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Channel

TSUL - Science and Innovation

@tsul_science

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,411subscribers

-2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001179356017
TypeChannel
Username@tsul_science
Created25 March 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/tsul_science

Growth

2,4042,4142,4096 August 2026 — 2,413 subscribers6 August 2026 — 2,414 subscribers10 August 2026 — 2,404 subscribers13 August 2026 — 2,411 subscribers2,4116 August 202613 August 2026
4 measurements spanning 7 days, net -2. 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 2,403–2,416 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 12:282,411+7
10 Aug 2026, 02:522,404-10
6 Aug 2026, 17:522,414+1
6 Aug 2026, 14:022,413first reading

Engagement

17 posts held, back to 10 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
53.6%
avg views ÷ 2,411 subscribers
Avg views / post
1,290
15 posts measured
Reaction rate
0.356%
reactions ÷ views · ER floor
Posts in window
15
of 17 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held17 (10 July 20267 August 2026)
Views total19,385
Reactions total69
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:35 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
3m 27s
Average length
3m 27s

Measured directly from 1 video 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

81 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 29.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2429.6%
🔥2429.6%
1619.8%
👏67.41%
🥰44.94%
🎉33.70%
🤩33.70%
💯11.23%

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 17 of the 17 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 81reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 10 July 2026 to 7 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.

Recent posts

7 Aug 2026, 12:06 UTC310 views2 reactionsread 7 August 2026
Forwarded from @attestatsiyaPhoto

“Dissertatsiyalar asosiy ilmiy natijalarini chop etish tavsiya etilgan ilmiy nashrlar ro‘yxati” yanada qulaylashtirildi Oliy attestatsiya komissiyasining rasmiy veb-saytidagi “Dissertatsiyalar asosiy ilmiy natijalarini chop etish tavsiya etilgan ilmiy nashrlar ro‘yxati”ning milliy va xorijiy ilmiy nashrlar bo‘yicha elektron reestri (https://oak.uz/pages/31738) yanada takomillashtirildi. Elektron reestrning asosiy a

1🔥1

7 Aug 2026, 07:40 UTC605 views3 reactionsread 7 August 2026
File

Assalomu aleykum hurmatli professor-o‘qituvchilar va tadqiqotchilar. "Ilm-fan va ilmiy faoliyat to‘g‘risida"gi Qonun hamda Vazirlar Mahkamasining 2017-yil 22-mayda qabul qilingan “Oliy taʼlimdan keyingi taʼlim tizimini yanada takomillashtirish chora-tadbirlari toʻgʻrisida”gi VMQ-304-sonli Qarorini takomillashtirish bo‘yicha takliflar qabul qilinmoqda. Shu munosabat bilan yuqoridagi normativ-huquqiy hujjatlarni tako

1👍1🥰1

6 Aug 2026, 12:10 UTC720 views2 reactionsread 7 August 2026
Photo

Diqqat e'lon ! 🏛 Toshkent davlat yuridik universiteti Ilmiy kengash qoshidagi ilmiy seminar a’zolarining yig‘ilishida mustaqil izlanuvchi Ahmadjonov Murodullo Nurali o'g'li tomonidan yuridik fanlar bo‘yicha falsafa doktori (PhD) ilmiy darajasini olish uchun dissertatsiya ishining muhokamasi bo‘lib o‘tadi. 📕 Dissertatsiya mavzusi: “Dаvlаt bоshqаruvidа kоrruрsiуаviy хаvf-хаtаrlаrni аniqlаsh vа bаhоlаshning nаzаriy

👍2

3 Aug 2026, 10:17 UTC≈2,020 views6 reactionsread 7 August 2026
Photo

📢 HUQUQIY BILIMLARINGIZNI SINOVDAN O‘TKAZING! ⚖️ Hurmatli professor-o‘qituvchilar, tayanch doktorantlar, mustaqil izlanuvchilar, xodimlar va talabalar! O‘zbekiston Respublikasi Vazirlar Mahkamasining 2026-yil 24-apreldagi 202-son qarori ijrosini ta’minlash maqsadida barcha professor-o‘qituvchilar, xodimlar va talabalar test.adliya.uz platformasi orqali huquqiy test sinovlarida ishtirok etishlari so‘raladi. 📝 Har c

5👍1

Signed Yuldashevna Maftuna

31 Jul 2026, 13:58 UTC≈1,230 views4 reactionsread 7 August 2026
File

📢 E'lon Toshkent davlat transport universiteti tomonidan tashkil etilayotgan xalqaro ilmiy konferensiyalar hamda Scopus bazasida indekslanuvchi nashrlarda ilmiy maqolalar chop etish imkoniyatlaridan foydalanishga taklif etamiz. 1. “Advanced Technologies in Engineering — ICATE 2026” II xalqaro ilmiy konferensiyasi 📅 O‘tkazilish sanasi: 2026-yil 25–26-noyabr 📍 O‘tkazilish joyi: Toshkent davlat transport universiteti Ko

👍31

31 Jul 2026, 11:15 UTC839 views13 reactionsread 7 August 2026
Forwarded from @TDYU_HISIMPhoto

#Natija Xalqaro reyting va indekslar bilan ishlash bo‘yicha respublika kengashi yig‘ilishining 2025-yil 17-yanvardagi 14 son bayonida belgilangan vazifalar doirasida e’lon qilingan Ilmiy faoliyatga oid davlat maqsadli dasturining amaliy tadqiqot loyihalari 107-tur tanlovida: yuridik fanlari doktori, professor Narziyev Otabek Sa’diyevich tomonidan taqdim etilgan 📌 “Hukumatning sud qarorisiz va adolatli tovon pulisiz

🔥8👏3🎉1👍1

Signed Yuldashevna Maftuna

31 Jul 2026, 11:03 UTC403 views3 reactionsread 7 August 2026
Forwarded from @TDYU_HISIMPhoto

📢 E'LON 🤖 AI Training Center — KOICA granti asosida 100% bepul ta'lim Tashkent International University, Koreya Respublikasining Cheju Halla University va KOICA tashkiloti hamkorligida sun'iy intellekt yo'nalishida navbatdagi xalqaro grant dasturi e'lon qilinmoqda. 📌 Dastur haqida: — Davomiyligi: 12 hafta — Qabul kvotasi: 30 nafar tinglovchi — Dars tili: ingliz tili — Format: haftasiga 3 kun, soat 18:00 dan keyin

🔥2👍1

Signed Yuldashevna Maftuna

28 Jul 2026, 10:27 UTC729 views1 reactionsread 7 August 2026
Forwarded from @TDYU_HISIMPhoto

📢 E'LON 🤖 AI Training Center — KOICA granti asosida 100% bepul ta'lim Tashkent International University, Koreya Respublikasining Cheju Halla University va KOICA tashkiloti hamkorligida sun'iy intellekt yo'nalishida navbatdagi xalqaro grant dasturi e'lon qilinmoqda. 📌 Dastur haqida: — Davomiyligi: 12 hafta — Qabul kvotasi: 30 nafar tinglovchi — Dars tili: ingliz tili — Format: haftasiga 3 kun, soat 18:00 dan keyin

1

Signed Yuldashevna Maftuna

28 Jul 2026, 06:47 UTC792 views2 reactionsread 7 August 2026
Forwarded from @TDYU_HISIMPhoto

🧑‍💻👩‍💻Ilmiy-innovatsion ishlanmalarni tijoratlashtirish bo'limi xodimlari tomonidan seminar-trening o'tkaziladi. Mazkur seminar-trening ilmiy faoliyat bilan shug‘ullanayotgan professor-o‘qituvchilar, tadqiqotchilar hamda innovatsion g‘oyalarni amaliyotga joriy etishni istagan barcha uchun mo‘ljallangan. 🔍 Seminar davomida quyidagi muhim masalalar atroflicha yoritiladi: 🔹 Davlat ilmiy-texnik dasturlari doirasida o‘t

1💯1

Signed Yuldashevna Maftuna

24 Jul 2026, 12:11 UTC≈1,020 views24 reactionsread 7 August 2026
Forwarded from @TDYU_HISIMPhoto

💡Ilmiy faoliyatga oid davlat dasturlari doirasida amalga oshiriladigan amaliy tadqiqotlar va innovatsion loyihalar bo‘yicha o‘tkazilgan 2025-yilgi “Olima ayollar” tanlovining 103-turi yakunlariga ko‘ra, Sharaxmetova Umida Shaakbarovnaning “Nizolarni mediatsiya tartib-taomillari asosida hal qilishning elektron platformasini yaratish” mavzusidagi loyihasi g‘olib deb topilib, moliyalashtirishga tavsiya etildi. ⚖️Mazkur

🔥12👍8👏3🎉1

Signed Yuldashevna Maftuna

23 Jul 2026, 05:36 UTC≈1,100 views3 reactionsread 7 August 2026
Photo

📢 E'LON Hurmatli Toshkent davlat yuridik universiteti talabalari! "Yosh fermerlarni qoʻllab-quvvatlash kuni" munosabati bilan quyidagi mavzularda onlayn seminar tashkil etiladi: 🔹 Zamonaviy qishloq xoʻjaligi texnologiyalari: tomchilatib sugʻorish, dronlar yordamida ekinlarni kuzatish va smart fermerlik; 🔹 Yosh fermerlar uchun yerdan foydalanish huquqi, qishloq xoʻjaligi kreditlari va subsidiyalar olish tartiblari; 🔹

1👍1🔥1

Signed Yuldashevna Maftuna

20 Jul 2026, 11:03 UTC≈2,040 views2 reactionsread 7 August 2026
Photo

📣#Diqqat, e'lon Toshkent davlat yuridik universiteti tomonidan ilmiy-innovatsion faoliyatni tijoratlashtirish maqsadida xoʻjalik yurituvchi subyektlar, tashkilotlar, muassasalar bilan shartnomalar tuzish yo‘lga qo‘yilgan. 🔹Universitetda 21 ta yo‘nalish bo‘yicha mutaxassislik sho'balari shuningdek, tadqiqot markazlari mavjud bo‘lib, huquqiy va boshqa ayrim ijtimoiy fanlarga oid darslik, oʻquv qoʻllanma, monografiya,

1👍1

Signed Yuldashevna Maftuna

Showing the 12 most recent of 17 posts we hold for @tsul_science. 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.

Citation-graph rank

Citation-graph rank — 241,527 of 1,169,250entries 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.

Forward network

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 3 registered channels — 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“TSUL - Science and Innovation” (@tsul_science), 2,411 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tsul_science.

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.