Telegram RegisterThe public register of Telegram

Channel

牛马客栈*精选反馈

@cjBg9577

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

7,006subscribers

+61 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003166315653
TypeChannel
Username@cjBg9577
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/cjBg9577

Growth

6,9447,0066,9757 August 2026 — 6,945 subscribers7 August 2026 — 6,945 subscribers7 August 2026 — 6,944 subscribers11 August 2026 — 6,956 subscribers14 August 2026 — 7,006 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net +61. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 6,935–7,015 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 21:157,006+50
11 Aug 2026, 03:166,956+12
7 Aug 2026, 21:356,944-1
7 Aug 2026, 19:016,945no change
7 Aug 2026, 18:556,945first reading

Engagement

60 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.28%
avg views ÷ 7,006 subscribers
Avg views / post
300
60 posts measured
Reaction rate
0.239%
reactions ÷ views · ER floor
Posts in window
60
of 60 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 13 of 60 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held60 (7 August 202611 August 2026)
Views total18,003
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 02:33 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
4s
Average length
4s

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

10 reactions across 9 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10100.0%

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 13 of the 60 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 60 most recent posts we hold, published 7 August 2026 to 11 August 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

11 Aug 2026, 14:27 UTC342 viewsread 12 August 2026

📋 狼友反馈报告 🐺 出击狼友:卢卡斯 🎯 出击对象:苏婉婉 🏷 牛马编号: #牛马·红牌楼0149号 📱 老师 TG:@wdhexh 📍 位置: #西山润城区 📸 人照相似度:7 💬 是否中介代聊:不知 👩‍🦰 类型: 嫩妹 🕒 大致年龄:20 💆‍♀️ 服务项目:口、舔胸 🌟 优点锐评:颜值还行不算差但也不怎么样,脚嫩脚丫小。 ⚠️ 缺点:cj好些年了,第一次差评,不是说老师有多差,是我极其不推荐,完全踩中我的所有雷点。 第一态度敷衍,洗澡应该就碰了我4-5下,沐浴露打在肚子和鸡巴上,抹开冲水,30秒就洗好。自己擦干床上躺下OK没有期待了,舔奶几下开始口短短2分钟口毕,请男上、换女上。射后冲洗再见,全程就是这样。 第二身材重点吐槽,超级排骨,请大家理解超级两个字,脱衣服的时候我看见的肋骨纹理清晰,肩胛骨像两只小翅膀凸起,胸和屁股基本没有。老师胸上的肉量是点一碗米线你一定会差评帽子太少黑心老板的那种。女上的时候我感觉

11 Aug 2026, 14:27 UTC276 viewsread 12 August 2026

📋 狼友反馈报告 🐺 出击狼友:淫为首 🎯 出击对象:小妖妖 🏷 牛马编号: #牛马· 红尘榜0398号 📱 老师 TG:@OES521 📍 位置: #西山区 📸 人照相似度:9 💬 是否中介代聊:否 👩‍🦰 类型:御姐 🕒 大致年龄:28 💆‍♀️ 服务项目:洗吹做 🌟 优点锐评:骚媚御姐 ⚠️ 缺点:🈚️ 📝 PS补充说明:服务还是挺不错的 洗澡的时候有水中萧,洗完擦干然后胸臀推和做毒龙🐉 ,然后翻面继续口 口完带套直接女上 还是挺紧的 老师女上有点厉害坚持的时候比我想象中的还要久 后面和老师大战300回合结束 老师服务态度是真的很好👍 ✅ 是否推荐:十分推荐 📨 投稿机器人:@NMCP01bot ⚠️ 投稿须知(请认真阅读): 1️⃣ 投稿需 上传出击证明(约课记录) 与 出击照片(须经老师同意后拍摄)。 2️⃣ 所有投稿将由人工审核上传,请务必真实、客观。  如发现 伪造车评或虚假反馈,一经核实,投稿人

11 Aug 2026, 14:26 UTC238 views1 reactionsread 12 August 2026
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📋 狼友反馈报告 🐺 出击狼友:匿名网友 🎯 出击对象:琳微 🏷 牛马编号: #牛马·红尘榜0566号 📱 老师 TG:@lww1474 📍 位置: #盘龙区区 📸 人照相似度:9 💬 是否中介代聊:个人 👩‍🦰 类型: 少妇 🕒 大致年龄:29 💆‍♀️ 服务项目:课表都有 🌟 优点锐评:服务态度好 ⚠️ 缺点: 📝 PS补充说明:喜欢仔细热情,口得很仔细认真,差点就出来了。赶紧戴雨伞传教士,后入交货。 ✅ 是否推荐:推荐 📨 投稿机器人:@NMCP01bot ⚠️ 投稿须知(请认真阅读): 1️⃣ 投稿需 上传出击证明(约课记录) 与 出击照片(须经老师同意后拍摄)。 2️⃣ 所有投稿将由人工审核上传,请务必真实、客观。  如发现 伪造车评或虚假反馈,一经核实,投稿人及相关老师将被移除处理。 出击群组:https://t.me/fHxYOO1

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11 Aug 2026, 14:26 UTC232 viewsread 12 August 2026

📋 狼友反馈报告 🐺 出击狼友: 🎯 出击对象:吉安 🏷 牛马编号: #牛马·红牌楼101号 📱 老师 TG:@baiji686868 📍 位置: #盘龙区 📸 人照相似度:9.5 💬 是否中介代聊:个人 👩‍🦰 类型: 御姐 / 女友 🕒 大致年龄:29 💆‍♀️ 服务项目:莞式一条龙 🌟 优点锐评:口活一流,身材比例完美,服务好,不冷场,下面包裹性好。潮喷体验十分满意。 ⚠️ 缺点:无 📝 PS补充说明:喜欢御姐的,女友感的强烈推荐 ✅ 是否推荐:已经是二刷,值得推荐 📨 投稿机器人:@NMCP01bot ⚠️ 投稿须知(请认真阅读): 1️⃣ 投稿需 上传出击证明(约课记录) 与 出击照片(须经老师同意后拍摄)。 2️⃣ 所有投稿将由人工审核上传,请务必真实、客观。  如发现 伪造车评或虚假反馈,一经核实,投稿人及相关老师将被移除处理。 出击群组:https://t.me/fHxYOO1

11 Aug 2026, 14:25 UTC224 viewsread 12 August 2026

📋 狼友反馈报告 🐺 出击狼友: 🎯 出击对象:半夏 🏷 牛马编号: #牛马·红牌楼0143号 📱 老师 TG:@z124098 📍 位置: #区官渡区 📸 人照相似度:9 💬 是否中介代聊: 👩‍🦰 类型: 嫩妹 /女友/嫩妹/ 🕒 大致年龄:24 💆‍♀️ 服务项目:课表 🌟 优点锐评:身材 态度 情绪 ⚠️ 缺点:不能🐍吻 📝 PS补充说明 朋友推荐来的,确实很不错 ✅ 是否推荐:推荐 📨 投稿机器人:@NMCP01bot ⚠️ 投稿须知(请认真阅读): 1️⃣ 投稿需 上传出击证明(约课记录) 与 出击照片(须经老师同意后拍摄)。 2️⃣ 所有投稿将由人工审核上传,请务必真实、客观。  如发现 伪造车评或虚假反馈,一经核实,投稿人及相关老师将被移除处理。 出击群组:https://t.me/fHxYOO1

11 Aug 2026, 14:25 UTC232 viewsread 12 August 2026

📋 狼友反馈报告 🐺 出击狼友:#hse 🎯 出击对象:欣欣 🏷 牛马编号: #牛马·红尘榜0518号 📱 老师 TG: @eabdon0_zm 📍 位置: 盘龙区 📸 人照相似度:9 💬 是否中介代聊:否 👩‍🦰 类型: 嫩妹 🕒 大致年龄:19 💆‍♀️ 服务项目:7p 🌟 优点锐评:想象一下磨合很久的初恋男女的水乳交融。细节无需赘言,随便找一篇小代,寄居蟹或者半价侠杜撰的看看就行。总而言之,如果那时那刻她留下我,我会留下;如果跟我走,我会带走。 ⚠️ 缺点:没有听到她的故事,不确定此时此刻是否仍为彼时彼刻。 📝 PS补充说明:我不想写的,以各位牛马,边角料,中药渣,老liumang的德行,会把初恋的感觉弄丢。 ✅ 是否推荐:是 📨 投稿机器人:@NMCP01bot ⚠️ 投稿须知(请认真阅读): 1️⃣ 投稿需 上传出击证明(约课记录) 与 出击照片(须经老师同意后拍摄)。 2️⃣ 所有投稿将由人工审核

11 Aug 2026, 14:24 UTC209 viewsread 12 August 2026
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📋 狼友反馈报告 🐺 出击狼友: 🎯 出击对象:半夏 🏷 牛马编号: #牛马·红牌楼0143号 📱 老师 TG:@z124098 📍 位置: #区官渡区 📸 人照相似度:9 💬 是否中介代聊: 👩‍🦰 类型: 嫩妹 /女友/嫩妹/ 🕒 大致年龄:24 💆‍♀️ 服务项目:课表 🌟 优点锐评:身材 态度 情绪 ⚠️ 缺点:不能🐍吻 📝 PS补充说明 五官立体 漂亮 ,身材纤细 胸很大 是真胸。 ✅ 是否推荐:推荐 📨 投稿机器人:@NMCP01bot ⚠️ 投稿须知(请认真阅读): 1️⃣ 投稿需 上传出击证明(约课记录) 与 出击照片(须经老师同意后拍摄)。 2️⃣ 所有投稿将由人工审核上传,请务必真实、客观。  如发现 伪造车评或虚假反馈,一经核实,投稿人及相关老师将被移除处理。 出击群组:https://t.me/fHxYOO1

11 Aug 2026, 14:24 UTC204 viewsread 12 August 2026

📋 狼友反馈报告 🐺 出击狼友:yu dong 🎯 出击对象:抓龙筋岚 🏷 牛马编号:#牛马·红牌楼0124号 📱 老师 TG:@lan411lanlan 📍 位置: #五华区 📸 人照相似度:10 💬 是否中介代聊:否 👩‍🦰 类型: 嫩妹 🕒 大致年龄:20 💆‍♀️ 服务项目:499抓龙筋 🌟 优点锐评:刚好赶上来新人,晚上在这边吃烧烤顺嘴问了一下老板,说是可以当教具,给新人妹妹教学一下,直接前往。老板人很好,还下来接一下。上楼选衣服、洗澡就等着。胖胖+新人妹妹双人抓龙筋。胖胖确实是细枝结硕果,腿很长很白,人很瘦,不知道为什么要叫胖胖;同时胖胖非常健谈了,一直在聊天说话,有一点搞笑女,但是聊天聊着很放松,啥都聊。新人妹妹刚接触,比较害羞但是非常听话,在胖胖的对比下显得非常安静,适合i人抓龙筋。最后胖胖肉足+新人妹妹服务扔头出货,直接给到夯爆了 ⚠️ 缺点:硬要说就是洗澡到后面是冷水了,可能我来的太晚的缘故。 📝

11 Aug 2026, 14:24 UTC194 viewsread 12 August 2026

📋 狼友反馈报告 🐺 出击狼友:匿名 🎯 出击对象:橘子 🏷 牛马编号: #牛马·红牌楼0043号 📱 老师 TG:@ggbao94 📍 位置: 官渡区 📸 人照相似度:9 💬 是否中介代聊:否 👩‍🦰 类型: 嫩妹 🕒 大致年龄:24 💆‍♀️ 服务项目:课表上的都有 🌟 优点锐评:定的是夜课,刚到课室刚开始还是很拘谨的。不过老师很温柔也很擅长交谈,满满的女友感。体验很好,非常舒服的一次约课。有机会会二刷的 ⚠️ 缺点:没有 📝 PS补充说明: ✅ 是否推荐:推荐 📨 投稿机器人:@NMCP01bot ⚠️ 投稿须知(请认真阅读): 1️⃣ 投稿需 上传出击证明(约课记录) 与 出击照片(须经老师同意后拍摄)。 2️⃣ 所有投稿将由人工审核上传,请务必真实、客观。  如发现 伪造车评或虚假反馈,一经核实,投稿人及相关老师将被移除处理。 出击群组:https://t.me/fHxYOO1

11 Aug 2026, 14:24 UTC189 views0 reactionsread 12 August 2026
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📋 狼友反馈报告 🐺 出击狼友: 🎯 出击对象:顺玥 🏷 牛马编号: #牛马·红牌楼0078号 📱 老师 TG:@xixiya624 📍 位置: #官渡区 📸 人照相似度:10 💬 是否中介代聊:否 👩‍🦰 类型: 嫩妹 / 少妇 / 御姐 / 嬢嬢 / 女友 🕒 大致年龄:18 💆‍♀️ 服务项目:课表上有的都有 🌟 优点锐评:温柔体贴,知心小姐姐,服务非常好,不催 ⚠️ 缺点:无缺点,非常符合本人xp 📝 PS补充说明:第一来顺玥姐姐这,人照十分,香香软软糯糯的小蛋糕😄,原本123的我在温柔乡竟然坚持了十分钟,小姐姐非常照顾弟弟嘻嘻 ✅ 是否推荐:强烈推荐!!! 📨 投稿机器人:@NMCP01bot ⚠️ 投稿须知(请认真阅读): 1️⃣ 投稿需 上传出击证明(约课记录) 与 出击照片(须经老师同意后拍摄)。 2️⃣ 所有投稿将由人工审核上传,请务必真实、客观。  如发现 伪造车评或虚假反馈,一经核实,投稿

11 Aug 2026, 14:23 UTC206 views1 reactionsread 12 August 2026

😙精英反馈报告😙 🐺 出击狼友:匿名 🎯 出击对象:#若曦 🏷 牛马编号: #牛马·红尘榜0432号 📱 老师 TG:@ruoximn 📍 位置: #西山区 📸 人照相似度:7 💬 是否中介代聊:否 👩‍🦰 类型: 御姐 / 女友 🕒 大致年龄:26左右吧 💆‍♀️ 服务项目:陪浴、水中萧、69、三件套。 无🐍!!! 🌟 优点锐评:皮肤白皙,娃娃脸带着点婴儿肥。普通话好,嗓音也不错,是温柔型的,身高应该有个165左右,身材微肉。比较讲卫生。户型外观小巧,毛量不多,有修剪。 ⚠️ 缺点:个人原因,最近私车开得较多,所以个人感觉稍微有点流程化。不过服务系老师就是这样啦。 📝 PS补充说明: 意外中奖,看了下老师的榜单,AI照服务系,没抱太大希望,私信老师发了个照片,看着还不错,预约时间前往(我这个人脸盲,去的时候早已忘了老师发的是什么样子了)整个沟通过程老师耐心比较好,消息回的也及时,感觉性格应该很好。 进门见到老师第

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11 Aug 2026, 14:23 UTC199 viewsread 12 August 2026
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Showing the 12 most recent of 60 posts we hold for @cjBg9577. 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 — 63,092 of 1,478,351entries 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

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 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“牛马客栈*精选反馈” (@cjBg9577), 7,006 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/cjBg9577.

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.