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Channel

桂林报告榜

@gl_bgb

2 usernames

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

2,546subscribers

+48 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002030411711
TypeChannel
Usernames@gl617 @gl_bgb
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live31 August 2026
Measurements held14
Confirmed unchanged1 time, most recently 31 August 2026
On Telegramt.me/gl_bgb

Growth

2,4982,5462,52214 August 2026 — 2,498 subscribers14 August 2026 — 2,498 subscribers14 August 2026 — 2,498 subscribers15 August 2026 — 2,503 subscribers15 August 2026 — 2,508 subscribers18 August 2026 — 2,512 subscribers19 August 2026 — 2,518 subscribers21 August 2026 — 2,531 subscribers22 August 2026 — 2,532 subscribers25 August 2026 — 2,537 subscribers25 August 2026 — 2,535 subscribers28 August 2026 — 2,538 subscribers30 August 2026 — 2,541 subscribers31 August 2026 — 2,546 subscribers14 August 202631 August 2026
14 measurements spanning 16 days, net +48. 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 2,491–2,553 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 04:542,546+5
30 Aug 2026, 13:252,541+3
28 Aug 2026, 13:062,538+3
25 Aug 2026, 06:382,535-2
25 Aug 2026, 01:082,537+5
22 Aug 2026, 16:352,532+1
21 Aug 2026, 20:172,531+13
19 Aug 2026, 00:532,518+6
18 Aug 2026, 09:582,512+4
15 Aug 2026, 20:272,508+5
15 Aug 2026, 09:482,503+5
14 Aug 2026, 19:252,498no change
14 Aug 2026, 19:152,498no change
14 Aug 2026, 19:052,498first reading

Engagement

20 posts held, back to 25 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
35.9%
avg views ÷ 2,546 subscribers
Avg views / post
914
8 posts measured
Reaction rate
0.363%
reactions ÷ views · ER floor
Posts in window
8
of 20 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 5 of 8 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 12 August 2026
Posts held20 (25 July 202612 August 2026)
Views total7,311
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 19:31 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.

Reaction mix

38 reactions across 15 posts, in 4 distinct kinds. The most used accounts for 78.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3078.9%
👎410.5%
💩37.89%
👍12.63%

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 17 of the 20 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 38 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 25 July 2026 to 12 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

12 Aug 2026, 10:35 UTC523 views2 reactionsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️ 【验证留名】:执念 【验证时间】:26年8月9日 【所在位置】:七星区 【妹子花名】:小可 【身高身材】:160左右,苗条 【凶器罩杯】:A吧,软软的不下垂 【湿度紧度】:湿,紧,毛毛不是很多 【皮肤肤色】:正常 【颜值相似】:9 【机车行为】:无 【课室环境】:大,干净,位置也好找 【个人卫生】:干净 【时间管理】:充足 【优点缺点】:很可爱的小女生,很乖很听话 【服务内容】:洗吹做,舌吻 【服务详情】:按照指引很快就找到了课室,在居民小区不是公寓,门口保安挺尽责的,安全性拉满。 刚到课室,见到小可给我的第一感觉就是香香软软的小蛋糕,脸小小的,眼睛大大的,简直不要太可爱,身材很苗条。简单说几句付了课时费就指引我去洗澡,没一会她也进来了,感觉她有点不好意思帮我洗澡,没什么手法,估计是怕美甲扎到我,也可能年纪小经验不是很足,之后我帮她洗澡她也是很腼腆,最后给她擦干了身子,全

2

Signed 🤖群管机器人

11 Aug 2026, 16:23 UTC721 views2 reactionsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️(最高五星,一颗星代表两分,人无完人,五星不代表满分) 【验证留名】:AK某 【验证时间】:8.11 【所在位置】:漓江附近 【妹子花名】:小可 【身高身材】:目测160以上偏瘦身材很好非常棒! 【凶器罩杯】:欧目测A➕ 【湿度紧度】:毛不多,但是很粉 【皮肤肤色】:黄偏白 【颜值相似】:9.99999分 【机车行为】:是否有机车行为(久等、态度差、玩手机、催时间等等) 【课室环境】:位置是否易找,停车是否方便,出入有无门禁,房间是否整洁等等 【个人卫生】:有无陪浴,是否抽烟,有无一次性浴巾/漱口水/牙刷等等 【时间管理】:开课是否准时,排课是否宽松,有无催客、赶客、罚站等行为 【优点缺点】:优点多 【服务内容】:课表 【服务详情】:兄弟们,我后悔呀,我太后悔了!!!后悔没有早点来,唉。。。难受啊 一进门就看见一个非常非常可爱的妹妹瞪着他那个大眼睛对我笑,我当场就硬了,人照

2

11 Aug 2026, 07:56 UTC642 viewsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️ 【验证留名】:迪克狐迪克 【验证时间】:20260807 【所在位置】:七星区 【妹子花名】:困困 【身高身材】:158左右,身材很瘦 【凶器罩杯】:A 【湿度紧度】:水帘洞,全程流水潺潺 【皮肤肤色】:正常肤色 【颜值相似】:人照基本一致 【机车行为】:无 【课室环境】:在居民楼里面,位置比较安全,教室环境也可以 【个人卫生】:妹妹抽烟,但是味道不大 【时间管理】:满钟不催 【服务内容】:嫩妹三件套+舌吻69 【服务详情】:秋天的第一杯奶茶和cj都是给困困的。困困红休完的当天已经验牌,和小可妹妹一样是个娇小可爱的萝莉。第一次见面话不多,也害羞的不敢和我一起洗浴,会的确实不多但配合的态度可以加分。直到我发起进攻,才发现困困是个敏感的水娃,越是加强攻势越是配合。结果第一次上课就不小心拖堂,心里还依然意犹未尽当场即约战周五二刷。 再见困困时已经没有第一次那种生疏

Signed 🤖群管机器人

9 Aug 2026, 16:34 UTC905 views3 reactionsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️ 【验证留名】:清风 【验证时间】:8.9 【所在位置】:秀峰区 【妹子花名】:东北妞 【身高身材】:165 身材很好 【凶器罩杯】:36D天然 【湿度紧度】:紧致 💦多 【皮肤肤色】:皮肤白净 【颜值相似】:9 【机车行为】:无 【课室环境】:干净卫生 【个人卫生】:很爱干净 【时间管理】:时间观念好 【优点缺点】:身材好 服务好 【服务内容】:课表都有 【服务详情】:看频道老师人瘦胸大,看起来挺嫩的,那肯定得探一探,约好时间过去,地方很好找,直接就上去了;到了楼上一看人照一致真的好看,赶紧交了水费,然后脱了衣服一起去洗澡才看到奶是真的大,还有点太大了,晕奶 哈哈;完事到房间等着,课表上该有的都有,口的很舒服,无齿感,然后口硬了之后戴☔开干,先是正常位搞了一会感觉快忍不住了赶紧停下,换成后入,抱着老师的大屁股一阵猛冲然后出货了,完事穿完衣服后又过去抱了一下,然后美美的下楼

💩3

Signed 🤖群管机器人

9 Aug 2026, 05:31 UTC≈1,390 views3 reactionsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️ 【验证留名】:Linda 【验证时间】:8.8 【所在位置】:秀峰区 【妹子花名】:东北妞 【身高身材】:165 【凶器罩杯】:36D 【湿度紧度】:紧致水多 【皮肤肤色】:粉白 【颜值相似】:9分 【机车行为】:无 【课室环境】:干净卫生 【个人卫生】:有陪洗 【时间管理】:无罚站 准时守时 【优点缺点】:性格好 有耐心 【服务内容】:课表上的都有 【服务详情】:看到老师的资料是我喜欢的类型。看的鸡巴痒痒的,提前约了来试试水。时间敲定后,到了地方,刚推门进去见到本人,第一印象果真比照片好看太多。个子高挑,整体气质干净清爽,皮肤细腻白皙,状态也不错。和频道里的照片差不多,能有个九成左右的还原度,真人看起来更年轻!本来是约的p,见到老师直接改pp,心动💓的感觉! 付完水费先是冲洗,在水里的时候氛围就慢慢起来了。她靠得很近,动作节奏不急不躁。尤其是她的嘴唇,很有吸引力,五官也

3

Signed 🤖群管机器人

8 Aug 2026, 11:41 UTC800 viewsread 14 August 2026

#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️ 【验证留名】:E(工兵) 【验证时间】:2026-8-7 【所在位置】:桂林 【妹子花名】:困困 【身高身材】:155 36kg,偏瘦 【凶器罩杯】:a,乳头偏黑,手感软 【湿度紧度】:一般紧,很润,毛量少,无异味 【皮肤肤色】:小麦 【颜值相似】:颜值不错,穿着jk,双马尾,让人眼前一亮。很可爱的一个小妹妹,非常娇小 【机车行为】:回复消息比较随机 【课室环境】:位置好找,万达附近。整体很大,是三室一厅的布局,客厅很大,但是可能因为是嫩妹,整理卫生这一块就会比较随意,有些吃完的餐盒没收拾,不过无伤大雅,整体上还可以 【个人卫生】:抽烟,舌吻会有烟味,介意的可以参考。 【时间管理】:时间管理是可以说唯一的缺点了,很早就约好时间却忘记了,不得不吐槽一下 【优点缺点】:先说缺点:还是时间管理这方面做的不太好,有罚站。但是事后会积极补救,一开始我罚站了好一会还说要补偿我来回

Signed 🤖群管机器人

5 Aug 2026, 08:53 UTC≈1,190 viewsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️ 【验证留名】:匿名 【验证时间】:8.4 【所在位置】:小区 【妹子花名】:泡泡老师 【身高身材】:168 【凶器罩杯】:C 【湿度紧度】:紧 【皮肤肤色】:小麦色 【颜值相似】:人照一致 【机车行为】:无 【课室环境】:干净 【个人卫生】:好 【服务内容】:课表 【服务详情】:翻了下狼友们留下的战报,有人说泡泡老师长得像景甜,刚好我喜欢御姐,所以联系了泡泡老师,想来尝试下,刚开始老师发了位置看了下有点远,想放弃了的,但是泡泡老师无意间一句话勾起了我的好奇心,于是果断出击,约好了时间到小区。上楼第一眼就被惊艳到,我太吃她的身材1.68了,是我喜欢的类型,然后进门交费洗澡(和老师一起洗的)哈哈哈哈哈老师帮我涂沐浴露,搓泡泡,舔奶头,摸小jiji,很认真帮我洗小jiji,哈哈哈哈哈,洗完上床也不墨迹,课表服务来了个遍后,直接先上口活,小嘴巴包裹住我的兄弟,很温和,也很会吸,爽

Signed 🤖群管机器人

4 Aug 2026, 08:31 UTC≈1,140 views7 reactionsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐⭐⭐⭐⭐⭐️⭐️⭐️⭐️⭐️ 【验证留名】:⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 【验证时间】:40分钟 【所在位置】:尊神庙附近 【妹子花名】:露露18岁 【身高身材】:163这样 【凶器罩杯】:b罩 【湿度紧度】:8厘米 【皮肤肤色】:挺白的 【颜值相似】:很像 【机车行为】:非常爽 【课室环境】:挺干净挺安静安全的 【个人卫生】:挺干净的 【时间管理】:40分钟 【优点缺点】:皮肤白奶子挺大的,逼挺紧毛不多 【服务内容】:一起洗澡帮我口了,懒汉推车 观音坐莲 【服务详情】:露露太漂亮了我经常约她的,服务态度好,口活也好会观音菩萨 懒汉推车 太棒了皮肤细腻又白又嫩太爽了,这600块钱花的真值,说实话这点钱能玩到这么好看的美女真的很值得,逼逼又紧水又多毛挺少的非常适合舔一下,下次我会介绍我的兄弟来

👎42👍1

Signed 🤖群管机器人

29 Jul 2026, 12:17 UTC≈1,740 views6 reactionsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️ 【验证留名】:亓丌(工兵) 【验证时间】:2026.7.29 【所在位置】:七星 【妹子花名】:小可 【身高身材】:很苗条 【凶器罩杯】:A~B 【湿度紧度】:紧湿 【皮肤肤色】:光滑 【颜值相似】:9.9 【机车行为】:没有 【课室环境】:一次性用品 【个人卫生】:课前洗漱 【时间管理】:123时间用不完 【优点缺点】:全优 【服务内容】:洗吹做蛇 【服务详情】:小妹妹好评如潮,拿下临时拍卖工兵,遥控上楼。妹妹的衣品很好,穿着搭配很好看,路上看到眼前一亮那种,标准黑长直白幼瘦。自然大方都不用哥布林找话题尬聊,还给看了2眼朋友圈的美照。褪去衣衫,有那么一丢丢偏瘦,感觉可以多吃点。洗漱完毕抱着妹妹就蛇了上去,小舌头香香软软的,至于69这些,妹妹表示不太过分和暴力都可以配合。接下来妹妹小吹了一下,没有太多的技艺和花样,但是轻柔细心的上下套弄吮吸,刺激感也是满满。迫不及待带上套

6

Signed 🤖群管机器人

29 Jul 2026, 04:28 UTC≈1,540 views4 reactionsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️(最高五星,一颗星代表两分,人无完人,五星不代表满分) 【验证留名】:清风(工兵) 【验证时间】:2026.7.23 【所在位置】:七星区小区民宿 【妹子花名】:困困 【身高身材】:目测身高160、很瘦小(过瘦、苗条、均衡、微胖等等) 【凶器罩杯】:A 【湿度紧度】:湿紧,正常毛量,无异味 【皮肤肤色】:小麦 【颜值相似】:7分像,画着淡妆,我个人比较喜欢嫩妹素颜 【机车行为】:没有有机车行为(久等、态度差、玩手机、催时间等等) 【课室环境】:位置好找,有地下停车场,但是走地下停车场不太好找楼栋 【个人卫生】:我没要求妹子陪浴,应该有抽烟习惯,有烟味,但是上课时间里没有抽烟,有一次性浴巾 【时间管理】:开课准时,排课宽松,无催客、赶客、罚站等行为 【优点缺点】:优点就是嫩妹的优点,非常健谈,口得也舒服,就是🐻小了点 【服务内容】:我要求不多,嫩妹三件套,课表写有的都可以要求

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29 Jul 2026, 04:27 UTC≈1,200 views1 reactionsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️ 【验证留名】:保密 【验证时间】:7,27 【所在位置】:秀峰 【妹子花名】:泡泡 【身高身材】:168左右 【凶器罩杯】:B到C 【湿度紧度】:水多紧致 【皮肤肤色】:小麦色 【颜值相似】:9.5 【机车行为】:无 【课室环境】:好,隔音 【个人卫生】:干净,卫生 【服务内容】:包夜 【服务详情】:约好时间准时到达,按指示到达楼层,泡泡老师一开门就凑过来给了热情的拥抱,到沙发上老师会主动递水,交了水费后互相宽衣解带进入浴室冲洗,洗澡过程各种调情挑逗都很到位,水中潇也有,洗完会帮忙擦背。让老师换好情趣的三点式到床上,然后常规服务,深喉,69都有,随后让老师带套女上先摇,小穴包裹感不错,又暖又润一对车灯也跟着上下起伏,老师体力很好感觉经常健身,反馈很好,姿势配合的也很不错,顺利完成一水,一水后稍微休息会,跟泡泡老师闲聊几句才得知老师还是武术学校毕业的,还会一字马,泡泡老师很

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29 Jul 2026, 04:26 UTC≈1,090 views1 reactionsread 14 August 2026
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#桂林花间坊出击报告 『推荐指数』:⭐️⭐️⭐️⭐️⭐️ 【验证留名】:阿樂 【验证时间】:7.23 【所在位置】:七星 【妹子花名】:团子 【身高身材】:160 【凶器罩杯】:B 【湿度紧度】:水多 紧 【皮肤肤色】:白 【颜值相似】:9 【机车行为】:无 【课室环境】:干净 【个人卫生】:干净 【时间管理】:不催 【优点缺点】:态度非常好 女友感 【服务内容】:课表 【服务详情】:其实是复刷了,之前在隔壁群就没写报告。听闻马上离开桂林了马上复刷,进门还是这么好看,东北软妹子,对的你没有听错软妹子!!女友感十足,讲话轻声细语的,情绪价值拉满,服务就没啥服务xcz,但是耐不住老师好看啊,皱着眉头呻吟的样子真的欲罢不能,等老师再回桂林还会反食。

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Signed 🤖群管机器人

Showing the 12 most recent of 20 posts we hold for @gl_bgb. 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 — 701,736 of 1,629,419 entries 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.

Mentions

Named by 1 registered channel — 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 31 August 2026 — this entry's latest reading, not the date you are reading this.

“桂林报告榜” (@gl_bgb), 2,546 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/gl_bgb.

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.