呦呦 #朝阳 #百子湾 #千元档 认证:视频认证✅ 171cm 54kg 熊D 标签:#梨形身材 #呦呦 2000p 4000pp 👄 查看限时活动 减200 ☎️ @yoyo101019 【备注无忧推荐】 ------------------------------ 无忧说好评|男群 |无忧奖学金

Channel
北京特级【榜单】
@bjwytj
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,214subscribers
+720 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002315081984 |
|---|---|
| Type | Channel |
| Username | @bjwytj |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/bjwytj |
Topic
Other / unclassifiable — 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 67% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 04:40 | 17,214 | +18 |
| 4 Nov 2026, 06:28 | 17,196 | +21 |
| 3 Nov 2026, 09:20 | 17,175 | +32 |
| 2 Nov 2026, 06:27 | 17,143 | +34 |
| 1 Nov 2026, 03:58 | 17,109 | +19 |
| 31 Oct 2026, 05:38 | 17,090 | +35 |
| 30 Oct 2026, 02:08 | 17,055 | -2 |
| 29 Oct 2026, 02:56 | 17,057 | +14 |
| 28 Oct 2026, 03:20 | 17,043 | +14 |
| 27 Oct 2026, 00:27 | 17,029 | +45 |
| 25 Oct 2026, 22:16 | 16,984 | +29 |
| 24 Oct 2026, 21:58 | 16,955 | +20 |
| 23 Oct 2026, 19:07 | 16,935 | +15 |
| 22 Oct 2026, 22:36 | 16,920 | +19 |
| 21 Oct 2026, 21:37 | 16,901 | +22 |
| 20 Oct 2026, 16:58 | 16,879 | +22 |
| 19 Oct 2026, 16:16 | 16,857 | +19 |
| 18 Oct 2026, 15:46 | 16,838 | +23 |
| 17 Oct 2026, 16:50 | 16,815 | +33 |
| 16 Oct 2026, 16:46 | 16,782 | first reading |
Engagement
61 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 59 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.00%
- avg views ÷ 17,214 subscribers
- Avg views / post
- 861
- 8 posts measured
- Reaction rate
- 0.091%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 61 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. It is computed over the 3 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 61 (3 August 2026 – 4 November 2026) |
| Views total | 6,888 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 04:10 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
- 5m 42s
- Average length
- 8s
Measured directly from 41 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
43 reactions across 25 posts, in 2 distinct kinds. The most used accounts for 97.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 42 | 97.7% | |
| 👍 | 1 | 2.33% |
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 33 of the 61 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 43 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 61 most recent posts we hold, published 3 August 2026 to 4 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 8 posts held from the last 30 days (0%) 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).
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❤1
棠棠 #朝阳 #国贸 #三千档 认证:✅视频认证 168cm 49kg 介绍:二次元动漫少女 白虎一线天 标签:#二次元 #腰臀比天花板 #白虎 #甜妹 #学生 3000p 6000pp 9000夜 ☎️ @bbtheon1 【备注无忧推荐】 📝【作业参考01】【作业参考02】 📝【作业参考03】【作业参考04】 📝【作业参考05】【作业参考06】 📝【作业参考07】【作业参考08】 📝【作业参考09】【作业参考10】 📝【作业参考11】【作业参考12】 📝【作业参考13】【作业参考14】 📝【作业参考15】【作业参考16】 📝【作业参考17】【作业参考18】 📝【作业参考19】【作业参考20】 ----------------------------- 🙍♂️北京男群 |🤑无忧奖学金
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黎雯熙 #朝阳 #三里屯 #两千档 认证:✅视频认证 172cm 52kg 熊E 标签:#大胸 #学生 #黎雯熙 2500p 5000pp 8000夜/自然醒 ☎️ @Lwx1689 【备注无忧推荐】 ----------------------------- 无忧说好评|男群 |无忧奖学金
❤1
玥宝 #朝阳 #百子湾 #两千档 认证:✅视频认证 173cm 48kg 熊C 2000p 3800pp 👄 点击查看限时活动 减500 ☎️ @YBb08710 【备注无忧推荐】 📝【作业参考01】【作业参考02】 📝【作业参考03】【作业参考04】 📝【作业参考05】【作业参考06】 📝【作业参考07】【作业参考08】 📝【作业参考09】【作业参考10】 📝【作业参考11】【作业参考12】 📝【作业参考13】【作业参考14】 📝【作业参考15】【作业参考16】 📝【作业参考17】【作业参考18】 📝【作业参考19】【作业参考20】 📝【作业参考21】【作业参考22】 📝【作业参考23】【作业参考24】 ----------------------------- 无忧说好评|男群 |无忧奖学金
❤1
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❤2
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Showing the 12 most recent of 61 posts we hold for @bjwytj. 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.
Mentions
Named by 3 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.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“北京特级【榜单】” (@bjwytj), 17,214 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/bjwytj.
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.