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Channel

Аналитический центр ВЦИОМ

@WCIOMofficial

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

17,273subscribers

+174 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001104078477
TypeChannel
Username@WCIOMofficial
DescriptionОфициальный Telegram-канал Аналитического центра ВЦИОМ Аналитика, данные, исследования, рейтинги, экспертиза [email protected] Правила чата: https://graph.org/Pravila-chata-AC-VCIOM-06-29
Created30 January 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/WCIOMofficial

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 20 August 2026 and assigned it the closest of 31 fixed categories, at 69% 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.

Growth

17,09917,31017,204.55 August 2026 — 17,099 subscribers6 August 2026 — 17,099 subscribers6 August 2026 — 17,105 subscribers7 August 2026 — 17,125 subscribers8 August 2026 — 17,127 subscribers9 August 2026 — 17,123 subscribers10 August 2026 — 17,137 subscribers11 August 2026 — 17,134 subscribers12 August 2026 — 17,146 subscribers13 August 2026 — 17,159 subscribers15 August 2026 — 17,173 subscribers16 August 2026 — 17,179 subscribers18 August 2026 — 17,178 subscribers19 August 2026 — 17,171 subscribers20 August 2026 — 17,170 subscribers21 August 2026 — 17,176 subscribers22 August 2026 — 17,200 subscribers24 August 2026 — 17,209 subscribers25 August 2026 — 17,203 subscribers26 August 2026 — 17,206 subscribers27 August 2026 — 17,194 subscribers28 August 2026 — 17,182 subscribers29 August 2026 — 17,202 subscribers30 August 2026 — 17,204 subscribers31 August 2026 — 17,207 subscribers1 September 2026 — 17,193 subscribers2 September 2026 — 17,180 subscribers3 September 2026 — 17,190 subscribers5 September 2026 — 17,215 subscribers8 September 2026 — 17,203 subscribers11 September 2026 — 17,212 subscribers13 September 2026 — 17,218 subscribers15 September 2026 — 17,210 subscribers19 September 2026 — 17,254 subscribers26 September 2026 — 17,282 subscribers4 October 2026 — 17,276 subscribers8 October 2026 — 17,291 subscribers13 October 2026 — 17,298 subscribers14 October 2026 — 17,303 subscribers15 October 2026 — 17,304 subscribers16 October 2026 — 17,296 subscribers17 October 2026 — 17,293 subscribers18 October 2026 — 17,297 subscribers19 October 2026 — 17,304 subscribers20 October 2026 — 17,310 subscribers21 October 2026 — 17,302 subscribers22 October 2026 — 17,295 subscribers23 October 2026 — 17,287 subscribers25 October 2026 — 17,284 subscribers26 October 2026 — 17,287 subscribers27 October 2026 — 17,285 subscribers28 October 2026 — 17,296 subscribers29 October 2026 — 17,298 subscribers30 October 2026 — 17,290 subscribers31 October 2026 — 17,287 subscribers1 November 2026 — 17,283 subscribers2 November 2026 — 17,288 subscribers3 November 2026 — 17,281 subscribers4 November 2026 — 17,276 subscribers5 November 2026 — 17,273 subscribers17,2735 August 20265 November 2026
60 measurements spanning 92 days, net +174. 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 17,067–17,342 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
5 Nov 2026, 12:1717,273-3
4 Nov 2026, 09:2017,276-5
3 Nov 2026, 10:5617,281-7
2 Nov 2026, 08:2017,288+5
1 Nov 2026, 04:4817,283-4
31 Oct 2026, 06:1917,287-3
30 Oct 2026, 03:3417,290-8
29 Oct 2026, 04:0017,298+2
28 Oct 2026, 03:2517,296+11
27 Oct 2026, 00:4817,285-2
26 Oct 2026, 01:4117,287+3
25 Oct 2026, 00:5817,284-3
23 Oct 2026, 21:4617,287-8
22 Oct 2026, 19:0717,295-7
21 Oct 2026, 17:5917,302-8
20 Oct 2026, 14:0917,310+6
19 Oct 2026, 12:2917,304+7
18 Oct 2026, 13:5917,297+4
17 Oct 2026, 11:3917,293-3
16 Oct 2026, 10:4917,296first reading

Engagement

109 posts held, back to 23 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.3%
avg views ÷ 17,273 subscribers
Avg views / post
1,950
22 posts measured
Reaction rate
1.90%
reactions ÷ views · ER floor
Posts in window
22
of 109 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 5 November 2026
Posts held109 (23 July 2026 – 5 November 2026)
Views total42,886
Reactions total814
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 04:10 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
≈8,100
Videos
≈192
Links
≈8,720

Lifetime counters from Telegram’s own channel header, read 6 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
18m 45s
Average length
2m 41s

Measured directly from 7 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

52,951 reactions across 101 posts, in 15 distinct kinds. The most used accounts for 92.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👎49,02892.6%
🤔1,0632.01%
👍6571.24%
😁5581.05%
🔥5110.965%
❤4580.865%
💯3070.58%
😐1050.198%
🕊810.153%
👏640.121%
😢630.119%
🤯230.043%
🥰150.028%
🎉110.021%
🍾70.013%

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 109 of the 109 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 60,713 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 109 most recent posts we hold, published 23 July 2026 to 5 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: 0 of 22 posts held from the last 30 days (0%) 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).

5 Nov 2026, 16:00 UTC470 views15 reactionsread 6 November 2026
Photo

Кино не просто сохраняет традиции, а переводит их на язык современного зрителя, формируя единый культурный код России В Центре международной торговли Москвы в рамках «Недели народов России» состоялась сессия «Кинокод России: ДНК традиций и народов в кадре будущего», организованная Фондом Инносоциум и Проектом «Душа России». Сессия была посвящена тому, как кино бережно адаптирует и переосмысляет богатое культурное на…

👎9❤5👍1

5 Nov 2026, 14:40 UTC893 views14 reactionsread 6 November 2026
Photo

Как вырастить свободного человека в школе, построенной на принуждении? «Свободный человек – это тот, который не разрушается, когда им перестают управлять. А мы все ждем, что нами будут управлять, подскажут, дадут шаблон. Школа так построена». Что придет на смену шаблону и как подготовить человека к жизни, в которой не получится жить по шаблону? 🗯 Публикуем видеоподкаст эксклюзивно на RUTUBE: интервью психолога, пед…

🤔5👍3👎3❤2🕊1

5 Nov 2026, 10:03 UTC743 views11 reactionsread 6 November 2026
Photo

💬 Об обновленной методике формирования рейтинга киноиндустрии рассказывает заместитель директора по политическим исследованиям, руководитель практики аудита контента АЦ ВЦИОМ Мария Атаева: 💬В обновленной методике мы объединили исследовательский подход с анализом культурного контекста года. При формировании списка фильмов и сериалов мы учитывали такие показатели, как зрительская аудитория, кассовые сборы и пользовате…

❤4👎4👍1🔥1🤯1

5 Nov 2026, 08:02 UTC≈1,240 views30 reactionsread 6 November 2026
Photo

Предпочтения в молодежной аудитории 18-24 лет отличаются от предпочтений россиян в целом Но несмотря на это, лидером в этой аудитории остается история персонажа детства – «Чебурашка 2» (15%). Однако далее картина существенно меняется: второе и третье места занимают проекты с выраженной романтической и драматической составляющей «Сводишь с ума» и «Холоп 3» (по 13%), за которыми следуют «Коммерсант» (12%) и «Король и …

👎14❤8🔥4👍2😁2

5 Nov 2026, 07:00 UTC≈1,320 views35 reactionsread 6 November 2026
Photo

Российские зрители определили лучших актеров и фильмы 2026 года Безоговорочным лидером зрительских симпатий в категории лучших фильмов года стал «Чебурашка 2», получивший 29% голосов. Второе место разделили «На деревню дедушке 2» и «Холоп 3» (по 17%), далее следуют «Последний богатырь. Колобок» (15%) и «Ангелы Ладоги» (14%). В мире сериалов первое место с равным результатом заняли «Невский» и «Склифосовский» (по 16…

😁18❤7👎7👍2🔥1

4 Nov 2026, 08:01 UTC≈1,650 views15 reactionsread 6 November 2026
Photo

📚 Кто станет господствующим классом в посткапиталистическом обществе? Сегодня знакомим вас с участником шорт-листа Книжной премии Грушина в номинации «Лучшая теоретическая работа» – книгой Дмитрия Давыдова «Невозможность социализма» (М.: РИПОЛ, 2025). Работа предлагает неожиданный взгляд на современную левую повестку и формирование новых элит в «экономике творчества». В центре внимания автора — те, кто обладает одн…

❤6👍5😁3💯1

3 Nov 2026, 14:04 UTC≈1,220 views19 reactionsread 6 November 2026
Photo

🔴 Исследования университетской аудитории Сегодня в рамках Школы управления доверием в Мастерской управления «Сенеж» Александр Одинцов, руководитель практики «Молодежь и образование» ДСИ Аналитического центра ВЦИОМ, провел лекцию для проректоров «Результаты исследований в рамках проекта 706/3: молодёжная политика, ценности и психологическое состояние молодёжи». Александр представил результаты последних исследований,…

❤12👍4🔥2🤔1

3 Nov 2026, 12:01 UTC≈1,230 views21 reactionsread 6 November 2026
Photo

👥️ Замена реальных респондентов «синтетическими персонами» кажется заманчивым решением для оптимизации полевых исследований. Современные нейросети легко проходят капчу, выдерживают нужные паузы, поддерживают согласованную биографию и обходят стандартные фильтры качества, безупречно имитируя отдельного человека. Но возникает закономерный вопрос: насколько точно алгоритмы способны отразить реальное общество со всем его…

🔥9👎5🤔4❤3

3 Nov 2026, 10:00 UTC≈1,050 views14 reactionsread 6 November 2026
Photo

💬 О том, как русский язык объединяет страну, сохраняя культурные различия, рассказывает ведущий эксперт Департамента политических исследований Аналитического центра ВЦИОМ Мария Григорьева: 💬Опрос показывает, что россияне в целом не видят противоречия между общим языком и сохранением культурных особенностей. 91% считают, что русский язык объединяет народы страны, а 62% говорят, что сохранять свои традиции и язык сего…

🔥7❤4🥰2👍1

3 Nov 2026, 08:09 UTC≈1,250 views32 reactionsread 6 November 2026
Photo

Русский язык и общая гражданская идентичность остаются главным фундаментом межнационального единства России Для большинства россиян контакты с представителями других народов нашей страны – часть повседневности. Более половины общаются с людьми другой национальности почти ежедневно, у многих (78%) есть друзья иной национальности. Личный опыт напрямую влияет на уровень доверия: без опаски и настороженности к представ…

❤13👎8🥰4👍3😐3💯1

2 Nov 2026, 14:01 UTC≈1,140 views23 reactionsread 6 November 2026
Photo

🔎🔎🔎🔎🔎 Гол из будущего: как растить новых звезд российского футбола ❔️ «Где талантливая молодежь?» – долгие годы этот вопрос оставался одним из самых дискуссионных внутри российского футбола. 🌲 Впрочем, в недавнем исследовании АЦ ВЦИОМ отмечается: молодых талантливых игроков в российских клубах и сборной становится больше, это отмечают 75% болельщиков. Дело за малым – продолжать успешно реализовывать этот потенциал…

👎12❤6👍3🔥1🤔1

2 Nov 2026, 12:05 UTC≈1,280 views67 reactionsread 6 November 2026
Photo

Жесткие запреты в интернете не работают, а возрастные ограничения для использования соцсетей создают лишь иллюзию защиты, не меняя реального поведения подростков в сети 👩 Руководитель пресс-службы АЦ ВЦИОМ Яна Ширяева специально для ТАСС разобрала, как в мире пытаются обезопасить детей в цифровой среде и в чем кроется главная ошибка запретительных подходов. «В России общественная дискуссия о безопасности детей в Се…

👍42❤13💯5🥰5🎉1😁1

Showing the 12 most recent of 109 posts we hold for @WCIOMofficial. 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

@WCIOMofficial 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
11 August 2026
Most recent edit
21 August 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

27 Aug 2026, 12:51 UTCAnonymous Poll832 voters

Какое отечественное кино вам нравится больше?

  1. Картины времен СССР59%
  2. Картины России 90-х49%
  3. Современные картины17%

The shares total 125%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 109 most recent posts we hold, published 23 July 2026 to 5 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republished by

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

Замгубернатора
@matrosou · 39,299
11 posts
СоциоДиггер — дорываемся до сути!
@sociodigger · 602
6 posts
НеБуровая
@neburovaya · 10,035
3 posts
ЛИСТРАТОВ
@politolog_listratov · 15,943
2 posts
Социология внутривенно
@socpovene · 225
2 posts
PRизм
@t_me_prizm · 111
2 posts
Карельский бальзам | Новости
@KB_Announcments · 47,410
1 post
Красный Дрын
@KrasnyiDryn · 5
1 post
Санкт-Петербург Новости
@NewsPeterburg · 36
1 post
ПостСовет
@Post_Sovet · 1,098
1 post
ОБРсерватория
@SKosaretsky · 684
1 post
ОБЪЕКТИВ*ка
@Solonkin_tut_kak_tut · 196
1 post
Пять партий
@agendarussia · 34,764
1 post
Раньше всех. Ну почти.
@bbbreaking · 1,975,928
1 post
БП онлайн
@bponline · 111,514
1 post
Клуб Регионов
@clubrf · 42,449
1 post
Валерий Фёдоров. Механизмы власти
@fedorovwciom · 7,933
1 post
БУДУЩЕЕ ИНКЛЮЗИИ
@futureofinclusion · 9
1 post
Зеленая папка
@greenfolder · 34,480
1 post
ИК «Социология детства»
@ikchildsoc · 39
1 post
ХОДЫКОВ ДЕЛАЕТ
@khodykovx · 152
1 post
Политбюро 2.0
@politburo2 · 39,879
1 post
Oxana Sinyavskaya
@polsocetc · 509
1 post
Референдум 2022
@referendum2022_DPR · 252
1 post
Регионал
@regionalny · 28,786
1 post
Религиоведение
@religiongram · 8
1 post
SHAMAN пресс-служба
@shamanpress · 2,180
1 post
Надежда русской социологии
@sociology_rus · 48
1 post
ТеZис
@tethis · 42,166
1 post
5-я башня Азриэли
@turriscaesaris · 70
1 post
Верносело | Деревенская жизнь
@vernoselo · 47
1 post
Наши
@zalupina93394 · 4
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 147 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.

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.

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.

Опросы и замеры
@oizmedia · 21,770
Telegram ranks this channel #1 of 92 here — alongside 91 others — read 22 September 2026
Социо
@socio_news · 23,813
Telegram ranks this channel #1 of 99 here — alongside 98 others — read 17 September 2026
ФоРГО
@FoRGO_official · 48,524
Telegram ranks this channel #6 of 99 here — alongside 98 others — read 26 August 2026
Политбюро 2.0
@politburo2 · 39,879
Telegram ranks this channel #21 of 95 here — alongside 94 others — read 30 August 2026
ГосСовет 2.0
@GosSovet · 22,596
Telegram ranks this channel #24 of 98 here — alongside 97 others — read 20 September 2026
ЦИК России
@cikrossii · 29,098
Telegram ranks this channel #34 of 93 here — alongside 92 others — read 9 September 2026
ПолитологОрлов
@politolog_Orlov · 20,693
Telegram ranks this channel #39 of 98 here — alongside 97 others — read 17 September 2026
ПолитГид
@explaining · 105,158
Telegram ranks this channel #43 of 100 here — alongside 99 others — read 15 August 2026
Экспертиза. Президентская академия
@ranepa_expertise · 19,320
Telegram ranks this channel #51 of 95 here — alongside 94 others — read 2 October 2026
Общественная палата РФ | ОП РФ
@oprf_official · 21,830
Telegram ranks this channel #53 of 92 here — alongside 91 others — read 22 September 2026
Зеленая папка
@greenfolder · 34,480
Telegram ranks this channel #54 of 99 here — alongside 98 others — read 3 September 2026
Политтранзит
@PolitTransit · 87,456
Telegram ranks this channel #95 of 99 here — alongside 98 others — read 18 August 2026

This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q1512375 on Wikidata, read 1 November 2026
LabelVTSIOM
DescriptionState-owned polling institution
X / Twitter@WCIOM
Official sitehttp://wciom.ru

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Аналитический центр ВЦИОМ” (@WCIOMofficial), 17,273 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/WCIOMofficial.

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.