2 measurements taken within a single day, 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 464–466 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Nov 2026, 03:17
466
+2
7 Nov 2026, 14:22
464
first reading
Engagement
12 posts held, back to 25 October 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.
ERR · 30 days
97.3%
avg views ÷ 466 subscribers
Avg views / post
453
12 posts measured
Reaction rate
1.73%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 7 November 2026
Posts held
12 (25 October 2026 – 7 November 2026)
Views total
5,441
Reactions total
94
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 14:22 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
1m 42s
Average length
34s
Measured directly from 3 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
94 reactions across 12 posts, in 5 distinct kinds. The most used accounts for 43.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
41
43.6%
custom 5447448742552686296
20
21.3%
custom 5370597028709556092
18
19.1%
custom 5352625691542168789
10
10.6%
👍
5
5.32%
Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 94 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 25 October 2026 to 7 November 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
2
across the posts below
Posts paid on
2
of 12 we hold a reading for · 17%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @genderequalityclub. 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 12 most recent posts we hold for this entry, published 25 October 2026 to 7 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 12 posts held from the last 30 days (16.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
⚖️ EQUILAW — новый проект!
Дорогие студенты!
Gender Equality Club с радостью объявляет о запуске нового масштабного проекта — «EquiLaw»!
📌 Каждые две недели вас ждёт интересный и полезный контент:
🌀 Известные юристы — истории женщин и мужчин, внесших вклад в развитие права и защиту прав человека.
🌀 Правовой анализ — разбор национальных и международных документов о гендерном равенстве, правах человека и равных во…
⚖️ EQUILAW — yangi loyiha!
Hurmatli talabalar!
Gender Equality Club sizga yangi yirik loyihamiz — «EquiLaw» ishga tushirilganini mamnuniyat bilan e’lon qiladi!
📌 Loyiha doirasida har ikki haftada sizni quyidagi qiziqarli materiallar kutmoqda:
🌀 Taniqli huquqshunoslar — huquq rivojiga hissa qo‘shgan, inson huquqlarini himoya qilgan ayol va erkaklar haqida.
🌀 Huquqiy tahlillar — gender tengligi, inson huquqlari va…
📢 Genderga oid auditni ötkaziş va kö'rib çiqiş tartibi
💎 1. Auditni ötkazuvçi subyekt
Genderga oid audit tasdiqlangan uç yillik rejaga asosan, davlat organlari va taşkilotlarida jamoatçilik nazorati doirasida Özbekiston Kasaba uyuşmalari federatsiyasi tomonidan ötkaziladi.
💎 2. Ötkaziş uslubiyati
Audit davlat organlari va taşkilotlari faoliyatining öziga xos xususiyatlarini hisobga olgan holda, genderga oid audit…
⚖️ GENDERGA OID AUDITNING VAZIFALARI
📝Davlat organlari va taşkilotlarida xotin-qizlar hamda erkaklar sonining nisbatini örganiş;
📝 Davlat organlari va taşkilotlari faoliyatining genderga doir kompleks yondashuv asosida taşkil etilganligini tahlil qiliş;
📝 Teng huquq va imkoniyatlarni ta’minlaş sohasidagi qonunchilik ijrosi holatini baholaş;
📝 Xotin-qizlar va erkaklar uchun teng huquq hamda imkoniyatlarni ta’minla…
📊❓Gender statistikasi qanday şakllantiriladi?
Jamiyat hayotining barça sohalarida xotin-qizlar va erkaklarning holatini aniq biliş uçun işonchli statistik ma'lumotlar kerak. Buni davlat statistika organlari amalga oşiradi: gender körsatkiçlari böyiça ma'lumotlarni yiğadi, ularga işlov beradi, saqlaydi, tahlil qiladi va e'lon qiladi.
Gender körsatkiçlari nimalarga asoslanadi?
✔️Davlat statistika organlari ötkazadigan…
Gender-huquqiy ekspertiza bu nima?
☑ Gender-huquqiy ekspertiza — normativ-huquqiy hujjatlar va ularning loyihalarini xotin-qizlar hamda erkaklar uçun teng huquq va imkoniyatlar kafolatlarini ta’minlash prinsiplariga muvofiqligi yuzasidan tahlil qilish jarayoni. U kamsitish xavflarini aniqlash va bartaraf etiçga qaratilgan.
☑Ekspertizaning maqsadlari — hujjatlarda jins bo‘yiça to‘g‘ridan-to‘g‘ri yoki bilvosita kamsiti…
📒 2026-yil 28-oktabr kuni Toşkent davlat yuridik universiteti Xotin-qizlar kengaşi qoşidagi Gender Equality Club tomonidan yangi qabul qilingan volontyorlar uçun “Gender tengligi madaniyatini şakllantiriş: milliy qadriyatlar va zamonaviy yondaşuvlar uyg‘unligi” mavzusida amaliy seminar-trening taşkillashtirildi.
🎙 Seminarni yuridik fanlar
doktori, dotsent, gender tengligi bo‘yiça ekspert Kamola Aliyeva olib bordi.
…
🧾GENDER TENGLIGI | ASOSIY KAFOLATLAR
☑Teng huquqlilik kafolati — davlat tomonidan xotin-qizlar va erkaklarning şaxsiy, siyosiy, iqtisodiy, ijtimoiy va madaniy huquqlarini amalga oşirishda teng huquqliligining kafolatlanişi.
☑Teng iştirok etish — xotin-qizlar va erkaklarning jamiyat hamda davlat işlarini boşqarişda, saylov jarayonida teng iştırok etişı uchun imkoniyatlarning ta’minlanişi.
☑Teng huquq va imkoniyatl…
📣 Toşkent davlat yuridik universiteti talabalari uçun zör imkoniyat!
🗣 Xotin-qizlar kengaşi qoşidagi Gender Equality Club tomonidan “Gender tengligi madaniyatini şakllantiriş: milliy qadriyatlar va zamonaviy yondaşuvlar uyğunligi” mavzusida amaliy seminar-trening taşkil etiladi!
🎙 Trener:
Aliyeva Kamola
Yuridik fanlar doktori, dotsent, gender tengligi böyiça ekspert.
✨ Seminar davomida:
• tenglik va inson huquq…
Xotin-qizlar va erkaklar davlat tomonidan kafolatlangan teng huquq hamda imkoniyatlarga ega böladi.
Quyidagilar jins bo‘yicha kamsitiş hisoblanmaydi:
☑ bola tuğish va ona suti bilan oziqlantirish vazifalari bilan bog‘liq munosabatlarni tartibga solişda farqlarni belgilaş;
☑ qonunda belgilangan tartibda muddatli harbiy xizmatga chaqiriş;
☑ ushbu Qonun asosida gender siyosati amalga oşirilişini ta’minlaşga doir vaqti…
Showing the 12 most recent of 12 posts we hold for @genderequalityclub. 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“TDYU - Gender Equality Club” (@genderequalityclub), 466 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/genderequalityclub.
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.
