Telegram RegisterThe public register of Telegram

Channel

AnthropoLOGS

@AnthropoLOGS

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

8,003subscribers

-10 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001479873558
TypeChannel
Username@AnthropoLOGS
DescriptionВзгляд антропологов. Общество, культура, гуманитарные и социальные науки: антропология-этнология-этнография и вот это вот всё. Чат - https://t.me/AnthropoChats Обратная связь - @AnthropoQuestionBot С антропологическим приветом.
Created22 October 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/AnthropoLOGS

Growth

8,0038,0138,0086 August 2026 — 8,013 subscribers6 August 2026 — 8,013 subscribers10 August 2026 — 8,003 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net -10. 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 8,002–8,015 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 05:408,003-10
6 Aug 2026, 19:448,013no change
6 Aug 2026, 03:048,013first reading

Engagement

25 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.7%
avg views ÷ 8,003 subscribers
Avg views / post
1,020
25 posts measured
Reaction rate
2.99%
reactions ÷ views · ER floor
Posts in window
25
of 25 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 August 2026
Posts held25 (29 July 202612 August 2026)
Views total25,389
Reactions total759
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:54 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
3,160
Videos
28
Links
3,210

Lifetime counters from Telegram’s own channel header, read 12 August 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.

Reaction mix

661 reactions across 22 posts, in 12 distinct kinds. The most used accounts for 35.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
23535.6%
😁11918.0%
😢9714.7%
🔥8813.3%
👍487.26%
💯314.69%
🤡203.03%
🤔101.51%
😱50.756%
👎30.454%
🦄30.454%
💩20.303%

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 25 of the 25 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 759reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 29 July 2026 to 12 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

12 Aug 2026, 08:03 UTC620 views8 reactionsread 12 August 2026
Photo

Вообще кейс Мексики хороший случай обсудить вопрос "этнических корней наций". В кавычках — название книги Энтони Смита 1986 года, который очень оперативно отреагировал на рождение модернисткой парадигмы в исследованиях наций в 1983 году (Геллнер — учитель Смита, Андерсон, Хобсбаум), и постарался показать, что европейские нации во многом основывались на более древних образованиях — ethnie, задававших культурный облик

5🤡2🔥1

11 Aug 2026, 14:16 UTC769 views16 reactionsread 12 August 2026
Forwarded from @urbanfolkloreandanthropologyFile

ОБЪЯВЛЯЕТСЯ КОНКУРС НА ЛУЧШУЮ НАУЧНУЮ СТАТЬЮ! Как люди говорят о прошлом и настоящем своих городов? Какие места в городе считаются важными, а какие - страшными? Какие легенды рассказывают о домах с призраками, метрополитене или секретных лабораториях? Как можно посмотреть на перемещения людей из одного города в другой, в пределах одного города, почему так происходит? Как «говорят» разные районы города? Какие слухи о

11👍4🔥1

11 Aug 2026, 06:26 UTC952 views23 reactionsread 12 August 2026
Photo

Признаться, я отложил Глубинную Мексику Бонфиля Батальо, потому что несколько заскучал от знакомых поздне- и пост- советских вайбов о традиционной культуре и утраченных ценностях прошлого, но всё-таки позиция этой работы из Indigenous studies, а вовсе не Volkskunde (изучение народных корней модерных наций) позволяет избегать идеализации индейского прошлого Мексики, и деконструировать его репрезентацию в настоящем: П

14🔥5💯4

10 Aug 2026, 18:30 UTC906 views15 reactionsread 12 August 2026

Платонов и андеграунд Я уже знакомил вас с классикой питерского андеграунда — группой НОМ, и у этой группы есть свои хиты, известные широко в узких кругах. Например, советско-абсурдистская песня "Хор затейников кондукторского резерва", треш-клип на которую середины девяностых был так популярен, что даже переснимался повзрослевшими номовцами через десять лет. НОМ довольно часто перепевал советские песни не меняя ни

🔥15

10 Aug 2026, 13:21 UTC912 views22 reactionsread 12 August 2026
Photo

Коттеджный посёлок "Имение Оржицкого", изучателям нового сельского девелопмента на заметку 😄

😁157

9 Aug 2026, 09:07 UTC983 views24 reactionsread 12 August 2026
Photo

Прочитал роман Юрия Трифонова "Старик", который очень уместно был помещён под одной обложкой с документальной повестью "Отблеск костра", во многом показывающей автобиографическую основу романа. Роман очень хорош, далёк от классических принципов соцреализма, не идеализирует ни героев, ни советскую жизнь. Этим, должно быть, и взошла звезда Трифонова, показала совсем другую литературу, отличную от производственных роман

15🔥6🤡2🤔1

8 Aug 2026, 21:14 UTC≈1,050 views17 reactionsread 12 August 2026
Photo

Как довольно часто превратно понимают "Воображаемые сообщества" Бенедикта Андерсона, и что Андерсон действительно имел в виду (По мотивам беседы в личке)

12👎3💩1🔥1

8 Aug 2026, 15:00 UTC≈1,100 views33 reactionsread 12 August 2026
Photo

Национализм, война и аниме 🐾😁🫣 Приятный сюрприз преподнёс аниме-сериал "Проза бродячих псов", там в конце пятого сезона герои рассуждают о том, как связаны войны и деление мира на нации. Вообще довольно удивительно, как много в манге и аниме совершено адекватной и интересной рефлексии на эту тему, очевидно, трагедия второй мировой наиболее благоприятно в интеллектуальном отношении повлияла на проигравшие страны: пре

20🔥8🤡4💩1

8 Aug 2026, 07:43 UTC≈1,010 views28 reactionsread 12 August 2026
Forwarded from @muhogonPhoto

Обнаружил по приезду, что Мария Тендрякова (преподавала мне этнопсихологию когда-то давно) выпустила книжку, полную антропологической базы: все возможные теории и эксперименты из истории сей науки в ее развитии плюс масса примеров - почему монголы едят руками и почему мужчине нельзя лезть в жилище через женский вход. С некоторой натяжкой можно сказать, что получился целый учебник по культурной антропологии .

👍18🔥64

7 Aug 2026, 22:30 UTC≈1,050 views25 reactionsread 12 August 2026
Photo

Выставка, посвящённая Калевале в петрозаводском Музее изобразительных искусств, оставила самые лучшие впечатления. Художники разных стилей, разных эпох, знаменитый Мюд Мечев, инсталляция рождения Сампо, и даже можно поиграть на кантеле. Так что, придёте в этот храм искусств, не поступайте как Евгений Ройзман, включенный минюстом РФ в перечень иноагентов (если я не обознался, конечно). Пока сотрудник музея объяснял,

18😁7

7 Aug 2026, 07:34 UTC≈1,550 views73 reactionsread 12 August 2026
Photo

Самое невероятное на мемориале Сандармох — это недавно поставленный в ходе "благоустройства" памятник, где в тексте на плите это место памяти пытаются переформатировать из мемориала жертвам сталинских репрессий в мемориал в равной степени жертвам репрессий и жертвам финской оккупации 1941-44 гг. Плита стоит на центральной площадке при входе, и вроде бы создаёт заголовок ко всему комплексу, но на самом деле выглядит и

😢40💯14🤡126👍1

Showing the 12 most recent of 25 posts we hold for @AnthropoLOGS. 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 — 26,256 of 1,169,250entries 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 12 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“AnthropoLOGS” (@AnthropoLOGS), 8,003 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/AnthropoLOGS.

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.