温婉账号被盗了哦,不要任何盲盒抽奖,是骗子哦 @wenwan_0221 温婉新号:@wenwan_01

Channel
南京比奇堡出击日报(信息发布)
@njbiqibaorenzhen
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
51,363subscribers
+9,499 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002671077532 |
|---|---|
| Type | Channel |
| Username | @njbiqibaorenzhen |
| Description | 加入比奇堡:https://t.me/nanjingbqb |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/njbiqibaorenzhen |
Topic
Gambling & betting — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 20:42 | 51,363 | +447 |
| 15 Sept 2026, 21:17 | 50,916 | +260 |
| 14 Sept 2026, 04:21 | 50,656 | -115 |
| 12 Sept 2026, 10:20 | 50,771 | +642 |
| 10 Sept 2026, 06:35 | 50,129 | +585 |
| 7 Sept 2026, 02:21 | 49,544 | +445 |
| 4 Sept 2026, 11:58 | 49,099 | +155 |
| 2 Sept 2026, 21:24 | 48,944 | +207 |
| 1 Sept 2026, 21:15 | 48,737 | +143 |
| 31 Aug 2026, 19:54 | 48,594 | +225 |
| 30 Aug 2026, 21:02 | 48,369 | +203 |
| 30 Aug 2026, 00:24 | 48,166 | +342 |
| 28 Aug 2026, 22:36 | 47,824 | +123 |
| 28 Aug 2026, 01:43 | 47,701 | +70 |
| 27 Aug 2026, 04:49 | 47,631 | +420 |
| 26 Aug 2026, 03:24 | 47,211 | +535 |
| 25 Aug 2026, 04:56 | 46,676 | +200 |
| 24 Aug 2026, 02:14 | 46,476 | +366 |
| 22 Aug 2026, 13:04 | 46,110 | +385 |
| 21 Aug 2026, 06:55 | 45,725 | first reading |
Engagement
64 posts held, back to 27 July 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 109 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 10.2%
- avg views ÷ 51,363 subscribers
- Avg views / post
- 5,230
- 34 posts measured
- Reaction rate
- 0.029%
- reactions ÷ views · ER floor
- Posts in window
- 34
- of 64 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 30 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 September 2026 |
|---|---|
| Posts held | 64 (27 July 2026 – 28 September 2026) |
| Views total | 177,989 |
| Reactions total | 48 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Sept 2026, 05:52 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
- Photos
- 139
- Videos
- 7
- Links
- 19
Lifetime counters from Telegram’s own channel header, read 28 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 1m 09s
- Average length
- 10s
Measured directly from 7 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
158 reactions across 45 posts, in 4 distinct kinds. The most used accounts for 90.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 143 | 90.5% | |
| 👍 | 12 | 7.59% | |
| 🔥 | 2 | 1.27% | |
| 🤣 | 1 | 0.633% |
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 57 of the 64 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 158 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 27 July 2026 to 28 September 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
- 7
- across the posts below
- Posts paid on
- 1
- of 64 we hold a reading for · 2%
- Most on one post
- 7
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @njbiqibaorenzhen. 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 64 most recent posts we hold for this entry, published 27 July 2026 to 28 September 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.
Recent posts
小迷妹老师原号登录不了 疑似被盗 请大家注意防范 联系新号:@xiaomimei9 关注新频道:https://t.me/xiaomimei3
🎰 哆啦女仆中秋节大促 📮 抽奖条件: 🎫 加入-南京比奇堡同人学生会3.0 🎫 加入-第三方认证商家 🎫 加入-南京哆啦女仆私影资料 🎫 加入-南京哆啦女仆私影新群 🍀 每10分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 白嫖券(价值599) × 2 18.8口令红包 × 30 半价券一小时 × 30 200通用优惠卷 × 100 300元券(598项目不可用) × 100 双钟999卷(对标699项目) × 100 100通用优惠卷 × 100 💡 活动说明: 优惠券开奖后7天有效期,不可转让。最终解释权归 @hdhsbsb125 所有 📅 开奖日期:(UTC+8) 2026年09月26日 23时30分00秒
❤3
昨夜晚23:15分进入房间,该男子出击结束后,和同伙假扮被抓(同伙假扮jc)返回老师教室,上门指认老师,由同伙(假jc)施压 自己劝说表明自己花了多少钱解决了,并要老师也交出巨额现金摆平,同伙并翻箱倒柜找现金 (假扮jc严重性大家都知道,这就不多说了)
❤3
细枝硕果,极品中项老师温婉开课了,快来用大🐻D抚慰你的心灵吧! 预约联系: @wenwan_01
偷钱,抢钱,拔套,勒索,威胁 被曝光后还威胁老师,现在还敢继续作案 你的胆子真的是肥嘟嘟的呀
❤3
🎉 韩韩上榜福利放送 🎁 奖品清单 • 韩韩半价单p劵 × 1 🛡️ 参与条件 • 加入 南京比奇堡同人学生会3.0 • 加入 韩韩的小花园 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:10贝壳币 • 祝福上限:无上限次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-09-18 14:32:00 📜 抽奖说明 中奖联系:@hhffc168,开奖后5天之内有效 ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。
❤1
新人07年嫩妹风,明天鼓楼开课咯 联系:@bbbaobao1
九月限时福利🧧 水磨巨乳服务系小奶牛,本月预约P-1张 PP-2张,出击后可提交报告至 @BQB995_bot 感谢哥哥们的支持和厚爱🥪🥪🥪 私聊😍: @xinxinbaby6666
❤1
🎉 小甜甜上榜福利 🎁 奖品清单 • 小甜甜单p半价券 × 1 🛡️ 参与条件 • 加入 南京比奇堡同人学生会3.0 • 加入 小甜甜(净身高175)开课中 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:10贝壳币 • 祝福上限:无上限次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-09-16 21:00:00 📜 抽奖说明 中奖联系:@tian6616888,开奖后5天之内有效 ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。
❤2🔥2
九月限时福利🧧 符文嫩妹coco,本月提前预约P-1张 PP-2张,出击后可提交报告至 @BQB995_bot 感谢哥哥们的支持和厚爱🥪🥪🥪 私聊😍: @Coco5292 报告频道📝: @Coco8592
九月限时福利🧧 175大长腿D🐻,江宁圆圆 @yuan07269 本月P-1张 PP-2张,出击后可提交报告至 @BQB995_bot,获得信用分 私聊😍:@yuan07269
❤1
Showing the 12 most recent of 64 posts we hold for @njbiqibaorenzhen. 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.
Posts edited after publishing
@njbiqibaorenzhen edited 13 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.
- First edit seen
- 10 August 2026
- Most recent edit
- 16 September 2026
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 19 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.
@CJDABG · 10,377104 posts比基尼海滩 3.0(新人认证区)
@njbqb · 9,01945 posts泡芙女士的驾驶室(报告频道)
@cjddbg124 · 6,32028 posts川渝空降小海棠春睡屋
@hz_ht123 · 2,1334 posts南京妍妍小窝
@NJyanyan520 · 4414 posts船锚屋(积分商城及公告栏)
@CJDAJC · 2,0542 posts第三方认证商家
@njdsf1 · 8,8262 posts#建邺区小美个人课堂
@xmaitangyong · 1,7732 posts醒醒的后宫
@Yzzzzzx00 · 4122 posts韩韩的小花园
@azdbbf069 · 2711 post骚视频看频道里链接
@jinli6969 · 24,0451 post南京 尤美 个人老师
@nanjingyoumei · 4971 post水多多的小花园
@shuiduoduomm888pp · 1581 post小海棠的开课小窝
@xht_hz · 1,2941 post白虎个人兼职有🏠可外
@xiaoyizi5201 · 4491 post熙熙的后宫
@xixidehg · 1911 post哆哆在浦口
@XqoHMk0mdstkM2M1 · 3911 post福宝的频道
@yuanbp · 1581 post建邺95丫丫
@yyax95 · 2661 post
Names
Channels on the register whose handles appear in this channel's posts.
@nanjingbqb · 48,4779 posts阿瓦隆通知站
@AvalonNote · 1,6875 posts第三方认证商家
@njdsf1 · 8,8263 posts命运之轮
@SaberVerifier · 2,4043 posts老师打卡,打广告,查找老师
@bbgb1545 · 9,7092 posts韩韩的小花园
@azdbbf069 · 2711 post川渝空降小海棠春睡屋
@hz_ht123 · 2,1331 post骚视频看频道里链接
@jinli6969 · 24,0451 post南京 九月 中项
@jywz675 · 6,4521 post南京拿铁定期杭州上海
@nanjingbe · 9,9651 post南京比奇堡(已认证花榜)
@NJCJHB · 15,9611 post南京哆啦女仆私影新群
@njdlnp888 · 5,4971 post江南女仆联盟——南京
@njnp1888 · 1,4251 post南京哆啦女仆私影资料
@njnvsyzl · 4,9361 post南京私影女仆·南京西西里总频道
@NJSicily · 8,6331 post南京西西里·女仆私影交流总群
@NJXXLZQ · 9,9541 post苏念的日常碎片🧩
@sunian520ff · 3,7691 post小海棠的开课小窝
@xht_hz · 1,2941 post小迷妹的粉丝团
@xiaomimei3 · 151 post小甜甜(净身高175)开课中
@xiaotiantian1456 · 4,0881 post糖宝 05 白小纯
@xiliaozaishangh · 5,4781 post全国包养萝莉/处女/学妹(广告频道)
@youwuhf · 11 post圆圆的频道
@yu07990 · 3731 post南京杭州糖果🍬屋
@Z5tangguo · 7,4061 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@njbiqibaorenzhen 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 5 posts, 14 August 2026 – 20 August 2026 · confirmed gone 13 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“南京比奇堡出击日报(信息发布)” (@njbiqibaorenzhen), 51,363 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/njbiqibaorenzhen.
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.