北京【管鲍会】百花榜推荐总榜 良家总榜:https://t.me/Bjgzsxymd/16670 资源说明:https://t.me/Bjgzsxymd/26276 加入会员:https://t.me/Bjgzsxymd/18016 良家包养:@BjgzL 良家相册:https://t.me/GzbhgL 联系群主:@Gbhjf01 机器人: @Ccolarbot(其他号都是骗子冒充) 新人优惠 玥宝 大长腿 三点粉 嫩妹 冷白皮|20P|百子湾|优惠 P 2000减500 歪歪|18P|百子湾|优惠 P 1800减300 果冻 三点粉 嫩妹 肤白|14P/26PP|百子湾|优惠 P 1400减300 近期爆款 朵朵 大长腿 翘臀 水多 御姐|16P/32PP|珠江帝景 梅姨|18P/35PP|双井 人气口碑 周芷若 大胸 嫩妹|18P|九龙山 王茜 巨乳 大蜜|30P/60PP/80夜|大望路 涵蕊 中…
Channel
北京管鲍会老师榜单(备份)
@Gzbhgmd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,018subscribers
+44 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002519511965 |
|---|---|
| Type | Channel |
| Username | @Gzbhgmd |
| Description | 一键关注管鲍会所有群 https://t.me/addlist/ezP4MaCUddo3ZDFk 联系群主:@Gbhjf01 机器人:@Gbhjf01_bot 狼友交流:@Bjgzsxyn (老师勿进) 备用狼群:@Gzsxypy 优选榜单:@Bjgzsxymd 榜单备份:@Gzsxymd 良家专属:@GzsxyL 作业频道:@Bjgzsxyzy 开课大群:@Bjgzsxykk 广播学习:@Bjgzsxygb |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 October 2026 |
| Last confirmed live | 7 October 2026 |
| Measurements held | 8 |
| On Telegram | t.me/Gzbhgmd |
Topic
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 7 October 2026 and assigned it the closest of 31 fixed categories, at 79% 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 |
|---|---|---|
| 7 Oct 2026, 11:22 | 1,018 | no change |
| 5 Oct 2026, 07:37 | 1,018 | +7 |
| 26 Sept 2026, 16:40 | 1,011 | +10 |
| 15 Sept 2026, 20:01 | 1,001 | +10 |
| 7 Sept 2026, 19:40 | 991 | +4 |
| 30 Aug 2026, 11:29 | 987 | +8 |
| 16 Aug 2026, 16:46 | 979 | +5 |
| 8 Aug 2026, 10:47 | 974 | first reading |
Engagement
5 posts held, back to 6 October 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.57%
- avg views ÷ 1,018 subscribers
- Avg views / post
- 5.8
- 5 posts measured
- Reaction rate
- 8.33%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 5 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 1 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 October 2026 |
|---|---|
| Posts held | 5 (6 October 2026 – 7 October 2026) |
| Views total | 29 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Oct 2026, 11:22 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
- ≈2,890
- Videos
- ≈489
- Links
- ≈454
Lifetime counters from Telegram’s own channel header, read 7 October 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.
- Video runtime
- 18s
- Average length
- 9s
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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 100.0% |
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 1 of the 5 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 6 October 2026 to 7 October 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
🎀老师:#T035 #雅丽 #亚运村 📖资料:168 92 23D 💌标签:#巨乳 #三点粉 💸水费:14P/26PP ✈️联系方式:点击查看 💡联系老师报来自【管鲍会】 ❤️ 点赞|⭐ 关注收藏|💬 联系客服 ❤️🔥福利:新人优惠 P 1400减200 三个优惠名额 有效期剩余7天,找客服领取,三天内出击,须当天反馈作业(否则取消一切福利名额) 📖课后写作业:提交作业(点击跳转) 可进会员内部群或使用积分(积分可抽奖或换代金券) 🎃管鲍男群 | 💎加入会员 📖提交作业 | ⌛️会员积分 一键关注:https://t.me/addlist/UpWksE0_CXAyZjI0 📖作业:0篇|作业频道
北京【管鲍会】百花榜推荐总榜 良家总榜:https://t.me/Bjgzsxymd/16670 资源说明:https://t.me/Bjgzsxymd/26276 加入会员:https://t.me/Bjgzsxymd/18016 良家包养:@BjgzL 良家相册:https://t.me/GzbhgL 联系群主:@Gbhjf01 机器人: @Ccolarbot(其他号都是骗子冒充) 新人优惠 玥宝 大长腿 三点粉 嫩妹 冷白皮|20P|百子湾|优惠 P 2000减500 荔枝 大长腿 巨乳|16P|百子湾|优惠 P 1600减200 歪歪|18P|百子湾|优惠 P 1800减300 果冻 三点粉 嫩妹 肤白|14P/26PP|百子湾|优惠 P 1400减300 近期爆款 朵朵 大长腿 翘臀 水多 御姐|16P/32PP|珠江帝景 梅姨|18P/35PP|双井 人气口碑 周芷若 大胸 嫩妹|18P|九龙山…
北京【管鲍会】百花榜推荐总榜 良家总榜:https://t.me/Bjgzsxymd/16670 资源说明:https://t.me/Bjgzsxymd/26276 加入会员:https://t.me/Bjgzsxymd/18016 良家包养:@BjgzL 良家相册:https://t.me/GzbhgL 联系群主:@Gbhjf01 机器人: @Ccolarbot(其他号都是骗子冒充) 新人优惠 玥宝 大长腿 三点粉 嫩妹 冷白皮|20P|百子湾|优惠 P 2000减500 荔枝 大长腿 巨乳|16P|百子湾|优惠 P 1600减200 歪歪|18P|百子湾|优惠 P 1800减300 果冻 三点粉 嫩妹 肤白|14P/26PP|百子湾|优惠 P 1400减300 近期爆款 朵朵 大长腿 翘臀 水多 御姐|16P/32PP|珠江帝景 梅姨|18P/35PP|双井 人气口碑 周芷若 大胸 嫩妹|18P|九龙山…
🎀老师:#T044 #小妮 #三里屯 📖资料:175 100 18B 💸水费:13P/26PP ✈️联系方式:点击查看 💡联系老师报来自【管鲍会】 ❤️ 点赞|⭐ 关注收藏|💬 联系客服 📖课后写作业:提交作业(点击跳转) 可进会员内部群或使用积分(积分可抽奖或换代金券) 🎃管鲍男群 | 💎加入会员 📖提交作业 | ⌛️会员积分 一键关注:https://t.me/addlist/UpWksE0_CXAyZjI0 📖作业:10篇|快捷查看|作业频道
👍1
Showing the 5 most recent of 5 posts we hold for @Gzbhgmd. 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
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 7 October 2026 — this entry's latest reading, not the date you are reading this.
“北京管鲍会老师榜单(备份)” (@Gzbhgmd), 1,018 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/Gzbhgmd.
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.