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Channel

曼秀雷敦测评群

@manxiuleiduncep

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

48subscribers

-1 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003912510723
TypeChannel
Username@manxiuleiduncep
CreatedBetween 1 April 2026 and 21 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live10 August 2026
Measurements held3
On Telegramt.me/manxiuleiduncep

Growth

484948.59 Aug 2026, 04:48 — 49 subscribers9 Aug 2026, 20:51 — 48 subscribers10 Aug 2026, 12:47 — 48 subscribers9 Aug 2026, 04:4810 Aug 2026, 12:47
3 measurements spanning 1 day, net -1. 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 48–49 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 12:4748no change
9 Aug 2026, 20:5148-1
9 Aug 2026, 04:4849first reading

Engagement

16 posts held, back to 21 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
900.0%
avg views ÷ 48 subscribers
Avg views / post
432
5 posts measured
Reaction rate
0.165%
reactions ÷ views · ER floor
Posts in window
5
of 16 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 3 of 5 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 6 August 2026
Posts held16 (21 June 20266 August 2026)
Views total2,160
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 12:47 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
5
Videos
20
Links
11

Lifetime counters from Telegram’s own channel header, read 10 August 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 36s
Average length
7s

Measured directly from 13 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

17 reactions across 10 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17100.0%

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 12 of the 16 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 17reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 21 June 2026 to 6 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

6 Aug 2026, 09:34 UTC381 viewsread 10 August 2026
Video

店铺:#曼秀雷敦 女仆:#猫猫 类型:#纯御 价格:600/h 出击人:大明举重冠军 出击时间:2026.07 首次服役时间:2026.5 环境: S,高档小区,独卫独浴,环境T0 人照相似度:人照9 罩杯:C 身材: 身高:165 体重:98 皮肤:白度5,弹性5,平滑度5。 态度:A 敏感处: 自行摸索 别有乐趣 抽烟:无 纹身:无 唇钉舌钉:无 吻技:小蟒蛇 🌱初见 看到模卡特别喜欢,发现有班马上约上,到店一看人照无差,纯御型的妹妹。 🔥过程 我先在房间躺着,看着凡人修仙传的最新更新等猫猫进来,不一会儿随着敲门声,猫猫缓缓进门,乖巧的躺到我身边,递上漱口水,微微蜷缩进我怀里,聊天聊着知道猫猫是刚毕业,找工作之余来兼职的,是爱打瓦的网瘾少女,随着聊天的继续,我的手开始向着妹妹进攻而去,C杯的高峰一手握不下,轻拢慢捻抹复挑,猫猫开始发出害羞的声音,另一只手也不闲着抚摸着猫猫的圆润的大腿,紧实修长的大腿让人流连忘

1 Aug 2026, 12:38 UTC342 views0 reactionsread 10 August 2026
Video

#目录 #模板 模板A 返回频道导航 #No 店铺:#曼秀雷敦 女仆:#秋秋 店铺资料: 类型:#邻家妹妹 #女友系 价格:699/h 出击人:#匿名 出击时间:2026.08 环境: S,酒店式公寓,干净整洁,氛围温馨 人照相似度:人照9分,很耐看 罩杯:胸B,手感柔软,天然 身材:身形匀称,腰肢纤细,双腿笔直 身高:165 体重:93 皮肤:白度4,弹性5,平滑度4。皮肤白皙光滑,触感很好。 态度:热情贴心,温婉可人,全程女友感爆棚,极具亲和力与服务意识,毫无敷衍感。 聊天交流:健谈风趣,善于倾听与回应,话题自然不断档,情绪价值直接拉满,沟通起来毫无代沟与尴尬感。 敏感处: 胸 抽烟:无 纹身:无 唇钉舌钉:无 吻技:蟒蛇 过程描述: 秋秋一进门就带着笑容非常热情的打招呼,第一印象极其舒心。进屋后服务细节控拉满,不仅主动帮我准备好洗漱用品,还非常贴心地替我撕开了漱口水包装,细节体验直接加分。 洗漱完毕躺下后,还没聊上三

31 Jul 2026, 12:16 UTC365 views1 reactionsread 10 August 2026
Video

店铺:曼秀雷敦 女仆:冰冰 类型:清瘦御姐 价格:699/h超大 出击人:#XX 出击时间:2026.07 首次服役时间:不清楚 环境: 公寓房 人照相似度:8分吧,比较精致 罩杯:胸c 身材:人瘦,腿很细很长 身高:170打底 体重:100出头 皮肤:白度5弹性4 平滑度4.5 态度:s 非常听话 敏感处: 胸 耳朵 抽烟:未闻到烟味 纹身:无 唇钉舌钉:无 吻技:大蟒蛇 过程:一开始让我等了十几分钟,见到冰冰本人后觉得等的也非常值得。妹妹本人是比较精致的类型。人照一致,穿这一身长裙,看起来也非常有气质。 一开始我是在找电影看,这个时候冰冰就已经开始主动不老实了,捏捏我的脸,摸摸我的肚子。得知我的敏感点后就立马亲了上来。那我自然也不再忍着,手就开始往冰冰的衣服里面伸。 妹妹主动卸甲之后着实让我有些惊喜。她的胸是实打实的大C,饱满浑圆,手感上佳,虽然本人不是阅女无数,但是她的胸至少可以在我这里排前三了。 而且妹妹十分敏感,不停

1

31 Jul 2026, 08:58 UTC570 viewsread 10 August 2026
Video

#No 店铺:#曼秀雷敦 女仆:#秋秋 店铺资料: 类型:#甜美女大 价格:699/h 出击人:#贝雷塔 出击时间:2026.7 环境: s 人照相似度:人照8 罩杯:胸B,软 身材:正常 身高:165 体重:95 皮肤:白 平滑度:嫩滑 态度:A 聊天交流:不冷场 敏感处: 耳朵脖子胸 抽烟:无 纹身:无 唇钉舌钉:无 吻技:大蟒蛇 过程:炎炎夏日出击,见到秋秋热情的笑容,顿时扫去很多燥热。秋秋人照基本没区别,破冰非常自然。妹妹自然就靠在身边,脚搭在身上,边聊天边,主动摸我身上各处,女友感十足。聊了一会妹妹就自觉的亲上来,可以一直亲,非常配合。卸甲也很顺利,妹妹还掏出一双黑丝换上,非常有!视觉冲击力,一双美腿在身上游走。后半场妹妹也是全自动洗澡流,我也是躺着装死鱼,享受着秋秋无微不至的服务。值得一提的是妹妹的手法很好,很能找准点,然后还会配合需要的姿势,最后也是美美结束,温存了一会儿。总结秋秋态度很好,性格好,配合度高,聊天

31 Jul 2026, 08:09 UTC502 views1 reactionsread 10 August 2026
Video

店铺:#曼秀雷敦 女仆:#冰冰 类型:#御姐 #女友感 价格:12 出击人:古月方源 出击时间:2026.07 首次服役时间: 环境: S,高档小区,独卫独浴,环境T0 人照相似度:基本一致 罩杯:应该有c 身材:很匀称 恰到好处 身高:肯定170以上 体重: 皮肤:白 滑 嫩 态度:s 敏感处: 胸 豆 抽烟:应该有的 纹身:无 唇钉舌钉:无 吻技:小蟒蛇 🌱初见 群里撇见了新人上新,一众小美里面冰冰还是美的很突出,和客服询问了一下说也是情绪价值给的很高的选手,于是直接约定时间,见一见新来的顶美冰冰 🔥过程 停好车在客服帅哥的指引下在小区门口等,小区虽然比较偏,但是环境非常好,店里也是独立卫浴这一点很赞,个人比较喜欢腿和足,客服也贴心地询问要不要要让冰冰穿上黑丝进来,欣然答应后在房间里等了一会就看冰冰轻柔的敲门进来,完全是比想象的御姐更御姐的feel,我一米八的个子站在冰冰旁都显得差差不多,加上冰冰比较瘦,又

1

16 Jul 2026, 07:32 UTC883 views2 reactionsread 10 August 2026
Video

店铺:#曼秀雷敦 女仆:#甜茶 类型:#御姐 #女友感 价格:包天 出击人:大明举重冠军 出击时间:2026.06 首次服役时间:2026.3 环境: S,高档小区,独卫独浴,环境T0 人照相似度:人照11(真人更好看) 罩杯:B-- 身材:身材高挑,腿又细又长还特别直,腿控爱好者福音 身高:170 体重:80 皮肤:白度5,弹性5,平滑度5。S级别皮肤 态度:A 敏感处: 自行摸索 别有乐趣 抽烟:无 纹身:无 唇钉舌钉:无 吻技:小蟒蛇 🌱初见 之前在花间惊鸿一瞥甜茶,一直念念不忘,可惜只上了一周就退役了没约上,五月忽闻六月回归消息,遂提前约上包天,弥补往昔之憾。 🔥过程 提早到达约好的地点等候甜茶,差不多到了约好的时间,电话准时响起,“哈喽,我到咯你在哪里呀”电话里传来甜美软糯的声音,如同一冽清泉,将我包围,炽热的阳光再也奈何不得我分毫,告诉她我的位置,不一会抬起头伴随着一阵香风,映入我眼帘的是一袭长裙的

2

11 Jul 2026, 14:11 UTC892 views1 reactionsread 10 August 2026
Forwarded from @whointheworldamiPhoto

#No1561 店铺:#曼秀雷敦 女仆:#婉婉 店铺链接: t.me/Manxiuleidu 店铺资料: t.me/standingmanhz/1199 类型:#甜妹 价格:工兵450/h 出击人:#爱德华 出击时间:2026.7.7 首次服役时间:素人 环境: S 小区主卧带厕所,装修很精致 人照相似度:9分,模卡左下角视频无差 罩杯:胸B 身材:匀称 无缺陷 身高:165 体重:95 皮肤:白度4.5,弹性4.5,平滑度4.5。 态度:A,配合度高。 敏感处: 胸 纹身:无 唇钉舌钉:无 吻技:吻技小蟒蛇 🌱初见 初见婉婉,第一眼就让我完全的放心了,模卡里的视频跟真人几乎一致。婉婉有着19岁年龄天性的自然,主动靠在了我的手上,亲昵地在我手臂上蹭了蹭,让我忍不住心生怜爱感,人照一致也不由得让我对店铺产生不少的好感,说明店家是在意这一方面细节的,不会让顾客产生落差感。 🔥过程 婉婉平时有比较注意护肤,身上摸

1

10 Jul 2026, 08:37 UTC851 views1 reactionsread 10 August 2026
Forwarded from @whointheworldamiPhoto

#No1531 店铺:#曼秀雷敦 女仆:#秋秋 店铺链接: t.me/Manxiuleidu 店铺资料: t.me/standingmanhz/1199 类型:#女大 #皮肤好 价格:600/h 出击人:#玉蛟龙 出击时间:2026.7 环境: S,小区房,有一次性床单,大屏幕投影,可以淋浴,沐浴用品齐全,卫生间干净整洁。 人照相似度:人照8 罩杯:B 身材:正常身材,微瘦 身高:165 体重:90 皮肤:白度很白,弹性较弹,平滑度超滑,主打一个嫩滑 态度:A,尺度内很配合 聊天交流:话不多,需要提升话术,但是比较会说dirty talk 敏感处: 胸,腰腹,耳朵 抽烟:未知 纹身:无 唇钉舌钉:无 吻技:中蟒蛇,可以一直吻,吻技尚可 🌱初见 下了一天雨,正憋的难受,突然看到客服发的有新人女大,勾起了我的兴趣,正好此时雨停天晴,我果断行动。天气闷热,到店已经是满头大汗。客服看到我的洋相,告诉我可以去主卫冲个澡,卫生

1

10 Jul 2026, 08:36 UTC764 views2 reactionsread 10 August 2026
Forwarded from @whointheworldamiPhoto

#No1534 店铺:#曼秀雷敦 女仆:#婉婉 店铺链接: t.me/Manxiuleidu 店铺资料: t.me/standingmanhz/1199 类型:#先内向后狂野型 价格:工兵450/h 出击人:#znhy 出击时间:2026.07 环境: S,酒店式公寓,干净整洁,氛围温馨 人照相似度:人照9分,本人也很好看 罩杯:胸B,手感柔软,天然 身材:身形匀称,腰肢纤细,双腿笔直 身高:166 体重:95 皮肤:白度4,弹性5,平滑度4。皮肤白皙光滑,触感很好。 态度:配合度高,转入狂野状态后攻击性极强,服务意识好,洗澡时还会搞怪互动,结束后会温存。 聊天交流:起初两人都比较内向,交流略显生涩拘谨,属于慢热型;但熟络后极其主动,走之前一刻还会温馨聊天。 敏感处: 胸 抽烟:有,老板说后面会让她注意 纹身:无 唇钉舌钉:无 吻技:蟒蛇 🌱初见 刚进屋时有个小插曲,两个人因为没调对空调地方,导致屋里有点热,折腾调

2

8 Jul 2026, 16:40 UTC789 viewsread 10 August 2026

店铺:#曼秀雷敦 女仆:#婉婉 类型:#甜妹 价格:工兵450/h 出击人:#爱德华 出击时间:2026.7.7 首次服役时间:素人 环境: S 小区主卧带厕所,装修很精致 人照相似度:9分,模卡左下角视频无差 罩杯:胸B 身材:匀称 无缺陷 身高:165 体重:95 皮肤:白度4.5,弹性4.5,平滑度4.5。 态度:A,配合度高。 敏感处: 胸 纹身:无 唇钉舌钉:无 吻技:吻技小蟒蛇 评分:颜值8 尺度8 身材7.5 初见婉婉,第一眼就让我完全的放心了,模卡里的视频跟真人几乎一致。婉婉有着19岁年龄天性的自然,主动靠在了我的手上,亲昵地在我手臂上蹭了蹭,让我忍不住心生怜爱感,人照一致也不由得让我对店铺产生不少的好感,说明店家是在意这一方面细节的,不会让顾客产生落差感。 婉婉平时有比较注意护肤,身上摸着都是光光滑滑的,胸部饱满有弹性,浅亲了一会儿,动情时还会抱着你的头亲声呻吟,女友感十足。卸甲方面基本没什么阻力,独留一甲

7 Jul 2026, 07:28 UTC788 views0 reactionsread 10 August 2026
Video

#曼秀雷敦 #婉婉 环境:高档小区,投影大床,整体环境很顶 人照相似度:8.5。模卡应该拍得比较早,主图偏幼态,本人更接近左上和右图 本人颜值:9。青涩小美,巴掌脸,干净耐看,女友感很足 身材:8.5。B杯,小骨架但很有肉,166,90多斤,腰臀线条很突出 皮肤:弹性9,平滑度8.5。07女大嫩妹 态度:A+。女友感拉满,配合度高 过程: 来之前其实有点担心,婉婉的模卡拍得太幼态,怕本人是那种冷脸、不好聊的小妹。见到之后放心了,是很清爽的一枚年轻小美,巴掌脸,小骨架,166/95左右,该有肉的地方都有肉,深深的臀线下是修长的小腿。婉婉刚开始兼职不久,所以状态里有点青涩感,但这反而加分,不油、不端、不套路,互动时很自然。眼神、表情、回应都给得很足,女友感特别强。上来就是大蟒蛇管饱,然后开始亲胸。中间换成女上位,看着小脸,酥胸,软嫩的肚皮,坐在我身上,女友感太足了(此处就差一根皮筋)。第一次来女仆店,流程不太熟悉。亲了妹子的小脚,

30 Jun 2026, 06:25 UTC917 viewsread 10 August 2026
Video

#目录 #模板 模板A 返回频道导航 #No 店铺:#曼秀雷敦 女仆:#又又 店铺资料: 类型:#邻家妹妹 #女友系 价格:工兵450/h 出击人:#匿名 出击时间:2026.06 环境: S,酒店式公寓,干净整洁,氛围温馨 人照相似度:人照9分,本人更显清纯 罩杯:胸B,手感柔软,天然 身材:身形匀称,腰肢纤细,双腿笔直 身高:165 体重:88 皮肤:白度4,弹性5,平滑度4。皮肤白皙光滑,触感很好。 态度: 初见时带点天然的羞涩,但进入状态极快。在感受到反馈后极具爆发力,挑逗手段娴熟且不失少女感,全程全心投入,给人的恋爱陪伴感与情绪价值非常到位。 聊天交流: 前期沟通顺畅,性格非常软萌。从一开始略带拘谨的试探,到后来的黏人与主动,转换非常自然,属于典型的慢热但后劲十足的类型。 敏感处: 胸 抽烟:无 纹身:无 唇钉舌钉:无 吻技:中蟒蛇 ### 过程描述: 刚进屋坐下时,房间里的空气还弥漫着一丝微妙的尴尬,我们俩都有

Showing the 12 most recent of 16 posts we hold for @manxiuleiduncep. 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 — 569,667 of 1,480,688entries 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

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 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.

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

“曼秀雷敦测评群” (@manxiuleiduncep), 48 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/manxiuleiduncep.

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.