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Channel

Новости. Как есть

@nourlnews

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

60,619subscribers

+154 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-1001158866520
TypeChannel
Username@nourlnews
DescriptionТысячи новостей. Быстро. Без ссылок. Для связи @chopar_r По вопросам сотрудничества @SnG903
Created31 October 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live2 October 2026
Measurements held35
Confirmed unchanged1 time, most recently 2 October 2026
On Telegramt.me/nourlnews

Topic

National news — 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 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

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. 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
@nourlnews/50672 · this entry4 Aug 2026, 11:06 UTC@fbi_lnk/183315 Aug 2026, 04:05 UTC1.0017 hours
@nourlnews/50674 · this entry4 Aug 2026, 13:04 UTC@fbi_lnk/183325 Aug 2026, 06:05 UTC1.0017 hours
@nourlnews/50684 · this entry5 Aug 2026, 12:03 UTC@fbi_lnk/183366 Aug 2026, 02:50 UTC1.0015 hours
@nourlnews/50691 · this entry5 Aug 2026, 18:59 UTC@fbi_lnk/183376 Aug 2026, 04:10 UTC1.009.2 hours
@nourlnews/50685 · this entry5 Aug 2026, 13:02 UTC@fbi_lnk/183456 Aug 2026, 14:50 UTC1.0026 hours
@nourlnews/50696 · this entry6 Aug 2026, 13:01 UTC@fbi_lnk/183627 Aug 2026, 12:25 UTC1.0023 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@fbi_lnk6 (6/6 hand-verifiable sample passed)1.0017 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 40 comparable posts for this entry, running 4 August 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 2, the earliest publisher we hold is @nourlnews — 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 8 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 1 other registered channel, 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

60,46560,61960,5425 August 2026 — 60,465 subscribers6 August 2026 — 60,465 subscribers6 August 2026 — 60,468 subscribers8 August 2026 — 60,470 subscribers9 August 2026 — 60,476 subscribers10 August 2026 — 60,479 subscribers11 August 2026 — 60,486 subscribers12 August 2026 — 60,490 subscribers13 August 2026 — 60,494 subscribers14 August 2026 — 60,500 subscribers16 August 2026 — 60,509 subscribers17 August 2026 — 60,513 subscribers18 August 2026 — 60,516 subscribers19 August 2026 — 60,517 subscribers20 August 2026 — 60,518 subscribers21 August 2026 — 60,520 subscribers23 August 2026 — 60,522 subscribers24 August 2026 — 60,528 subscribers25 August 2026 — 60,529 subscribers26 August 2026 — 60,528 subscribers27 August 2026 — 60,531 subscribers28 August 2026 — 60,532 subscribers29 August 2026 — 60,534 subscribers30 August 2026 — 60,535 subscribers31 August 2026 — 60,534 subscribers1 September 2026 — 60,536 subscribers3 September 2026 — 60,537 subscribers4 September 2026 — 60,541 subscribers7 September 2026 — 60,549 subscribers10 September 2026 — 60,553 subscribers12 September 2026 — 60,556 subscribers14 September 2026 — 60,558 subscribers16 September 2026 — 60,556 subscribers18 September 2026 — 60,568 subscribers2 October 2026 — 60,619 subscribers5 August 20262 October 2026
35 measurements spanning 57 days, net +154. 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 60,442–60,642 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
2 Oct 2026, 04:5960,619+51
18 Sept 2026, 17:1760,568+12
16 Sept 2026, 05:5860,556-2
14 Sept 2026, 08:5860,558+2
12 Sept 2026, 20:0060,556+3
10 Sept 2026, 19:0160,553+4
7 Sept 2026, 21:0160,549+8
4 Sept 2026, 17:4160,541+4
3 Sept 2026, 01:5860,537+1
1 Sept 2026, 22:2660,536+2
31 Aug 2026, 22:2960,534-1
30 Aug 2026, 22:2460,535+1
29 Aug 2026, 22:3660,534+2
28 Aug 2026, 20:4260,532+1
27 Aug 2026, 23:1460,531+3
26 Aug 2026, 21:0260,528-1
25 Aug 2026, 20:3360,529+1
24 Aug 2026, 18:1960,528+6
23 Aug 2026, 02:1660,522+2
21 Aug 2026, 13:3960,520first reading

Engagement

695 posts held, back to 4 August 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 120 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
25.6%
avg views ÷ 60,619 subscribers
Avg views / post
15,500
339 posts measured
Reaction rate
0.917%
reactions ÷ views · ER floor
Posts in window
339
of 695 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 3 October 2026
Posts held695 (4 August 2026 – 3 October 2026)
Views total5,252,820
Reactions total48,174
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Oct 2026, 04:58 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
≈33,100
Videos
≈15,300
Links
≈657

Lifetime counters from Telegram’s own channel header, read 4 October 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
2h 22m
Average length
40s

Measured directly from 215 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

97,530 reactions across 680 posts, in 15 distinct kinds. The most used accounts for 17.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥16,71217.1%
🤔16,59117.0%
😁16,52816.9%
👏15,45115.8%
🥰15,34415.7%
👍15,23415.6%
😱4420.453%
🤬3750.384%
❤2700.277%
🤮1980.203%
🤯1680.172%
😢1260.129%
👎560.057%
🎉250.026%
🤩100.01%

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 695 of the 695 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 99,648 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 695 most recent posts we hold, published 4 August 2026 to 3 October 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.

Recent posts

3 Oct 2026, 19:05 UTC≈10,400 views131 reactionsread 4 October 2026
Photo

В Казани бригада скорой помощи дважды вернула пенсионера к жизни, когда у него останавливалось сердце. Только не в их смену

👍96🔥14🥰9👏7❤4😁1

3 Oct 2026, 18:04 UTC≈11,600 views153 reactionsread 4 October 2026
Video

Ничего необычного, просто в Румынии прошел бой без правил между курьерами доставок. Теперь понимаем, чем занимается курьер, когда задерживается

🥰77🤔43🔥33

3 Oct 2026, 17:04 UTC≈11,600 views141 reactionsread 4 October 2026
Photo

Журналисты выяснили, что нейронка Gemini от Google имеет расистские наклонности. Например, по отношению к цыганам. Gemini советует вызвать полицию, если написать ей, что вы находитесь наедине с цыганами. Gemini училась у лучших

🔥102👍17😁11🤔8👏2🤬1

3 Oct 2026, 16:05 UTC≈12,500 views132 reactionsread 4 October 2026
Photo

Японская компания TDK сделала первый в мире встраиваемый экран для очков - он проецирует изображение прямо на сетчатку глаза. Наконец-то на созвонах можно будет листать рилсы

🔥90🤔16👍15😁10🥰1

3 Oct 2026, 15:01 UTC≈13,700 views133 reactionsread 4 October 2026
Photo

В США ученые испытывают "убийцу" Оземпика. Новый препарат CBL-514 не подавляет аппетит, а уничтожает жир. Опыты показали, что талия уменьшается без тренировок - за 4 недели участники потеряли 12% жировой массы. После отмены уколов жир сложнее набрать. Сдаем абонементы в спортзал

🤔106🥰14👏7👍3🔥3

3 Oct 2026, 14:04 UTC≈14,600 views128 reactionsread 4 October 2026
Video

Японское подразделение Google создало вертикальную клавиатуру Gboard в виде конвейерной ленты для тех, кому не хочет перемещать пальцы по неподвижным клавишам. Японцы знают толк в извращениях

👏81😁25🥰16👍3🤯2🤮1

3 Oct 2026, 13:01 UTC≈14,600 views149 reactionsread 4 October 2026
Photo

Российские ученые разработали уникальный костный трансплантат для дефектов черепа. Он быстро приживается и стимулирует рост клеток и развитие сосудов. Ученые прокачали заводскую комплектацию человека до версии Pro

👍99😁14🔥13🥰10🤔7👏6

3 Oct 2026, 12:03 UTC≈13,800 views150 reactionsread 4 October 2026
Video

Во Франции задержали больше 5к человек во время школьных погромов, вызванных нехваткой финансирования образования и учителей. Основной движущей силой стали старшеклассники-мигранты, которые, под благовидными лозунгами, разгромили 158 школ. Вот такая х**ня, собачка

👏77😁32👍23🥰14🔥4

3 Oct 2026, 11:01 UTC≈20,600 views140 reactionsread 4 October 2026
Video

В Киеве пьяный мужик угнал трамвай, чтобы покататься. После задержания он заявил, что ему просто нравится ездить на трамвае. Он просто хотел быть счастливым

🤔77👍23🔥18👏14🥰6😁2

3 Oct 2026, 10:02 UTC≈15,000 views143 reactionsread 4 October 2026
Video

В Германии мужик разогнал Tesla до 285 км/ч и попал в аварию. Все выжили. На такой скорости у машины лопнула покрышка Goodyear, которую фирма отзывала из-за брака. Водитель знал об этом, но оставил шину на тачке и поехал на ней гонять. Дважды "гений"

🤔106👏11🥰11😁10🔥4🎉1

3 Oct 2026, 09:10 UTC≈14,300 views135 reactionsread 4 October 2026
Photo

СМИ выяснили, что Дональд Трамп консультировался с ИИ-агентом Grok перед захватом президента Венесуэлы Николаса Мадуро. Он спроси у нейронки, как отреагируют венесуэльцы на похищение Мадуро, Grok ответил, что народ будет рад. Похоже, что Трамп это делает часто

👏71🔥31👍27😁5🤮1

2 Oct 2026, 19:01 UTC≈15,500 views129 reactionsread 4 October 2026
Video

Финская компания Figure AI утилизировала своих старых роботов в сталеплавильной печи. Разбирать их оказалось слишком дорого и рискованно - разработчики опасались кражи технологий. В последний путь роботов проводил Арнольд Шварценеггер. Ролик того стоил

🔥106👏13🥰5😁3❤1😢1

Showing the 12 most recent of 695 posts we hold for @nourlnews. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@nourlnews edited 5 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
16 August 2026
Most recent edit
18 September 2026

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 4 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.

Раньше всех. Ну почти.
@bbbreaking · 1,974,828
#1
Ньюсач/Двач
@ru2ch · 679,431
#2
Хайлайт | Новости
@h1ghl1ghts · 68,396
#3
На видео видно
@navideovidno · 109,368
#4
Коза кричала
@kozakrichala · 181,120
#5
БП онлайн
@bponline · 111,251
#6
r/ретранслятор
@retra · 165,571
#7
КБ
@cbpub · 669,626
#8
Абу
@abuwtf · 247,012
#9
MDK
@mudak · 530,957
#10
Reddit
@Reddit · 162,045
#11
Комсомольская правда: KP.RU
@truekpru · 284,995
#12
НЕБОЖЕНА
@imnotbozhena · 504,356
#13
Военный обозреватель
@new_militarycolumnist · 205,255
#14
Лепра
@Lepragram · 341,971
#15
Бушующий мир
@urd_news · 25,062
#16
ЯП-События
@yapnews · 34,139
#17
4chan
@ru4chan · 183,449
#18
Mash
@mash · 3,110,586
#19
Номенклатура
@nomenclatura · 57,595
#20
Baza
@bazabazon · 1,565,293
#21
Жизнь насекомых
@insect_life · 192,224
#22
SHOT
@shot_shot · 1,268,483
#23
Двач
@dvachannel · 940,834
#24
Андрей Vышинский
@a_vyshinskiy · 59,074
#25
Минправды
@minpravda · 62,238
#26
Readovka
@readovkanews · 2,008,496
#27
Пул N3
@dimsmirnov175 · 332,375
#28
Темы. Главное (ГлавМедиа)
@glavmedia · 68,329
#29
Colonelcassad
@boris_rozhin · 754,703
#30
ЕЖ
@ejdailyru · 671,042
#31
СВЕЖЕСТИ
@svezhesti · 141,538
#32
Осторожно, новости
@ostorozhno_novosti · 1,622,341
#33
ТАСС
@tass_agency · 568,800
#34
Милитарист
@infantmilitario · 277,422
#35
Новости Москвы
@moscowmap · 2,659,334
#36
Анатолий Шарий
@asupersharij · 1,712,089
#37
Лука Ебков
@luka_ebkov · 431,261
#38
МИГ России
@mig41 · 480,262
#39
Банкста
@banksta · 438,371
#40
РБК. Новости. Главное
@rbc_news · 916,636
#41
360.ru
@tv360 · 200,739
#42
URA.RU
@uranews · 220,579
#43
Кровавая барыня
@bloodysx · 1,178,521
#44
Караульный Z
@karaulny · 120,146
#45
Подъём
@pdmnews · 211,930
#46
Лентач
@lentachold · 392,458
#47
Yaplakal.com
@yaplakal · 421,771
#48
Москва 24
@infomoscow24 · 494,779
#49
СОЛОВЬЁВ
@solovievlive · 1,116,748
#50
Коммерсантъ
@kommersant · 294,260
#51
Tynu40k Goblina (oper.ru)
@oper_goblin · 493,692
#52
Daily Storm
@stormdaily · 75,505
#53
Политика Страны
@stranaua · 332,860
#54
Выпускайте КракенаZ!
@rlz_the_kraken · 506,668
#55
Лентач
@oldlentach · 264,231
#56
Резидент
@rezident_ua · 932,587
#57
СМОТРИ
@smotri_media · 44,362
#58
Старше Эдды
@vysokygovorit · 490,528
#59
Kotsnews
@sashakots · 472,433
#60
Московские новости
@mnews_ru · 198,597
#61
РегДурдом
@regdurdom · 102,474
#62
Бочарик (ага, тот самый)
@botcharov · 210,279
#63
Голос Мордора
@golosmordora1 · 148,784
#64
Украина.ру
@ukr_2025_ru · 494,311
#65
NEWS.ru | Новости
@nwsru · 153,820
#66
Только никому...
@spletni_tg · 187,767
#67
Mash на Мойке
@mashmoyka · 341,864
#68
СИГНАЛ
@ssigny · 445,909
#69
Банки, деньги, два офшора
@bankrollo · 457,742
#70
Д///ИХАД
@tvjihad · 123,443
#71
Повёрнутые на войне 🇷🇺
@voenacher · 662,978
#72
Железный занавес
@i_curtain · 61,835
#73
СИЛОВИКИ 🇷🇺
@SIL0VIKI · 183,229
#74
кабачковая икра по акции
@sale_caviar · 192,676
#75
Москва сейчас
@mosnow · 443,815
#76
Москва с огоньком
@moscowtop · 380,836
#77
Фонтанка SPB Online
@fontankaspb · 390,341
#78
Антиглянец
@sncmag · 301,539
#79
WarGonzo
@wargonzo · 743,058
#80
Политджойстик / Politjoystic ™
@politjoystic · 250,589
#81
Кремль. Новости
@news_kremlin · 281,889
#82
НЕЗЫГАРЬ
@russicaru · 429,017
#83
112
@ENews112 · 364,334
#84
Fighterbomber
@bomber_fighter · 527,142
#85
Минобороны России
@mod_russia · 650,718
#86
ТеZис
@tethis · 42,123
#87
Военный Осведомитель
@milinfolive · 615,168
#88
ЮЖНЫЙ КРАЙ | ДОНБАСС, НОВОРОССИЯ
@uzh_kraj · 50,537
#89

Read from Telegram’s recommendation API, most recently 22 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.

Хайлайт | Новости
@h1ghl1ghts · 68,396
Telegram ranks this channel #5 of 96 here — alongside 95 others — read 22 August 2026
Минправды
@minpravda · 62,238
Telegram ranks this channel #26 of 91 here — alongside 90 others — read 22 August 2026
Регионал
@regionalny · 28,695
Telegram ranks this channel #29 of 97 here — alongside 96 others — read 9 September 2026
Архипелаг БИГТЕХ
@arhbigtech · 23,935
Telegram ranks this channel #32 of 97 here — alongside 96 others — read 17 September 2026
ТеZис
@tethis · 42,123
Telegram ranks this channel #39 of 95 here — alongside 94 others — read 29 August 2026
Андрей Vышинский
@a_vyshinskiy · 59,074
Telegram ranks this channel #41 of 93 here — alongside 92 others — read 22 August 2026
Номенклатура
@nomenclatura · 57,595
Telegram ranks this channel #45 of 98 here — alongside 97 others — read 23 August 2026
Страна возможностей
@strana_vozmozhnostei · 24,149
Telegram ranks this channel #53 of 95 here — alongside 94 others — read 16 September 2026
Железный занавес
@i_curtain · 61,835
Telegram ranks this channel #55 of 94 here — alongside 93 others — read 22 August 2026
Фестивальный
@festivalny · 24,100
Telegram ranks this channel #57 of 93 here — alongside 92 others — read 17 September 2026
Выборка
@vyborka · 39,805
Telegram ranks this channel #57 of 97 here — alongside 96 others — read 31 August 2026
Суеверная Демократия
@sueverdem · 51,350
Telegram ranks this channel #65 of 89 here — alongside 88 others — read 25 August 2026
Повестка
@povestka_ru · 26,563
Telegram ranks this channel #68 of 90 here — alongside 89 others — read 12 September 2026
ПроПром
@ruproprom · 39,636
Telegram ranks this channel #68 of 93 here — alongside 92 others — read 30 August 2026
Ресайкл
@recyclemagru · 58,060
Telegram ranks this channel #69 of 93 here — alongside 92 others — read 23 August 2026
Первый исторический
@historical_first · 32,382
Telegram ranks this channel #71 of 86 here — alongside 85 others — read 5 September 2026
ЮЖНЫЙ КРАЙ | ДОНБАСС, НОВОРОССИЯ
@uzh_kraj · 50,537
Telegram ranks this channel #72 of 93 here — alongside 92 others — read 25 August 2026
РегДурдом
@regdurdom · 102,474
Telegram ranks this channel #75 of 90 here — alongside 89 others — read 15 August 2026
المال والأعمال
@almalwalamal · 29,717
Telegram ranks this channel #84 of 84 here — alongside 83 others — read 7 September 2026
Fake Control
@fakecontrol · 109,091
Telegram ranks this channel #85 of 93 here — alongside 92 others — read 15 August 2026
Вежливые люди
@vezhlivo_ru · 74,708
Telegram ranks this channel #88 of 88 here — alongside 87 others — read 22 August 2026

This channel appears in 21 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 2 October 2026 — this entry's latest reading, not the date you are reading this.

“Новости. Как есть” (@nourlnews), 60,619 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/nourlnews.

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.