Telegram RegisterThe public register of Telegram

Channel

PublishLab

@publishlab_hive

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

1,834subscribers

+83 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-1003799375305
TypeChannel
Username@publishlab_hive
CreatedBetween 1 February 2026 and 21 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/publishlab_hive

Growth

1,7511,8341,792.56 August 2026 — 1,751 subscribers7 August 2026 — 1,753 subscribers9 August 2026 — 1,763 subscribers12 August 2026 — 1,834 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +83. 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 1,739–1,846 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:131,834+71
9 Aug 2026, 22:211,763+10
7 Aug 2026, 03:161,753+2
6 Aug 2026, 22:021,751first reading

Engagement

21 posts held, back to 21 May 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
99.3%
avg views ÷ 1,834 subscribers
Avg views / post
1,820
10 posts measured
Reaction rate
0.84%
reactions ÷ views · ER floor
Posts in window
11
of 21 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 held21 (21 May 20267 August 2026)
Views total18,214
Reactions total153
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:37 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

257 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 44.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11544.7%
🔥5621.8%
👍4216.3%
👏187.00%
❤‍🔥145.45%
🤩51.95%
🤔31.17%
😍20.778%
🐳10.389%
😱10.389%

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 20 of the 21 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 257reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 21 May 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, 14:02 UTC434 views26 reactionsread 7 August 2026
Video message

Video message, posted without a caption

👍138🔥5

28 Jul 2026, 12:39 UTC≈1,300 views15 reactionsread 7 August 2026

Уважаемые коллеги! По вашим многочисленным просьбам мы переносим Летнюю школу на начало августа. 🌿 Многие из вас сейчас находятся в отпуске или за пределами города, и нам очень хочется, чтобы как можно больше участников смогли присоединиться. У нас есть и отличные новости! За это время программа станет еще насыщеннее: ✨ больше приглашенных тренеров и экспертов; ✨ еще больше практических и интересных сессий; ✨ новы

10👍5

28 Jul 2026, 12:39 UTC≈1,260 views15 reactionsread 7 August 2026

Hurmatli hamkasblar! Sizlarning ko‘plab iltimoslaringizni inobatga olgan holda, Yozgi maktabni avgust oyining boshiga ko‘chirishga qaror qildik. 🌿 Ayni paytda ko‘pchiligingiz ta’tilda yoki safarda ekansiz. Biz esa imkon qadar ko‘proq ishtirokchilar ushbu dasturga qo‘shila olishlarini istaymiz. Yana bir ajoyib yangiligimiz bor! Shu vaqt ichida dasturimiz yanada mazmunli va boy bo‘ladi: ✨ ko‘proq taklif etilgan tren

8👏7

20 Jul 2026, 13:27 UTC≈1,740 views1 reactionsread 7 August 2026

💬 Вопросы во время лекции можно оставлять в комментариях. По завершении выступления лектор ответит на наиболее актуальные из них. 💬 Ma’ruza davomida savollaringizni izohlarda qoldirishingiz mumkin. Ma’ruza yakunida eng dolzarb savollarga javob beriladi.

1

20 Jul 2026, 13:21 UTC≈3,410 views23 reactionsread 7 August 2026

📢 До начала первой лекции Онлайн Летней школы осталось меньше 1 часа! Уже сегодня, в 19:00 по ташкентскому времени, состоится первая лекция нашей программы. 🎓 Тема: Стратегии публикации научных статей в авторитетных международных журналах 👨‍🏫 Лектор: Prof. Simplice A. Asongu Почётный приглашённый профессор Йоханнесбургского университета, приглашённый профессор Ташкентского государственного экономического университ

10🔥10❤‍🔥3

18 Jul 2026, 08:41 UTC≈3,810 views35 reactionsread 7 August 2026
File

📚 Scopus jurnallarida ilmiy maqolalar chop etish bo‘yicha onlayn yozgi maktab dasturi 20-iyul | 19:00 👨‍🏫 Prof. Simplice A. Asongu Publishing in Reputable Scientific Outlets Ilmiy maqolalarni nufuzli xalqaro jurnallarda nashr etish strategiyalari 21-iyul | 19:00 👨‍🏫 Dostonbek Eshpulatov PLS-SEM Methodology: From Model Development to Publication PLS-SEM metodologiyasi: model yaratishdan ilmiy maqola tayyorlashgacha

👍1610❤‍🔥3🔥3🐳1👏1😱1

18 Jul 2026, 08:40 UTC≈1,520 views16 reactionsread 7 August 2026
File

📚 Программа онлайн-летней школы по публикации научных статей в журналах Scopus 20 июля | 19:00 👨‍🏫 Prof. Simplice A. Asongu Publishing in Reputable Scientific Outlets Стратегии публикации научных статей в авторитетных международных журналах 21 июля | 19:00 👨‍🏫 Достонбек Эшпулатов PLS-SEM Methodology: From Model Development to Publication Методология PLS-SEM: от разработки модели до подготовки научной статьи 22 июл

🔥85❤‍🔥3

18 Jul 2026, 08:39 UTC≈1,710 views17 reactionsread 7 August 2026

Yozgi maktab ishtirokchilar uchun muhim ma'lumotlar! 📅O‘tkazilish sanalari: 20-iyuldan 24-iyulgacha 📍 Format: onlayn ▶️ Barcha ma'ruzalar jonli efirda o'tkaziladi. 🔗 Har bir ma'ruzadan kamida 1 soat oldin ushbu Telegram kanalida jonli efir havolasi e'lon qilinadi. ⚠️ Jonli efir boshlanishidan oldin internet aloqangiz barqaror ekanligiga ishonch hosil qilishingizni so'raymiz. 🌐 Ma'ruzalar tili: asosiy ma'ruzalar —

🔥95❤‍🔥2🤩1

18 Jul 2026, 08:39 UTC≈1,280 views5 reactionsread 7 August 2026

Важная информация для участников Летней школы! 📅Даты проведения: с 20 по 24 июля 📍 Формат обучения: онлайн ▶️ Все лекции будут проходить в формате прямых трансляций. 🔗 Ссылка на трансляцию будет публиковаться не позднее чем за 1 час до начала каждой лекции в данном Telegram-канале. ⚠️ Перед началом каждой трансляции, пожалуйста, убедитесь, что у вас стабильное интернет-соединение. 🌐 Язык проведения: основные лекци

👍41

3 Jul 2026, 14:11 UTC≈19,900 views31 reactionsread 7 August 2026
Photo

📢Scopus jurnallarida ilmiy maqolalar chop etish bo‘yicha onlayn Yozgi maktabga taklif qilamiz! Agar siz oliy ta’lim muassasasi o‘qituvchisi, tadqiqotchi, doktorant, magistrant yoki talaba bo‘lsangiz hamda xalqaro ilmiy jurnallarda maqola chop etishni rejalashtirayotgan bo‘lsangiz, sizni onlayn Yozgi maktabda ishtirok etishga taklif qilamiz. Dastur davomida quyidagi yo‘nalishlar bo‘yicha ko‘nikmalarga ega bo‘lasiz:

14👏10👍4🤔3

Showing the 12 most recent of 21 posts we hold for @publishlab_hive. 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 — 245,642 of 1,350,102entries 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 7 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“PublishLab” (@publishlab_hive), 1,834 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/publishlab_hive.

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.