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Channel

Зачем мы такие? | Альбина Галлямова

@zachemmt

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

7,814subscribers

-13 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-1002018482155
TypeChannel
Username@zachemmt
Description👩🏻‍🏫🐈 Здесь я просто и интересно рассказываю про human sciences и жизнь молодого учёного Youtube: https://youtube.com/@Zachemmitakie Бусти: https://boosty.to/zmt Дзен: https://dzen.ru/zachemmt Для связи пишите в сообщения каналу
Created12 December 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/zachemmt

Topic

Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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

7,8127,8477,829.56 August 2026 — 7,827 subscribers7 August 2026 — 7,819 subscribers9 August 2026 — 7,815 subscribers12 August 2026 — 7,825 subscribers16 August 2026 — 7,829 subscribers20 August 2026 — 7,832 subscribers24 August 2026 — 7,837 subscribers27 August 2026 — 7,834 subscribers30 August 2026 — 7,832 subscribers1 September 2026 — 7,838 subscribers4 September 2026 — 7,837 subscribers9 September 2026 — 7,846 subscribers13 September 2026 — 7,835 subscribers18 September 2026 — 7,841 subscribers27 September 2026 — 7,847 subscribers5 October 2026 — 7,836 subscribers12 October 2026 — 7,824 subscribers15 October 2026 — 7,819 subscribers18 October 2026 — 7,812 subscribers21 October 2026 — 7,819 subscribers24 October 2026 — 7,824 subscribers27 October 2026 — 7,826 subscribers29 October 2026 — 7,820 subscribers1 November 2026 — 7,815 subscribers4 November 2026 — 7,814 subscribers7,8146 August 20264 November 2026
25 measurements spanning 90 days, net -13. 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 7,807–7,852 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
4 Nov 2026, 12:307,814-1
1 Nov 2026, 20:467,815-5
29 Oct 2026, 19:107,820-6
27 Oct 2026, 03:577,826+2
24 Oct 2026, 07:467,824+5
21 Oct 2026, 02:267,819+7
18 Oct 2026, 09:267,812-7
15 Oct 2026, 07:277,819-5
12 Oct 2026, 10:367,824-12
5 Oct 2026, 12:557,836-11
27 Sept 2026, 17:007,847+6
18 Sept 2026, 00:017,841+6
13 Sept 2026, 17:377,835-11
9 Sept 2026, 18:407,846+9
4 Sept 2026, 21:167,837-1
1 Sept 2026, 15:047,838+6
30 Aug 2026, 00:047,832-2
27 Aug 2026, 06:157,834-3
24 Aug 2026, 00:257,837+5
20 Aug 2026, 02:077,832first reading

Engagement

29 posts held, back to 18 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 26 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.1%
avg views ÷ 7,814 subscribers
Avg views / post
2,590
12 posts measured
Reaction rate
1.84%
reactions ÷ views · ER floor
Posts in window
12
of 29 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 November 2026
Posts held29 (18 July 2026 – 6 November 2026)
Views total31,050
Reactions total570
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 00:19 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
807
Videos
56
Links
733

Lifetime counters from Telegram’s own channel header, read 7 November 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.

Video runtime
24s
Average length
8s

Measured directly from 3 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

1,358 reactions across 28 posts, in 5 distinct kinds. The most used accounts for 51.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤69451.1%
custom 517496322688181940622816.8%
custom 585246470832128389222316.4%
custom 530754038045399229719614.4%
custom 5174952729981748003171.25%

Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 29 of the 29 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 1,401 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 18 July 2026 to 6 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.

Telegram Stars

Stars received
5
across the posts below
Posts paid on
4
of 29 we hold a reading for · 14%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zachemmt. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 29 most recent posts we hold for this entry, published 18 July 2026 to 6 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 12 posts held from the last 30 days (8.33%) 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).

6 Nov 2026, 06:59 UTC836 views88 reactionsread 7 November 2026

Редко делаю репосты о российской политике, но меня поражает, насколько заявленные цели расходятся с практикой. Судя по демографической политике, население у нас воспринимают как идиотов с крайне коротким горизонтом планирования. Как будто решение о рождении ребёнка принимается по принципу: «О, за роды дадут денег — надо рожать!» При этом словно предполагается, что будущие родители не задумываются о том, что будет д…

❤55custom 517496322688181940633

6 Nov 2026, 06:52 UTC794 views28 reactionsread 7 November 2026
Forwarded from @GrudinPhoto

ДЕТСКИЕ ВЫПЛАТЫ ВСЁ? Если года семьи нет, то всё позволено Как вы могли помнить из моих предыдущих постов, главной мерой поддержки молодых семей в России (не путать с мерами стимуляции рождаемости) является ежемесячное пособие по уходу за ребёнком до 1,5 лет. Это фиксированная сумма (от 10 до 83 тысяч, в зависимости от дохода родителя), которая позволяет планировать семейный бюджет на самый нежный возраст малыша. …

❤19custom 51749632268818194069

5 Nov 2026, 12:36 UTC≈1,950 views26 reactionsread 7 November 2026

🤩 Как государства меняют этнический состав населения — и зачем им это нужно? У политолога Джона Макгарри есть интересный термин «демографическая инженерия». В своей статье 1998 г. он разбирает исторические случаи, когда власти пытались менять этнический состав территорий, чтобы укрепить над ними контроль. Зачем это нужно? Представим приграничную область, где значительная часть жителей не доверяет центральной власти…

❤16custom 51749632268818194065custom 58524647083212838925

2 Nov 2026, 19:17 UTC≈1,460 views50 reactionsread 7 November 2026

👶Каждое решение разумно — а детей всё меньше: парадокс современного успеха На YouTube вышло новое видео по моей новой статье "When success stops producing more descendants: Behavioral return, fitness return, and the parity-specific decoupling behind below-replacement fertility" в одном из моих самых любимых журналов — Evolutionary Behavioral Sciences. Почему люди всё реже рожают детей, даже когда хотят стать родите…

❤20custom 530754038045399229719custom 51749632268818194068custom 58524647083212838923

1 Nov 2026, 20:11 UTC≈1,630 views72 reactionsread 7 November 2026
Photo

Welcome to the Upside Down 🎃🎃🎃 Немного вам фоточек с моей ежегодной вечеринки🎎

❤38custom 585246470832128389215custom 530754038045399229714custom 51749632268818194065

28 Oct 2026, 10:10 UTC≈2,290 views31 reactionsread 7 November 2026
Forwarded from @antropole

Лекция в честь защиты кандидатской в субботу, 31 октября 18:00 в Саренке на М. Никитской! Защита диссертации у меня уже совсем близко! Последние штрихи) UPD: Защитилсч!!!🎉🎉🎉 Приглашаю вас на свою праздничную лекцию, которая пройдет в популярном формате специально для всех, кто следит за моим творчеством! Диссертационное исследование без академической нудности) Товарищ по кафедре Коля и бывшая студентка Виктория от…

❤18custom 53075403804539922977custom 51749632268818194066

24 Oct 2026, 16:47 UTC≈2,660 views25 reactionsread 7 November 2026

😿 Что теряется при переезде, кроме привычного адреса В исследовании «Ночлежки» и платформы «Если быть точным» о региональных факторах риска бездомности в России, предложен рейтинг объединяющий 15 показателей — от бедности до семейных связей. Меня особенно заинтересовали примеры из Якутии и Чукотки. В Якутии, по словам представителей местных организаций помощи, на улице могут оказаться люди, у которых формально есть…

❤18custom 58524647083212838926custom 53075403804539922971

21 Oct 2026, 15:27 UTC≈4,530 views58 reactionsread 7 November 2026

В октябре 2026 г. Институт исследований семьи и Институт Уитли выпустили доклад на основе опроса почти 10 тыс. человек из разных стран, включая США, Китай, Японию, Ю. Корею, Израиль и Великобританию. Дополнительно были собраны биографические данные о семейной жизни более 236 тыс. известных людей. Вот наиболее интересные результаты: 1. Друзья способствуют желанию иметь детей. Люди, ожидающие, что друзья обрадуются п…

custom 517496322688181940628❤18custom 58524647083212838928custom 53075403804539922974

20 Oct 2026, 08:09 UTC≈1,960 views22 reactionsread 7 November 2026
Forwarded from @openmind_chanellVideo

По совету Альбины, начал знакомиться с довольно нишевым, но очень интересным автором классической либеральной/либертарианской философии - Гербертом Спенсером. Раньше его работы не встречал, у него из книг только "Личность и государство" переведена на русский язык, потому решил исправить данное недоразумение и перевести его эссе о свободе и том, как стоит к ней относиться в отношениях с государством или с другими фор…

❤13custom 58524647083212838925custom 51749632268818194064

17 Oct 2026, 10:15 UTC≈8,620 views53 reactionsread 7 November 2026

🤓Научные решения непопулярны в политике (гость: Роман Юнеман) Как научные исследования могут влиять на государственную политику и почему научно обоснованные решения далеко не всегда оказываются политически популярными? Об этом рассказывает Роман Юнеман (политик, кандидат политических наук, преподаватель НИУ ВШЭ, сооснователь движения "Общество.Будущее"). Почему в России слабо развита культура независимых аналитичес…

❤26custom 530754038045399229715custom 585246470832128389211custom 51749632268818194061

16 Oct 2026, 15:18 UTC≈2,140 views29 reactionsread 7 November 2026

Завтра выходит подкаст на нашем канале, а пока к ознакомлению доклады ЦАМТ, которые мы в нем обсуждали в том числе🤓 Реформирование миграционной политики Демографическая политика Израильское чудо (наш совместный доклад) Топ-10 мигрантских анклавов

❤12custom 51749632268818194069custom 58524647083212838927custom 51749527299817480031

15 Oct 2026, 13:33 UTC≈2,180 views88 reactionsread 5 November 2026
Photo

Сегодня ровно год, как Маня живёт у нас дома. Ещё давно хотела рассказать, как она у нас появилась, но всё никак не доходили руки. Решила заодно обобщить опыт владения немецкой овчаркой. Важно сказать, что мы не собирались заводить собаку, хотя периодически обсуждали этот вопрос. Но год назад, гуляя в лесу, мы встретили истощённую овчарку, которая увязалась за нами (на предпоследнем фото видно, какой она была). Мы, …

❤61custom 585246470832128389212custom 51749632268818194069custom 53075403804539922976

Showing the 12 most recent of 29 posts we hold for @zachemmt. 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.

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 17 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.

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.

Школа мышления. Вояж в страну загадок.
@shkolamishleniA · 22,766
Telegram ranks this channel #35 of 97 here — alongside 96 others — read 20 September 2026
Теории и Практики
@tandp_ru · 22,017
Telegram ranks this channel #43 of 100 here — alongside 99 others — read 21 September 2026
Зоопарк из слоновой кости
@ivoryzoo · 32,016
Telegram ranks this channel #56 of 97 here — alongside 96 others — read 6 September 2026
Егошин | Кеды профессора
@egoshin_kedprof · 19,496
Telegram ranks this channel #60 of 96 here — alongside 95 others — read 4 October 2026
Наука и университеты
@naukauniver · 43,170
Telegram ranks this channel #69 of 97 here — alongside 96 others — read 28 August 2026
Актион Образование
@action_obrazovanie · 36,627
Telegram ranks this channel #89 of 95 here — alongside 94 others — read 1 September 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Зачем мы такие? | Альбина Галлямова” (@zachemmt), 7,814 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/zachemmt.

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.