Other / unclassifiable — 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 73% 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
25 measurements spanning 93 days, net -266. 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 7,506–7,852 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
8 Nov 2026, 07:09
7,546
-6
5 Nov 2026, 00:59
7,552
-9
2 Nov 2026, 07:58
7,561
-6
30 Oct 2026, 14:31
7,567
-2
27 Oct 2026, 23:07
7,569
-12
24 Oct 2026, 21:16
7,581
-11
21 Oct 2026, 13:36
7,592
-15
18 Oct 2026, 10:48
7,607
-12
15 Oct 2026, 08:41
7,619
-5
12 Oct 2026, 09:59
7,624
-22
5 Oct 2026, 08:40
7,646
-22
26 Sept 2026, 18:20
7,668
-9
17 Sept 2026, 18:38
7,677
-6
13 Sept 2026, 12:16
7,683
-12
9 Sept 2026, 07:38
7,695
-12
4 Sept 2026, 05:36
7,707
-12
31 Aug 2026, 11:24
7,719
-13
28 Aug 2026, 06:24
7,732
-26
24 Aug 2026, 19:54
7,758
-12
21 Aug 2026, 03:34
7,770
first reading
Engagement
64 posts held, back to 16 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 27 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.4%
avg views ÷ 7,546 subscribers
Avg views / post
1,160
30 posts measured
Reaction rate
1.23%
reactions ÷ views · ER floor
Posts in window
30
of 64 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
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
64 (16 July 2026 – 6 November 2026)
Views total
34,810
Reactions total
428
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 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
Video runtime
2m 48s
Average length
14s
Measured directly from 12 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
1,120 reactions across 64 posts, in 13 distinct kinds. The most used accounts for 65.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
729
65.1%
👍
172
15.4%
🔥
169
15.1%
👎
10
0.893%
👏
9
0.804%
🥰
8
0.714%
😁
7
0.625%
🤮
6
0.536%
💩
4
0.357%
💘
2
0.179%
🤡
2
0.179%
😱
1
0.089%
🤔
1
0.089%
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 64 of the 64 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 1,120 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 16 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.
Recent posts
Telegram’s own ‘edited’ marker: 18 of 30 posts held from the last 30 days (60.0%) 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).
Друзья! Уже завтра 7 ноября (сб.) в Детском (6+) лектории Московского зоопарка в 12.00 и в 14.00 лекция для юных слушателей и их родителей
«Брюхоногие: путешественники с домом на спине»
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Вы узнаете:❓Как во рту умещается терка❓Почему изящные …
👀А вы уже видели древесных дикобразов в Московском зоопарке?
Североамериканские
дикобразы, они же поркупины, они же иглошерсты в природе обитают в лесных районах от северной Мексики до Аляски, предпочитая хвойные и осиновые леса.
7 ноября они станут героями увлекательных занятий для детей 5-12 лет
Рисование (11.00-13.00)
Лепка из глины (13.30-15.30)
Эти грызуны из Северной Америки недавно поселились в нашем зоопа…
Друзья, у Академии Московского зоопарка хорошие новости: для желающих повысить свою квалификацию на курсе «Мастерство подготовки и проведения экскурсии» (зоопарк как музей) - для членов ИКОМ России (индивидуальных и коллективных) действует конкурс на 3 места для участия в тревел-гранте для обучения на курсе
Обратите внимание, что стоимость обучения для победителей тревел-гранта составит 10 тыс. рублей и полностью по…
Кто хочет заглянуть за кулисы зоопарка и попробовать себя в роли кипера❓
Ждём ребят 8-13 лет на программы:
«Юный кипер» 07, 14, 21 ноября 10.00 знакомство с породами кур, гусей, кроликов, морских свинок и устройством загонов, чистка вольеров, приготовление еды, кормление животных.
«Юный кипер. Обогащение для животных» 21 ноября 12:30 знакомство с видами и ролью обогащения среды, создание обогащения для хорей, крыс,…
8 ноября (вс.) в 12.00 в рамках проекта «Театр в библиотеке» в Московском Зоопарке состоится интерактивный спектакль «Лисичкины сказки»
🐾 Приглашаем самых юных зрителей от 3 до 6 лет, конечно, вместе со взрослыми.
🦊 По мотивам русских народных сказок про хитрую Лису, добродушного Волка, смелого Петушка и простодушного Зайчика.
🏡 Сказки оживут в пространстве Библиотеки, а зрители примут живое участие, отгадывая заг…
Что вас ждёт в Детском (6+) лектории Московского зоопарка в эту субботу 07 ноября?
🐚 погружение в загадочный мир морских улиток с морским биологом и преподавателем Геннадием Борисенко
на лекции «Брюхоногие: путешественники с домом на спине» 🌊
Вы узнаете: Как во рту обычной улитки умещается терка❓Почему изящные конусы считаются одними из самых опасных хищников океана, стреляющими ядовитыми гарпунами❓Как устроена сп…
Что выберут ваши дети?
Рисование (11.00-13.00)
Лепка из глины (13.30-15.30)
Или и то и другое?
Каждую субботу приглашаем детей 5-12 лет на увлекательные занятия!
🔍 7 ноября нашими героями станут североамериканские древесные дикобразы, они же поркупины, они же иглошерсты!
Эти грызуны из Северной Америки недавно поселились в нашем зоопарке. Они поедают все виды растительной пищи - кору, желуди, орехи, почки, листья …
Завтра, 5 ноября в 19:30 приглашаем Вас в Открытый лекторий на лекцию:
Вся правда об оленях 🦌
❓Олень — это огромный дикий зверь с ветвистыми рогами или трогательный Бэмби с милыми пятнышками?
Взрослый олень вполне может быть пятнистым, а вот встретить его в дикой природе Подмосковья почти невозможно: в нашем регионе эти животные чаще живут на подворьях и в зоопарках.
На лекции познакомимся с биологией оленей и узн…
Бёрдвотчинг+ФОТО (16+) в парке Сокольники!
📷Добро пожаловать в орнитологическое путешествие наблюдать за птицами с профессиональным орнитологом!
🐦⬛ Во время прогулки вы освоите: распознавание птиц, работу с биноклем и с определителями птиц по внешнему виду, полету и пению, основные приемы фотосъемки птиц.
🕙 Каждое воскресенье с 10 утра 1,5-2 часовая познавательная прогулка-наблюдение 👀.
🦅 Осенний бёрдвотчинг ос…
Детский (6+) лекторий Московского зоопарка приглашает юных слушателей
🐚07 ноября (сб.) погрузиться в загадочный мир морских улиток
🧑🏫на лекции «Брюхоногие: путешественники с домом на спине» от морского биолога и преподавателя Геннадия Борисенко
❓Как во рту обычной улитки умещается терка? ❓Почему изящные конусы считаются одними из самых опасных хищников океана, стреляющими ядовитыми гарпунами? ❓Как устроена спирал…
Приглашаем в ❗НОЯБРЕ❗
Ребят 8-13 лет на программы «Юный кипер» и «Юный кипер. Обогащение для животных».
«Юный кипер» 07, 14, 21 ноября в 10.00 знакомство с породами кур, гусей, кроликов, морских свинок и устройством загонов, чистка вольеров, приготовление еды, кормление животных.
«Юный кипер. Обогащение для животных» 21 ноября в 12:30 знакомство с видами и ролью обогащения среды, создание обогащения для хорей, крыс…
❤12
Showing the 12 most recent of 64 posts we hold for @Moscowzoo_Official_Events. 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.
Posts edited after publishing
@Moscowzoo_Official_Events edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
18 August 2026
Most recent edit
6 November 2026
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 1 registered channel — 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.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Мероприятия Московского зоопарка” (@Moscowzoo_Official_Events), 7,546 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/Moscowzoo_Official_Events.
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.