Підготовка до НМТ з кайфом — разом з TURBO ZNO 📚
Канал для абітурієнтів, які складають НМТ 2027
▪️покликання на веби
▪️тести, пояснення
▪️файли, лайфхаки
Інші предмети: https://t.me/addlist/j1yeIWl_4Ck0ZmQy
Навчання в кайф з TURBO — easy! 🚀
Created
Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
21 measurements spanning 22 days, net -21. 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 17,834–17,970 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)
Subscribers
Change
30 Aug 2026, 02:26
17,917
+11
28 Aug 2026, 23:56
17,906
+10
27 Aug 2026, 21:48
17,896
+19
27 Aug 2026, 00:52
17,877
+15
25 Aug 2026, 22:03
17,862
-2
24 Aug 2026, 21:14
17,864
+10
23 Aug 2026, 05:44
17,854
-13
21 Aug 2026, 17:59
17,867
+7
20 Aug 2026, 13:42
17,860
+10
19 Aug 2026, 16:03
17,850
-29
18 Aug 2026, 16:05
17,879
-19
17 Aug 2026, 18:12
17,898
-10
16 Aug 2026, 14:46
17,908
+4
14 Aug 2026, 21:04
17,904
-24
13 Aug 2026, 10:08
17,928
-17
12 Aug 2026, 09:18
17,945
+3
11 Aug 2026, 07:05
17,942
+7
10 Aug 2026, 05:38
17,935
-19
9 Aug 2026, 03:01
17,954
+8
8 Aug 2026, 01:31
17,946
first reading
Engagement
225 posts held, back to 7 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 47 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.57%
avg views ÷ 17,917 subscribers
Avg views / post
1,180
224 posts measured
Reaction rate
2.36%
reactions ÷ views · ER floor
Posts in window
225
of 225 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. It is computed over the 223 of 224 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 30 August 2026
Posts held
225 (7 August 2026 – 30 August 2026)
Views total
263,853
Reactions total
6,219
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Aug 2026, 12:52 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
Photos
≈4,890
Videos
≈541
Links
≈2,800
Lifetime counters from Telegram’s own channel header, read 30 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
6m 00s
Average length
1m 00s
Measured directly from 6 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
6,219 reactions across 223 posts, in 38 distinct kinds. The most used accounts for 32.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,039
32.8%
🔥
1,583
25.5%
🥰
685
11.0%
😭
387
6.22%
❤🔥
290
4.66%
😍
177
2.85%
😁
173
2.78%
💘
124
1.99%
👍
120
1.93%
⚡
107
1.72%
🌚
92
1.48%
😱
58
0.933%
🤔
46
0.74%
💯
30
0.482%
🤓
30
0.482%
👎
29
0.466%
🍌
24
0.386%
🤣
24
0.386%
🍓
23
0.37%
💔
23
0.37%
18 further kinds
155
2.49%
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 223 of the 225 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 6,219reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 225 most recent posts we hold, published 7 August 2026 to 30 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.
ВЖЕ 3 ВЕРЕСНЯ 😱
Лічені дні до старту навчання в школі — а це означає, що і до навʼязливих думок про НМТ недалеко 🤧
Тому нагадую, що ваш вересень почнеться одразу ефективно — тому що на одному вебінарі ми розберемо усі страхи підготовки до НМТ
💙 як правильно почати?
💙 як побудувати розклад?
💙 як встигати погуляти з друзями?
💙 як не вигорати?
Тож починай вересень правильно — реєструйся на вебінар 👇🏻
https://trbz.no
окрім того, ми відкрили ПОМІСЯЧНУ ОПЛАТУ на тарифі преміум 😍
Це те, що нас просили вже кілька тижнів 💪🏻
До того ж, тільки до 1 вересня можна отримати 1 предмет безкоштовно 😱
1+1=3 🔥
1 заняття коштує всього 153 гривні
Якщо ви купуєте місяць навчання на 2 предметах, то навчання на 3 предметі отримаєте в подарунок
2+1=4 🔥
Тоді ще вигідніше, бо вартість одного заняття всього 138 грн
Складаєте повний пакет підготовки …
ПОЧАТИ ПІДГОТОВКУ У ВЕРЕСНІ = ЗБЕРЕГТИ ЧАС
Чим більше часу для підготовки у вас є — тим більш гнучким буде ваш графік, адже можна побудувати свою підготовку комфортно з урахуванням усіх хобі 🔥
Як ми працюємо на курсі?
✅ Вся теорія з 0 та з самого початку
❌ ми не пропускаємо навіть найбазовіших тем: проходимо все-все!
✅ Чіткий графік занять
❌ не потрібно кожного разу уточнювати що? коли? де?
✅ Поєднання теорії + …
Як виглядає день учня на курсі TURBO, щоб зробити прогрес в +48 балів 😱
Слава прийшла на курс з початковим балом 149 — а склала НМТ з історії на 197 🔥
І ось як виглядав її типовий алгоритм підготовки до 1 предмету 💪🏻
а щоб розібрати, як ці методи працюють на практиці — вже запросила гостей, які завтра розкажуть свої секретики 🫣
тому вмикайте сповіщення, щоб точно не пропустити 🔥
Тож, поїхали розбиратися 💪🏻
Якщо ви вже маєте графік уроків на курсі чи у репетиторів — вам простіше будувати розклад підготовки:
КЕЙС №1
🤔 урок у вівторок
💙 у понеділок проходжу тему, роблю тести, перечитую конспект
💙 у вівторок закріплюю/проходжу нову тему + готуюсь до наступного предмету
🫣 таким чином у вас 4 дні йде на поглиблене вивчення теми з 1 предмету + додаткова практика на курсі чи з репетитором
КЕЙС №…
ЯК РОЗПОДІЛЯТИ ТЕМИ ПРОТЯГОМ НАВЧАННЯ? 🤔
Погодьтеся, у кожного виникала думка: а як розподілити вивчення? 🫣
1 тема на день?
1 предмет на день?
2 предмети на день?
4 предмети на день?
Як створити той самий графік, який працює 😱 Сьогодні розберемося 💪🏻
ЛИШЕ 1 РАЗ НА РІК, МИ ПРОПОНУЄМО ЦЕ..❗️❗️❗️
1+1=3 🔥
місяць навчання з двох предметів = місяць навчання на третьому в 🎁! Тариф PREMIUM🔥
❗️Вартість 1 заняття = 153 грн (13 занять за місяць з предмету)
2+1=4 🔥
місяць навчання з трьох предметів = місяць навчання на четвертому в 🎁! Тариф PREMIUM 🔥
❗️А вартість 1 заняття = всього 138 грн 🔥
⚠️ дешевше за капучіно з круасаном чи біг мак меню
⚠️ х3 вигідніше за заняття з р…
Showing the 12 most recent of 225 posts we hold for @turbozno. 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.
Polls
The 6 most recent of 25 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.
🩷🩷🩷🩷🩷Помпа має пропускну здатність 5 літрів води за хвилину. Визначте максимальну кількість води, яка може бути використана для миття рук, що триває 2 хвилини.
2 л3%
5 л4%
7 л8%
10 л82%
25 л2%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
🩷🩷🩷🩷🩷Учням для підготовки до зрізу знань запропонували 20запитань, серед яких 4– про властивості кислот. Яка ймовірність того, що навмання витягнутий білет міститиме запитання про властивості кислот?
0,2517%
0,245%
0,36%
0,410%
0,522%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
💙💙💙💙💙У роки Другої світової війни радянська та німецька армії здійснювали заходи з евакуації або знищення всього, що було неможливо евакуювати, з метою перетворення України на
життєвий простір.5%
випалену землю.61%
зону тотального контролю.24%
буферну зону.11%
Shares as published, totalling 101%. 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 225 most recent posts we hold, published 7 August 2026 to 30 August 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.
Citation-graph rank
Citation-graph rank — 821,242 of 1,627,068entries 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.
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.
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.
Діма 🇬🇧 НМТ англійська @znohub_eng · 41,018 Telegram ranks this channel #7 of 83 here — alongside 82 others — read 29 August 2026
Крістіна 📈 НМТ математика @znohub_math · 50,626 Telegram ranks this channel #9 of 86 here — alongside 85 others — read 28 August 2026
Катя 🇺🇦 НМТ українська @znohub_ukr · 45,673 Telegram ranks this channel #10 of 88 here — alongside 87 others — read 28 August 2026
Яніна ⏳ НМТ історія @znohub_hist · 65,095 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 28 August 2026
Вступ 2026⚡️Live @vstup · 42,800 Telegram ranks this channel #11 of 84 here — alongside 83 others — read 28 August 2026
Вступ.ОСВІТА.UA️⚡2026 @vstuposvita · 112,968 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 28 August 2026
This channel appears in 6 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 30 August 2026 — this
entry's latest reading, not the date you are reading this.
“TURBO ZNO | Підготовка до НМТ 2027” (@turbozno), 17,917 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/turbozno.
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.