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Channel

Fun Science

@funscience

2 usernames

On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

34,428subscribers

-182 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-1001052967338
TypeChannel
Usernames@funscience @scivideo
DescriptionЛичные заметки: Технологии, бизнес, наука и космос. Все что показалось интересным.
Created18 May 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live26 September 2026
Measurements held71
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/funscience

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 70% 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 от Funscience” — 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

34,37534,61034,492.534,4285 August 202626 September 2026
71 measurements spanning 52 days, net -182. 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 34,340–34,645 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 71
Measured (UTC)SubscribersChange
26 Sept 2026, 18:1634,428-6
25 Sept 2026, 19:2134,434+40
19 Sept 2026, 02:5834,394+2
17 Sept 2026, 12:1534,392-3
16 Sept 2026, 18:4034,395+17
15 Sept 2026, 12:3834,378+1
14 Sept 2026, 19:3834,377no change
13 Sept 2026, 22:1834,377-2
13 Sept 2026, 05:1534,379+4
12 Sept 2026, 06:5834,375-6
11 Sept 2026, 10:1534,381-6
9 Sept 2026, 23:3834,387-9
8 Sept 2026, 14:3734,396-5
6 Sept 2026, 18:1734,401-4
5 Sept 2026, 07:1934,405-3
4 Sept 2026, 09:1734,408-5
3 Sept 2026, 09:3434,413-5
2 Sept 2026, 21:1834,418-2
2 Sept 2026, 02:2334,420-1
1 Sept 2026, 17:0834,421first reading

Engagement

162 posts held, back to 29 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 88 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.09%
avg views ÷ 34,428 subscribers
Avg views / post
1,750
83 posts measured
Reaction rate
0.816%
reactions ÷ views · ER floor
Posts in window
83
of 162 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 81 of 83 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 September 2026
Posts held162 (29 July 2026 – 27 September 2026)
Views total145,582
Reactions total1,158
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 06:27 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
≈3,410
Videos
≈1,140
Links
≈2,700

Lifetime counters from Telegram’s own channel header, read 27 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
34m 59s
Average length
55s

Measured directly from 38 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

2,275 reactions across 155 posts, in 6 distinct kinds. The most used accounts for 34.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍79034.7%
😁59326.1%
👀38917.1%
⚡34615.2%
👎1255.49%
🕊321.41%

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 159 of the 162 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 2,331 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 162 most recent posts we hold, published 29 July 2026 to 27 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
3
across the posts below
Posts paid on
3
of 162 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @funscience. 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 162 most recent posts we hold for this entry, published 29 July 2026 to 27 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.

Recent posts

27 Sept 2026, 05:45 UTC253 views4 reactionsread 27 September 2026
Forwarded from @tsingularVideo

NVIDIA выпустила трёхмерную модель для разбора КТ 🩻 NVIDIA вместе с Национальным институтом рака NIH и Цюрихским университетом выложили NV-Reason-CT, модель, которая читает КТ-объём целиком и делает заключение с разъяснениями. ⚙️ Механика: языковая модель Qwen3.5-4B соединена с трёхмерным визуальным кодировщиком Primus. Объём 384 на 384 на 384 миллиметра превращается в решётку 24 на 24 на 24, это 13 824 визуальных …

👍4

26 Sept 2026, 16:52 UTC≈1,020 views26 reactionsread 27 September 2026
Forwarded from @exploitexVideo

Никто: Абсолютно никто: Сталоне в 80 лет: Хейтеры скажут, что ИИ. @exploitex

👍12😁11👎3

26 Sept 2026, 10:09 UTC≈1,210 views10 reactionsread 27 September 2026

Posted without readable text

👍6👀2⚡1😁1

25 Sept 2026, 11:54 UTC≈1,640 views3 reactionsread 27 September 2026
Forwarded from @htech_plusPhoto

Робособака пробежала марафон без подзарядки и обошла человека по энергоэффективности Четвероногий робот RAIBO2, разработанный исследователями Южнокорейского передового института науки и технологий (KAIST), пробежал марафон на одном заряде батареи. Он преодолел 42,195 км за 4 часа 19 минут 52 секунды со средней скоростью 2,64 м/с, потратив 60% емкости батареи. Инженеры оптимизировали конструкцию ног, а робот научился…

😁3

25 Sept 2026, 08:12 UTC≈1,580 views12 reactionsread 27 September 2026

🪐 Астрономы фактически сфотографировали, как строится планета Теорию рождения планет мы знаем давно: вокруг молодой звезды вращается гигантский диск газа и пыли → вещество собирается в сгустки → постепенно появляется планета. Проблема была небольшая. Сам процесс практически никто не видел. Теперь астрономы направили ALMA на систему WISPIT 2 в 430 световых годах от нас и увидели молодую планету WISPIT 2b — газово…

⚡10👀1👍1

25 Sept 2026, 06:57 UTC≈1,470 views13 reactionsread 27 September 2026
Forwarded from @turboprojectVideo

Для понимания, как на практике ведётся обучение студентов создавать LLM. В КНР преподают студентам сами авторы передовых LLM. На видео один из авторов GLM профессор Тан Цзе ведёт обычный университетский курс в Цинхуа — Advanced Machine Learning. Это новый набор студентов, стартовавший 16 сентября. На лекции Тан Цзе рассказал студентам, что «битва за чат уже закончена» и что их дело — делать агентов: просто чаты с ИИ…

👀9👍3👎1

24 Sept 2026, 08:08 UTC≈2,110 views20 reactionsread 27 September 2026

🧬 ИИ, похоже, впервые самостоятельно нашёл новую биологическую систему Не пересказал статью. Не ответил на вопрос биолога. А полез в огромную базу ДНК и заметил там то, чего до него, судя по всему, никто не замечал. Учёные поставили Claude довольно общую задачу: поискать необычные обратные транскриптазы — ферменты, копирующие РНК в ДНК. Дальше около 950 ИИ-агентов за 21 час перебрали более 200 000 ферментов. И …

👍17⚡2👀1

22 Sept 2026, 06:55 UTC≈2,140 views11 reactionsread 27 September 2026
Forwarded from @tsingularVideo

В принципе, когда все камеры мира будут писать с качеством из которого можно будет воссоздать подобную 3Д сцену, обычные фотографии устареют. Можно будет вернуться в любой момент времени, подобрать нужный ракурс, а нейронка достроит недостающее Автор: joergkahlhoefer #gaussian #splat #3D ------ @tsingular

👍6👎5

21 Sept 2026, 12:26 UTC≈2,180 views22 reactionsread 27 September 2026
Photo

Силуанов: Поговорим об искусственном интеллекте. Собянин: Когда денег нет, всегда говорят об ИИ. @bankrollo

😁18👍2👎2

Showing the 12 most recent of 162 posts we hold for @funscience. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

8 Sept 2026, 19:16 UTCAnonymous Poll183 voters

Вы слышали что-то про «AI Journey»?

  1. Да19%
  2. Нет81%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 162 most recent posts we hold, published 29 July 2026 to 27 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

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 7 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.

Naked Science
@nsmag · 191,658
#1
Раньше всех. Ну почти.
@bbbreaking · 1,974,402
#2
Тайны Космоса 🔭
@mycosmos · 130,881
#3
r/ретранслятор
@retra · 165,571
#4
N + 1
@nplusone · 64,455
#5
Denis Sexy IT 🤖
@denissexy · 137,325
#6
Rozetked
@rozetked · 656,361
#7
addmeto
@addmeto · 71,835
#8
Код.ру
@d_code · 406,147
#9
TechSparks
@techsparks · 46,603
#10
Хайтек+
@htech_plus · 64,280
#11
Лепра
@Lepragram · 341,971
#12
Space Room | Космос
@inSpaceRoom · 10,857
#13
Малоизвестное интересное
@theworldisnoteasy · 73,946
#14
Кот Шрёдингера
@kot_sh · 24,832
#15
Kosmos Time | Наука | Физика
@kosmostime · 63,555
#16
Пездуза
@pezduzalive · 372,470
#17
Промпт - Наука и Техника
@Scienceg · 94,484
#18
НАУКА ВСЕГДА КСТАТИ
@myatom_world · 2,941
#19
InGenium
@In_6enium · 1,088
#20
Futurecollector.com | Коллекционер будущего
@futurecollector · 1,321
#21
Хабр
@habr_com · 132,465
#22
Открытый космос
@ourspacelive · 3,807
#23
MDK
@mudak · 533,284
#24
Дух антрополога
@anthrospirit · 3,367
#25
vc.ru
@vcnews · 112,033
#26
НаукаPRO
@naukaproo · 9,212
#27
Neural Shit
@NeuralShit · 53,680
#28
Не баг, а фича
@bugfeature · 571,363
#29
Медицина просто | Эндоскопист Илья Квашенов
@kvashenov · 2,151
#30
TechInsider
@techinsiderru · 15,251
#31
Рациональные числа
@rationalnumbers · 25,698
#32
Наука и технологии
@nplus1 · 4,862
#33
Хайтек
@hightech_fm · 11,568
#34
Лаборатория Научных Видео
@ScienceVideoLab · 5,568
#35
Рестарт
@remedia · 698,207
#36
The Bell
@thebell_io · 105,282
#37
astronomy
@tirsky · 8,408
#38
Усы Пескова
@Sandymustache · 212,050
#39
Astro Channel
@astro_channel · 9,924
#40
Mash
@mash · 3,110,586
#41
Двач
@dvachannel · 938,773
#42
Медуза — LIVE
@meduzalive · 1,122,482
#43
Эксплойт
@exploitex · 2,048,279
#44
Банкста
@banksta · 438,371
#45
Лентач
@lentachold · 392,921
#46
Yaplakal.com
@yaplakal · 421,771
#47
Сталингулаг
@stalin_gulag · 300,733
#48
КОНТЕКСТ
@kontext_channel · 855,067
#49
Наука
@naukatv_ru · 23,591
#50
Пикабу
@pikabu · 255,824
#51
Бэкдор
@whackdoor · 1,603,481
#52
Артемий Лебедев
@temalebedev · 970,618
#53
ЕЖ
@ejdailyru · 671,042
#54
Colonelcassad
@boris_rozhin · 747,495
#55
Дудь
@yurydud · 862,341
#56
ЖЮ 🧡 Videos
@lifeyt · 330,253
#57
4chan
@ru4chan · 180,454
#58
Дабл Ять
@otsuka_bld · 160,444
#59
Лентач
@oldlentach · 261,008
#60
Экономика
@economika · 143,492
#61
BBC News | Русская служба
@bbcrussian · 387,211
#62
Космос просто
@cosmosprosto · 60,877
#63
Fighterbomber
@bomber_fighter · 527,032
#64
Студия «Дилетанты»
@diletantes · 939
#65
Мемы мирового правительства • Джо Чиз
@jocheez · 1,033
#66
Научпопки
@scipopus · 1,348
#67
Журнал НОЖ
@knifemedia · 101,812
#68
Ivan Lutz
@IvanLutz · 960
#69
НЕЗЫГАРЬ
@russicaru · 430,325
#70
Рафаэль и Ко.
@raffeisTG · 993
#71
АНТРОПОГЕНЕЗ.RU
@antropogenez_ru · 36,383
#72
Tynu40k Goblina (oper.ru)
@oper_goblin · 493,692
#73
SciTopus – Наука и научпоп
@SciTopus · 10,022
#74
Екатерина Шульман
@eschulmann · 303,343
#75
эйай ньюз
@ai_newz · 96,889
#76
[BadComedian]
@TheBadComedian · 605,674
#77
ПостНаука
@postnauka · 21,797
#78
Редакция.Наука
@redakciya_nauka · 31,883
#79
Макар Светлый
@makarsvet13 · 3,818
#80
Сергей Минаев
@minaevlife · 318,588
#81
Zanuda
@zanudascience · 1,945
#82
От приматов до автоматов
@otprimatovdoavtomatov · 867
#83
Fucking English | Английский 18+
@fuckingenglish · 312,495
#84
bitkogan
@bitkogan · 259,899
#85
СМТ — Научный подход | Борис Цацулин
@cmtscience · 8,684
#86
Осьмиарх Эльманн Павел II
@airshipsterpublic · 1,027
#87
Страдающее Средневековье
@pophistory · 140,393
#88
Землякова
@ozeml · 1,207
#89
Китайская угроза
@daokedao · 99,140
#90
Big Geek
@biggeekru · 581,535
#91
Nation Geographic
@NationGeographic · 325,560
#92
Улица Шкловского - Астрономия и Космонавтика
@ShklovskyStr · 19,116
#93
Baza
@bazabazon · 1,565,293
#94
Кинопоиск | Фильмы и сериалы
@kinopoisk · 804,634
#95
DTF
@dtfbest · 57,722
#96
Dankest Memes // Данкест Мемс
@thedankestmemes · 45,812
#97

Read from Telegram’s recommendation API, most recently 3 September 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.

Эпицентр знаний
@deepinterest · 46,958
Telegram ranks this channel #1 of 68 here — alongside 67 others — read 26 August 2026
Кот Шрёдингера
@kot_sh · 24,832
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 15 September 2026
Тайны Космоса 🔭
@mycosmos · 130,881
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 13 August 2026
Kosmos Time | Наука | Физика
@kosmostime · 63,555
Telegram ranks this channel #9 of 93 here — alongside 92 others — read 21 August 2026
involta - технологии, наука, будущее, IT, интернет!
@involta · 34,073
Telegram ranks this channel #10 of 89 here — alongside 88 others — read 3 September 2026
Vert Dider
@vertdider · 26,961
Telegram ranks this channel #13 of 96 here — alongside 95 others — read 11 September 2026
Химия – Просто
@ChemistryEasy · 25,167
Telegram ranks this channel #18 of 94 here — alongside 93 others — read 14 September 2026
Популярная механика ⚙️
@Popmeh · 30,780
Telegram ranks this channel #19 of 88 here — alongside 87 others — read 8 September 2026
Критическое мышление
@ThinkCritical · 47,236
Telegram ranks this channel #31 of 97 here — alongside 96 others — read 26 August 2026
Химики
@chemistrytg2021 · 32,020
Telegram ranks this channel #33 of 86 here — alongside 85 others — read 5 September 2026
Наука
@naukatv_ru · 23,591
Telegram ranks this channel #35 of 94 here — alongside 93 others — read 18 September 2026
КиберПанк | Технологии Будущего | Technology
@technology_future_cyberpunk · 37,246
Telegram ranks this channel #45 of 84 here — alongside 83 others — read 1 September 2026
По Фактам
@pofactam_tg · 121,957
Telegram ranks this channel #46 of 76 here — alongside 75 others — read 17 August 2026
Психология
@PsyEducation · 59,345
Telegram ranks this channel #47 of 95 here — alongside 94 others — read 22 August 2026
Книги и Аудиокниги | Флибуста
@skachat_chitat_besplatno · 89,949
Telegram ranks this channel #47 of 73 here — alongside 72 others — read 17 August 2026
Словарный запас | Саморазвитие
@slovar_psikhologia · 83,517
Telegram ranks this channel #49 of 91 here — alongside 90 others — read 18 August 2026
Книжное братство
@flibusta · 163,156
Telegram ranks this channel #51 of 94 here — alongside 93 others — read 12 August 2026
Must Read | Что почитать
@YourMustRead · 25,733
Telegram ranks this channel #53 of 73 here — alongside 72 others — read 13 September 2026
ПостНаука
@postnauka · 21,797
Telegram ranks this channel #55 of 99 here — alongside 98 others — read 23 September 2026
Сила Книги | Аудиокниги | Flibusta
@silaknigi · 122,977
Telegram ranks this channel #57 of 86 here — alongside 85 others — read 13 August 2026
Терабит: айти технологии
@tbite · 28,050
Telegram ranks this channel #59 of 85 here — alongside 84 others — read 9 September 2026
Английский язык 🇬🇧
@dailyeng · 73,206
Telegram ranks this channel #59 of 87 here — alongside 86 others — read 19 August 2026
Редакция.Наука
@redakciya_nauka · 31,883
Telegram ranks this channel #71 of 95 here — alongside 94 others — read 5 September 2026
Немецкая философия
@deutschephilosophiee · 27,829
Telegram ranks this channel #74 of 88 here — alongside 87 others — read 10 September 2026

This channel appears in 28 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.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Fun Science” (@funscience), 34,428 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/funscience.

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.