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Channel

Irina Kalabikhina

@kalabikhina

On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

775subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001467800325
TypeChannel
Username@kalabikhina
DescriptionПро демографию и экономику народонаселения через призму жизни кафедры народонаселения ЭФ МГУ, журнала Population and Economics, коллег и партнеров... Исследования, данные, события.
Created2 February 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held2
On Telegramt.me/kalabikhina

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 376 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

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326 more channels are in this same group but not listed individually here.

Growth

7757 Aug 2026, 19:52 — 775 subscribers8 Aug 2026, 01:48 — 775 subscribers7 Aug 2026, 19:528 Aug 2026, 01:48
2 measurements taken within a single day. 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 774–776 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 01:48775no change
7 Aug 2026, 19:52775first reading

Engagement

19 posts held, back to 22 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
30.9%
avg views ÷ 775 subscribers
Avg views / post
240
19 posts measured
Reaction rate
4.74%
reactions ÷ views · ER floor
Posts in window
19
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 (22 July 20267 August 2026)
Views total4,553
Reactions total216
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:48 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
415
Videos
10
Links
880

Lifetime counters from Telegram’s own channel header, read 8 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

216 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 39.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8539.4%
6530.1%
🤔3717.1%
🔥2310.6%
👎62.78%

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 216reactions 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 22 July 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, 20:53 UTC65 views1 reactionsread 8 August 2026
Forwarded from @rbc_newsPhoto

По данным Росстата, 36% занятых в России (26,8 млн человек) работают не по специальности, полученной в ходе обучения, а 2,4 млн занимают позиции, не требующие профильного образования. Полное соответствие должности по уровню и направлению подготовки зафиксировано у 42,5% работников (31,7 млн). «На смену привычной специальности приходит набор компетенций, который позволяет специалисту включаться в разные виды работы и

🤔1

7 Aug 2026, 20:46 UTC67 views2 reactionsread 8 August 2026
Forwarded from @rbc_newsPhoto

Количество пенсионеров в России снизилось на 409,4 тыс. человек по сравнению с прошлым годом — на 1 июня 2025-го на учете в системе Соцфонда состояли 40 856 352 человека, следует из данных фонда. В июне текущего года общее число пенсионеров в России составило 40 446 936 человек. При этом число пенсионеров, продолжающих трудовую деятельность, увеличилось на 621 тыс. человек — до 8,403 млн. Средний размер назначенной

👍2

6 Aug 2026, 09:41 UTC149 views16 reactionsread 8 August 2026
Forwarded from @evidencespacePhoto

Ранний доступ к медицине может продлевать жизнь спустя 70-80 лет. Новая работа Хамида Ногханибехамбари (Hamid Noghanibehambari) и Джейсона Флетчера (Jason Fletcher) “Early Life Healthcare Access and Later-life Mortality: Evidence Using Openings of County Health Departments”, NBER Working Paper No. 35533, июль 2026 г., исследует последствия открытия окружных департаментов здравоохранения (County Health Departments, CH

8👍8

4 Aug 2026, 19:07 UTC200 views27 reactionsread 8 August 2026
Forwarded from @ai_and_dataPhoto

Американский социолог Эрик Кляйненберг в своем масштабном исследовании "Жизнь соло" (книгу я уже рекомендовала ранее на канале) доказал,бум одиночества - это не признак упадка общества. Это признак его богатства, безопасности и развития. Впервые в истории человечества нам не нужно сбиваться в пары просто ради того, чтобы физически и экономически выжить. Кроме вышеуказанной книги, есть еще одно крупное исследование б

12🔥7👍4🤔3👎1

4 Aug 2026, 17:21 UTC201 views11 reactionsread 8 August 2026
Forwarded from @russ_orientalist

Осетинские блогеры обсуждают «феминизацию экономики Осетии» т.е. предпринимательскую активность женщин и увеличение их возможностей в патриархальном северокавказском обществе. Оказывается, что женщины раньше включаются в экономическую жизнь, через малый бизнес, торговлю, салоны красоты, и быстрее делают рабочую и предпринимательскую карьеру, тогда как молодые мужчины ограничены проблемами статуса и устраиваться на ра

11

3 Aug 2026, 14:47 UTC213 views6 reactionsread 8 August 2026
Forwarded from @smuecon218

SUNDAY READING LIST: ОНЛАЙН-ЗНАКОМСТВА 1) Hitsch G. J., Hortaçsu A., Ariely D. Matching and sorting in online dating. AER, 2010 — одна из главных экономических работ об онлайн-знакомствах, где сайт знакомств рассматривается как большой рынок, на котором люди ищут партнёра и одновременно сами являются объектами выбора. Авторы оценивают предпочтения пользователей по данным из их анкет и истории действий на сайте, а за

6

28 Jul 2026, 10:03 UTC349 views15 reactionsread 8 August 2026
Forwarded from @rbc_news

Одна из причин, почему мировой спад рождаемости усугубляется, — несоответствие (mismatch) ценностных установок у женщин и мужчин. К такому выводу пришла лауреат Премии по экономике памяти Альфреда Нобеля 2023 года Клаудия Голдин из США. В статье, посвященной «росту женской автономии» (опубликована в июле 2026 года Национальным бюро экономических исследований США), Голдин пишет, что женщины выступают агентами перемен

🔥13🤔2

28 Jul 2026, 09:16 UTC301 views12 reactionsread 8 August 2026
Forwarded from @rbc_news

Рабочая сила в США сократится на 2,7 млн человек к 2040 году, прогнозирует демограф и создатель крупнейшей в мире базы стандартизированных демографических данных IPUMS Стивен Рагглз. Впервые в истории страны с рынка труда будет уходить больше людей, чем приходить. Антимиграционная политика Трампа уже обрушила прирост рабочей силы с плюс 200 тыс. до минус 70 тыс. человек в месяц, напоминают опрошенные РБК эксперты. А

👍82👎1🤔1

28 Jul 2026, 06:20 UTC292 views18 reactionsread 8 August 2026
Forwarded from @hub_research

🤩Социальная мобильность подталкивает инновации В июле в Nature вышло исследование "Intergenerational Mobility Fosters Innovation in Europe" с атласом социальной мобильности, которое показывает: чем меньше значение "кто твои родители" и чем больше роль собственных способностей и усилий, тем больше инноваций производит регион. Неравенство возможностей лишает страну изобретателей: когда доступ к образованию жёстко при

👍15🔥3

28 Jul 2026, 06:18 UTC247 views17 reactionsread 8 August 2026
Forwarded from @hub_research

🎲Какой у вас тип брака решает ваш уровень образования 🤩В 2025 году вышло исследование, где сравнивали, какой тип брака у людей с разным уровнем образования. Выяснилось: 📍Для пар без высшего образования вероятность брака выше, когда мужчина - основной кормилец и пара достигает базовой экономической готовности (жильё, сбережения и т.д.), а женщина‑кормилец снижает шансы брака: здесь брак по‑прежнему функционирует ка

👍95👎3

28 Jul 2026, 05:47 UTC214 views12 reactionsread 8 August 2026
Forwarded from @hub_researchPhoto

Обратите внимание как на карты из предыдущего поста хорошо ложится карта распространения деменции по странам мира. Так что ситуация сложнее, чем кажется на первый взгляд. Много пересечений. Проблема в старении населения. #старение #демография #деменция

👍82🤔2

28 Jul 2026, 05:46 UTC235 views15 reactionsread 8 August 2026
Forwarded from @politicanimalisPhoto

Жара, кондиционеры и зеленые В Западную Европу пришла жара: во Франции, Португалии и Испания она может достичь 40–45°C . Уже по традиции выходят тексты, в которых авторы пытаются понять, почему в Европе так часто умирают от жары. ▪️Ключевая причина — это банальное отсутствие кондиционеров. А отсутствуют они из-за национальных и общеевропейских регуляций. Например, наличие кондиционера может понизить энергетический

🤔8👍52

Showing the 12 most recent of 19 posts we hold for @kalabikhina. 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 — 907,722 of 1,481,502entries 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

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

“Irina Kalabikhina” (@kalabikhina), 775 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/kalabikhina.

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.