Channel
@tumar_lab
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
525subscribers
+48 since we began measuring on 29 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001981776857 |
|---|---|
| Type | Channel |
| Username | @tumar_lab |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 29 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/tumar_lab |
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 21 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 11:39 | 525 | -7 |
| 8 Sept 2026, 03:57 | 532 | +55 |
| 30 Aug 2026, 08:12 | 477 | no change |
| 29 Aug 2026, 20:01 | 477 | first reading |
12 posts held, back to 2 June 2025 — 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 12 posts for this entry, the most recent from 1 March 2026. An engagement rate over an empty window would be a number about nothing.
305 reactions across 12 posts, in 18 distinct kinds. The most used accounts for 50.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 155 | 50.8% | |
| 🔥 | 52 | 17.0% | |
| ❤🔥 | 21 | 6.89% | |
| ⚡ | 15 | 4.92% | |
| 👍 | 14 | 4.59% | |
| 🕊 | 12 | 3.93% | |
| 🥰 | 10 | 3.28% | |
| 😍 | 9 | 2.95% | |
| 💘 | 5 | 1.64% | |
| 🏆 | 2 | 0.656% | |
| 🐳 | 2 | 0.656% | |
| 👏 | 2 | 0.656% | |
| 🆒 | 1 | 0.328% | |
| 🌭 | 1 | 0.328% | |
| 🎉 | 1 | 0.328% | |
| 💋 | 1 | 0.328% | |
| 💔 | 1 | 0.328% | |
| 🦄 | 1 | 0.328% |
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 12 of the 12 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 305 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 2 June 2025 to 1 March 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.
From Webinar “The Art of EFFECTIVE Studying” by Tumarlab Did you miss our webinar? Or want a powerful recap? Here’s what we covered — and why it matters. Our speaker, Biybimaryam — shared the exact systems that help her stay among the top students. 🎯 What is Effective Studying? Effective studying = Maximum retention Minimum wasted time Long-term understanding Not studying longer. Studying smarter. 🧠 1. Activ…
❤9⚡3❤🔥3🐳1🕊1
🇹🇷 Bunnan bir neshe kún aldın biz 2026-jılǵı Turkiya stipendiyasına arza beriw ushın qısqa múddetli qabıl processıne oqıwshılardı saylap alıp, olar menen 1 hápte dawamında jaqınnan islestik. Olar, mentorlarımız Saltanat hám Azimaǵa bergen feedbeklerin sizler menen bólisemiz. 💼 TumarLab — BIZ ushın hár birińizdiń pikrińiz áhmiyetli, sonlıqtan komentariya bóliminde keleshekte qanday vebinarlar, kontent yamasa postlar…
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Do you want to become an academic weapon? Want to learn how to study smart, not just hard? We’ve got you! Join our upcoming webinar, “The Art of EFFECTIVE Studying” by Tumarlab. 📚 Our speaker is Biybimaryam — a medical student at Central Asian University. She is not only a dedicated medical student, but also someone who has mastered the art of self-discipline and strategic learning. A graduate of Nukus Presidenti…
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🇹🇷Joqarıda aytıp ótkenimizdey, 2026-jılǵı Turkiya stipendiyası ushın arza beriw ele ashıq hám 20-fevralda jabıladı. Siziń arzańız tabıslı bolıwına járdem beriw maqsetinde, biz óz mentorlarımız basshılıǵında qısqa múddetli qabıl procesi boyınsha kurs tayarladıq. Mentorlarımız házirde Turkiya stipendiya programması arqalı Turkiya universitetlerinde tálim alıp kelmekte. Qatnasıw ushın, iltimas, Google formasın toldırıń…
😍9❤6❤🔥2🥰2🎉1🏆1👍1💔1
🎉 Assalawma áleykum, qádirdan kanalımız aǵzaları, Imtixanlar dáwiri barlıq mentorlarımız ushın uzaq boldı. Itibar bergen bolsańız, biz joybarımızdıń atın hám logotipın jańalandık. Biraq biziń maqsetimiz ózgermedi — al bul bolsa jaslarımızdı jáne de bilimli, kúshli hám tabıslı jámiyetke aylandırıwǵa járdem beriw. 👩🎓👨🎓 Biz benen birge bolıń hám kanalımızdı doslarıńızǵa usınıń! __________________________ 🎉 Good p…
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Turkiya Burslari - Difference between normal vs merit scholarship programs 🎓Requirements: Normal: 70% or 3.5/5 GPA for Bachelors 75% or 4/5 GPA for Masters/PHD 90% or 4.5/5 GPA for Medicine, Dentistry & Pharmacy students Merit: 4.5/5 GPA (regardless of major), 6.5 IELTS or equivalent, SAT score of 1400 or higher required. 🎲Advantage: While normal stipend is 4500TL (~100$) in 2025, the Merit Scholarship is double. T…
❤9🔥4🕊1
Amgen Scholars dástúri - NUSta laboratoriya boyınsha 8 háptelik tájiriybe🧪 👩🔬👨🔬Kimler ushın? -Biologiyaǵa qızıǵıwshı bakalavr oqıwshıları ushın🧑🎓 Qanday imkaniyatlar bar? -Biologiya hám Gumanitar pánleri fakultet jetekshi izertlewshilerinen jol-joba hám másláhátler -NUStaǵı qolaylıqlardan paydalanıw - kitapxana, den-sawlıqtı saqlaw xızmetleri hám sport orayı -Tokyo da bolıp ótetuǵın 2026-jılǵı “Amgen Scholars”…
❤7🕊1
🧳Til uyreniw boyınsha vebinarımızdan juwmaq: 📝Til uyreniwge qızıǵıń Bul ápiwayı bolıp kóriniwi múmkin, nege deseńiz haqıyqattan da sonday. Til úyreniw ushın pútkil deneńizdi iske salıp, itibarıńızdı tolıq beriwińiz kerek. Qálegen waqtıńızda oqıp, qálemegen waqtıńızda “reels” kóriw menen tildi úyrenbeysiz. Kerisinshe, úyrenip atırǵan tilińiz ushın aldıńızǵa anıq maqset qoyıń (bul “BTS” koncertine barıw bolsa da) hám …
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📚Qubla Koreyanıń Seul qalasındaǵı Hanyang universitetiniń studenti Gulbanu menen tanısıń - ol 6-klasstan berli koreec tilin úyrenedi hám anglichan & koreec tillerinde biymálel sáwbetlese aladı. Gulbanu usınıń menen toqtap qalajaq emes - ol házirde qıtay hám yapon tillerin úyrenip atır hám keleshekte óziniń til arsenalın jáne de keńeytiwdi rejelestirmekte. ⚙️Usı video chatta biz qanday etip tillerdi nátiyjeli úyreniw…
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🎓Mentor: Periyzat Nizamatdinova Major: Economics & Data Science 📊Studying at NUU, Tashkent, Periyzat has done it all - startups, internships, projects, programming - and that's what made us believe that she is the perfect mentor for young entrepreneurs. Moreover, her knowledge in Economics and Data Science will surely help any future Econ student on what kind of projects they can kickstart. "If you don't see the l…
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TumarLab qayttı🎉 Úlken rebrendiń, úlken háreketler jolında - bizler jıl dawamında qaraqalpaq jaslarında globallıq pikirlewdi rawajlandırıwǵa hám mádeniyatımızdı jánede ashıp beretuğın kóplegen ájayıp joybarlar ústinde islep atırmız. TumarLabtın "xalqaralıq stipendiyalar hám grantlardı qaraqalpaq jaslarına tanıtıw hám tapsırıw processın jeńillestiriw" missiyası ele ózgergen joq. Kerisinshe, bizler aqırǵı waqıtlarda …
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Qaraqalpaqstanǵa kerekli ózgerislerdi ámelge asırıwǵa tayyarsız ba? Elimiz keleshegine tásir kórsetetuǵın ideyalar, arzıwlar hám energiyaǵa tolısız ba? Bilimlendiriw, innovaciyalar hám háreketler arqalı jámiyetimiz keleshegin belgileytuǵın jaslar qatarına qosılıw imkaniyatıńız bar. Eger siz, shet el universitetleri grantların alıp, sırt elde oqıwdı maqset qilǵan bolsańız, jergilikli hám xalıqaralıq proektlerde isle…
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Showing the 12 most recent of 12 posts we hold for @tumar_lab. 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.
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“TumarLab Program” (@tumar_lab), 525 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/tumar_lab.
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.