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 18 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 41 days, net +203. 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 983–1,246 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 23:00
1,216
+2
14 Sept 2026, 17:00
1,214
+2
11 Sept 2026, 01:18
1,212
+6
5 Sept 2026, 21:18
1,206
+20
1 Sept 2026, 19:36
1,186
+18
29 Aug 2026, 18:58
1,168
+2
27 Aug 2026, 05:14
1,166
+10
24 Aug 2026, 09:12
1,156
+25
20 Aug 2026, 10:36
1,131
+17
17 Aug 2026, 14:13
1,114
+14
14 Aug 2026, 17:48
1,100
+57
11 Aug 2026, 17:43
1,043
+27
8 Aug 2026, 17:32
1,016
+3
8 Aug 2026, 16:32
1,013
first reading
Engagement
18 posts held, back to 3 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
21s
Average length
11s
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
272 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 62.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
171
62.9%
❤🔥
37
13.6%
🔥
18
6.62%
🤩
17
6.25%
⚡
14
5.15%
😁
12
4.41%
🌚
1
0.368%
😍
1
0.368%
🥰
1
0.368%
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 18 of the 18 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 272 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 3 August 2026 to 8 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
14
across the posts below
Posts paid on
5
of 18 we hold a reading for · 28%
Most on one post
9
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @olenkalebedieva. 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 18 most recent posts we hold for this entry, published 3 August 2026 to 8 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.
РОЗІГРАШ НА 1000$ ПІДПИСНИКІВ😜❤️😙✨
Мій справжній milestone. Дякую кожному хто приєднується. Найцікавіше !лише розпочинається! і я з нетерпінням чекаю аби ділитися з вами усіма тонкощами навчання в американську ВНЗ, життям за кордоном, усіма корисностями, та продовжувати мотивувати вас і допомагати кожному на цьому ЦІКАВЕЗНОМУ життєвому шляху.
Мій канал не лише про окремі можливості, а про щире переконання та нагляд…
🚀Мрієш про навчання в Польщі? Дізнайся, як вступити без зайвого стресу!
🎙️Mindset Transformation організовує вебінар про Uniwersytet SWPS. Один з найращих приватних закладів гуманітарних наук у Польщі.
Мета — допомога українцям,
щодо вступу в європейські заклади освіти
Де?: онлайн
коли?: 10 серпня 15:00
Що розглянемо?:
- відгук від випускниці університету.
- особливості навчання у Європі
- процес подачі заявки
- …
Наступна можливість буде дуже корисною для тих, хто планує подаватися в Європу на навчання!! Своїм менті часто раджу пробувати подаватися не лише в США, а й у країни Європи аби підвищити ефективність та шанси на вступ за кордоном.
У вступі, як і в глобальній економіці, диверсифікація може зіграти важливу роль для отримання бажаного результату🫰🏽✨
Так як я мала досвід подачі заявок + документів до канадських університетів й навіть отримала декілька стипендій (їх, на жаль, не було б достатньо аби дозволити собі комфортне проживання в Канаді), буду щиро рада допомогти і вам. Тому, якщо виникають питання або потрібна менторська підтримка — пишіть @olenochkaleb 🍁❤️
Ловіть круті СТИПЕНДІЇ + уривочок з інтервʼю🤭
1. Lester B. Pearson Scholarship🇨🇦 (undergraduate):
• University of Toronto (top-1 in Canada, top-20 globally)
• Безкоштовне навчання (tuition)
• Безкоштовне проживання та харчування
• Покриття квитків та усіх додаткових fees
• Головна умова: ваша школа має номінувати ЛИШЕ одного учня на цю стипендію
Deadline: 7 листопада (на стипендію йде окрема заявка)
Усі деталі тут!…
MOM, I’M ON TV!!!📺🌟
Чекала поки цей випуск вийде на YouTube аби поділитися їм з вами.
Минулого тижня була запрошена на Криворізьке телебачення, де давала інтерв’ю, розказуючи про своє життя та навчання за кордоном.
Запрошую усіх подивитися!! Вийшло дуже кежуал — дуже чілова та цікава розмова💞🥹
We believe that every new language is much more than grammar or vocabulary. It is a new culture, new opportunities, new people, and a whole new perspective on the world.
Astera — це більше, ніж мовна спільнота. Це місце, де люди з різних країн, культур і досвіду зустрічаються, навчаються, надихають одне одного та створюють справжні міжнародні зв'язки.
Цей волонтерський освітній проєкт безкоштовно допомагає із вивче…
I will be one of the Resident Assistants!!❤️🔥
На цю позицію була окрема заявка, інтервʼю та достатньо селективний відбір (вона рахується найважливішою роллю студентів в резиденції). Дуууже рада, що мене обрали.
Протягом року буду розказувати як воно, усі плюси та мінуси, чи це взагалі складно, адже можливо хтось із вас буде цікавитись роботою на кампусах в Америці (це дуже розповсюджена практика!!)
Розказую про роботу/internship, яку отримала від Minerva на перший рік навчання!!🆙🆙🆙
❤8
Showing the 12 most recent of 18 posts we hold for @olenkalebedieva. 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.
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
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.
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.
“lbdva🇺🇦🇨🇦🇺🇸” (@olenkalebedieva), 1,216 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/olenkalebedieva.
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.