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Малоизвестное интересное

@theworldisnoteasy

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

74,331subscribers

+392 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-1001090966837
TypeChannel
Username@theworldisnoteasy
DescriptionАвторский взгляд через призму новейших исследований на наше понимание реальности, человеческой сущности и того, как ИИ меняет их. Зарегистрирован в РКН. Зеркало канала - https://dzen.ru/the_world_is_not_easy Рекламы и ВП в канале нет. Пишите на @karelovs
Created14 October 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/theworldisnoteasy

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 95% 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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@theworldisnoteasy/2518 · this entry10 Aug 2026, 11:19 UTC@F_S_C_P/12249610 Aug 2026, 14:45 UTC0.993.4 hours
@theworldisnoteasy/2519 · this entry17 Aug 2026, 09:12 UTC@F_S_C_P/12265717 Aug 2026, 22:45 UTC0.9914 hours
@theworldisnoteasy/2520 · this entry19 Aug 2026, 15:51 UTC@F_S_C_P/12269319 Aug 2026, 19:31 UTC0.993.7 hours
@theworldisnoteasy/2523 · this entry24 Aug 2026, 19:00 UTC@F_S_C_P/12281025 Aug 2026, 09:06 UTC0.9914 hours
@theworldisnoteasy/2517 · this entry8 Aug 2026, 14:52 UTC@F_S_C_P/1224508 Aug 2026, 19:53 UTC0.995.0 hours
@theworldisnoteasy/2559 · this entry6 Nov 2026, 12:12 UTC@F_S_C_P/1246108 Nov 2026, 10:27 UTC0.9946 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@F_S_C_P6 (6/6 hand-verifiable sample passed)0.999.3 hoursthis entry (6–0)

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 66 comparable posts for this entry, running 27 June 2026 to 11 November 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @theworldisnoteasy — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 12 November 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

73,91674,33174,123.55 August 202612 November 2026
65 measurements spanning 98 days, net +392. 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 73,854–74,393 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
12 Nov 2026, 05:0174,331+33
10 Nov 2026, 08:1174,298+2
8 Nov 2026, 16:5574,296+38
7 Nov 2026, 08:2074,258+18
6 Nov 2026, 05:2174,240-6
5 Nov 2026, 01:0974,246+9
4 Nov 2026, 01:2574,237+15
3 Nov 2026, 00:3074,222-18
1 Nov 2026, 22:1674,240+6
31 Oct 2026, 19:2174,234+1
30 Oct 2026, 21:3474,233+21
29 Oct 2026, 21:1874,212+2
28 Oct 2026, 22:0774,210+30
27 Oct 2026, 19:1674,180+18
26 Oct 2026, 19:4674,162+3
25 Oct 2026, 16:2974,159+25
24 Oct 2026, 18:5974,134-1
23 Oct 2026, 19:2674,135+1
22 Oct 2026, 22:1974,134+28
21 Oct 2026, 21:3074,106first reading

Engagement

67 posts held, back to 27 June 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.6%
avg views ÷ 74,331 subscribers
Avg views / post
14,600
16 posts measured
Reaction rate
1.27%
reactions ÷ views · ER floor
Posts in window
16
of 67 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 11 November 2026
Posts held67 (27 June 2026 – 11 November 2026)
Views total233,560
Reactions total2,963
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 07:54 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
≈476
Videos
≈17
Links
≈2,170

Lifetime counters from Telegram’s own channel header, read 12 November 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
6m 42s
Average length
6m 42s

Measured directly from 1 video 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

10,737 reactions across 66 posts, in 5 distinct kinds. The most used accounts for 65.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7,01665.3%
🤔2,46723.0%
👎4944.60%
🤯4574.26%
😱3032.82%

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 67 of the 67 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 10,921 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 67 most recent posts we hold, published 27 June 2026 to 11 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
385
across the posts below
Posts paid on
50
of 67 we hold a reading for · 75%
Most on one post
75
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @theworldisnoteasy. 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 67 most recent posts we hold for this entry, published 27 June 2026 to 11 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 16 posts held from the last 30 days (12.5%) 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).

11 Nov 2026, 10:30 UTC≈4,940 views73 reactions11 Starsread 12 November 2026

Темный лес оказался опушкой Странного То, что ИИ учится скрывать свои «мысли», – далеко не самое худшее. Куда опаснее столкнуться с риском радикальной неопределенности: обманывает ли нас ИИ или просто «мыслит» непостижимым для нас образом? В мае я писал, что «Темный лес интеллекта» начинается не с восстания сверхразума, а когда среда обучения и надзора делает прозрачность невыгодной, а убедительную видимость прозрачн…

👍48🤔19👎4🤯2

9 Nov 2026, 11:32 UTC≈7,300 views94 reactions1 Starread 12 November 2026
Video

Кто заплатил за ум (трейлер)

👍75🤯9🤔8👎2

9 Nov 2026, 11:20 UTC≈7,620 views119 reactions12 Starsread 12 November 2026
Photo

Материя породила разум или только дала ему тело? Первый пост серии «Метареволюция»: о перевороте не в технологиях, а в самих основах понимания мира В современной науке принято считать, что у разума есть конкретный адрес и родословная. Адрес – это мозг, а родословная – миллиарды лет эволюции, проведший материю по долгому пути от химии к жизни и от жизни к мысли. Но в лаборатории Майкла Левина происходит нечто перпенди…

👍77🤔30👎6🤯6

7 Nov 2026, 11:54 UTC≈11,000 views251 reactions3 Starsread 12 November 2026
Photo

Все мы высиживаем гигантские яйца - муляжи В цифровом мире, обманывающем наши инстинкты, мы получаем удовольствие сейчас и худшую жизнь потом. А появление ИИ превратит этот обман в новую среду обитания. В 1940-х годах биолог Нико Тинберген подложил самке кулика-сороки гипсовое яйцо, в несколько раз превосходившее настоящие. Птица выбрала подделку. Она отчаянно пыталась усесться на гигантское яйцо, едва удерживаясь на…

👍160🤔62🤯19👎10

6 Nov 2026, 12:12 UTC≈13,200 views156 reactions12 Starsread 12 November 2026
Photo

Процесс самоускорения ИИ пошел и набирает скорость Это следует из закрытых данных Anthropic, изученных независимыми экспертами METR. Неделю назад в «Сингулярности против штукатурки» я писал: знающие заговорили, говорящие не услышали. Люди из фронтирных лабораторий предупреждают о переменах исторического масштаба. Многие комментаторы отвечают: очередной технологический хайп, все это уже бывало. Но есть критерий, по ко…

🤔75👍48🤯17😱11👎5

3 Nov 2026, 14:12 UTC≈13,000 views281 reactions2 Starsread 12 November 2026
Photo

Революция, которую заслонил ИИ Почему главная научная революция XXI века может оказаться совсем не той, о которой сегодня говорят Главная тема мировых медиа сегодня - искусственный интеллект. И вполне заслуженно. Ведь наступление эпохи ИИ - это не очередная технологическая революция. Это появление на Земле принципиально нового источника множества будущих революций. Источника, которого никогда прежде не существовало: …

👍217🤔40👎17🤯7

2 Nov 2026, 10:03 UTC≈13,900 views129 reactions1 Starread 12 November 2026
Photo

ИИ победил человека в творчестве. Но победителю может понадобиться проигравший. Новое исследование обнаружило парадокс: машины успешнее комбинируют идеи, но склонны изобретать похожее. Люди, уступающие им в креативности, исследуют другие области смыслового пространства. Возможно, именно здесь скрыт секрет синтеллекта. Кажется, у человека обнаружилось неожиданное преимущество в соревновании с искусственным интеллектом…

👍91🤔31👎7

31 Oct 2026, 14:04 UTC≈15,800 views99 reactionsread 12 November 2026

Сингулярность против штукатурки Знающие заговорили, говорящие не услышали Два года назад я начинал выступления на тему «Вызовы и риски переформатирования мира и человека в цифру» [1] со слайда с цитатой из «Трактата о Пути и Благой Силе» Лао-цзы: «Знающий не говорит, говорящий не знает». Те, кто имел полный доступ к происходящему на фронтире ИИ (руководители и ведущие специалисты компаний – разработчиков самых продви…

👍59🤔34👎6

28 Oct 2026, 12:53 UTC≈13,000 views80 reactionsread 12 November 2026
Photo

Доверять модели нельзя проверять Сентябрьский выпуск «Линз будущего»: поведение ИИ все чаще определяется контуром, в который включена модель Представьте такой сиквел легендарного сериала «Во все тяжкие». Сын Уолтера Уайта вырос вдали от криминальных разборок в престижной британской частной школе. В свои 23 он безупречно воспитанный выпускник одного из лучших университетов. Но рок, преследующий семью Уайтов, заставляе…

👍63🤔14👎3

26 Oct 2026, 12:05 UTC≈27,800 views216 reactionsread 12 November 2026
Photo

Какая боль, какая боль: ИИ против Лучших научных рецензентов - 132:0 Гарвардский эксперимент показал превосходство ИИ над лучшими экспертами. И за этой победой скрывается угроза, способная изменить саму природу науки В науке десятилетиями существовал почти священный институт - peer review, экспертная оценка научных работ. От рецензентов зависит, какие ошибки будут исправлены, какие результаты получат признание и каки…

🤔114👍89👎9🤯4

22 Oct 2026, 12:33 UTC≈23,800 views148 reactions8 Starsread 12 November 2026

Зачем элите ум, если есть суперИИ? Элиты эпохи суперИИ: неовикторианская аристократия, кентаврическая меритократия или власть постчеловеческого интеллекта? Британские аристократы XIX века поздно вставали, мало работали, много пили, танцевали до рассвета и почти ничего не знали о науке и технологиях. Томас Арнольд, ведущий педагог викторианской Британии, признавался, что охотнее позволил бы сыну думать, будто Солнце в…

🤔85👍51👎8😱4

21 Oct 2026, 12:04 UTC≈14,700 views107 reactionsread 12 November 2026
Photo

Кто стреляет? За одну неделю октября нас сравнили с крысами и коровами. А действия ИИ-агентов назвали «предупредительными выстрелами». Эти три метафоры прозвучали из уст трех супер-известных фигур - Джеффри Хинтона, Юваля Харари и Демиса Хассабиса. Но вот ведь какая странность: во всех трех человек перестает быть бесспорным хозяином положения. Ведь у любого предупредительного выстрела должен быть его сделавший стрело…

👍57🤔40🤯8👎2

Showing the 12 most recent of 67 posts we hold for @theworldisnoteasy. 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.

Posts edited after publishing

@theworldisnoteasy edited 3 posts 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
30 September 2026
Most recent edit
1 November 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 73 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

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@HRsergeytikhonov · 1,589
1 post
AAA_Профит _ Движение 🏣
@a_cryptoschool · 106
1 post
ИИ стероиды для вас и вашего бизнеса!
@ai_benzoruk · 38
1 post
ИИ в науке, образовании и рынке труда
@aiobraz · 1,339
1 post
Будущее наступает
@aiworkfuture · 1,023
1 post
macroscope
@alsandventures · 4
1 post
АНЧА БАРАНОВА
@anchabaranova · 35,908
1 post
Прогулки с Антикваром
@belgorodantiquus · 402
1 post
Библия и Физика
@bibl1511 · 1
1 post
Боев молчи
@boev_molchi · 436
1 post
Карбонгейт
@carbongate · 365
1 post
consciousness_materials
@consciousness_materials · 51
1 post
cyberium_moon
@cyberium_moon · 4
1 post
Джун на фронте | IT Dev Log
@divatoz · 7,544
1 post
DYOR
@dyor_boutique · 1
1 post
Этика и цифра | Тренды, анализ, истории
@ethics_and_digital_technologies · 620
1 post
EVGENY ALPINSKY ( ͡° ͜ʖ ͡°)
@evgenyalpinsky · 62
1 post
ГЕНИИ
@generativii · 34
1 post
Кривоносов 🔥 GeniUm 🚀
@genium_team · 1,150
1 post
Hack DJI
@hackdji · 749
1 post
{хай концепт} by annaveps
@highconceptt · 236
1 post
humanimalien
@humanimalien_monster · 1,638
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 92 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Denis Sexy IT 🤖
@denissexy · 140,753
#1
Сиолошная
@seeallochnaya · 81,254
#2
эйай ньюз
@ai_newz · 98,339
#3
e/acc
@cryptoEssay · 63,674
#4
addmeto
@addmeto · 72,013
#5
TechSparks
@techsparks · 46,736
#6
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,602
#7
Грокс
@groks · 42,490
#8
Дизраптор
@disruptors_official · 72,496
#9
Антонов такой Антонов
@auantonov · 321,546
#10
Ppprompt | Sexy AI Prompts & Experiments | by @ponchiknews
@ppprompt · 15,559
#11
Kedr to Earth | Земля, я Кедр
@kedr2earth · 10,140
#12
Neural Shit
@NeuralShit · 54,643
#13
Victor Osyka, техноцивилизация
@Victor_Osyka · 10,384
#14
AI Happens
@aihappens · 14,524
#15
Kali Novskaya
@rybolos_channel · 19,139
#16
Стартап дня. Александр Горный.
@startupoftheday · 62,567
#17
Futuris
@Futuris · 6,923
#18
r/ретранслятор
@retra · 165,761
#19
Метаверсошная
@olya_tashit · 13,240
#20
Progresspunks
@progresspunk · 2,669
#21
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,143
#22
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 12,397
#23
EDU
@ProductsAndStartups · 15,340
#24
Ai molodca
@strangedalle · 47,615
#25
Все о блокчейн/мозге/space/WEB 3.0 в России и мире
@blockchainRF · 20,455
#26
AI для Всех
@nn_for_science · 15,453
#27
Познавательная минутка от Курышева
@tasteofrain · 11,343
#28
Образ будущего
@obrazbuduschego2 · 163,839
#29
Ваня Замесин
@zamesin · 50,097
#30
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,280
#31
Хулиномика
@hoolinomics · 98,637
#32
Ponchik News | Алексей Иванов
@ponchiknews · 15,505
#33
Derp Learning
@derplearning · 13,997
#34
Not Boring Tech
@notboring_tech · 21,121
#35
Data Secrets
@data_secrets · 96,159
#36
Machinelearning
@ai_machinelearning_big_data · 275,659
#37
UX Live 🔥
@uxlive · 36,201
#38
Блуждающий нерв
@dtulinov · 11,027
#39
Силиконовый Мешок
@prompt_design · 93,512
#40
vc.ru
@vcnews · 112,144
#41
AI Product | Igor Akimov
@ai_product · 8,385
#42
GigaChat
@official_gigachat · 302,874
#43
Максим Спиридонов
@mspiridonov · 69,790
#44
N + 1
@nplusone · 65,505
#45
Борис опять
@boris_again · 17,955
#46
The Bell
@thebell_io · 105,097
#47
Метаверсище и ИИще
@cgevent · 53,591
#48
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#49
ЕЖ
@ejdailyru · 663,755
#50
Банкста
@banksta · 439,852
#51
МИГ России
@mig41 · 476,345
#52
Толкователь
@tolk_tolk · 126,403
#53
kyrillic
@kyrillic · 61,233
#54
MarketTwits
@markettwits · 341,184
#55
LLM под капотом
@llm_under_hood · 30,219
#56
Димитриев
@russ_orientalist · 129,177
#57
Сергей Булаев AI 🤖
@sergiobulaev · 12,591
#58
RationalAnswer | Павел Комаровский
@RationalAnswer · 110,207
#59
Spydell_finance
@spydell_finance · 131,111
#60
Тёмная сторона / Темнографика
@temno · 79,154
#61
Нейронавт | Нейросети в творчестве
@GreenNeuralRobots · 13,429
#62
CGIT_Vines
@CGIT_Vines · 11,643
#63
Vladimir Pastukhov
@v_pastukhov · 151,911
#64
Милитарист
@infantmilitario · 275,861
#65
Кримсон Дайджест
@crimsondigest · 141,033
#66
Evening Prophet
@eveningprophet · 19,092
#67
Киты плывут на вписку с ЛСД
@whalesgohigh · 61,504
#68
42 секунды
@ftsec · 19,385
#69
Proeconomics
@proeconomics · 68,791
#70
Китайская угроза
@daokedao · 98,737
#71
Старший Авгур
@senior_augur · 8,372
#72
Бэкдор
@whackdoor · 1,538,229
#73
Мараховское время
@vmarahovsky · 60,505
#74
Psy Eyes
@Psy_Eyes · 7,063
#75
The Edinorog 🦄
@Theedinorogblog · 44,127
#76
Шмит16
@Shmit16 · 17,608
#77
DEFI Scam Check
@Defiscamcheck · 48,110
#78
историк-алкоголик
@istrkalkglk · 123,361
#79
Время Валеры
@cryptovalerii · 32,080
#80
ЛВД — Логи внутренних диалогов
@thinkaboutism · 5,197
#81
Arestovich / Official
@O_Arestovich_official · 236,057
#82
YIGAL LEVIN
@yigal_levin · 218,082
#83
All about AI, Web 3.0, BCI
@alwebbci · 3,947
#84
Градиент обреченный
@doomgrad · 8,840
#85
aavst2022
@aavst2022 · 175,172
#86
bitkogan
@bitkogan · 257,213
#87
Чванство
@chvans · 15,345
#88
Екатерина Шульман
@eschulmann · 299,577
#89
Фичизм
@fichism · 25,314
#90
Colonelcassad
@boris_rozhin · 750,635
#91
Fighterbomber
@bomber_fighter · 525,130
#92
BRIEFLY RU
@brieflyru · 100,388
#93
Миша Жуховицкий
@juhovitskiy · 47,846
#94

Read from Telegram’s recommendation API, most recently 19 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.

Квест Теория Каст и Ролей
@alexkrol · 18,734
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 5 October 2026
Кот Шрёдингера
@kot_sh · 25,261
Telegram ranks this channel #3 of 95 here — alongside 94 others — read 15 September 2026
Мастриды
@mustreads · 44,952
Telegram ranks this channel #5 of 98 here — alongside 97 others — read 27 August 2026
e/acc
@cryptoEssay · 63,674
Telegram ranks this channel #7 of 96 here — alongside 95 others — read 21 August 2026
Критическое мышление
@ThinkCritical · 46,981
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 26 August 2026
TechSparks
@techsparks · 46,736
Telegram ranks this channel #10 of 97 here — alongside 96 others — read 27 August 2026
Все о блокчейн/мозге/space/WEB 3.0 в России и мире
@blockchainRF · 20,455
Telegram ranks this channel #12 of 97 here — alongside 96 others — read 27 September 2026
Tech Crunch
@techcrunchru · 16,299
Telegram ranks this channel #14 of 95 here — alongside 94 others — read 5 October 2026
Fun Science
@funscience · 34,192
Telegram ranks this channel #14 of 97 here — alongside 96 others — read 3 September 2026
Digital Доктор
@tlgdoc · 29,116
Telegram ranks this channel #15 of 92 here — alongside 91 others — read 8 September 2026
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,602
Telegram ranks this channel #19 of 97 here — alongside 96 others — read 29 August 2026
Not Boring Tech
@notboring_tech · 21,121
Telegram ranks this channel #20 of 91 here — alongside 90 others — read 26 September 2026
Популярная механика ⚙️
@Popmeh · 29,458
Telegram ranks this channel #21 of 88 here — alongside 87 others — read 8 September 2026
Психология
@PsyEducation · 58,838
Telegram ranks this channel #22 of 95 here — alongside 94 others — read 22 August 2026
Психология Маркетинга
@marketpsy · 172,106
Telegram ranks this channel #22 of 98 here — alongside 97 others — read 12 August 2026
Грокс
@groks · 42,490
Telegram ranks this channel #23 of 94 here — alongside 93 others — read 29 August 2026
Техасский Вестник
@starbasepost · 19,255
Telegram ranks this channel #25 of 92 here — alongside 91 others — read 4 October 2026
Наука
@naukatv_ru · 23,587
Telegram ranks this channel #27 of 94 here — alongside 93 others — read 18 September 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,008
Telegram ranks this channel #27 of 91 here — alongside 90 others — read 12 September 2026
Силиконовый Мешок
@prompt_design · 93,512
Telegram ranks this channel #27 of 96 here — alongside 95 others — read 18 August 2026
Рациональные числа
@rationalnumbers · 25,574
Telegram ranks this channel #28 of 93 here — alongside 92 others — read 13 September 2026
Evening Prophet
@eveningprophet · 19,092
Telegram ranks this channel #31 of 94 here — alongside 93 others — read 5 October 2026
Профайлинг, нейротехнологии и детекции лжи
@ProProfiIing · 23,155
Telegram ranks this channel #31 of 87 here — alongside 86 others — read 19 September 2026
Ai molodca
@strangedalle · 47,615
Telegram ranks this channel #33 of 94 here — alongside 93 others — read 27 August 2026

This channel appears in 46 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Малоизвестное интересное” (@theworldisnoteasy), 74,331 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/theworldisnoteasy.

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.