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 15 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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
15 measurements spanning 52 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 2,228–2,971 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Sept 2026, 22:57
2,314
-38
19 Sept 2026, 01:20
2,352
-108
14 Sept 2026, 21:21
2,460
-47
11 Sept 2026, 00:40
2,507
-150
6 Sept 2026, 08:20
2,657
-132
1 Sept 2026, 21:14
2,789
-96
29 Aug 2026, 17:37
2,885
+200
26 Aug 2026, 18:44
2,685
+175
23 Aug 2026, 10:17
2,510
+148
19 Aug 2026, 17:16
2,362
-11
16 Aug 2026, 20:24
2,373
-11
13 Aug 2026, 12:17
2,384
-8
10 Aug 2026, 14:44
2,392
-5
7 Aug 2026, 14:50
2,397
no change
7 Aug 2026, 14:33
2,397
first reading
Engagement
13 posts held, back to 28 March 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 13 posts for this entry, the most recent from 30 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 39s
Average length
2m 39s
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
265 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 48.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
128
48.3%
🔥
79
29.8%
👍
18
6.79%
⚡
15
5.66%
❤🔥
12
4.53%
👏
5
1.89%
🌭
2
0.755%
💘
2
0.755%
🤝
2
0.755%
😁
1
0.377%
🤩
1
0.377%
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 13 of the 13 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 265 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 28 March 2026 to 30 July 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
4
across the posts below
Posts paid on
3
of 13 we hold a reading for · 23%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vericase. 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 13 most recent posts we hold for this entry, published 28 March 2026 to 30 July 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.
Dear Students,
The countdown has begun! 🚀
Meet the inspiring speakers who will be joining us at Vericase, Uzbekistan’s premier Business Case Competition, on 1 August.
🎙 Asalkhon Sharipova
Asalkhon Sharipova is an International Law student at the University of World Economy and Diplomacy (UWED) and one of Uzbekistan’s most active youth leaders. She is the founder of SwapUp, a regional leadership platform that has…
🚀Vericase is coming to cities across Uzbekistan!
Get ready for one of the biggest case-solving experiences of the summer.
👥Vericase is designed for ambitious students and young leaders eager to challenge themselves, solve real-world business cases, and connect with like-minded people from across the country.
📌What awaits you?
— hands-on case-solving challenges
— collaboration with talented participants
— practica…
🚀 VERICASE | TASHKENT
Ready to challenge yourself with a real business case?
Join Vericase in Tashkent and experience one of the most exciting case-solving competitions of the summer! Work in teams, think like a consultant, and compete with ambitious students from across the city.
🗓 Date: 01.08.2026
📍 Location: Swiss Hotel
💰 Participation Fee: 75,000 UZS
✨What awaits you?
🏆Special prizes for the Top 3 teams
🎓 Ex…
📣 Call for Regional Ambassadors!
Are you passionate, motivated, and ready to make an impact?
✨ Join IVYonaire's Projects as a Regional Ambassador and represent your city while developing your leadership skills, growing your network, and creating opportunities for students.
What you’ll get:
✅ Leadership Extracurricular activities for your Portfolio
✅ Official Certificates
✅ Exclusive opportunities
✅ A chance to mak…
📉 BUSINESS FAILURE SERIES - KODAK
Kodak is widely known as a cautionary example in business strategy.
In 1975, The Company Developed One Of The First Digital Cameras. However, Despite This Early Innovation, Kodak Continued Prioritizing Its Film Photography Business, Which Was The Core Source Of Its Revenue.
At The Time, Digital Imaging Was Viewed As A Threat To Existing Profit Margins Rather Than An Opportunity F…
BUSINESS BATTLE
Two of the most influential business decisions in modern history.
📌Which one created the bigger strategic advantage?
A) Netflix pivoting from DVD rentals to streaming
B) Apple launching the iPhone
Both decisions transformed entire industries.
Both changed consumer behavior forever.
But if you had to choose ONE as the smarter business move, which would it be?
💬 Tomorrow, we'll break down the bu…
🎬 NETFLIX: HOW ONE STRATEGIC DECISION SAVED THE COMPANY
At one point, Netflix relied heavily on its DVD rental business. However, as technology evolved and internet access became widespread, consumer behavior began shifting toward online entertainment.
While many companies failed to adapt to these changes, Netflix took a different approach.
📌 The company:
— Gradually moved away from the DVD rental model;
— Focused…
🚀 Vericase is coming to Nukus, Bukhara, and Surkhandarya!
VeriCase is a unique opportunity for students and young leaders passionate about problem-solving, leadership, and personal growth.
✨ What to expect:
— engaging case-solving sessions
— teamwork and networking opportunities
— real-world problem-solving experience
— leadership and communication activities
— meeting motivated participants from Nukus, Bukhara, an…
✨ Vericase Business Case Competition in Fergana and Jizzakh a celebration of ideas, ambition, and emerging talent!
📍 Our journey continued across regions as Vericase successfully brought together 50+ participants in Fergana and more than 25 participants in Jizzakh, all ready to challenge themselves through real-world business problem solving.
🧠 Throughout the competition, teams worked intensively on case studies, a…
Showing the 12 most recent of 13 posts we hold for @vericase. 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 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.
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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“Vericase Official” (@vericase), 2,314 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/vericase.
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.