Telegram RegisterThe public register of Telegram

Channel

Университет НЕЙМАРК

@universityNeimark

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

715subscribers

+22 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003027765683
TypeChannel
Username@universityNeimark
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/universityNeimark

Growth

6937157046 August 2026 — 693 subscribers7 August 2026 — 701 subscribers14 August 2026 — 715 subscribers6 August 202614 August 2026
3 measurements spanning 7 days, net +22. 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 690–718 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 10:07715+14
7 Aug 2026, 20:54701+8
6 Aug 2026, 22:17693first reading

Engagement

13 posts held, back to 28 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
41.9%
avg views ÷ 715 subscribers
Avg views / post
300
13 posts measured
Reaction rate
4.34%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 August 2026
Posts held13 (28 July 20266 August 2026)
Views total3,896
Reactions total169
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 22:17 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

169 reactions across 13 posts, in 45 distinct kinds. The most used accounts for 9.47% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 5229058898320725401169.47%
custom 536652444193524879884.73%
custom 524499386264403689174.14%
custom 525132693795088133874.14%
💯74.14%
custom 523560729751795386763.55%
custom 524724827379784245963.55%
custom 546325691085154681763.55%
custom 523580720677075040752.96%
custom 524708423181694165652.96%
custom 534858307934461239852.96%
custom 536209640366751916452.96%
custom 538856928070495112752.96%
custom 540232434726210818352.96%
custom 530312486201593991142.37%
custom 532554780393657203842.37%
custom 540451958235648005642.37%
custom 543828813995105189542.37%
custom 544054937151290881242.37%
custom 546305421845988477942.37%
25 further kinds5230.8%

Custom emoji. 19 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 areTelegram’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 13 of the 13 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 169reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 28 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.

Recent posts

6 Aug 2026, 14:31 UTC117 views6 reactionsread 6 August 2026

Posted without readable text

custom 52356134908607979453custom 52290588983207254012custom 52584575113751750531

6 Aug 2026, 12:52 UTC236 views11 reactionsread 6 August 2026
Video

Театр, который невозможно показать на сцене 👩‍🍳 А если спектакль происходит не внутри здания, а внутри самого кампуса? >> С 7 по 9 августа территория коливингов Университета НЕЙМАРК превратится в настоящую театральную площадку. Прямо напротив корпуса №9 пройдёт показ спектакля «Мы» по мотивам романа Евгения Замятина. 💳 Кампус становится частью истории. Архитектура, дворы, пространство вокруг — всё превращается в де

custom 52290588983207254015custom 54045195823564800564custom 52471424200338449461custom 54632569108515468171

5 Aug 2026, 09:32 UTC167 views22 reactionsread 6 August 2026
Photo

Напиши научную статью на тему... // Признайтесь, хотя бы раз хотели заюзать такой способ, когда сидели над курсовой или статьей в два часа ночи. Открываешь чат, вставляешь тему — и через минуту получаешь готовый текст. Ура, проблема решена!!! 😅 НО…. Начинаешь читать и понимаешь: вроде всё написано правильно, а сказать этим текстом нечего. ИИ сегодня действительно умеет многое. ❗️ Он помогает собрать структуру стать

custom 52290588983207254019custom 52356072975179538676custom 54632569108515468175custom 52357658634155574911custom 52471424200338449461

4 Aug 2026, 10:09 UTC654 views22 reactionsread 6 August 2026
Photo

«Самое главное для победы — уметь взять себя в руки и вместо просмотра сериальчика пойти ботать» Серёжа Ерошкин начал участвовать в олимпиадах ещё в начальной школе. Интенсивная подготовка помогла ему стать призером регионального этапа ВсОШ по информатике, а позже — поступить в НЕЙМАРК на программу «Сопряжённая разработка программного и аппаратного обеспечения». 👉 Как готовился к олимпиадам? 👉 Что оказалось сложнее

custom 53665244419352487988custom 53620964036675191645💯3custom 53571312625595437233🍓1👏1custom 53483076602717884041

3 Aug 2026, 13:21 UTC231 views16 reactionsread 6 August 2026

Posted without readable text

custom 52513269379508813387custom 53751423625341486493custom 54698825851003398823🍓2💯1

31 Jul 2026, 11:01 UTC306 views6 reactionsread 6 August 2026
Photo

Научный факт или миф? В интернете можно найти ответ почти на любой вопрос. При этом некоторые заблуждения живут десятилетиями ⁉️ Сделали небольшой фактчекинг вместе с кандидатом биологических наук, ведущим научным сотрудником Центра нейроморфных вычислений Университета НЕЙМАРК Никитой Григорьевым. #разборНЕЙМАРК

custom 54023589732884453303custom 53391885513492076022custom 54043437249205651931

31 Jul 2026, 08:57 UTC635 views17 reactionsread 6 August 2026
Video

Все действия были выполнены профессионалами! Пожалуйста, не пытайтесь повторить это дома ⚠️ Студенчество — время шалостей и экспериментов, возможность получить ИнДиВиДуАлЬнЫй опыт :) Соберём весь лор общаги в комм? #КоливингиНЕЙМАРК #СтудЖизньНЕЙМАРК

custom 52449938626440368917custom 54405493715129088124custom 52357658634155574912custom 54271680830746289632custom 52243114046804824631custom 53483076602717884041

30 Jul 2026, 13:01 UTC311 views9 reactionsread 6 August 2026
Photo

💻 Создаём личного ИИ-эксперта для учёбы Чтобы каждый раз не искать нужную информацию на сотнях страниц учебников или конспектов, можно сделать удобную базу знаний по предметам и проектам. Новый инструмент нашли на GitHub, называется book-to-skill. 👉 Загружаете pdf, epub, docx или другой формат в систему; 👉 После обработки можно задавать вопросы и получить ответы прямо по содержимому учебника, без «воды» и выдумок;

custom 53485830793446123984custom 53885692807049511273custom 54404082174127258071custom 54701117344904755891

30 Jul 2026, 10:46 UTC264 views7 reactionsread 6 August 2026

Posted without readable text

custom 52493584728347260152custom 53885692807049511272custom 54701117344904755892custom 53485830793446123981

29 Jul 2026, 13:05 UTC251 views23 reactionsread 6 August 2026
Photo

Некоторые лекции должны оставаться скучными 👆 Каждый хоть раз сидел на паре с мыслью: «Когда уже будет что-нибудь интересное?» Да, было. // Хочется больше практики, кейсов, мемов, интерактива, чтобы препод был на одной волне. И это вполне нормальное желание. Но не все лекции обязаны быть прикольными 🙁 >> Есть темы, которые невозможно превратить в шоу. Потому что их задача — не развлечь, а собрать у вас в голове фун

custom 52472482737978424596custom 52470842318169416565custom 53031248620159399114💯3custom 52357476871139613592🍓1custom 53187842311727439511custom 53324045603108527051

28 Jul 2026, 14:19 UTC236 views11 reactionsread 6 August 2026

Posted without readable text

custom 52358072067707504075custom 54630542184598847794custom 54382881399510518952

28 Jul 2026, 14:15 UTC224 views10 reactionsread 6 August 2026
Video

Летний VIP-режим активирован 😎 Когда все разъехались по домам, общага внезапно стала… личной резиденцией. А где вы заспавнились на каникулы? #КоливингиНЕЙМАРК #СтудЖизньНЕЙМАРК

custom 53255478039365720384custom 52220799544218182672custom 53998997136694404922custom 54382881399510518952

Showing the 12 most recent of 13 posts we hold for @universityNeimark. 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 — 14,298 of 1,480,688entries 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

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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“Университет НЕЙМАРК” (@universityNeimark), 715 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/universityNeimark.

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.