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Channel

Модели ООН СПб

@modelOONspb

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

393subscribers

+73 since we began measuring on 7 October 2026

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

Register entry

Telegram ID-1004369274860
TypeChannel
Username@modelOONspb
Created15 August 2026 — measured — dated from the channel’s first post
First recorded7 October 2026
Last confirmed live11 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 October 2026
On Telegramt.me/modelOONspb

Growth

320393356.57 October 2026 — 320 subscribers7 October 2026 — 320 subscribers11 October 2026 — 393 subscribers7 October 202611 October 2026
3 measurements spanning 4 days, net +73. 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 309–404 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Oct 2026, 02:18393+73
7 Oct 2026, 03:22320no change
7 Oct 2026, 02:47320first reading

Engagement

7 posts held, back to 15 August 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
358.3%
avg views ÷ 393 subscribers
Avg views / post
1,410
4 posts measured
Reaction rate
1.67%
reactions ÷ views · ER floor
Posts in window
4
of 7 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 October 2026
Posts held7 (15 August 2026 – 6 October 2026)
Views total5,633
Reactions total94
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Oct 2026, 03:22 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.

Reaction mix

107 reactions across 6 posts, in 15 distinct kinds. The most used accounts for 24.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2624.3%
custom 52175000246356935062119.6%
custom 52985194974334610581816.8%
custom 53012879732229172311615.0%
custom 530110123663482120554.67%
💩54.67%
🔥43.74%
custom 530117294111382783932.80%
custom 530094519188302165621.87%
💯21.87%
custom 521786450415036875910.935%
❤‍🔥10.935%
👎10.935%
💘10.935%
🥰10.935%

Custom emoji. 7 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 6 of the 7 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 107 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 15 August 2026 to 6 October 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 Oct 2026, 09:45 UTC300 views20 reactionsread 7 October 2026
Photo

ДАЙДЖЕСТ ПАРТНЁРОВ ——————————————— Канал, где собраны возможности для образования, карьеры и самореализации в одном месте! ✈️ StudyGrants - анонсы бесплатных возможностей для молодёжи: 💙 стипендии и гранты на учёбу, исследования, творческие проекты; 💙 бесплатные курсы и программы повышения квалификации; 💙 стажировки и вакансии; 💙 летние школы со стипендиями, лидерские программы, творческие резиденции; 💙 cпонсируе…

❤9custom 52175000246356935067💯2❤‍🔥1🥰1

27 Sept 2026, 12:27 UTC496 views24 reactionsread 7 October 2026

🗝🗝🗝🗝🗝🗝🗝🗝 🗝🗝🗝🗝🗝🗝🗝🗝 🗝🗝🗝🗝🗝🗝🗝🗝 🗝🗝🗝🗝🗝🗝🗝🗝 🗝🗝🗝🗝today 20:00 4 генеральных секретаря расскажут про Модель ООН и ответят на все ваши вопросы! ❗️UPD: Запись прошедшего вебинара https://vk.ru/wall-201992247_1134

custom 53012879732229172318❤6custom 52175000246356935065custom 52985194974334610583💩2

25 Sept 2026, 05:01 UTC617 views32 reactionsread 7 October 2026
Photo

«Я ДЕЛЕГАТ! ВСЁ О МОДЕЛЯХ ООН» открытый вебинар 👑 4 генеральных секретаря 🗓 27 сентября (осталось 2 дня) ⏰ 20:00 спб 🟢 Онлайн (ссылка день в день) Мы расскажет Вам максимально подробно про все правила и нюансы процедуры ООН, чтобы Вы чувствовали себя максимально уверенно на мероприятиях! 🫶 Как подготовить позицию? Как делать поправки? Правила процедуры! Формат мероприятия! Q/A все ваши вопросы! 🫵 >>> …

custom 529851949743346105813custom 53012879732229172316custom 53011012366348212053❤2custom 53009451918830216562👎1💘1💩1

22 Sept 2026, 05:54 UTC≈4,220 views18 reactionsread 7 October 2026
Photo

🌐 МОДЕЛЬ ООН - дипломатическое мероприятие для всех! переговоры / ораторство / знакомства 💡 Представь: Ты делегат. Выступаешь за США 🇺🇸 Решаешь вопросы кибербезопасности, экономики, рабства или терроризма. Задаешь неудобные вопросы Ирану 🇮🇷 Пишешь резолюцию со своим блоком, но кулуарно договариваешься с Китаем 🇨🇳 тактика / анализ / фактчекинг ☄️ Ролевая игра, в которой ты разбираешься в повестке заседания с экспе…

custom 52175000246356935067❤4💩2custom 52985194974334610582custom 53011012366348212052custom 53012879732229172311

18 Aug 2026, 16:07 UTC701 views10 reactionsread 7 October 2026
Photo

🌐 МОДЕЛИ ООН САНКТ-ПЕТЕРБУРГА канал посвящен развитию модельного движения Модели ООН в СПб TG: СПбГУ (ШОС) ВШЭ Политех ГУАП VK: СПбГУ (Смольный) Горный СПбГЭУ 📌 ТРИ ЦЕЛИ 1. Популяризация Моделей ООН. 2. Единение модельного движения. 3. Развитие сообщества в академических и развлекательных направлениях. 💭 Мы будем регулярно публиковать новости и создавать проекты в коллаборации с …

❤5custom 52175000246356935062custom 53011729411138278392custom 53012879732229172311

Showing the 7 most recent of 7 posts we hold for @modelOONspb. 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.

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.

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 11 October 2026 — this entry's latest reading, not the date you are reading this.

“Модели ООН СПб” (@modelOONspb), 393 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/modelOONspb.

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.