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 11 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
14 measurements spanning 42 days, net +42. 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 9,840–9,955 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 18:38
9,942
+73
13 Sept 2026, 17:59
9,869
+1
9 Sept 2026, 19:22
9,868
-18
4 Sept 2026, 15:19
9,886
+2
1 Sept 2026, 10:47
9,884
-9
29 Aug 2026, 20:36
9,893
+8
27 Aug 2026, 04:28
9,885
+28
24 Aug 2026, 08:44
9,857
+4
20 Aug 2026, 08:33
9,853
-1
17 Aug 2026, 17:46
9,854
-10
14 Aug 2026, 07:55
9,864
-10
10 Aug 2026, 14:35
9,874
-26
6 Aug 2026, 10:16
9,900
no change
6 Aug 2026, 10:00
9,900
first reading
Engagement
49 posts held, back to 14 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.80%
avg views ÷ 9,942 subscribers
Avg views / post
477
5 posts measured
Reaction rate
3.10%
reactions ÷ views · ER floor
Posts in window
5
of 49 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 27 August 2026
Posts held
49 (14 July 2026 – 27 August 2026)
Views total
2,385
Reactions total
74
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 04:51 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
1,322 reactions across 48 posts, in 9 distinct kinds. The most used accounts for 57.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
760
57.5%
👍
339
25.6%
🔥
113
8.55%
🙏
99
7.49%
💯
4
0.303%
🥰
3
0.227%
👌
2
0.151%
👏
1
0.076%
🕊
1
0.076%
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 48 of the 49 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 1,322 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 49 most recent posts we hold, published 14 July 2026 to 27 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 49 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @iskra_znania. 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 49 most recent posts we hold for this entry, published 14 July 2026 to 27 August 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.
Advertising
Ad load
14.3%
7 of 49 posts carry an ad marker
Regulatory tokens
7
posts carrying an erid · 7 distinct tokens
Median views · ads
554
over 7 measured posts
Median views · rest
966
over 42 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzquZjcNf
1
11 August 2026
11 August 2026
2Vtzqugr8ZH
1
18 August 2026
18 August 2026
2Vtzqutj6No
1
27 August 2026
27 August 2026
2VtzqxcKdo9
1
26 August 2026
26 August 2026
2W5zFHwEPxD
1
13 August 2026
13 August 2026
343506064752
1
15 August 2026
15 August 2026
CQH36pWzJpxJfq8L77TQXVrjjpXZ49pXxeP5wnBcA8tjfc
1
27 August 2026
27 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 49 most recent posts we hold, published 14 July 2026 to 27 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Если вы хотите, чтобы ваш ребенок к 14-16 годам свободно общался на английском, то вам будет интересен опыт Марии
🫶Мария начинала свой путь после факультета международных отношений как англомама.
А сейчас - руководитель и главный методист языкового онлайн центра M School.
Последние 10 лет специализируется на преподавании английского детям с самого раннего возраста.
💪Она изначально выстраивала такую систему, при ко…
Это лучше знать заранее
В новом учебном году у школьников изменится программа: обществознание сократят, истории станет больше, появятся новые курсы и обновятся предметы.
Фоксфорд собрал главное в одном посте — вам не придётся изучать приказы министерства и искать новости по всему интернету.
Переходите в канал Фоксфорда и узнайте, что изменится в школе уже с 1 сентября ➡️ по ссылке ⬅️
Листала справочник "Дома" и вспомнила СЕРИАЛ ДЛЯ ДЕТЕЙ «ЭТО МОЙ ДОМ!»
Французский сериал рассказывает о жизни детей в самых разных уголках планеты: Шотландии, Австрии, Швеции, Ливане, Японии, Гонконге, Кубе, Гаити, острове Гидры и т.д. Не все дети живут в одинаковых домах. Одни живут в замках, а другие – в палатках. В зависимости от климата, обычаев и вкусов дома детей и их родителей во всем мире отличаются.
🔥Такие …
#анатомия #естествознание
🫀 The Human Body от Tinybop
интерактивный ресурс для изучения организма человека изнутри
Можно посмотреть, как работают разные системы организма:
🫀 сердце и кровообращение
🫁 лёгкие и дыхание
🧠 мозг и нервная система
🍎 пищеварение
🦴 скелет и мышцы
👁 органы чувств
🛡 иммунная система
Можно наблюдать, как пища проходит через пищеварительную систему, как сокращается сердце, как лёгкие реагиру…
Готовлю к олимпиадам и поступлению в сильные матшколы Москвы
Меня зовут Всеволод Прохоров. Окончил НИЯУ МИФИ (Прикладная математика и информатика), преподаю математику с 2020 года, два года вёл группы олимпиадной математики в Творческой лаборатории 2х2.
Результаты моих учеников:
— поступления в №179, Л2Ш, №1543, №1514, «Интеллектуал», №218;
— призёры олимпиад: от Матпраздника и Весеннего марафона у младших до ВсОШ …
До 1 сентября остаётся меньше недели, и мы с вами официально вступаем в самую активную пору новых знаний и личного роста! Это идеальное время, чтобы вернуться к своим целям, освоить новые навыки, углубиться в любимые темы или начать что-то совершенно новое💙
Самое время немного подготовиться и мы собрали для вас полезную папку по образованию в сфере саморазвития, IT, изучению языков и науке.
Внутри:
▪️ Эффективное с…
🐺👩❤️👨🐞🐺🪳🦗☘️🌺
летних публикаций на канале
🥂ТЕСТЫ ДЛЯ ДЕТЕЙ И ПОДРОСТКОВ
🥂Записи «Сказки с оркестром» от портала Культура
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🥂Ресурсы, где можно быстро подобрать тренажеры для переведения умения в навык
🥂Подборка полезных приложений для прогулок и наблюдений
🥂Подборка списков для летнего чтения
🥂Пособия для занятий на каникулах
🥂О переходе на новую систему высшего образования…
Как помочь ребёнку стать уверенным и успешным в жизни?
Уверенность редко появляется сама. Она складывается из множества навыков: умения общаться, уважать себя и других, ориентироваться в разных ситуациях и понимать, как достойно проявить себя среди людей.
Меня зовут Елена Беляева. Я педагог по этикету и эксперт по культуре общения. Помогаю детям и подросткам осваивать навыки, которым редко учат специально, но котор…
И еще про олимпиады⬇️
✨Проект "Об утверждении перечня олимпиад и иных интеллектуальных и (или) творческих конкурсов, мероприятий, направленных на развитие интеллектуальных и творческих способностей, способностей к занятиям физической культурой и спортом, интереса к научной (научно-исследовательской), инженерно-технической, изобретательской, творческой, физкультурно-спортивной деятельности, а также на пропаганду науч…
💎Обновляемые календари математических мероприятий на 2026/2027 год для начальной и средней школы
В календарях, помимо олимпиад, собраны фестивали, турниры, командные мероприятия
✨календарь мероприятий начальной школы
✨календарь мероприятий средней школы
Календари будут полезны не только родителям, но и педагогам, которые захотят провести мероприятие у себя в школе
#олимпиады #средняя_школа #начальная_школа #матем…
#древняягреция
Один из любых мультсериалов Мирослава⬇️
Воины мифов: Хранители легенд (сериал 1998, 2 сезона)
В сериале показаны истории:
Персея и Медузы Горгоны;
Тесея и Минотавра;
Ясона и золотого руна;
Одиссея, Цирцеи и Троянского коня;
Геракла и его подвигов;
Дедала и Икара;
Прометея и ящика Пандоры;
Орфея и Эвридики;
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царя Мидаса;
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Беллерофонта и Пегаса.
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➡️26 экспонатов минералогического зала геологического музея им. В.И. Вернадского теперь оснащены специальными QR-кодами. При сканировании кода смартфон открывает сайт, на котором размещён соответствующий научно-популярный видеоролик – короткий вертикальный клип, удобный для просмотра непосредственно у витрины.
Руководитель проекта, ведущий видеороликов – Исхак Фархутдинов. Пи…
❤8👍8🔥6
Showing the 12 most recent of 49 posts we hold for @iskra_znania. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
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.
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.
СЕМЕЙНОЕ ОБРАЗОВАНИЕ ДЛЯ ЧАЙНИКОВ @co_legko · 62,725 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 21 August 2026
Пифагоровы штаны @pifshtany · 23,801 Telegram ranks this channel #24 of 48 here — alongside 47 others — read 17 September 2026
matolimp @matolimp · 31,697 Telegram ranks this channel #26 of 97 here — alongside 96 others — read 6 September 2026
Советские учебники @sovuche · 105,414 Telegram ranks this channel #28 of 94 here — alongside 93 others — read 21 August 2026
Радио и Театр @oldradioteatr · 111,625 Telegram ranks this channel #31 of 91 here — alongside 90 others — read 14 August 2026
Даша (Deti-Online.com) @deti_online_com · 56,424 Telegram ranks this channel #35 of 82 here — alongside 81 others — read 23 August 2026
mama_mishonka 📚 @mama_mi_shonka · 24,584 Telegram ranks this channel #60 of 81 here — alongside 80 others — read 15 September 2026
Александр Толмачёв @detlektor · 83,428 Telegram ranks this channel #69 of 87 here — alongside 86 others — read 18 August 2026
Банда умников. Занятия с детьми @banda_u · 24,289 Telegram ranks this channel #76 of 97 here — alongside 96 others — read 16 September 2026
This channel appears in 9 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Искра знания” (@iskra_znania), 9,942 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/iskra_znania.
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.