Local community — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 why it has no browse page of its own yet.
Growth
15 measurements spanning 42 days, net -8. 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 1,880–1,921 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 04:38
1,900
-5
13 Sept 2026, 03:19
1,905
+1
9 Sept 2026, 14:19
1,904
-12
3 Sept 2026, 21:57
1,916
+31
31 Aug 2026, 12:13
1,885
-4
28 Aug 2026, 07:54
1,889
-1
25 Aug 2026, 01:34
1,890
-3
21 Aug 2026, 03:57
1,893
+1
18 Aug 2026, 06:24
1,892
-2
15 Aug 2026, 15:45
1,894
-1
12 Aug 2026, 12:53
1,895
-2
9 Aug 2026, 23:35
1,897
-9
6 Aug 2026, 15:40
1,906
-2
6 Aug 2026, 11:31
1,908
no change
6 Aug 2026, 09:58
1,908
first reading
Engagement
10 posts held, back to 27 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
47 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 36.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
17
36.2%
❤
12
25.5%
🔥
6
12.8%
👌
5
10.6%
🙏
3
6.38%
🏆
2
4.26%
❤🔥
1
2.13%
👏
1
2.13%
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 10 of the 10 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 27 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 10 we hold a reading for · 10%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sapronov_as. 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 10 most recent posts we hold for this entry, published 27 July 2026 to 6 August 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.
🎷 Любите живую музыку и летние концерты?
7 августа в парке Яуза выступит коллектив «АРТЁМОВ КОМБО». В программе — любимые отечественные мелодии в необычных джазовых аранжировках, свинг, босса-нова и атмосфера настоящего летнего вечера.
📅 7 августа, 19:00
📍 Долина реки Чермянки (Юрловский проезд, д. 8)
Если давно хотели провести вечер в парке под хорошую музыку — отличный повод! #ЛетоВМоскве
Спорт — один из самых простых способов объединить людей. Именно поэтому товарищеские турниры, где на одной площадке встречаются ветераны СВО, молодежь и жители района, всегда собирают команды и зрителей.
Недавно такой матч по стритболу прошел в Бутырском районе. Владислав Гусев не раз говорил о важности проектов, которые помогают ветеранам СВО активно участвовать в общественной жизни и передавать свой опыт молодому …
Сегодня в Центризбиркоме состоялась жеребьёвка, которая определила порядок размещения партий в избирательном бюллетене на выборах в Государственную Думу.
Однако для большинства людей гораздо важнее не номер в бюллетене, а то, насколько последовательно партия работает с запросами жителей и выполняет взятые на себя обязательства.
Именно поэтому «Единая Россия» продолжает формировать Народную программу, опираясь на пр…
🏫 До нового учебного года осталось чуть меньше месяца. В этом году в СВАО после капитального ремонта откроются сразу 14 школ
Вот где обновлённые образовательные учреждения примут учеников уже этой осенью: 👇
• Марьина Роща — школа «Марьина Роща» (Октябрьская ул., 81)
• Бутырский — школа №1236 (ул. Яблочкова, 35Г)
• Лосиноостровский — школа №1381 (Норильская ул., 4)
• Останкинский — школа №1531 (ул. Годовикова, 16А)
•…
📌 Кино под открытым небом, концерты, световое шоу, цирк, мастер-классы и даже встречи с чемпионами — в ближайшие выходные скучно не будет.
Сохраняете афишу на 31 июля – 2 августа!☝️
📲Теперь и в MAX
📌 Какие изменения вступают в силу с 1 августа 2026 года?
✔️Работающим пенсионерам пересчитают пенсии
Социальный фонд автоматически увеличит выплаты тем, кто работал в 2025 году. Максимальная прибавка — до трёх пенсионных коэффициентов.
✔️Вырастут накопительные пенсии
Накопительные пенсии увеличат на 17,3%, а срочные пенсионные выплаты — на 19,3%. Перерасчёт проведут автоматически.
✔️Пенсионерам старше 80 лет и инв…
📌 Уже в эту субботу вас ждут яркие события проекта «Лето в Москве». Держите афишу 👇
🗓 1 августа, суббота
📍 ПКиО «Бабушкинский» (ул. Менжинского, д. 6, стр. 3)
▫️ 18:00 — Концертная программа «Летнее настроение». Выступление Большого сводного хора «Московского долголетия». В программе примут участие заслуженный артист Приднестровья Севлад и солист Илия Бондар.
▫️ 21:00 — Световое шоу от театра огня и света «Маджестик…
🦢 Лебеди на Леоновском пруду уже давно стали одной из главных достопримечательностей парка Яуза. А этим летом у пары появилось потомство.
Мало кто знает, но птенцы лебедей рождаются вовсе не белыми. Первые месяцы они покрыты серым пухом, который помогает им лучше сохранять тепло и маскироваться. Белоснежное оперение появится значительно позже — только к 2-3м годам.
При этом плавать малыши умеют практически с первых…
Вместе с коллегами поздравили с 70-летием генерального конструктора — директора ОКБ имени А. Люльки Евгения Ювенальевича Марчукова.
Вся его профессиональная жизнь связана с этим предприятием: он пришёл сюда ещё студентом, а сегодня уже 16 лет возглавляет одно из ведущих конструкторских бюро страны. Под его руководством создаются и совершенствуются двигатели, которыми оснащаются российские истребители семейства «Су»,…
В Бабушкинском парке на Центральной аллее расцвели яркие лилейники и пышные белые гортензии, а клумбы украшают эффектные лилии. Приходите прогуляться по парку и полюбоваться летним цветением!
📲Теперь и в MAX
❤🔥1👌1
Showing the 10 most recent of 10 posts we hold for @sapronov_as. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Сабина Цветкова @SabinaTsvetkova · 33,065 Telegram ranks this channel #43 of 90 here — alongside 89 others — read 4 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Сапронов | Яуза | Москва” (@sapronov_as), 1,900 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/sapronov_as.
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.