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Channel

曼曼的朋友圈

@maoman999

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

778subscribers

+7 since we began measuring on 31 August 2026

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

Register entry

Telegram ID-1003869808899
TypeChannel
Username@maoman999
Created30 May 2026measured — dated from the channel’s first post
First recorded31 August 2026
Last confirmed live1 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/maoman999

Growth

771778774.531 Aug 2026, 19:00 — 771 subscribers31 Aug 2026, 19:15 — 771 subscribers1 Sept 2026, 17:26 — 778 subscribers31 Aug 2026, 19:001 Sept 2026, 17:26
3 measurements taken within a single day, net +7. 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 770–779 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 17:26778+7
31 Aug 2026, 19:15771no change
31 Aug 2026, 19:00771first reading

Engagement

16 posts held, back to 30 May 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
51.3%
avg views ÷ 778 subscribers
Avg views / post
399
7 posts measured
Reaction rate
0.567%
reactions ÷ views · ER floor
Posts in window
7
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 7 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 31 August 2026
Posts held16 (30 May 202631 August 2026)
Views total2,794
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Aug 2026, 19:15 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
30s
Average length
8s

Measured directly from 4 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

57 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 87.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5087.7%
🤮47.02%
🥰23.51%
😭11.75%

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 10 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 57 reactions 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 30 May 2026 to 31 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

31 Aug 2026, 10:35 UTC193 viewsread 31 August 2026
Photo

147859 【出击时间】:8.11 【老师姓名】:曼曼 【联系方式】:@nbvggjx 【评价人】:超级白嫖牛 【推荐指数】: ⭐⭐⭐⭐⭐ 【人照评分】: 9 【身材评分】: 9 【服务评分】: 10 【课室位置】: 万达 【修车茶费】: 5-1 【服务过程】: 二刷曼曼了,服务依旧那么好 这次约的头课 进门就热情的招呼 先聊会天 直接开🐍 蛇了一会 问我抽烟吗? 定睛一看 居然是我昨天跟拉菲哥要的荷花 拉菲哥还没去 她居然默默关注着 偷偷买了荷花 太好了吧 抽我烟 继续🐍 之后才去洗澡 自己也洗的干干净净 之后转战床上 又是一顿蛇 对我这🐍党太友好了 服务过程就不多描述了 值得再刷 【评价时间】:2026-08-11

31 Aug 2026, 09:55 UTC193 viewsread 31 August 2026
Forwarded from @xmhhz1Photo

142599 【出击时间】:82 【老师姓名】:曼曼 【联系方式】:@nbvggjx 【评价人】:拉菲 【推荐指数】: ⭐⭐⭐⭐⭐ 【人照评分】: 10 【身材评分】: 10 【服务评分】: 10 【课室位置】: 湖里 【修车茶费】: 1000p p 【服务过程】: 云中谁寄锦书来?曼曼回时,月满c楼! 上一个表哥超时,害我在楼下喂了半个小时的蚊子。哈哈哈,不过马上就要见到曼曼了,这都不重要 敲门,就听见小碎步咔哒咔哒的声音,哈哈,原来你也急着见我 门开了,一张清秀的脸庞探出来,两只眼睛笑的像弯弯的月牙 进门,坐好,把礼物一件件拿出来,哇,拉菲哥哥,这个打火机很漂亮,好喜欢, 嗯嗯 我都没钱买烟了,我就知道拉菲哥哥会给我带 嗯嗯 哇、这个口红和香水都是圣罗兰啊,这要几千块吧,555,我都没用过这么贵的东西,谢谢拉菲哥哥,我都没收到过这么贵的礼物 宝宝喜欢就好,我一个朋友帮我买的,嘿嘿,宝宝喜欢我以后经常送你 拉菲哥哥怎么对我这

31 Aug 2026, 09:55 UTC172 viewsread 31 August 2026
Forwarded from @xmhhz1

【出击时间】:8.6 【老师姓名】:曼曼 【联系方式】:@nbvggjx 【评价人】:拉菲 【推荐指数】: ⭐⭐⭐⭐⭐ 【人照评分】: 10 【身材评分】: 10 【服务评分】: 10 【课室位置】: 湖里 【修车茶费】: 1000p p 【服务过程】: 月上柳梢天,人约黄昏后 加班累到吐血,不过曼曼说好想我,我也好想曼曼,下了班拖着疲惫的身体跑到曼曼那里充电 拉菲哥哥,闻闻我今天香不香, 好香, 知道为什么吗 为什么 因为我喷了拉菲哥哥送我的圣罗兰香水呀 她们都说拉菲哥哥送的香水好闻,555,都抢我香水用,还说拉菲哥哥的古田也好抽,打火机也好玩,都给我玩没气了 哈哈哈,带来了吗?我带回去给你充气,下次给你带来, 没有,我刚跑回家专门喷的香水,急急忙忙的忘了 好,没事,下次 嗯嗯,拉菲哥哥,今天我要榨干你,不然你到处乱跑去找别的老师, 哈哈,你怎么知道的 哼,我有大内密探,你的一举一动我都知道,你最好给我老实点 洗澡,上床,让

31 Aug 2026, 09:55 UTC195 views1 reactionsread 31 August 2026
Forwarded from @xmhhz1

【出击时间】:816 【老师姓名】:曼曼 【联系方式】:@nbvggjx 【评价人】:拉菲 【推荐指数】: ⭐⭐⭐⭐⭐ 【人照评分】: 10 【身材评分】: 10 【服务评分】: 10 【课室位置】: 湖里 【修车茶费】: 1000p p 【服务过程】: 满地落红花似雨,千山叠翠柳含烟 春风不解离人意,乱送残香到旧门。 好几天没来给曼曼汇报思想了,再不来要被小屁孩,对方忙拐跑了 拉菲哥哥,今天的口红好看吗? 好看,是我送你的那个? 对啊,好喜欢这个颜色,不喜欢那种大红的 嗯嗯,好看,一看就很高级 吃拿破仑酥,抽烟,聊天 555,我恨超级月,昨天居然带曼曼去吃火锅,曼曼都没和我一起吃过饭 洗澡,上床,办正事 结速了,我躺在曼曼怀里听曼曼给我讲故事 拉菲哥哥,你知道吗,我小时候很叛逆的 哈哈哈,细说,怎么叛逆的 吧啦吧啦, 好想看看那个时候的你 宝宝,过几天我要去cc培训了,可能要去半个月,回来可能要九月初了 好的,拉菲哥哥,我也要

1

19 Aug 2026, 17:07 UTC≈1,180 views8 reactionsread 31 August 2026
Video

有人觉得浪费 有人为了你开心

7🥰1

9 Aug 2026, 08:09 UTC≈1,360 views1 reactionsread 31 August 2026

厦门茶馆专属报告模板 @lovexiamen 🏷基础信息 【老师花名】:曼曼 【所在地区】:湖里区 【验证表哥】:匿名 【验证日期】:2026-08-09 【榜单来源】:茶艺榜 @xiamenchayi 💯综合评价 【人照评分】:10 【颜值评分】:10 【服务评分】:10 【环境评分】:10 评分标准:5及以下差, 6分为良,7分为精,8分为优,9分为佳,10分为绝 👙软硬配置 【熊器尺寸】:c 【紧度湿度】:又紧又湿 【优点缺点】:都是优点 💋自由发挥 【过程描述】:进门见一嫩妹,面容清秀化淡妆。年轻娇小,小只马身材,腰细腿长,皮肤细腻白嫩,性格很乖。胸部c杯。 等老师抽完烟后,共浴。上床,先温柔亲吻,再低头舔舐,她腰肢发软轻吟。湿透后进入,由浅入深,她咬唇迎合,紧致温热,乖乖承受,眼神湿润。做完,慢慢休息,卸去疲惫。 厦门茶馆管理组 @xiamenchabot

1

8 Aug 2026, 13:08 UTC≈1,250 views2 reactionsread 31 August 2026

【出击时间】:8·8 【老师姓名】:曼曼 【联系方式】:@nbvggjx 【评价人】:刺猬 【推荐指数】: ⭐⭐⭐⭐⭐ 【人照评分】: 8 【身材评分】: 7 【服务评分】: 10 【课室位置】: 【修车茶费】: 5 【服务过程】: 最大的感受就是女友感很强。爱笑,可以随意🐍,姿势配合,结束后可以躺着聊天,做的时候会抚摸你。手脚凉凉的,夏天很解暑。 【评价时间】:2026-08-08

2

4 Aug 2026, 13:37 UTC≈1,680 views7 reactionsread 31 August 2026

142599 【出击时间】:8.2 【老师姓名】:曼曼 【联系方式】:@nbvggjx 【评价人】:霸霸 【推荐指数】: ⭐⭐⭐⭐⭐ 【人照评分】: 9 【身材评分】: 9 【服务评分】: 9 【课室位置】: 湖里 【修车茶费】: 500p 【服务过程】:时隔一个月再次见到曼曼 依然笑脸相迎。也比之前好看许多 进门就拉着我手坐到沙发上 顺势人趴在我身上说好久没见呀 又瘦了许多 我说天天想着你你打飞机 打瘦的哈哈 沙发上舌吻许久 想起了洗澡于是互相脱衣服 拔掉曼曼的一次性内裤 发现已有些许水渍 头课就是好啊嫩妹轻轻挑拨就来感觉了 浴室出来到床上 曼从我的嘴巴脖子亲到下面,瞬间被一股温热包裹住很爽 口活也是没有退步 摸着曼曼的奶 看着它吞吐的样子 鸡鸡又硬了一圈叫她戴上套 女上起手 夹的我有点疼但又很舒服 变得也会摇了 没摇一下都能感觉到龟头插到宫心里了,就是体力不太够 不然真想让她给我摇到结束。换我在上面 边🐍边干 曼曼的交缠

7

Showing the 12 most recent of 16 posts we hold for @maoman999. 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.

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.

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 1 September 2026 — this entry's latest reading, not the date you are reading this.

“曼曼的朋友圈” (@maoman999), 778 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/maoman999.

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.