Йоп, Ян! Тут ты найдешь факты о самых разных вещах, которые нас окружают.
По коммерции и контенту: [email protected]
Личный тг-канал Яна: @yantoples_official
Регистрация в перечне РКН: https://rkn.link/NA2
Created
20 May 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Science — 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 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.
Growth
9 measurements spanning 8 days, net -2,655. 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 523,630–527,081 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 16:08
524,028
-349
12 Aug 2026, 16:04
524,377
-574
11 Aug 2026, 14:32
524,951
-228
10 Aug 2026, 16:06
525,179
-383
9 Aug 2026, 18:42
525,562
-335
8 Aug 2026, 15:02
525,897
-349
7 Aug 2026, 11:37
526,246
-305
6 Aug 2026, 10:31
526,551
-132
6 Aug 2026, 00:42
526,683
first reading
Engagement
30 posts held, back to 23 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 21 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
11.2%
avg views ÷ 524,028 subscribers
Avg views / post
58,500
29 posts measured
Reaction rate
2.53%
reactions ÷ views · ER floor
Posts in window
30
of 30 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 August 2026
Posts held
30 (23 July 2026 – 14 August 2026)
Views total
1,696,200
Reactions total
42,936
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Aug 2026, 18:13 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
≈2,300
Videos
≈441
Links
≈3,590
Lifetime counters from Telegram’s own channel header, read 14 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
1m 18s
Average length
39s
Measured directly from 2 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
25,987 reactions across 21 posts, in 14 distinct kinds. The most used accounts for 57.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
14,863
57.2%
🎃
2,141
8.24%
custom 5372951839018850336
1,981
7.62%
🤯
1,584
6.10%
🗿
1,561
6.01%
😢
809
3.11%
😇
742
2.86%
💅
736
2.83%
⚡
417
1.60%
👀
387
1.49%
🌚
371
1.43%
💊
189
0.727%
custom 5467406098367521267
184
0.708%
🐳
22
0.085%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 29 of the 30 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 42,936reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 23 July 2026 to 14 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
64
across the posts below
Posts paid on
12
of 29 we hold a reading for · 41%
Most on one post
24
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @toplesofficial. 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 30 most recent posts we hold for this entry, published 23 July 2026 to 14 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.
Кажется, с тараканами происходит очень много странных вещей просто потому что людям их не жалко.
Сначала ученые из Сингапура сделали тараканов-киборгов, а теперь они надели на них водолазные костюмы. «Скафандры» тараканов вырабатывают кислород благодаря химической реакции, хватает на 3 часа. А сами тараканы в это время управляются дистанционно, как роботы.
Зачем? Для исследований под водой и даже на Марсе в будущем…
Возможно, кто-то из наших подписчиков успел вчера посмотреть на полное солнечное затмение! Его наблюдали в Гренландии, Исланди, Португалии, Испании и на Таймыре.
Обязательно отпишитесь в комментарии, если видели! А для остальных мы принесли фотоотчет.
Вчера вышел наш второй ТОПКАСТ, в котором мы обсудили протезы, нейроимпланты и вообще технологии, которые могут не только замещать потерянные функции человека, но и улучшать то, что уже есть.
А какую модификацию вы бы хотели себе? Третью руку или дополнительный палец? Может, хвост или нейрочип? Делитесь в комментариях!
Осторожно, в этом посте могут быть… спойлеры по «Магической битве»!
Прошло уже почти три года с того момента, как Годжо Сатору запечатали в аниме. Пока те, кто смотрит аниме, продолжают ждать, когда же сильнейшего мага распечатают, а те, кто читал мангу, уже ни во что не верят и ничего не ждут, студенты Оксфорда пишут целые эссе по математике в основе техники Годжо.
В этом эссе объяснили парадокс Ахиллеса и черепах…
БИОНИЧЕСКИЕ ПРОТЕЗЫ vs ПЕРЕСАДКА РУК – ТОПКАСТ. ПОДКАСТ от ТОПЛЕС
Во втором выпуске у нас сразу два гостя:
• Костя Дебликов — главный популяризатор бионических протезов в России
• Георгий Носов — кандидат биологических наук, научный сотрудник Федерального центра мозга и нейротехнологий ФМБА России и Научного центра LIFT
Говорим о том, почему современные протезы все еще далеки от киберпанка, в каких ситуациях они уже…
Обратный отсчет до ВЫХОДА НОВОГО ТОПКАСТА
Мы уже загрузили новый выпуск нашего подкаста на YouTube-канал ТОПКАСТА и ждем, пока он обработается. Как только это произойдет, сразу откроем его и пришлем вам уведомление, так что включайте их!
В новом ТОПКАСТЕ мы дополним тему предыдущего выпуска ТОПЛЕС — про пересадку головы. Мы поговорим о бионических протезах и нейроинтерфейсах: на что они способны уже сейчас и когда …
Когда вы нажимаете на кнопку затвора, телефон НЕ делает фото
Факт, о котором вы вряд ли задумывались. На самом деле, телефон делает фотки постоянно еще с того момента, как вы открыли камеру. И именно эти снимки он показывает вам на экране, пока вы ищите лучший ракурс.
А когда вы нажимаете на кнопку затвора, камера просто сохраняет уже готовые снимки из прошлого! Те, которые показывала вам на экране еще до нажатия н…
Как думаете, чем занимаются в этом здании? Правильно, в этом доме находится Национальный совет по развитию рыболовства Индии. А как вы догадались?
Этот дом в виде пухлой рыбы на плане выглядел совершенно иначе. Но вместо крутой футуристичной рыбы получилась просто забавная.
А вам какая рыба больше по душе?
♥️ — Ожидание
🗿 — Реальность
Показываем варианты оформления новых евро! Проголосовать можно по этой ссылке, а у нас можно просто выразить свое общее восхижение или недовольство:
♥️ — Очень симпатично!
😢 — А мне кажется не честно, что конкретные люди и здания из одних стран представлены, а из других нет
🗿 — А мне просто не нравится
Он уже давно умер, но продолжает доставлять нам неудобства…
Этого неандертальца мы называем Альтамурским человеком, его нашли в Италии еще в 1993 году. Скелет отлично сохранился и из-за этого очень ценен для археологов, вот только весь он настолько сильно зарос пещерным попкорном, что изучать его, мягко говоря, непросто.
Пещерный попкорн — это что-то вроде маленьких сталагмитов из кальцита или других минералов. Обр…
Новый ТОПКАСТ уже во ВТОРНИК!
Продолжаем разговор из выпуска о пересадке головы: на этот раз обсудим импланты и протезы с Костей Дебликовым, который больше 10 лет рассказывает о бионических протезах, и нейробиологом Георгием Носовым. Мы уже рассказывали о них подробнее в этом посте.
Обязательно к просмотру всем, кто планирует стать киборгом! А если не планировали — тем более. Вам нужно понимать, к чему готовиться в…
ЧТО ПРОИЗОШЛО В 1971 ГОДУ?
Смотрите, это столько графиков из разных сфер, сколько телеграм позволяет нам прикрепить. По этой ссылке будет больше. Вам не обязательно их подробно изучать, можете просто заметить, что на каждом из них есть резкое изменение в 1971 году.
Как вы думаете, почему? Что такого особенного в 1971 году произошло?
❤372🤯84⚡25🗿21custom 537295183901885033612😢4
Showing the 12 most recent of 30 posts we hold for @toplesofficial. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 59,291 of 1,340,412entries 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.
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 5 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 9 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.
Naked Science @nsmag · 193,782 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 11 August 2026
BIOMACHINE @bmchn · 175,022 Telegram ranks this channel #5 of 77 here — alongside 76 others — read 12 August 2026
Dzari @DrDzari · 269,813 Telegram ranks this channel #6 of 89 here — alongside 88 others — read 10 August 2026
Marmok_yt @marmok_yt · 479,729 Telegram ranks this channel #8 of 82 here — alongside 81 others — read 10 August 2026
Utopia Show @topapopa · 370,019 Telegram ranks this channel #9 of 73 here — alongside 72 others — read 10 August 2026
Лекториум @lektorium20 · 115,964 Telegram ranks this channel #14 of 96 here — alongside 95 others — read 14 August 2026
Тайны Космоса 🔭 @mycosmos · 132,135 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 13 August 2026
Share @sharemed · 223,673 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 11 August 2026
808 @rbtshki · 207,512 Telegram ranks this channel #20 of 93 here — alongside 92 others — read 11 August 2026
Skyeng: Английский для жизни @skyengweekly · 128,655 Telegram ranks this channel #21 of 87 here — alongside 86 others — read 13 August 2026
The Люди. Лядов @Theludi1 · 140,918 Telegram ranks this channel #22 of 93 here — alongside 92 others — read 13 August 2026
ХарчевниковИлита @kharchevnikov · 119,070 Telegram ranks this channel #24 of 87 here — alongside 86 others — read 14 August 2026
ТЕХНО: Яндекс про технологии @techno_yandex · 233,352 Telegram ranks this channel #25 of 96 here — alongside 95 others — read 11 August 2026
JOHAN @JOHAN_telega · 159,799 Telegram ranks this channel #31 of 77 here — alongside 76 others — read 12 August 2026
UsachevRuslan @usachevruslan · 201,195 Telegram ranks this channel #33 of 86 here — alongside 85 others — read 11 August 2026
Москоуавто @moscowauto · 205,080 Telegram ranks this channel #34 of 86 here — alongside 85 others — read 11 August 2026
Злой Крастер @angrycrust · 124,288 Telegram ranks this channel #35 of 83 here — alongside 82 others — read 13 August 2026
Rozetked @rozetked · 666,753 Telegram ranks this channel #38 of 92 here — alongside 91 others — read 8 August 2026
sndk @sndkgram · 353,548 Telegram ranks this channel #39 of 81 here — alongside 80 others — read 10 August 2026
Погнали! | Стас Натанзон @pognaliofficial · 143,282 Telegram ranks this channel #45 of 87 here — alongside 86 others — read 13 August 2026
в IT и выйти @techmedia · 1,390,728 Telegram ranks this channel #51 of 91 here — alongside 90 others — read 8 August 2026
ВИЛСАКОМ РЕД / WYLSACOM RED @wylsared · 1,084,273 Telegram ranks this channel #52 of 94 here — alongside 93 others — read 8 August 2026
Сегодня в тренде @trends · 1,107,664 Telegram ranks this channel #54 of 93 here — alongside 92 others — read 8 August 2026
Дюшес @duchess_official · 285,253 Telegram ranks this channel #55 of 73 here — alongside 72 others — read 10 August 2026
This channel appears in 43 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
6 domainsthis 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 Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“ТОПЛЕС” (@toplesofficial), 524,028 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/toplesofficial.
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.