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Channel

Who is Who | Ху из Ху

@whiswh

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

24,398subscribers

-455 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001173579028
TypeChannel
Username@whiswh
Descriptionwhiswh.com — это статусное издание европейского образца. Мы в Facebook: www.fb.me/whoiswho.media/ Мы в Instagram: www.instagram.com/whoiswho.media/ Наш Youtube канал bit.ly/whoiswho-youtube для связи: @francev, [email protected]
Created27 February 2020 — 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/whiswh

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@whiswh/13903 · this entry2 Aug 2026, 14:18 UTC@granitnauky/122103 Aug 2026, 14:19 UTC1.0024 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
@granitnauky5 (5/5 hand-verifiable sample passed)1.0027 hours@granitnauky (3–2)

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 333 comparable posts for this entry, running 1 August 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).

Recorded under the key clone_mutual, 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.

Growth

24,39824,85324,625.56 August 202612 November 2026
65 measurements spanning 98 days, net -455. 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 24,330–24,921 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, 10:5524,398-19
10 Nov 2026, 07:0724,417-17
8 Nov 2026, 16:3524,434-3
7 Nov 2026, 09:0024,437-7
6 Nov 2026, 07:2624,444-9
5 Nov 2026, 05:3024,453-4
4 Nov 2026, 04:1624,457+2
3 Nov 2026, 04:0724,455-2
2 Nov 2026, 03:3624,457-5
1 Nov 2026, 00:5024,462-13
31 Oct 2026, 02:5124,475-11
30 Oct 2026, 05:4724,486-4
29 Oct 2026, 09:0824,490-9
28 Oct 2026, 11:0624,499-6
27 Oct 2026, 12:5824,505-4
26 Oct 2026, 16:1524,509-6
25 Oct 2026, 17:4824,515-7
24 Oct 2026, 20:3624,522-10
23 Oct 2026, 21:3124,532-8
22 Oct 2026, 21:5424,540first reading

Engagement

341 posts held, back to 1 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 136 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.36%
avg views ÷ 24,398 subscribers
Avg views / post
1,310
114 posts measured
Reaction rate
4.16%
reactions ÷ views · ER floor
Posts in window
114
of 341 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 12 November 2026
Posts held341 (1 August 2026 – 12 November 2026)
Views total148,971
Reactions total6,191
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 04:27 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
≈5,710
Videos
≈2,140
Links
≈10,000

Lifetime counters from Telegram’s own channel header, read 13 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
5m 26s
Average length
1m 49s

Measured directly from 3 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

16,577 reactions across 333 posts, in 40 distinct kinds. The most used accounts for 59.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤9,78059.0%
👍3,73022.5%
🔥6253.77%
😁4502.71%
😢3402.05%
💔3201.93%
👏3151.90%
😭1661.00%
🙏1290.778%
💯1150.694%
🤣1090.658%
❤‍🔥1040.627%
🥰840.507%
😱800.483%
🤔580.35%
🕊330.199%
👎300.181%
🤯190.115%
🍾170.103%
🥴160.097%
20 further kinds570.344%

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 340 of the 341 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 16,906 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 341 most recent posts we hold, published 1 August 2026 to 12 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 341 we hold a reading for · 0.6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @whiswh. 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 341 most recent posts we hold for this entry, published 1 August 2026 to 12 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: 1 of 114 posts held from the last 30 days (0.877%) 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).

12 Nov 2026, 16:59 UTC656 views46 reactionsread 13 November 2026
Photo

Олег Басилашвили о роли Воланда в фильме "Мастер и Маргарита"... - Вы не боялись, соглашаясь на роль Воланда? - Конечно, хочется сказать: все это ерунда! Но, думаю, с романом действительно все обстоит не так просто. Честно говоря, мне тоже было немного не по себе, когда получил предложение сыграть Воланда. Все вокруг говорили: «Мистика! Бог вас покарает!» Тогда я как раз был в Киеве на гастролях, вот и решил пойти …

❤30👍7🔥6👏2🙏1

12 Nov 2026, 13:59 UTC787 views59 reactionsread 13 November 2026
Photo

Таких ,как Шаинский, уже не будет никогда Владимир Шаинский когда-то казался мне человеком странным. Я думал, что странно, когда тебе за девяносто иметь жену, которая младше тебя на сорок один год и рожать детей, увидеть которых взрослыми, у тебя очень мало шансов. Он жил в США, а еще раньше жил в Израиле, где восхищал всех своим умением акробатически, стоя на одной ноге, пить водку. Однажды его ловили на патрульн…

❤36👍21👏2

12 Nov 2026, 11:02 UTC833 views29 reactionsread 13 November 2026
Photo

Помните, у тонкого и несчастного Венички Ерофеева есть честное: "Мне с тобой пить не о чём"? Это не о высокомерии, не о превосходстве, не о разделении на плохих и хороших. Это о несовпадении. С кем-то нам не о чём пить, не о чём любить, не о чём говорить, не о чём дружить, не о чём жить. А кому-то с нами. Несовпадение - хороший способ отказаться от громкой вражды, потому что в ней нет смысла, если мы понимаем, что…

❤18👍10👏1

12 Nov 2026, 06:00 UTC935 views40 reactionsread 13 November 2026
Photo

«Я бы очень хотел сыграть Федю Протасова в «Живом трупе» Льва Толстого, царя Федора у Алексея Толстого, Иванова – у Чехова. Но сейчас уже поздно об этом думать. Короля Лира мне как-то предлагали, но я отказался, потому что был равнодушен к Шекспиру, да-да... И тогда не мог понять: что играть и зачем? Только сейчас начинаю осознавать, как можно было бы сыграть до дрожи». О. Басилашвили.

❤32🤔6🙏2

11 Nov 2026, 14:02 UTC≈1,110 views72 reactionsread 13 November 2026
Photo

«Мой дядя Алекс Воннегут научил меня очень простой, но действительно важной вещи. Он говорил, что мы почему-то не замечаем, когда случается что-то хорошее. А ведь хорошее стоит того, чтобы на него обратили внимание. Он говорил не о каких-то великих свершениях, а о самых простых, повседневных вещах: когда пьёшь лимонад в жаркий полдень в тенёчке, или вдруг чувствуешь запах свежего хлеба из булочной, или сидишь ловишь …

❤56👍16

11 Nov 2026, 11:03 UTC≈1,090 views61 reactionsread 13 November 2026
Photo

У Куприна есть рассказ о даме, которая ехала с жестоким и грубым мужем в поезде. Муж уснул и храпел — устал замечания делать и одергивать… И дама разговорилась с молодым офицером — совершенно невинный разговор, о посторонних вещах. О том, как в детстве можно замереть — и время словно замедляется, его течение становится иным, и это — почти вечность… О том, как таинственно и странно сидеть под столом, отъединившись от …

🔥28❤15👍13🤔2🙏2😢1

11 Nov 2026, 06:01 UTC≈1,070 views58 reactionsread 13 November 2026
Photo

В юности поэт Иосиф Бродский научился ловко чиркать спички о штаны. Конкретно говоря — о задницу. Чиркнет — спичка загорается. Боже, как он гордился своим достижением! Как дорожил этим бессмысленным и малоприличным навыком. Как охотно и неутомимо его демонстрировал. Как радовался, если у других не выходило. Как торжествующе хохотал… Впоследствии Бродский стал очень знаменит. Переведен на множество иностранных языко…

👍39❤10🔥6🥰2🙏1

10 Nov 2026, 10:59 UTC≈1,190 views69 reactionsread 13 November 2026
Photo

Анатолий Адоскин. Воспоминания о Фаине Раневской: «В ней поражало все фигура, голос, смесь эксцентричности и величия. Критики, журналисты, поклонники искали встречи с ней, правдами и неправдами пытались добыть любую информацию о ее жизни и вольно или невольно создавали вокруг ее имени некую легенду. Как же решиться обыкновенными словами рассказать о столь необыкновенном явлении Фаине Георгиевне Раневской? Все, что с…

❤41👍17💔8🙏3

10 Nov 2026, 05:59 UTC≈1,200 views36 reactionsread 13 November 2026
Photo

Не обращайте внимания на тех, кто думает, что вы сходите с ума, ни на тех, кто говорит вам, что вы совершаете ошибку, ни на тех, кто просит вас вернуться обратно на тот путь, который они считают правильным. Мечтайте о том, о чем хотите мечтать, идите туда, куда хотите идти, будьте тем, кто вы есть, так как жизнь неповторима. Помните: вы — дверь, которую вы до сих пор так безуспешно искали. Карл Густав Юнг

👍23❤12🔥1

9 Nov 2026, 16:59 UTC≈1,250 views71 reactionsread 13 November 2026
Photo

«Я скептически отношусь ко всем находкам по линии питания, долгожительства, а также антиалкогольной и антиникотиновой направленности. Например, я помню, как мой друг, фантазер Аллан Чумак мрачно сидел у водопровода, оттуда лилась вода в бутылки, которые ему приносили взволнованные идиоты, и он эту водопроводную воду пассами заряжал, после чего она становилась целебной и чуть ли не святой. Он сам делал вид, что верит…

👍52❤16😁3

9 Nov 2026, 13:59 UTC≈1,180 views60 reactionsread 13 November 2026
Photo

О себе я могу сказать твердо. Я никогда не буду высоким. И красивым. И стройным. Меня никогда не полюбит Мишель Мерсье. И в молодые годы я не буду жить в Париже. Я не буду говорить через переводчика, сидеть за штурвалом и дышать кислородом. К моему мнению не будет прислушиваться больше одного человека. Да и эта одна начинает иметь свое. Я наверняка не буду руководить большим симфоническим оркестром радио и телевид…

🔥28❤20👍10👏2

9 Nov 2026, 10:59 UTC≈1,140 views73 reactionsread 13 November 2026
Photo

Бабку собирали всей семьёй. Не тая греха, говорили ей прямо о том, как она надоела. И о том, что наконец-то настала весна, и теперь она уедет в деревню до поздней осени. Внуки были холодны к ней, невестка её не любила. А сын постоянно находился в командировках. Но когда приезжал ничуть не лучше своей семьи относился к матери. Она была обузой для них. Сама все понимала и из последних сил терпела эти мучения, каждый г…

😢39❤22🙏6👍5👏1

Showing the 12 most recent of 341 posts we hold for @whiswh. 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.

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 8 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.

Гранит Науки
@granitnauky · 8,458
#1
Экспедиция
@expeditionary_corpus · 1,712
#2
Во вкусе не откажешь
@vo_vkus · 59,277
#3
Судьбопсихология
@Fatelipotzonde · 753
#4
Культура и религия
@culture_religion · 566
#5
ГИППОКРАТ. Научное Медицинское общество
@HippokratesWissen · 606
#6
Интеллектуальный Юмор
@intel_humor · 5,974
#7
ТЕАТРАЛЬНЫЕ ЛЮДИ
@people_theatre · 69,496
#8
Роман Надирян
@nadiryan · 6,518
#9
Abrikos
@abrikosmedia · 4,484
#10
Беляков
@bellochkin · 29,405
#11
Kurbanoff.net
@kurbanoffnet · 14,769
#12
Золото любви (канал Данаты Давроновой)
@zoloto_lubvi · 635
#13
ADME
@adme_ru_official · 22,867
#14
Философия Фотоискусства👍
@philosophy_of_photography · 7,983
#15
Мой Израиль
@israloveorg · 5,250
#16
Осознанные люди
@con_pe · 2,439
#17
MojsheLevin
@MojsheLevin_Channel · 1,742
#18
Гутин Морген!
@gutin_morgen · 17,957
#19
Книжный клуб | психология, литература
@knizhnyj_klub_literatura · 5,215
#20
Ещё главу и спать | Литература
@knigi_literatura · 257,669
#21
Тут картины показываем
@artgallery · 193,582
#22
РЫСЬЮ ПО ЖИЗНИ
@myslveka · 10,686
#23
Подосокорский
@podosokorsky · 29,652
#24
LondonBook
@LondonBook · 699
#25
Открытые письма | Литература
@open_letters · 40,857
#26
IsraGeo
@IsraGeomagazine · 1,120
#27
Слава Сэ | Fan
@slava_ce · 22,884
#28
НЕВЗОРОВ
@nevzorovtv · 1,002,580
#29
Израильские трудовыебудни
@Trueisrael · 131,368
#30
Голос Израиля | Израиль Новости
@voiceofisrael · 267,458
#31
Алексей Железнов: ЦАХАЛ/Израиль/Ближний Восток⚔️
@alexavni · 81,630
#32
Война с Ордой. Сергей Ауслендер
@voinasordoy · 200,103
#33
Gazeta.uz - Новости Узбекистана
@gazetauz · 86,031
#34
BBC News | Русская служба
@bbcrussian · 388,911
#35
Пером и Шпагой. Исследование среды внимания и человека
@Pero_chpaga · 1,927
#36
Восточный Синдром
@vostochnysyndrome · 82,939
#37
АН Podrobno.uz - Новости Узбекистана - (официальный канал)
@podrobno · 57,136
#38
ВадимГид
@Vadimguide · 4,504
#39
Эффект Макаренко
@makarenko_channel · 35,975
#40
Потребитель.Уз
@potrebitel_uz · 38,637
#41
Сегодня | Израиль
@segodnyail · 55,328
#42
Город Глуповъ
@gorodglupov · 153,299
#43
Война и мир на Ближнем Востоке- Дина Лиснянская.
@crescentscroissants · 55,050
#44
Новости Израиля
@israelinfo_co_il · 8,146
#45
The Peacemaker
@migdalsergei · 26,027
#46
Ближний В. (мои 5 агорот)
@romanaboutmeast · 28,384
#47
Александр ЦИНКЕР 🇮🇱 | Смысл событий
@tsinkeralex · 6,527
#48
Ezra Mor Youtube Show
@EzraMorYoutubeShow · 29,262
#49
Марк Котлярский
@markkot56 · 19,662
#50
Макс Бродский - Мысли вслух - 🇮🇱 Новости Израиль | Ближний Восток
@max_brodsky2 · 22,925
#51
ЛИОРА ШВАРЦ
@IsraelSuitcase · 21,190
#52
Макс Лурье | Израиль
@maxlirie · 15,013
#53
Израиль - нам всё ещё смешно
@israelhumor · 10,606
#54
Insider.uz
@insider_uz · 8,913
#55
Посмотрим «ПО • ДРУГОМУ»
@sodalook · 3,018
#56
Левиатан | Новости Израиля
@israelvoice · 23,975
#57
Коля Хадашот
@gurevichonline · 41,900
#58
Борис и Лора из иврит-дозора |Израиль|
@Godunov2020 · 21,437
#59
🧭 Навигатор Зерницкого
@zernytsky_navigator · 15,251
#60
Обзиратель. Война на Ближнем Востоке ⚔️
@obzirate1 · 36,839
#61
Аркадий Красильщиков
@arkkras · 387
#62
Политика и не только. Новости Израиля«НИ»:титры,первые публикации,перевод аналитики
@INews_Israel · 10,057
#63
один матрос любил летать во сне
@idubzee · 3,053
#64
Радио Хамсин | Борис Миркин
@RadioHamsin · 25,186
#65
Mignews.com - Новости Израиля / Война на Ближнем Востоке
@mignewscom · 37,860
#66
Хадашот товот
@raktoov · 1,474
#67
Настоящее Время
@currenttime · 144,053
#68
Хороший текст
@horoshiytext · 1,675
#69
Непомнящий
@sashanep16 · 2,336
#70
Люди в черном
@zloydos · 19,317
#71
Игорь Гефен. Igor Gefen канал.
@GefenIgor · 1,377
#72
Продавец фиников
@mayofis · 26,977
#73
Наблюдения под чинарой 🌳
@nobody_cares_but · 12,338
#74
Докомедия - альтернативные новости Израиля
@doc_inside · 5,041
#75
Феликс Гольберт | Война цивилизаций
@fgolbert · 14,937
#76
ДЕТАЛИ: новости Израиля
@detalynews · 12,968
#77
Evreynews -новости мира и Израиля
@Nechlenknesseta · 552
#78
Израильский блог
@israelblogru · 788
#79
Помогайкин Олег
@pomog · 23,354
#80
Едем в горы
@edemvgori · 794
#81
Надо ехать смотреть!
@mustseeart · 11,050
#82
ЛОБОВИКОВ.isr - канал Михаила Лобовикова
@Lobovikov · 1,569
#83
Leonid Nevzlin
@leonidnevzlin · 41,726
#84
Подумаем о нас!
@nozima_1707 · 604
#85
David Gendelman
@david_gendelman · 17,520
#86
Город говорит
@govorit_tashkent · 2,742
#87
Breynstorm
@breynstorm · 385
#88
Что там у евреев? | Израиль
@askjew · 22,145
#89
Хук справа🇮🇱
@righthookIsrael · 417
#90
Hamid Hamidov
@hhamidov · 5,042
#91
Умное&Красивое
@umno_krasivo · 15,082
#92
Mikhail Krutikhin
@mkrutikhin · 13,781
#93
X-Places
@xplaces · 8,579
#94
Фаина Раневская
@tg_ranevskaya · 3,282
#95
Петербург в объективе
@peterburg_in_objective · 4,310
#96
ВЕТЕР ПЕРЕМЕН ✴️ EZOTERRA ✴️
@veterperemenpro · 1,311
#97

Read from Telegram’s recommendation API, most recently 15 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.

Во вкусе не откажешь
@vo_vkus · 59,277
Telegram ranks this channel #19 of 88 here — alongside 87 others — read 22 August 2026
ADME
@adme_ru_official · 22,867
Telegram ranks this channel #34 of 88 here — alongside 87 others — read 18 September 2026

This channel appears in 2 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Who is Who | Ху из Ху” (@whiswh), 24,398 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/whiswh.

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.