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Channel

И к селу, и к городу | Этнография и экскурсии с Эльвирой Гептинг

@ikseluikgorodu

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

1,923subscribers

+27 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002002846739
TypeChannel
Username@ikseluikgorodu
Created13 November 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/ikseluikgorodu

Growth

1,8961,9231,909.56 August 2026 — 1,896 subscribers6 August 2026 — 1,896 subscribers6 August 2026 — 1,898 subscribers9 August 2026 — 1,904 subscribers16 August 2026 — 1,923 subscribers6 August 202616 August 2026
5 measurements spanning 11 days, net +27. 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 1,892–1,927 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 17:131,923+19
9 Aug 2026, 11:321,904+6
6 Aug 2026, 21:071,898+2
6 Aug 2026, 06:361,896no change
6 Aug 2026, 02:171,896first reading

Engagement

15 posts held, back to 15 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
38.7%
avg views ÷ 1,923 subscribers
Avg views / post
744
12 posts measured
Reaction rate
7.21%
reactions ÷ views · ER floor
Posts in window
12
of 15 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 6 August 2026
Posts held15 (15 July 20266 August 2026)
Views total8,930
Reactions total644
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:21 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

Video runtime
48s
Average length
48s

Measured directly from 1 video 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

802 reactions across 14 posts, in 15 distinct kinds. The most used accounts for 34.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
27534.3%
❤‍🔥16520.6%
🔥9912.3%
💯627.73%
😁516.36%
💔425.24%
😍334.11%
👏263.24%
👍162.00%
😢162.00%
🕊80.998%
🤔30.374%
20.249%
👎20.249%
🤯20.249%

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 15 of the 15 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 865reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 15 July 2026 to 6 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

6 Aug 2026, 18:49 UTC295 views59 reactionsread 7 August 2026
Photo

Классика детского сатирического фольклора на тротуарах Старой Руссы. Чуть было не лоханулась)

😁3713👍4🔥4🤯1

6 Aug 2026, 09:56 UTC340 views68 reactionsread 7 August 2026
Forwarded from @archichainikPhoto

Открытие дня! В Исландии русский город Великий Новгород по-прежнему, по-ВИКИНГСКИ называют Хольмгардом (Hólmgarður) Если не верите, зайдите в исландскую Википедию:)

❤‍🔥44😁145🔥32

5 Aug 2026, 13:37 UTC383 views5 reactionsread 7 August 2026

Невозможно поверить💔

😢5

5 Aug 2026, 13:37 UTC373 views42 reactionsread 7 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

💔29😢85

4 Aug 2026, 09:21 UTC418 views18 reactionsread 7 August 2026
Forwarded from @momSvulnerability

Рада поделиться своими впечатлениями на этнографию Александры Мартыненко, повествующую о невидимых подвигах и бюрократических уловках воинственно-бесстрашных сотрудниц опеки. Книга «“Бездушные бюрократы”: как устроена работа органов опеки» вышла в 2025 в издательстве «Common Place» при финансовой поддержке фонда «Хамовники». Была потрясена авторским мастерством: видна и школа, и глубина, и научный вклад, и литератур

❤‍🔥6🔥5👏43

2 Aug 2026, 15:03 UTC637 views57 reactionsread 7 August 2026
Photo

Марфа Борецкая (посадница). Знаете ведь такую новгородскую оппозиционерку 15 века? В Новгороде ее имя сейчас звучит не очень часто. Ну разве что экскурсоводы упоминают, показывая туристам ее горельеф на памятнике 1000-летию. А вот в соседней Тверской области Марфа-посадница почитается как святая! Короче, в 1815 году на кладбище в маленьком селе Млево при рытье могилы была случайно обнаружена старая надгробная плита

🔥27❤‍🔥1610👍3🤔1

28 Jul 2026, 16:25 UTC767 views26 reactionsread 7 August 2026

Ооооо! Ужасно рада и благодарна за отзыв💚 А заговоры у меня на любой вкус (только одного, самого главного, увы, нет) – обращайтесь!

15🔥6👏5

28 Jul 2026, 16:25 UTC687 views59 reactionsread 7 August 2026
Forwarded from @minutka_ethnographyPhoto

Книга «Новгородские мифы» небольшая, однако в ней есть не только ссылки на источники, но и библиография, хотя одно, в общем, дублирует другое. Я не знаю, какой заговор употребила автор книги Эльвира Гептинг, чтобы убедить редакцию «Мифа» не закидывать все это в qr-код. Но страшно завидую. Эльвира, поделитесь заговором, а? Моя книжка про вариации сказок скоро на верстку пойдет, и я хочу, чтобы в ней было, как в вашей

40🔥12👏6🤯1

27 Jul 2026, 09:07 UTC862 views42 reactionsread 7 August 2026
Forwarded from @remestvo

ШРИФТ «ГРАМОТА :АÏ:» КО ДНЮ БЕРЕСТЫ 75 лет назад, 26 июля 1951 года, на Неревском раскопе в Великом Новгороде Нина Фёдоровна Акулова нашла первую берестяную грамоту. Это был небольшой свиток, похожий на берестяной поплавок, на поверхности которого были различимы продавленные остроконечным писалом буквы. Важность этой находки была сразу очевидна Артемию Владимировичу Арциховскому. После слов «Премия – сто рублей» он

34❤‍🔥6👍1🔥1

25 Jul 2026, 19:27 UTC762 views53 reactionsread 7 August 2026
Video

Каждый день смотрю отснятый нами в Поозерье материал для нашего будущего с коллежским асессором фильма –«Лампадошники». И понимаю: продолжительность картины снова будет не менее 58 минут) столько интересного и ценного! Вот маленький фрагмент из беседы с Ниной Семеновной 1940 г.р. (д.Десятины). В этом эмоциональном монологе есть одно особенно интересное выражение, которое я слышу как «Непошково-то шапку снял»… А что

30🔥16😍7

24 Jul 2026, 14:33 UTC886 views90 reactionsread 7 August 2026
Forwarded from @mifbooksPhoto

Кто такой волос и почему его боялись больше змей? Откуда в новгородских водах взялся крокодил-чародей? Почему нельзя свистеть в лесу, трогать «заломы» в поле и что случится, если не угостить хозяина дома молоком? Отправляемся в Великий Новгород и окрестности — с новинкой серии «Мифы от и до. Россия» Эльвиры Гептинг. Основанная на архивных материалах, полевых экспедициях и редких фольклорных записях, книга показывает

44😍17🔥16❤‍🔥9👏4

20 Jul 2026, 15:39 UTC≈2,520 views125 reactionsread 7 August 2026

У меня какой-то кризис восприятия культуры: мне все сложнее потреблять произведения подлых гениев! Физически не могу читать новости о блестящих открытиях одного большого ученого, пропускаю залы с картинами Айвазовского и не пересматриваю фильмы Тарковского. Разумеется, их творения ценные. Но не могу. Тошнит. Ученый муж бросил забеременевшую от него женщину, а потом еще много женщин, и для него нормально вступать в о

💯5533💔13👍8👏7😢3❤‍🔥2👎2

Showing the 12 most recent of 15 posts we hold for @ikseluikgorodu. 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 — 21,345 of 1,548,671entries 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

Republished by

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

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 4 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“И к селу, и к городу | Этнография и экскурсии с Эльвирой Гептинг” (@ikseluikgorodu), 1,923 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/ikseluikgorodu.

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.