Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
22 measurements spanning 29 days, net +4,151. 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 18,287–23,684 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)
Subscribers
Change
18 Sept 2026, 16:19
23,061
+70
16 Sept 2026, 09:39
22,991
+67
14 Sept 2026, 16:16
22,924
+32
13 Sept 2026, 03:20
22,892
+101
11 Sept 2026, 07:39
22,791
+68
8 Sept 2026, 14:35
22,723
+483
5 Sept 2026, 05:38
22,240
+1,069
3 Sept 2026, 13:55
21,171
+354
2 Sept 2026, 08:33
20,817
+146
1 Sept 2026, 08:17
20,671
+165
31 Aug 2026, 11:35
20,506
+4
30 Aug 2026, 10:07
20,502
+50
29 Aug 2026, 07:25
20,452
+73
28 Aug 2026, 08:25
20,379
+227
27 Aug 2026, 09:04
20,152
+397
26 Aug 2026, 12:25
19,755
+246
25 Aug 2026, 13:42
19,509
+109
24 Aug 2026, 13:53
19,400
+257
22 Aug 2026, 18:24
19,143
+170
21 Aug 2026, 11:23
18,973
first reading
Engagement
79 posts held, back to 16 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 28 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.9%
avg views ÷ 23,061 subscribers
Avg views / post
5,740
38 posts measured
Reaction rate
1.44%
reactions ÷ views · ER floor
Posts in window
38
of 79 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 3 September 2026
Posts held
79 (16 August 2026 – 3 September 2026)
Views total
218,280
Reactions total
3,151
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 16:59 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
5s
Average length
5s
Measured directly from 1 video 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
6,411 reactions across 78 posts, in 34 distinct kinds. The most used accounts for 42.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,751
42.9%
❤🔥
919
14.3%
💘
732
11.4%
👍
321
5.01%
🤣
303
4.73%
🔥
263
4.10%
🤯
228
3.56%
😭
220
3.43%
😱
154
2.40%
💋
65
1.01%
🥰
62
0.967%
👀
56
0.873%
😢
51
0.796%
😁
49
0.764%
🙈
45
0.702%
⚡
39
0.608%
🍓
28
0.437%
🦄
17
0.265%
😍
16
0.25%
🌚
15
0.234%
14 further kinds
77
1.20%
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 78 of the 79 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 6,411 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 79 most recent posts we hold, published 16 August 2026 to 3 September 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
8
across the posts below
Posts paid on
4
of 78 we hold a reading for · 5%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nmt_znohub. 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 79 most recent posts we hold for this entry, published 16 August 2026 to 3 September 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.
💙 ХТО ТАКІ КУРАТОРИ?👩🏽💻
Куратор — це предметний експерт, викладач, який буде супроводжувати кожного учня на тарифі «Premium-контроль» до омріяних результатів
💙Чим він буде допомагати нашим учням? 👀
💙відстежувати прогрес, аналізуючи успішність
💙аналізувати активність та пропуски на платформі (тому забити на підготовку не вдасться!)
💙не лише відповідати на ваші запитання, але й самостійно писати та мотивувати вас п…
💙 Ось і все, тепер ви офіційно 11-класники😁
Діліться у коментарях своїми враженнями та тим, як провели сьогоднішній день!
Не забувайте нам ще й фоточки кидати🔥
💙 11 клас наближається 😱
Ми розуміємо, що більшість із вас цього дуже не хоче, адже на вас чекає нелегкий навчальний рік 👩🏽🏫
💙Але повірте, 11 клас — це ще й спогади з однокласниками, останній рік у якості школяра та багато теплих моментів🫂
Нумо відволічемося від тривожних думок та пограємо в слова📝 Пишіть у коментарях слово, яке асоціюється з 11 класом на останню літеру слова з попереднього коментаря! Ми почнемо:…
💙 Маємо важливу новину
Вже за 2 дні ви офіційно станете 11-класниками й розпочнете свій шлях до омріяних цілей🥹
💙Вільних місць на курсі залишилось дуже мало, адже вже з перших чисел вересня ми розпочнемо повноцінну підготовку 📝
Тим, хто досі відкладав, даруємо останній шанс записатися за найвигіднішою ціною🤫
💙Натискайте сюди та переходьте, щоб дізнатися деталі
💙 ДЕНЬ МАРАФОНУ🥹
Ось і добіг до кінця наш тижневий марафон від бадді
💙Даруємо кожному грамоту за проходження! Ви великі молодчинки, адже тепер вам буде значно легше влитися в підготовку у вересні без перенавантаження 🫶🏼
Що скажете? Будемо робити ще такі активності протягом навчального року?👀
💙Як планувати навчання?
Інна, бадді з української мови: Раджу планувати навчання з кожного предмета за такою схемою: теорія – практика – помилки – повторення. Розподіліть час так, щоб спочатку розібрати нову тему, потім закріпити її тестами й обов’язково проаналізувати помилки, а потім запланувати час на повторення. Плануйте не просто якийсь предмет на певний день, а конкретну кількість часу, яку ви витратите на нав…
❤33❤🔥7💘2
Showing the 12 most recent of 79 posts we hold for @nmt_znohub. 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.
Polls
The 6 most recent of 11 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Коли Акт проголошення незалежності України здобув загальнонародне схвалення?☑️
24 серпня 1991 р.71%
1 грудня 1991 р.21%
6 грудня 1991 р.5%
12 лютого 1992 р.2%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 79 most recent posts we hold, published 16 August 2026 to 3 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 19 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
ЛітЕра (НМТ мова + літ.) 🌾 @literazno · 25,832 Telegram ranks this channel #5 of 84 here — alongside 83 others — read 14 September 2026
Діма 🇬🇧 НМТ англійська @znohub_eng · 43,853 Telegram ranks this channel #5 of 83 here — alongside 82 others — read 29 August 2026
Катя 🇺🇦 НМТ українська @znohub_ukr · 50,726 Telegram ranks this channel #5 of 88 here — alongside 87 others — read 28 August 2026
Крістіна 📈 НМТ математика @znohub_math · 55,604 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 28 August 2026
Яніна ⏳ НМТ історія @znohub_hist · 71,972 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 28 August 2026
TURBO ZNO History | Ілля Літун | НМТ Історія України 2027 @turboznohistory · 41,112 Telegram ranks this channel #11 of 82 here — alongside 81 others — read 30 August 2026
Математика з ЩА ⚡️ Підготовка до НМТ 2027 @abitmath · 31,861 Telegram ranks this channel #17 of 81 here — alongside 80 others — read 6 September 2026
Вступ 2027⚡️Live @vstup · 40,722 Telegram ranks this channel #25 of 84 here — alongside 83 others — read 28 August 2026
Вступ.ОСВІТА.UA️⚡2027 @vstuposvita · 108,044 Telegram ranks this channel #27 of 87 here — alongside 86 others — read 28 August 2026
Українська мова 🇺🇦 @tvoyamova · 62,434 Telegram ranks this channel #35 of 74 here — alongside 73 others — read 3 September 2026
This channel appears in 10 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“НМТ 2027 by ZNOHUB” (@nmt_znohub), 23,061 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/nmt_znohub.
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.