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Channel
币教授
@Bjiaoshou
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
891subscribers
-9 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001819956388 |
|---|---|
| Type | Channel |
| Username | @Bjiaoshou |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/Bjiaoshou |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 11:10 | 891 | -9 |
| 8 Aug 2026, 03:18 | 900 | first reading |
Engagement
19 posts held, back to 3 August 2025 — 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 pageof 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 19 posts for this entry, the most recent from 14 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 1m 16s
- Average length
- 1m 16s
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
184 reactions across 2 posts, in 7 distinct kinds. The most used accounts for 17.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 33 | 17.9% | |
| ❤ | 32 | 17.4% | |
| 👍 | 30 | 16.3% | |
| 👏 | 26 | 14.1% | |
| 🔥 | 24 | 13.0% | |
| 🥰 | 22 | 12.0% | |
| 🤩 | 17 | 9.24% |
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 2 of the 19 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 184reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 3 August 2025 to 14 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.
Recent posts
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🎉24❤23👍21👏21🥰17🔥16🤩9
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0xWizard👁💎 (Twitter) 越来越清晰了,接下来两个月,该回来工作了。
0xWizard👁💎 (Twitter) 宗教是世界上最大的心理疗愈机构,三大宗教你信哪个都行,但要真心去信,去看真正的大师曾经解读的经典。 而不是听假和尚念经,假上师供养,赎罪券上天堂这些鬼话。 为什么提这个话题?我发现身边心理遇到问题的人,比想象中多的多,哪怕是从事一个看起来极其稳定工作,家庭幸福安定的人。 新冠之后,感觉宇宙的时间线好像进入了一个更魔幻的版本,不管是大瘟疫,还是经济停滞,或者气候异常,以及释永信之流的佛门魔子,都一副末法时代的景象。 每个人最大的课题,反而在自己内心。 宗教也好,王阳明心学也好,在我看来,都是最高智慧的一个切片,仔细看,总会有帮助的。 这是我能给的唯一建议。
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Showing the 12 most recent of 19 posts we hold for @Bjiaoshou. 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 — 1,395,473 of 1,480,688entries 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
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.
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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“币教授” (@Bjiaoshou), 891 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/Bjiaoshou.
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.