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Telegram profile photo for Профессор Игорь Панарин

Channel

Профессор Игорь Панарин

@igor_panarin

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

26,117subscribers

-403 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-1001350541371
TypeChannel
Username@igor_panarin
DescriptionОфициальный канал профессора Игоря Панарина. Все интересное тут. Подписывайтесь и читайте то, что больше нигде не найдёте. Внесен в перечень РКН: https://gosuslugi.ru/snet/67b7e381a845453fdea8fb26 РУТУБ - https://rutube.ru/channel/23524776/
Created11 November 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/igor_panarin

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 39% 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 4 other registered channels. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@rianovostiAmerica/3941531 Oct 2026, 17:09 UTC@igor_panarin/76450 · this entry31 Oct 2026, 20:15 UTC1.003.1 hours
@rianovostiAmerica/394432 Nov 2026, 10:47 UTC@igor_panarin/76481 · this entry2 Nov 2026, 11:18 UTC1.0032 minutes
@rianovostiAmerica/395164 Nov 2026, 08:51 UTC@igor_panarin/76538 · this entry4 Nov 2026, 11:28 UTC1.002.6 hours
@Irna_ru/3980431 Oct 2026, 17:17 UTC@igor_panarin/76449 · this entry31 Oct 2026, 19:02 UTC1.001.8 hours
@tass_agency/40124420 Oct 2026, 09:52 UTC@igor_panarin/76178 · this entry20 Oct 2026, 10:25 UTC1.0033 minutes
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
@rianovostiAmerica9 (8/8 hand-verifiable sample passed)1.0056 minutes@rianovostiAmerica (9–0)
@Irna_ru11 (8/8 hand-verifiable sample passed)1.001.8 hours@Irna_ru (11–0)
@interfaxonline13 (8/8 hand-verifiable sample passed)1.0032 minutes@interfaxonline (13–0)
@tass_agency6 (6/6 hand-verifiable sample passed)1.003 minutes@tass_agency (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. 9 of the 9 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 570 comparable posts for this entry, running 4 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).

Recorded under the key clone_copy, 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

26,11526,52826,321.526,1176 August 202612 November 2026
64 measurements spanning 98 days, net -403. 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 26,053–26,590 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
12 Nov 2026, 13:1426,117+2
10 Nov 2026, 08:5926,115-14
8 Nov 2026, 19:0726,129-13
7 Nov 2026, 08:4126,142-7
6 Nov 2026, 06:4126,149-6
5 Nov 2026, 02:4026,155-5
3 Nov 2026, 23:0826,160-7
2 Nov 2026, 22:2526,167-8
1 Nov 2026, 21:4826,175-14
31 Oct 2026, 19:4726,189-12
30 Oct 2026, 18:1026,201-4
29 Oct 2026, 16:4626,205-31
28 Oct 2026, 13:3726,236-11
27 Oct 2026, 12:5626,247-5
26 Oct 2026, 13:5026,252-14
25 Oct 2026, 16:5626,266-16
24 Oct 2026, 15:3626,282-16
23 Oct 2026, 17:3626,298+2
22 Oct 2026, 20:1926,296-7
21 Oct 2026, 18:0126,303first reading

Engagement

1,433 posts held, back to 3 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 150 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.02%
avg views ÷ 26,117 subscribers
Avg views / post
1,310
633 posts measured
Reaction rate
4.16%
reactions ÷ views · ER floor
Posts in window
633
of 1,433 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 held1,433 (3 June 2026 – 12 November 2026)
Views total830,513
Reactions total34,543
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 18:27 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
≈9,670
Videos
≈6,010
Links
≈33,600

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
3h 01m
Average length
4m 32s

Measured directly from 40 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

54,379 reactions across 1,000 posts, in 51 distinct kinds. The most used accounts for 43.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍23,53643.3%
❤13,43624.7%
🔥10,30519.0%
🙏3,3436.15%
💯1,3282.44%
👏6791.25%
🤔6331.16%
❤‍🔥1760.324%
🕊1360.25%
🤬1120.206%
👎990.182%
⚡960.177%
😁800.147%
🤝540.099%
🤡540.099%
🤯540.099%
🥰360.066%
😱270.05%
💊260.048%
🎉200.037%
31 further kinds1490.274%

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 1,000 of the 1,000 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 54,379 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 3 September 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.

Recent posts

Telegram’s own ‘edited’ marker: 9 of 633 posts held from the last 30 days (1.42%) 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, 17:53 UTC292 views3 reactionsread 12 November 2026

https://rutube.ru/video/06b7dbcf50ed8b078f15d7ff2cbb3035/

👍3

12 Nov 2026, 17:52 UTC310 views3 reactionsread 12 November 2026

https://rutube.ru/video/812aff3bad1d4391ec0473f21fa33c42/

❤3

12 Nov 2026, 17:51 UTC285 views4 reactionsread 12 November 2026
Video

Комментарий помощника Президента России Юрия Ушакова по итогам встречи Владимира Путина со спецпосланником Президента США Стивеном Уиткоффом и Джаредом Кушнером Подробнее – на сайте Кремля.

👍4

12 Nov 2026, 12:51 UTC≈1,250 views49 reactionsread 12 November 2026

❗️Путин встретился в Кремле с Уиткоффом и Кушнером. Главное из заявлений Владимира Путина: ▪️Президент РФ отметил наличие успеха на гуманитарном треке по Украине. ▪️Путин попросил передать благодарность Трампу за организацию контактов России и Украины и Мелании Трамп за участие в решении гуманитарного вопроса вокруг Алешек; ▪️Российский лидер предложил организовать гуманитарную миссию из Константиновки по опыту А…

❤28🙏13🔥5👍3

12 Nov 2026, 12:32 UTC≈1,240 views28 reactionsread 12 November 2026

Морская пехота https://youtu.be/HMGZ6DS9ZJg

🔥21❤4🙏3

12 Nov 2026, 12:24 UTC≈1,250 views46 reactionsread 12 November 2026

Адмирал Ушаков https://youtu.be/R1BgwYedejs

❤32🔥9🙏5

12 Nov 2026, 12:23 UTC≈1,160 views44 reactionsread 12 November 2026

Путин попросил Уиткоффа и Кушнера передать благодарность Трампу за организацию контактов России и Украины.

❤24👍18🤔2

12 Nov 2026, 12:23 UTC≈1,100 views39 reactionsread 12 November 2026

❗️Мединский, Дмитриев и Ушаков принимают участие во встрече Путина с эмиссарами США Уиткоффом и Кушнером. ✔️ Подпишись на ТАСС в "Максе"

❤20👍19

12 Nov 2026, 12:22 UTC≈1,160 views26 reactionsread 12 November 2026

https://rutube.ru/video/06b7dbcf50ed8b078f15d7ff2cbb3035/

👍20🔥6

12 Nov 2026, 12:21 UTC≈1,140 views28 reactionsread 12 November 2026

https://rutube.ru/video/795570aa9c7b9177053f0c98aebdf16b/

👍25🙏3

12 Nov 2026, 10:53 UTC≈1,230 views34 reactionsread 12 November 2026

https://rutube.ru/video/795570aa9c7b9177053f0c98aebdf16b/

👍29🔥5

12 Nov 2026, 10:46 UTC≈1,220 views45 reactionsread 12 November 2026

https://rutube.ru/video/19263129d2ec76d1f008693320ee67d5/

👍38🙏5❤2

Showing the 12 most recent of 1,433 posts we hold for @igor_panarin. 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 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Злой эколог
@zloyecolog · 112,019
#1
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#2
Артамонов: Оборона России
@nationaldef · 114,736
#3
Олег Царёв
@olegtsarov · 401,214
#4
Русский Демиург
@rus_demiurge · 114,897
#5
ZERGULIO
@SergeyKolyasnikov · 443,771
#6
ГИБРИДНАЯ ВОЙНА
@hybridwarfare · 20,282
#7
МАРДАН
@mardanaka · 208,266
#8
Выход из матрицы - В. Куланов
@v_kulanov · 7,026
#9
Брекотин
@brekotin_sergey · 50,486
#10
Павел Онищенко НОВОСТИ
@Onishchenko001 · 51,183
#11
Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,661,091
#12
Саня во Флориде
@sanya_florida · 905,731
#13
СОЛОВЬЁВ
@solovievlive · 1,113,787
#14
Хазин
@khazinml · 242,575
#15
Шейх Тамир
@sheyhtamir1974 · 359,733
#16
Мир Михаила Онуфриенко
@mikle1on · 483,540
#17
Поддубный |Z|О|V| edition
@epoddubny · 567,778
#18
ТАСС
@tass_agency · 569,137
#19
Colonelcassad
@boris_rozhin · 750,635
#20
Старше Эдды
@vysokygovorit · 484,806
#21
Дмитрий Никотин
@dmitrynikotin · 695,684
#22
Дмитрий Василец
@VasiletsDmitriy · 345,220
#23
Hyperborea
@hyperboreaX · 58,274
#24
Readovka
@readovkanews · 2,015,419
#25
Осташко! Важное
@ostashkonews · 426,398
#26
Пул N3
@dimsmirnov175 · 330,919
#27
Милитарист
@infantmilitario · 275,861
#28
Клуб Русской Правды🇷🇺
@clubpravda · 86,947
#29
Резидент
@rezident_ua · 962,361
#30
ЕЖ
@ejdailyru · 663,755
#31
Zлой Пруф️
@proofzzz · 605,158
#32
Профессор смотрит в мiръ. Авторский Анонимный канал Дмитрия Евстафьева
@dimonundmir · 205,226
#33
Кот Костян - официальный канал🇷🇺
@kotreal · 154,668
#34
МИГ России
@mig41 · 476,345
#35
Украина.ру
@ukr_2025_ru · 493,876
#36
Неофициальный Безсонов
@NeoficialniyBeZsonoV · 241,915
#37
Tynu40k Goblina (oper.ru)
@oper_goblin · 490,167
#38
Юрий Баранчик
@barantchik · 90,600
#39
Сладков+
@sladkov_plus · 692,737
#40
Win-Win
@victorstepanych · 155,122
#41
Политджойстик / Politjoystic ™
@politjoystic · 250,558
#42
Минобороны России
@mod_russia · 649,746
#43
Kotsnews
@sashakots · 469,228
#44
Дмитрий Медведев
@medvedev_telegram · 1,688,200
#45
Китай — Вавилов
@shuohuaxia · 143,293
#46
Каринэ Геворгян. Избранное.
@gevorgyankarine · 108,355
#47
Александр Семченко
@AleksandrSemchenko · 235,435
#48
Мир в Моменте
@MIrvMomente · 73,048
#49
Rogandar NEWs: Новости, факты, события!
@Rogandar · 119,388
#50
#МОНТЯН!
@montyan2 · 294,958
#51
БЕЗ «УМНЫЕ» ПРОРОЧЕСТВА
@crazyprophecies · 106,785
#52
Образ будущего
@obrazbuduschego2 · 163,839
#53
НЕЗЫГАРЬ
@russicaru · 420,007
#54
Михаил Хазин
@hazinOpen · 50,002
#55
WarGonzo
@wargonzo · 737,693
#56
Апти Алаудинов «АХМАТ»
@AptiAlaudinovAKHMAT · 199,660
#57
Рамзай
@ramzayiegokomanda · 150,882
#58
Геоэнергетика ИНФО
@geonrgru · 138,997
#59
Михаил Хазин предупреждал
@mikhailkhazin · 58,619
#60
Бочарик (ага, тот самый)
@botcharov · 209,168
#61
Абзац
@absatzmedia · 131,619
#62
Знаки. Зелёная Тара
@ZnakiZelenaTara · 3,461
#63
ГАСПАРЯН
@ASGasparyan · 172,893
#64
PeachBlossom
@peach_blossombazi · 64,552
#65
Мария Захарова
@mariavladimirovnazakharova · 458,003
#66
Влад Фридом
@vladfreedomevolve · 42,287
#67
Пономарь
@ponomarb1 · 123,758
#68
Николай Стариков
@nstarikovru · 84,821
#69
ГЕОСТРАТЕГ
@geostrategrus · 123,575
#70
КазакоV
@ale_kazakov · 47,108
#71
Говорит Фурсов
@govoritfursov · 129,098
#72
ANNA NEWS
@anna_news · 228,509
#73
СВЕЖЕСТИ
@svezhesti · 141,096
#74
ФКТ
@fctaltai22 · 27,593
#75
Дорогая Хурма
@expensive_hurma · 151,014
#76
Ekaterina Sinitsyna Santoni гид Рима, Ватикана и Сиены.
@ekaterinasinitsynasantoni · 19,034
#77
Захар Прилепин
@zakharprilepin · 221,419
#78
Андрей Девятов. Небополитика
@andrejdevyatov · 25,306
#79
ДРОБНИЦКИЙ
@DDrobnitski · 78,953
#80
Выпускайте КракенаZ!
@rlz_the_kraken · 516,363
#81
Репортёр Руденко V
@RtrDonetsk · 153,097
#82
МЕТАМЕТРИКА
@Metametrica · 123,795
#83
БЕСОГОН
@nikitabsg · 386,994
#84
КОРНИЛОВ
@kornilov1968 · 118,058
#85
ДОКТОР СОСНОВСКИЙ
@dr_alex_sosnowski · 113,603
#86
Михаил Советский
@mihail_sovetskij · 101,542
#87
АРХАНГЕЛ СПЕЦНАЗА
@arx_spn · 1,018,125
#88
НЕБОЖЕНА
@imnotbozhena · 503,516
#89
Саваничи 🇷🇺
@savanichi · 192,533
#90
Светлана Драган
@svetlanadragan · 113,095
#91
Михаил Хазин Публикации
@khazinmikhail · 51,413
#92

Read from Telegram’s recommendation API, most recently 12 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.

Ekaterina Sinitsyna Santoni гид Рима, Ватикана и Сиены.
@ekaterinasinitsynasantoni · 19,034
Telegram ranks this channel #23 of 87 here — alongside 86 others — read 4 October 2026
ГИБРИДНАЯ ВОЙНА
@hybridwarfare · 20,282
Telegram ranks this channel #26 of 86 here — alongside 85 others — read 27 September 2026
ЗАУГЛОМ
@ZaUglom2024 · 55,545
Telegram ranks this channel #27 of 94 here — alongside 93 others — read 23 August 2026
Злой эколог
@zloyecolog · 112,019
Telegram ranks this channel #40 of 91 here — alongside 90 others — read 14 August 2026
Константин Сивков official
@Sivkov_K · 23,287
Telegram ranks this channel #57 of 94 here — alongside 93 others — read 18 September 2026
Виктор Ефимов
@viktorefimof · 26,486
Telegram ranks this channel #77 of 95 here — alongside 94 others — read 12 September 2026
Влад Фридом
@vladfreedomevolve · 42,287
Telegram ranks this channel #77 of 92 here — alongside 91 others — read 28 August 2026
СРОЧНО, НОВОСТИ! (БУДДА ГРИШНА НОВОСТИ)
@buddagrishna · 44,723
Telegram ranks this channel #84 of 88 here — alongside 87 others — read 18 September 2026

This channel appears in 8 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.

“Профессор Игорь Панарин” (@igor_panarin), 26,117 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/igor_panarin.

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.