Telegram RegisterThe public register of Telegram
Telegram profile photo for 美熙的频道

Channel

美熙的频道

@mx5973

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

1,587subscribers

+26 since we began measuring on 19 August 2026

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

Register entry

Telegram ID-1003337582292
TypeChannel
Username@mx5973
CreatedBetween 1 November 2025 and 24 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live1 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/mx5973

Growth

1,5581,5871,572.519 August 2026 — 1,561 subscribers19 August 2026 — 1,561 subscribers19 August 2026 — 1,558 subscribers23 August 2026 — 1,562 subscribers26 August 2026 — 1,567 subscribers29 August 2026 — 1,582 subscribers1 September 2026 — 1,587 subscribers19 August 20261 September 2026
7 measurements spanning 14 days, net +26. 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 1,554–1,591 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 20:461,587+5
29 Aug 2026, 10:491,582+15
26 Aug 2026, 05:011,567+5
23 Aug 2026, 04:381,562+4
19 Aug 2026, 18:331,558-3
19 Aug 2026, 08:001,561no change
19 Aug 2026, 07:451,561first reading

Engagement

20 posts held, back to 24 November 2025the 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
23.4%
avg views ÷ 1,587 subscribers
Avg views / post
371
1 post measured
Reaction rate
0.27%
reactions ÷ views · ER floor
Posts in window
2
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 18 August 2026
Posts held20 (24 November 202518 August 2026)
Views total371
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Aug 2026, 08:00 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
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

72 reactions across 14 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
72100.0%

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 15 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 72 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 24 November 2025 to 18 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

22 Apr 2026, 10:38 UTC≈12,400 views19 reactionsread 19 August 2026

怡红院验证报告 🚗出击信息 【妹子花名】:#美熙 【联系方式】:@meixi993 【验证留名】:周三之行 【验证时间】:4月底 【所在位置】:高新区 【修车水费】:5P 9PP 【是否代聊】:代聊 👙软硬件数据 【标签类型】:#高新区 #BBW 【身高身材】:裸高170出头,体重75kg 【妹子年龄】:27左右 【阴户类型】:蝴蝶,刮了毛 【凶器罩杯】:C杯 【环境卫生】:干净整洁 【服务项目】:三件套,舔咪咪,🐍 【机车行为】:无 【优点缺点】:适合有个别xp的狼友,老师属于bbw类型,不喜欢的勿扰。 💯综合评价 【综合评价】:好评 【人照评分】:人照去美颜瘦脸8分像 【服务评分】:8分 【身材评分】:bbw里面属于9分 【态度评分】:9分 【环境评分】:9分 【个人发挥】:代回复消息及时,准时到达,进门看到的是黑色连衣裙的老师,抽根烟简单聊了一会,洗澡,擦干,A面服务,舔咪咪,🐍,口,口无齿感,舌头还是灵活,随后

19

21 Jan 2026, 06:44 UTC≈10,700 views5 reactionsread 19 August 2026

和代哥约好时间留门,一开门,很有异域风情的老师,颜值挺不错的,热情的迎我进门,稍作休息后一起进浴室洗澡,脱了衣服,老师的屁股特别大,真是看得我热血澎湃,就喜欢屁股大的。洗澡结束后,老师开始服务,基本就是三件套,不过可以慢慢调教。 老师从胸口开始一路向下舔,到了二弟一口含住,然后不断吞吐,没有什么齿感,口的还是挺舒服的。我的手摸着老师的BB,挺湿润的,感觉差不多了,带上套子开干。让老师转身女上位,刚插进去,8特别的紧,一边看着老师的大肥臀,一边拍打着老师的大屁股,真是爽歪歪。 过了一会儿,老师累了换我来,先是传教士插入进去,一边揉着老师的大奶,一边插着小穴,爽歪歪啊。后面换姿势,让老师趴下,开始最喜欢的后入式,一边撞击着老师的肥臀,一边拍打着大屁股。这个视觉冲击力和爱爱感受真的是太爽了。过了一会儿来感觉了,抓紧大屁股一顿冲刺,成功出水。 老师批紧水多,BBW身材,屁股巨大,后入一绝,适合后入打桩机,贝塔福音,5p的价格对于贝塔爱好

5

25 Dec 2025, 17:59 UTC≈11,400 views4 reactionsread 19 August 2026
Photo

美好的时间总是那么短暂❤️

4

22 Dec 2025, 09:37 UTC≈10,700 views5 reactionsread 19 August 2026

老师热度很高。朋友推荐看到以前的报告,心里一直痒痒的,可惜之前时间总对不上。今天终于抽空和老师约好,她一步一步指导我上楼,非常谨慎。一进门就看到一对巨乳在眼前晃荡,立刻来了兴致。脱衣洗澡,打上沐浴露,老师就用巨臀摩擦我的肉棒,感觉好爽,马上硬得像铁棒。老师转身服务了很久,技术非常好,差点被榨出来,赶紧示意洗干净去房间。之后老师开始服务,巨乳和舌尖在身上游走,时而酥麻,时而深顶,那感觉别提多爽了。接着我漱口舔老师的湿穴,使出浑身解数,把AV里看到的技巧全用上,老师一直骚叫说被舔高潮了,心里十分满足。戴套后入,完美的屁股就在肉棒前,忍不住深入,快速抽搐,每次到底,老师使出了夹功,差点出货,赶紧换成传教式。看着老师的骚穴被肉棒抽插,她抓着床单的样子,让我无比满足。奈何今天状态实在太好,很快结束了,后面还会再去的。

5

19 Dec 2025, 14:01 UTC≈9,980 views6 reactionsread 19 August 2026

【成都医科大学认证车库】 花名: #美熙 车牌: @meixi993 车费: #5/9 位置: #心岛 标签: #武侯区 #少妇 #代聊 #坦克 #异域风 #bbw 注: 老师身高170,年龄25,体重140,人照8成,真人耐看,新疆人,异域风,颜值可以,性格温柔体贴,普通话好。身材很丰满,胸c,脸和上半身正常,肉都长在屁股大腿了,真的是很夸张的大屁股。皮肤颜色状态一般。三点正常颜色。下面竟然很紧,离谱,后入臀浪很有冲击感。人工白虎,蝴蝶。陪洗,舔胸,🐍,口。爱爱反馈强烈,适合开坦克的贝塔。 体验报告汇总 :@chengduainila 上牌或提交报告联系 : @lyihstzw 双向机器人: @Yike558_bot 注:好评报告五篇上已验红牌榜差评过多下榜反馈请直接联系管理员 @Yike558_bot 成都医科大学聊天群:@chengdu338 #成都电报 #成都楼凤 #成都修车

6

Showing the 12 most recent of 20 posts we hold for @mx5973. 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

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

“美熙的频道” (@mx5973), 1,587 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/mx5973.

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.