
Институт археологии РАН
@instarchaeolog · 5,461
2 posts
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@vsapryka · 397
2 posts
Античный Код Сергея Прокопенко
@antique_code · 377
1 post
Центр Архэ
@arhecenter · 4,166
1 post
ФАНК
@csffest · 1,390
1 post
ТОТ историк - Власенко Игорь
@iavlasenko7 · 236
1 post
IGEEK
@igeekgeek · 5
1 post
Археология с ИИМК РАН
@iimk_ran · 1,718
1 post
Костёнки Крю
@kostenki_crew · 348
1 post
Археологи у пирамид: Древний Египет и Судан
@nile_valley · 41,469
1 post
Her story. Гендерная история
@shistory_gender · 26
1 post

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 12 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.

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.

АНТРОПОГЕНЕЗ.RU
@antropogenez_ru · 36,578
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 1 September 2026
Неземной телеграм / Астроном Сурдин
@nezemnoy_telegram · 96,796
Telegram ranks this channel #40 of 96 here — alongside 95 others — read 16 August 2026
Смотровая Военврача
@dr_voenvrach · 45,360
Telegram ranks this channel #72 of 98 here — alongside 97 others — read 28 August 2026
Вселенная Плюс
@vselennayaplus · 83,714
Telegram ranks this channel #72 of 95 here — alongside 94 others — read 18 August 2026

This channel appears in 4 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Проекты Дробышевского” (@fondnauk), 15,130 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/fondnauk.

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.