Telegram RegisterThe public register of Telegram

Channel

Регионо/логика

@regionologic

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

127subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001631554932
TypeChannel
Username@regionologic
DescriptionО регионологии и логике регионов
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/regionologic

Growth

1276 August 2026 — 127 subscribers9 August 2026 — 127 subscribers6 August 20269 August 2026
2 measurements spanning 3 days. 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 126–128 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 02:01127no change
6 Aug 2026, 13:18127first reading

Engagement

19 posts held, back to 21 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
47.1%
avg views ÷ 127 subscribers
Avg views / post
59.8
5 posts measured
Reaction rate
8.70%
reactions ÷ views · ER floor
Posts in window
5
of 19 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 7 August 2026
Posts held19 (21 April 20267 August 2026)
Views total299
Reactions total26
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 02:01 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
329
Videos
1
Links
310

Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

171 reactions across 19 posts, in 19 distinct kinds. The most used accounts for 36.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6336.8%
🔥1911.1%
👏179.94%
👍137.60%
🥰137.60%
🤩116.43%
🎉84.68%
❤‍🔥63.51%
42.34%
🎃31.75%
💯31.75%
🍾21.17%
👨‍💻21.17%
👻21.17%
🍓10.585%
🐳10.585%
💘10.585%
😍10.585%
🫡10.585%

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 19 of the 19 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 171reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 21 April 2026 to 7 August 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

7 Aug 2026, 10:02 UTC40 views11 reactionsread 9 August 2026
Forwarded from @anthropologhettoPhoto

In memoriam: Елена Трубина (1957-2026) Тяжелейшая потеря для гуманитарных наук о городе - ушла из жизни Елена Трубина, блестящая исследовательница мирового масштаба, которая на заре российской урбанистики познакомила воодушевленных, но слабообразованных городских практиков с базой мировой городской теории. И одновременно задала в России систему координат и ориентиров в городских исследованиях, которой полтора десяти

10🫡1

5 Aug 2026, 07:53 UTC47 views2 reactionsread 9 August 2026

Китайский научный текст: идеология VS прагматика Иван Зуенко в своем канале опубликовал пост о статье Игоря Денисова про опасность некритического отношения к китайским текстовым источникам. Не могу не согласиться с важностью этой проблемы, тем более, что я предпринял попытку частично решить ее в своей докторской. Изучая китайское социальное управление, я столкнулся с тем, что полевые социологические методы тут прак

🤩1🥰1

3 Aug 2026, 01:38 UTC65 views7 reactionsread 9 August 2026
Photo

Российское регионологическое знание: истоки, эволюция, перспективы А тут вот моя статья про развитие регионологии в России опубликована в журнале «Китайское славяноведение». Журнал издается Пекинским университетом иностранных языков, где я выступал с докладом по этой теме, и коллеги заинтересовались материалом. Рецензирование довольно строгое, мне пришлось серьезно доработать статью, но это пошло ей на пользу. Эта

4💘1🔥1🤩1

24 Jul 2026, 05:42 UTC76 views2 reactionsread 9 August 2026
Forwarded from @where_the_river_flows

А тем временем вышел новый (3, 2026) номер Периферии. Открывает номер перевод главы "Маргинальность: центры, периферия, окраины и заброшенные места" из книги Research Companion to the Periphery and Peripheral Regions: Concept, Diagnosis, Dilemma (2025). Текст интересен не только удачной систематизацией и сопоставлением понятий периферии и маргинальности, но и довольно новым для отечественной социогуманитаристики кон

1🎉1

23 Jul 2026, 11:14 UTC71 views4 reactionsread 9 August 2026
Forwarded from @where_the_river_flowsPhoto

Еще одно напоминание (миль пардон!) 22-24 октября в рамках Томского антропологического форума мы вместе с Леонидом Бляхером проводим секцию «Вахта и «пустота»: новые мобильности в центрах и перифериях». Мы приглашаем к обсуждению вопросов о том, ограничивается ли влияние «вахты» лишь относительно небольшой общностью? Какое влияние «вахта» и шире – новые мобильности оказывают на периферии, выступающие местом занятости

2👏1🥰1

14 Jul 2026, 09:25 UTC84 views7 reactionsread 9 August 2026
Forwarded from @anthrocore

Наконец-то вышла еще одна наша с Евгением Владимировичем статья по теории и методологии региональных исследований. На этот раз мы попробовали применить теоретические построения Мануэля Деланды, чтобы еще ближе подобраться к тому, как вообще можно "препарировать" регион. Регион, пожалуй, в самом широком смысле - от городского квартала до макрорегиона. Правда, вопрос масштаба прямо в статье не рассматривается. И лично

2👍2🎉1🔥1🤩1

14 Jul 2026, 09:23 UTC80 views7 reactionsread 9 August 2026

Вышла ещё одна очень для меня значимая статья по теории трансдисциплинарной регионологии, "Регион в сборке", в развитие идей Мануэля Деланды в приложении к региону. Мы написали её в соавторстве с замечательным Кириллом Андреевичем Ивановым и нашим общим студентом, стажером Научно-исследовательского центра трансдисциплинарной регионологии, Иваном Семёновым. Приятно, что наши методологические разработки вышли в ещё одн

3👍2🔥1🥰1

6 Jul 2026, 13:37 UTC106 views4 reactionsread 9 August 2026
Forwarded from @cleanponds747

Секция "Этничность в прожекторе когнитивных социальных наук" на ТАФ 2026 Друзья, 22-24 октября планируется регулярный, уже IV, Томский антропологический форум, на котором мы продолжаем поворачивать исследования этничности в когнитивную сторону. Можно податься с тезисами. Здесь описание секции. Что здесь будет нового. Год назад на КАЭР когнитивная социология/антропология этничности была заявлена, уже совсем скоро под

2🔥1🥰1

1 Jul 2026, 06:40 UTC117 views8 reactionsread 9 August 2026
Forwarded from @anthrocorePhoto

Нифига себе прикол!

3🎉2👍1🔥1🤩1

1 Jul 2026, 06:40 UTC117 views9 reactionsread 9 August 2026

Неожиданное прочтение нашей статьи. Скорее всего, Ансси Пааси увидел, что мы его процитировали, но сам факт, конечно, радует. 👇 Регионо/логия

3🥰3🎉1👏1🔥1

17 Jun 2026, 20:57 UTC160 views5 reactionsread 9 August 2026

Регионы, дискурсы и прогулки по улицам Тайваня А я снова про методы изучения региональной специфики, и сегодня опять пост-кроссовер между двумя каналами, поскольку касается он и китаеведения, и регионологии. И он про выявление регионального дискурса. Это ещё один из докладов на "VIII Готлибовских чтениях", а теперь и статья в сборнике, материал подготовил Владимир Анатольевич Курдюмов. В настоящее время он занимает

2👍1👏1🥰1

15 Jun 2026, 09:43 UTC158 views20 reactionsread 9 August 2026
Photo

Регион, идентичность, трансдисциплинарность В связи с проблемой национальной идентичности сломано уже немало копий, а наша коллега, лингвист и регионолог из Беларуси Инна Ильичева, как мне кажется, движется в верном направлении - изучает идентичность региональную. Недавно она рассказывала об этом на "VIII Готлибовских чтениях", а статью уже можно почитать в сборнике. Ее интересует построение матрицы региональной иде

6👏6🔥4🐳1💯1🤩1🥰1

Showing the 12 most recent of 19 posts we hold for @regionologic. 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.

Citation-graph rank

Citation-graph rank — 345,666 of 1,189,255entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 3 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.

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“Регионо/логика” (@regionologic), 127 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/regionologic.

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.