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 12 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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 90 days, net -419. 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 5,949–6,496 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
6 Nov 2026, 09:26
6,012
-41
3 Nov 2026, 12:51
6,053
-36
31 Oct 2026, 10:45
6,089
-31
28 Oct 2026, 01:05
6,120
-38
25 Oct 2026, 04:40
6,158
-17
21 Oct 2026, 18:17
6,175
-129
18 Oct 2026, 10:29
6,304
+3
15 Oct 2026, 12:00
6,301
+21
12 Oct 2026, 09:17
6,280
+134
5 Oct 2026, 22:38
6,146
+7
28 Sept 2026, 23:00
6,139
-34
19 Sept 2026, 08:59
6,173
+5
14 Sept 2026, 19:56
6,168
+15
11 Sept 2026, 05:01
6,153
-8
6 Sept 2026, 18:41
6,161
+69
2 Sept 2026, 04:12
6,092
-3
30 Aug 2026, 12:35
6,095
-20
27 Aug 2026, 22:08
6,115
-53
24 Aug 2026, 12:28
6,168
-37
21 Aug 2026, 01:55
6,205
first reading
Engagement
16 posts held, back to 24 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 11 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
29.1%
avg views ÷ 6,012 subscribers
Avg views / post
1,750
9 posts measured
Reaction rate
0.197%
reactions ÷ views · ER floor
Posts in window
9
of 16 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 4 November 2026
Posts held
16 (24 July 2026 – 4 November 2026)
Views total
15,755
Reactions total
31
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 17:12 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
1m 53s
Average length
57s
Measured directly from 2 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
118 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
59
50.0%
👍
32
27.1%
🔥
25
21.2%
😁
2
1.69%
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 16 of the 16 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 118 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 24 July 2026 to 4 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: 0 of 9 posts held from the last 30 days (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).
📚 Ixtisoslashtirilgan maktablarda o‘quv yuklamasi qanchalik katta?
Ota-onalar ko‘pincha farzandi fanlar va uy vazifalari ko‘pligi sababli o‘qishga qiynalishidan xavotir olishadi
Bunday maktablarda asosiy fanlar chuqurroq o‘rgatiladi. Shu sababli maktab tanlashda farzandingizning qiziqish va qobiliyatlarini hisobga olish muhim
🎯 Farzandingizga qaysi maktab mos kelishini bilmayapsizmi? Havola orqali bepul kasbga yo‘…
Farzandingiz shug‘ullanadi, lekin test natijalari oshmayaptimi? 📊
Buning sababi bilim yetishmasligi emas, balki ayrim mavzulardagi xatolar bo‘lishi mumkin
Tayyorgarlik jarayonida quyidagilarni aniqlash muhim:
🔘 Qaysi savollarda xato qilmoqda?
🔘 Qaysi mavzularni tushunmayapti?
🔘 Testni vaqtida yakunlay olyaptimi?
🎯 Buning uchun farzandingizning bilim darajasini aniqlash kerak
Bepul diagnostikaga yozilish uchun hav…
Birinchilardan bo‘lib kvizimizdan o‘ting! 🚀
Havola orqali o‘ting va farzandingizga qaysi ixtisoslashtirilgan maktab mos kelishini bilib oling ⬇️
https://newton-academy.uz/
🎓 Farzandingiz uchun qaysi ixtisoslashtirilgan maktabni tanlashni bilmayapsizmi?
BEPUL TEST orqali atigi 1 daqiqada farzandingizning qiziqishlariga mos maktabni aniqlashga yordam beramiz! 🎯️️️️️️
Test kimlar uchun?
🔘 Qaysi maktabni tanlashni bilmayotganlar uchun
🔘 Farzandining qiziqishlariga mos maktab izlayotganlar uchun
🔘 Qabulga tayyorlanmoqchi, lekin nimadan boshlashni bilmayotganlar uchun
🔘 Tayyorlanish yo‘nal…
🎲 Newton Academy’da «Pochemuchka» darslari mana shunday o‘tadi — quvnoq, interaktiv va yangi bilimlarga bo‘lgan qiziqish bilan!
🎒 Farzandingiz maktabga o‘yinlar va interaktiv topshiriqlar orqali puxta tayyorlanishini, darslarga esa mamnuniyat bilan qatnashishini xohlaysizmi?
Unda quyidagi havola orqali ro‘yxatdan o‘ting 👇🏻
🔗 https://clck.ru/3Vrz9t
🌍 Butun dunyo — va Newton Academy’da bu qanday ishlaydi!
Bizda ta’lim tizimli, interaktiv va qiziqarli tashkil etilgan. Har bir o‘quvchi mavzularni tushunib, ishonch bilan oldinga intilishi uchun 📚✨
Ortiqcha qiyinchiliklarsiz o‘qishni xohlaysizmi? Kurslarimizga yozilish uchun ariza qoldiring —> https://clck.ru/3Vrz9t
📚 Newton Academy’da 4–8-sinf o‘quvchilarini ingliz tili darslariga taklif qilamiz!
Mualliflik dasturimiz asosida gapirish, o‘qish va yozishni o‘rgatamiz, shuningdek, ingliz tili darajangizni aniqlaymiz 🇬🇧
Hoziroq havola orqali ro‘yxatdan o‘ting — joylar soni cheklangan 👉🏻 https://clck.ru/3Vrz9t
Farzandingizni Newton Academy’da «Pochemuchka» dasturiga yozdirish uchun TOP-3 sabab! 🧠📚
Farzandingizning fikrlashi, xotirasi va diqqatini rivojlantirishni hoziroq boshlang!
👇 Quyidagi havola orqali ro‘yxatdan o‘ting:
🔗 https://clck.ru/3Vrz9t
🧠 «Pochemuchka» guruhiga qabul boshlandi!
Bolalarning mantiqiy fikrlashi, xotirasi, diqqati va tanqidiy fikrlash qobiliyatini rivojlantiramiz. Atrof-muhitni o‘rganish va matematikaning ilk asoslarini o‘rgatamiz
Mashg‘ulotlarda bolalar fikr yuritish, savollar berish va mustaqil yechim topishni o‘rganadilar. Bularning barchasi tushunarli va qiziqarli tarzda olib boriladi 💙
📌 Guruhdagi joylar soni cheklangan!
Newton…
📢 Muhim ma’lumot!
Samarqand shahridagi Newton bizga tegishli emas va bizning filialimiz hisoblanmaydi.
Bugungi kunda Newton Academy faqat Toshkent shahrida faoliyat yuritadi. Boshqa viloyat va hududlarda bizning filiallarimiz mavjud emas.
🏆 Natijalarimiz — mehnatimizning eng yaxshi isboti!
Har bir natija ortida o‘quvchining mehnati, ota-onaning qo‘llab-quvvatlashi va ustozlarimizning mehnati bor. Biz o‘quvchilarimizning yutuqlari bilan faxrlanamiz! 💫
Farzandingizni siz ham bizga ishonib topshirmoqchimisiz?
📲👉 Bepul bilim diagnostika uchun yoziling https://clck.ru/3Sj8gi
🔥 Bir yillik mashaqqatli mehnat = biz faxrlanadigan natijalar!
Kimdir faqat o'zgarishlar haqida o'ylayotgan bir paytda, o'quvchilarimiz allaqachon eng yaxshi ixtisoslashtirilgan maktablardan o'zlarining munosib o'rinlarini egallashdi! 🚀
Agar siz ham o'qishga kirishni rejalashtirayotgan bo'lsangiz va imtihonlarga o'ziga ishongan holda tayyorlanishni istasangiz — Newton Academy'ga xush kelibsiz!
👉 Bepul bilim diagno…
👍7🔥7❤2
Showing the 12 most recent of 16 posts we hold for @newtonews. 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.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Newton Academy News” (@newtonews), 6,012 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/newtonews.
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.