【南京[比奇堡]同人会报告】 南京南站,公寓,少妇 芭比 @xiaohu652 工兵价:3
❤1

Channel
@CJDABG
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
10,789subscribers
+1,167 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002194583134 |
|---|---|
| Type | Channel |
| Username | @CJDABG |
| Description | 一键加入比奇堡 https://t.me/addlist/013eE100mVYyMmJl 第三方资源 https://t.me/njdsf1 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 54 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/CJDABG |
Adult — 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 11 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 08:00 | 10,789 | +2 |
| 9 Nov 2026, 10:17 | 10,787 | -5 |
| 8 Nov 2026, 01:47 | 10,792 | +4 |
| 7 Nov 2026, 00:10 | 10,788 | +14 |
| 5 Nov 2026, 22:39 | 10,774 | +1 |
| 5 Nov 2026, 00:39 | 10,773 | -20 |
| 3 Nov 2026, 23:36 | 10,793 | +1 |
| 3 Nov 2026, 01:17 | 10,792 | +2 |
| 2 Nov 2026, 00:39 | 10,790 | +16 |
| 31 Oct 2026, 23:01 | 10,774 | +2 |
| 31 Oct 2026, 00:17 | 10,772 | +2 |
| 29 Oct 2026, 22:00 | 10,770 | +3 |
| 28 Oct 2026, 21:26 | 10,767 | +10 |
| 27 Oct 2026, 16:57 | 10,757 | +9 |
| 26 Oct 2026, 17:11 | 10,748 | +18 |
| 25 Oct 2026, 20:39 | 10,730 | +22 |
| 24 Oct 2026, 18:59 | 10,708 | +15 |
| 23 Oct 2026, 21:09 | 10,693 | +17 |
| 22 Oct 2026, 19:21 | 10,676 | -2 |
| 21 Oct 2026, 12:47 | 10,678 | first reading |
234 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 56 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. It is computed over the 25 of 98 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 234 (3 August 2026 – 12 November 2026) |
| Views total | 50,689 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 10:44 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 13 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.
84 reactions across 59 posts, in 6 distinct kinds. The most used accounts for 94.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 79 | 94.0% | |
| 👍 | 1 | 1.19% | |
| 👎 | 1 | 1.19% | |
| 😁 | 1 | 1.19% | |
| 🤔 | 1 | 1.19% | |
| 🤯 | 1 | 1.19% |
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 71 of the 234 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 84 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 234 most recent posts we hold, published 3 August 2026 to 12 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’s own ‘edited’ marker: 87 of 100 posts held from the last 30 days (87.0%) 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).
【南京[比奇堡]同人会报告】 南京南站,公寓,少妇 芭比 @xiaohu652 工兵价:3
❤1
【南京[比奇堡]同人会报告】 2
【南京[比奇堡]同人会报告】 1
【南京[比奇堡]同人会报告】 【妹妹花名】:悠米 【报告署名】:原味牛 【验证时间】:11.12 【验证地点】:江宁胜太路附近 【服务类别】:98 【修车水费】: 1200p(工兵半价) 【妹妹类型】:清纯型嫩妹 【硬件分析】: 人照九分,身高173左右,体重95斤左右,腿很长,身材匀称,无赘肉无纹身,胸a。小穴烫,很润,do起来很丝滑。小夹子音,很有意思。 {颜值综合打分}:8 {身材综合打分}:7 【服务质量】: {服务内容}:嫩妹三件套 {服务水平}:嫩妹刚下海 {服务态度}:听话但主动性不强 【进阶服务】:有的打✅ 1️⃣舌吻 无 2️⃣69 无 3️⃣情绪价值 有 4️⃣陪浴 无 5️⃣莞式(套)服务无 7️⃣毒龙 无 服务综合打分: 6 【纹身疤痕】:无 【是否吸烟】:吸烟,但是课室没有明显烟味 【课室卫生】:课室东西多较乱 【周边环境】:公寓有电梯无门禁 【综合打分】:7.5 【综合评述】:乖巧听…
❤1
【南京[比奇堡]同人会报告】 悠米
【南京[比奇堡]同人会报告】 2
【南京[比奇堡]同人会报告】 1
【南京[比奇堡]同人会报告】 时间:2026.11.12 老师:兮兮 留名:芭蕉树 基础评分】 人照:9 气质:8 身材:9 服务和态度:8 性价比:8.5 环境评分:8.5 ◉综合平均分:8.5 【硬件】:18岁嫩妹,妹子人照9 层相似,个头不高很瘦,抽烟且肩膀有纹身,整体属于瘦小型,胸B触感好。 【科室】:建邺区地铁站旁边小区,周边路边停车。小区无门禁,环境比较安静,课室为老小区,环境比较老旧。 【优点/优势】18嫩妹,说话软软的,配合度高,能🐍,可69,助浴。 【缺点/建议】床上服务只有嫩妹三件套,空调不知道是开晚了还是空调不行,科室不够暖和。 【过程】:联系好时间后,直接去了老师教室。约的中午,老师都没吃饭。人照基本一致,真人有画淡妆。刚进门穿着JK,看上去清纯可爱。先交水费然后交流一下,就妹子助浴,帮你洗澡。 上床后,妹子开始服务,先舔胸,然后口。口的无齿感。最后妹子拿套戴上开工。 开始我在上,然后变换各种姿势,…
👎1
【南京[比奇堡]同人会报告】 【妹妹花名】:兮兮 【报告署名】:小奶狗 【验证时间】:2026.11.12 【验证地点】:奥南 【服务类别】:98 【修车水费】:700p(工兵400p) 【妹妹类型】:腼腆小妹 【硬件分析】: 妹子19左右,身高勉强160,体重90左右,身材匀称,无赘肉,一只膀子和一条大腿上有大面积纹身,🐻B,奶子挺拔,乳头浅粉,下面毛量稀疏,妹子嫩,逼不算紧,水不多,人照差别较大,浅妆容,感觉状态不太好,精神状态显得疲惫。 {颜值综合打分}:7 {身材综合打分}:7 【服务质量】: {服务内容}:有陪浴 无水中萧 有🐍 带套做 {服务水平}:比较腼腆 {服务态度}:能满足的基本尽量按照课表上课,熟练程度欠缺 【进阶服务】:有的打✅ 1️⃣舌吻 ✅ 2️⃣69 ✅ 没有做,我比较介意 3️⃣情绪价值 ✅ 4️⃣陪浴✅ 5️⃣莞式(全套)服务 7️⃣毒龙 {服务综合打分}:7.5 【纹身疤痕】:大花臂 …
【南京[比奇堡]同人会报告】 兮兮
【南京[比奇堡]同人会报告】 4
【南京[比奇堡]同人会报告】 3
Showing the 12 most recent of 234 posts we hold for @CJDABG. 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.
@CJDABG edited 17 posts 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.
We recorded 6 posts on @CJDABG as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 6 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.
@CJDABG named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“泡芙女士模拟驾校(新人认证区,工兵报告)” (@CJDABG), 10,789 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/CJDABG.
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.