Channel
@officialunivercityofcrypto
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
22,688subscribers
-672 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001782102113 |
|---|---|
| Type | Channel |
| Username | @officialunivercityofcrypto |
| Description | 암호화폐 정보채널입니다. 제보&문의:@dan_choi 공지방 https://t.me/officialunivercityofcrypto 숙제방 https://t.me/airdropgraduation 매매방 https://t.me/allkindchallenge 졸준위 후원 메타마스크 주소 (모든 후원은 채널에 에어드랍) 0x242480d34b3b8a86544ca8e63a5b7ade63e5041a (EVM주소입니다, 이더리움 외 체인 후원가능) |
| Created | 16 October 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/officialunivercityofcrypto |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 00:51 | 22,688 | -7 |
| 7 Nov 2026, 01:21 | 22,695 | -14 |
| 5 Nov 2026, 23:30 | 22,709 | -16 |
| 4 Nov 2026, 20:50 | 22,725 | +5 |
| 3 Nov 2026, 19:55 | 22,720 | -3 |
| 2 Nov 2026, 17:56 | 22,723 | -12 |
| 1 Nov 2026, 20:47 | 22,735 | +3 |
| 31 Oct 2026, 20:48 | 22,732 | -7 |
| 30 Oct 2026, 21:28 | 22,739 | -7 |
| 29 Oct 2026, 20:27 | 22,746 | -10 |
| 28 Oct 2026, 21:16 | 22,756 | -13 |
| 27 Oct 2026, 20:41 | 22,769 | -1 |
| 26 Oct 2026, 18:00 | 22,770 | -5 |
| 25 Oct 2026, 18:21 | 22,775 | -11 |
| 24 Oct 2026, 18:56 | 22,786 | +2 |
| 23 Oct 2026, 20:19 | 22,784 | +3 |
| 22 Oct 2026, 16:58 | 22,781 | +12 |
| 21 Oct 2026, 14:29 | 22,769 | -10 |
| 20 Oct 2026, 09:05 | 22,779 | -14 |
| 19 Oct 2026, 11:30 | 22,793 | first reading |
344 posts held, back to 3 August 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 100 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 344 (3 August 2026 – 7 November 2026) |
| Views total | 227,152 |
| Reactions total | 1,184 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 14:48 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.
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 2 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.
4,299 reactions across 337 posts, in 15 distinct kinds. The most used accounts for 38.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,657 | 38.5% | |
| 👍 | 1,386 | 32.2% | |
| 👀 | 915 | 21.3% | |
| 🔥 | 100 | 2.33% | |
| 🙏 | 89 | 2.07% | |
| 😇 | 53 | 1.23% | |
| 🫡 | 47 | 1.09% | |
| 🎉 | 14 | 0.326% | |
| 👏 | 10 | 0.233% | |
| 🐳 | 8 | 0.186% | |
| 👌 | 8 | 0.186% | |
| 🦄 | 8 | 0.186% | |
| 😘 | 2 | 0.047% | |
| 🍾 | 1 | 0.023% | |
| 😍 | 1 | 0.023% |
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 344 of the 344 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 4,380 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 344 most recent posts we hold, published 3 August 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @officialunivercityofcrypto. 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 344 most recent posts we hold for this entry, published 3 August 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 344 most recent posts we hold, published 3 August 2026 to 7 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Telegram’s own ‘edited’ marker: 12 of 93 posts held from the last 30 days (12.9%) 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).
☑️26년 고점에서 🇮🇩 인도네시아, 자카르타 종합지수: -45.0% 🇰🇷 한국, 코스피: -42.6% 🇨🇳 중국, 선전 성분지수: -29.9% 🇹🇷 튀르키예, BIST 100: -24.5% 🇧🇷 브라질, 보베스파지수: -19.6% 🇹🇼 대만, 가권지수(TAIEX): -16.8% 🇯🇵 일본, 닛케이 225: -16.1% 🇮🇱 이스라엘, TA-35: -14.9% 🇺🇸 미국, 나스닥 100: -13.8% 🇨🇳 중국, 상하이 종합지수: -13.4% 🇿🇦 남아프리카공화국, JSE 종합지수: -12.8% 🇭🇰 홍콩, 항셍지수: -11.6% 🇺🇸 미국, 나스닥 종합지수: -11.2% 🇺🇸 미국, 러셀 2000: -10.7% 출처 #고점
👍8👀3❤2🔥2
대통령으로써 , AI 초지능 100% 지지한다. 초지능(SI)에 대한 전폭적인 지지를 선언하며, 이 기술을 수용하는 미국 주들과 협력할 것을 약속한다. 초지능은 금과같고, 그 경제적 잠재력을 거부하는 것은 어리석은 리더십일 뿐이다. #트황
👍8🔥8❤5
사라진 150억 원어치 엔비디아칩…트럭 도난 수사 중 실리콘밸리 지역매체 머큐리뉴스에 따르면 캘리포니아주 오클랜드 경찰은 오클랜드에서 텍사스주 포트워스로 실어 보낼 예정이었던 엔비디아 화물 도난 사건을 수사 중. 도난당한 화물은 엔비디아의 인공지능(AI) 반도체와 하드웨어 등이 실린 적재대 6개 분량으로, 시가 1천140만 달러(약 154억 원) 상당. ☑️예전 트럭강도범 : 현금, 금 요즘 트럭강도범 : 반도체 뉴스 #엔비디아 #트럭강도
👍6👀4❤1
업비트 : 고팍스 모니터링하고있다. 투자자 보호를 위해 필요한 경우 고팍스 거래소로의 디지털 자산 출금을 제한할 수 있다. 공지 #고팍스 #국내
👀7👍5❤2
일반적으로 거래는 하게냅두고 입출금닫고 지갑점검 하지않나 .. 공지
🙏5👀2
고팍스 완전 셧다운됬네요 내돈 고팍스에있었으면 정말 너무 불안할듯 #고팍스
👀5❤2👍2
최태원, 이혼 재산분할금 위해…주식 팔아 9,440억 마련 165만주 매도했네요 어제. #하이닉스
😇11👀3❤2
해외 찌라시: 이번 주 여러 헤지 펀드가 막대한 손실, 투자자 인출, 펀드 폐쇄에 직면한 것으로 알려져 이름이 오를 펀드들: - Axebrook - Walleye Capital ($17B) - 2020년 3월 이후 최악의 달 (-5.9% 10월); 주식 L/S 리더십 + 팀 축소; 자본 반환; Vol + Quant에 치중 - Engineers Gate - Lone Pine - Millennium - Verition - Samlyn 출처 #해외
❤4😇3👀1
일론이 창펑이를 좋아하는거야 아니면 조롱하는걸까.. 창펑관련 계속 긁는거같은데 .. #머스크
👀7👌3👍1
[속보] 엔비디아, 네이버 3대 주주 된다…1조 3412억원 납입 완료 ‘지분 4.13% 확보’ https://n.news.naver.com/article/081/0003696672?sid=101 #네이버
👀6❤4👍2
대 상 혁 메탈카드 Get또 아리가또 부엉센세 🫰 #페이커 #실물우편
❤8👍4👀3
🇺🇸엘리자베스 워런이 상원 은행위원회 위원장으로 취임할 것으로 예상된다함. ☑️미국 정치권에서 크립토에 매우 비판적인 대표 인물중 한명. 그렇다고 투자자들이 손해 보는 걸 옹호하는 건 아님. 올해 2월 급락 당시에는 미국인들이 힘들게 번 돈을 잃는 것을 기뻐해서는 안 된다며, 일반 투자자에게 다른 금융상품과 같은 정보와 보호 장치가 필요하다고 밝힘. 시장은 안좋게 볼수도있긴하겠지만, 자자 관점에서는 ‘친크립토 규제 완화에 강하게 제동을 거는 인물’로 이해하면 됌. #미국
😇10❤6👍4👀2
Showing the 12 most recent of 344 posts we hold for @officialunivercityofcrypto. 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.
@officialunivercityofcrypto edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 56 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 14 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 19 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 30 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“졸업준비위원회🎓” (@officialunivercityofcrypto), 22,688 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/officialunivercityofcrypto.
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.