Telegram RegisterThe public register of Telegram

Channel

惠州会所总榜❤️‍🔥

@LuoTian8989

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

29,938subscribers

+3,980 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002362022683
TypeChannel
Username@LuoTian8989
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/LuoTian8989

Growth

25,95829,93827,9488 August 2026 — 25,958 subscribers8 August 2026 — 26,012 subscribers9 August 2026 — 26,229 subscribers10 August 2026 — 29,270 subscribers11 August 2026 — 29,389 subscribers12 August 2026 — 29,518 subscribers14 August 2026 — 29,728 subscribers15 August 2026 — 29,938 subscribers8 August 202615 August 2026
8 measurements spanning 7 days, net +3,980. 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 25,361–30,535 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 16:1529,938+210
14 Aug 2026, 02:1529,728+210
12 Aug 2026, 17:1629,518+129
11 Aug 2026, 19:5229,389+119
10 Aug 2026, 17:3729,270+3,041
9 Aug 2026, 14:2126,229+217
8 Aug 2026, 11:4126,012+54
8 Aug 2026, 06:3225,958first reading

Engagement

12 posts held, back to 24 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 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.15%
avg views ÷ 29,938 subscribers
Avg views / post
943
12 posts measured
Reaction rate
0.104%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 8 of 12 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 8 August 2026
Posts held12 (24 July 20268 August 2026)
Views total11,320
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 08:18 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
1m 25s
Average length
12s

Measured directly from 7 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

9 reactions across 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9100.0%

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 8 of the 12 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 24 July 2026 to 8 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

8 Aug 2026, 15:40 UTC328 viewsread 10 August 2026
Photo

#惠城 麦地店 沐夕SPA 红牌技师33号预约直通车 频道: https://t.me/Lulu666112

8 Aug 2026, 13:19 UTC328 viewsread 10 August 2026
Video

[#惠州会所 #惠城休闲专家顶级团队 ] 😀😀😀😀😀😀😀😀 😀会所位置:#惠城麦地南路 😀工号:99号 📱📱📱清纯零零后,身材苗条,筷子腿,貌美如花,服务好,放得开 📱服务内容: 特色项目 收费1: 👍👍👍元(艾草牛奶泡澡另加👍👍元),70分钟 服务类型:精品顶级94 时间内可出水2次(2次需提前说明) 可选 ✋ 🐻 🦵 🦶 四推出水方式 课程内容包含: 小姐姐帮忙洗澡,搓澡,全身按摩,指尖调情,舌尖调情,柔情似水,高山流水,花式毒龙,刮痧过水,波推,全身调情,舌尖环游全身,舔蛋吸蛋,猴子偷桃,上下可摸,兔子夹钢筋喷涌而出 。 热门项目 收费1: 👍👍👍(艾草牛奶泡澡加👍👍)70分钟 课程内容包含: 美女帮冲凉搓澡,指尖调情,舌尖调情,真胸调情,刮痧过水,高山流水,果冻毒龙,丝足诱惑可撕,胸推全身,舔蛋亲奶,猴子偷桃,上下可摸,十指柔情喷涌而出 ⏰99号在岗时间:晚上七点半至凌晨五点

6 Aug 2026, 15:22 UTC555 views1 reactionsread 10 August 2026
Video

#惠州会所 #惠城颜值标杆 #麦地 #河南岸 #桥东 全惠城区最高质量,环境最好,我们不断更新技师质量,各种大奶,萝莉,御姐,少妇,黑丝大长腿,个别技师可提供制服诱惑,制服选择,黑丝艳舞。我们不做低价引流,只做高端品质,主打回头客。 低品质,垃圾环境,再以夸张宣传字眼 假图,拉高价格再给优惠,用优惠吸引客人眼球的套路已经老掉牙了,出来玩的大哥不缺那仨瓜俩枣,玩的开心才最重要,所以本团队坚持走(真诚,靠谱,品质)的经营理念,让每一位大哥都满意而归。 感恩每一位老客户坚定不移的支持 捧场,也希望新手擦亮眼睛,少走弯路,感恩所遇见的每一位新老顾客,我现在真诚,您选择信任。 注:以上视频为沐夕店33号技师本人,本团队已邀请专业摄影师,不定时拍摄店铺环境,技师照片上传本频道。

1

4 Aug 2026, 13:15 UTC892 views1 reactionsread 10 August 2026
Video

[#惠州会所 #惠城休闲娱乐顶级团队 ] 😀😀😀😀😀😀😀😀😀 🥰会所位置:#惠城麦地南路 🥰工号:33号 📱📱📱极品御姐型 苗条大胸 肤白貌美 笔直大长腿 可接受换装要求,性格活跃 最擅长提供情绪价值 📱服务内容: 特色项目 收费1: 👍👍👍元(艾草牛奶泡澡另加👍👍元),70分钟 服务类型:精品顶级94 时间内可出水2次(2次需提前说明) 可选 ✋ 🐻 🦵 🦶 四推出水方式 课程内容包含: 小姐姐帮忙洗澡,黑丝艳舞,与身体激情碰撞。十指弹琴,柔情似水,高山流水,花式毒龙,刮痧过水,波推,全身调情,舌尖环游全身,舔蛋吸蛋,猴子偷桃,上下可摸,兔子夹钢筋喷涌而出 。 热门项目 收费1: 👍👍👍(艾草牛奶泡澡加👍👍)70分钟 课程内容包含: 美女帮冲凉搓澡,十指弹琴,真胸调情,舌尖调情,刮痧过水,高山流水,果冻毒龙,丝足诱惑可撕,胸推全身,舔蛋亲奶,猴子偷桃,上下可摸, 33号在岗时间:晚上七点半至凌晨五

1

2 Aug 2026, 13:43 UTC947 viewsread 10 August 2026
Photo

📱📱📱📱 [#惠州会所 #麦地店 #沐夕SPA ] 📱📱📱极品御姐,明星脸,颜值高 身材好 🥰会所位置:惠城麦地 沐夕SPA 🥰工号:555号 🥰身高:167 🥰体重104 🥰胸:B+ 🥰在岗时间:晚上七点半至凌晨五点 🛋服务内容: 特色项目 收费1: 👍👍👍元(艾草牛奶泡澡另加👍👍元),70分钟 服务类型:精品顶级94 时间内可出水2次(2次需提前说明) 可选 ✋ 🐻 🦵 🦶 四推出水方式 课程内容包含: 小姐姐帮忙洗澡,浴缸泡澡,十指弹琴,比翼双飞,柔情似水,高山流水,花式毒龙,刮痧过水,波推,全身调情,舌尖环游全身,舔蛋吸蛋,猴子偷桃,上下可摸,与身体激情碰撞。 热门项目 收费1: 👍👍👍(艾草牛奶泡澡加👍👍)70分钟 课程内容包含: 美女帮冲凉搓澡,十指弹琴,真胸调情,高山流水,果冻毒龙,丝足诱惑可撕,胸推全身,舔蛋亲奶,猴子偷桃,上下可摸, 更多沐夕SPA技师资料: @muxispa 😲惠城品质会

1 Aug 2026, 08:50 UTC957 views1 reactionsread 10 August 2026
Photo

😀😀😀😀😀😀😀😀 😀😀😀😀 #桥东店 #888号 服务内容 92/94 优质人气技师 颜值高 技术好 会抓龙筋 放得开 身高:162 体重:106 胸:C 在岗时间:下午二点至凌晨二点

1

30 Jul 2026, 12:39 UTC≈1,350 views1 reactionsread 10 August 2026
Video

[#惠州会所 #麦地店 #沐夕SPA ] 📱📱极品零零后 模特身材 颜值高 📱位置 惠城麦地 沐夕SPA 📱工号:696号 📱身高:162 📱体重:87 📱胸:B 📱在岗时间:晚上七点半至凌晨五点 🛋服务内容: 特色项目 收费1: 👍👍👍元(艾草牛奶泡澡另加👍👍元),70分钟 服务类型:精品顶级94 时间内可出水2次(2次需提前说明) 可选 ✋ 🐻 🦵 🦶 四推出水方式 课程内容包含: 小姐姐帮忙洗澡,浴缸泡澡,十指弹琴,比翼双飞,柔情似水,高山流水,花式毒龙,刮痧过水,波推,全身调情,舌尖环游全身,舔蛋吸蛋,猴子偷桃,上下可摸,与身体激情碰撞。 热门项目 收费1: 👍👍👍(艾草牛奶泡澡加👍👍)70分钟 课程内容包含: 美女帮冲凉搓澡,十指弹琴,真胸调情,高山流水,果冻毒龙,丝足诱惑可撕,胸推全身,舔蛋亲奶,猴子偷桃,上下可摸, 😲到店先了解再体验,满意后再消费,无需预付定金。房间整洁舒适,停车

1

29 Jul 2026, 15:29 UTC≈1,300 views1 reactionsread 10 August 2026
Photo

😀😀😀😀 [#惠州会所 #麦地店 沐夕SPA ] 📱📱📱新到极品大胸少妇 大长腿 模特身材,皮肤白嫩 肤白貌美 预约请联系: @Laiailanlan 🔥位置 惠城麦地 沐夕SPA 🔥工号:33号 🔥身高:170 🔥体重:96 🔥胸: C 🔥在岗时间:晚上七点半至凌晨五点 📱服务内容: 特色项目 收费1: 👍👍👍元(艾草牛奶泡澡另加👍👍元),70分钟 服务类型:精品顶级94 时间内可出水2次(2次需提前说明) 可选 ✋ 🐻 🦵 🦶 四推出水方式 课程内容包含: 小姐姐帮忙洗澡,浴缸泡澡,十指弹琴,比翼双飞,柔情似水,高山流水,花式毒龙,刮痧过水,波推,全身调情,舌尖环游全身,舔蛋吸蛋,猴子偷桃,上下可摸,与身体激情碰撞。 热门项目 收费1: 👍👍👍(艾草牛奶泡澡加👍👍)70分钟 课程内容包含: 美女帮冲凉搓澡,十指弹琴,真胸调情,高山流水,果冻毒龙,丝足诱惑可撕,胸推全身,舔蛋亲奶,猴子偷桃,上

1

29 Jul 2026, 13:39 UTC963 views2 reactionsread 10 August 2026
Photo

#惠州会所 #沐夕SPA 现场实拍图 惠州顶尖会所 惠城高端实体会所 📱惠城高端连锁店,惠城本土老牌会所,信誉第一,价格透明,绝无隐形消费。

2

27 Jul 2026, 14:19 UTC≈1,180 views1 reactionsread 10 August 2026
Video

[#惠州会所 #惠城星级会所 #麦地沐夕SPA] 工号:555 #极品御姐 #肤白貌美 📱会所位置:惠城麦地南路 📱服务内容: 特色项目 收费1: 👍👍👍元(艾草牛奶泡澡另加👍👍元),70分钟 服务类型:精品顶级94 时间内可出水2次(2次需提前说明) 可选 ✋ 🐻 🦵 🦶 四推出水方式 课程内容包含: 小姐姐帮忙洗澡,浴缸泡澡,十指弹琴,比翼双飞,柔情似水,高山流水,花式毒龙,刮痧过水,波推,全身调情,舌尖环游全身,舔蛋吸蛋,猴子偷桃,上下可摸,与身体激情碰撞。 热门项目 收费1: 👍👍👍(艾草牛奶泡澡加👍👍)70分钟 课程内容包含: 美女帮冲凉搓澡,十指弹琴,真胸调情,高山流水,果冻毒龙,丝足诱惑可撕,胸推全身,舔蛋亲奶,猴子偷桃,上下可摸, 555号在岗时间:晚上七点半至凌晨五点 🪞玩家真实评价: https://t.me/langtian888999/487 【出击感受】: 很不错的一家店

1

24 Jul 2026, 11:43 UTC≈1,470 views1 reactionsread 10 August 2026
Photo

#惠州会所 #汝梦SPA 惠州顶尖会所 惠城标杆会所 📱五星级环境,技师精挑细选,零零后嫩妹 大长腿 极品御姐 清纯小妹 应有尽有 。 没有谁能永远停留在青春,但每天都有新的年轻妹妹在等你。我负责用心安排,你负责放松享受。环境舒适,服务贴心,小姐姐温柔热情,来 过的朋友都赞不绝口。

1

Showing the 12 most recent of 12 posts we hold for @LuoTian8989. 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.

Posts edited after publishing

@LuoTian8989 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
9 August 2026
Most recent edit
9 August 2026

Citation-graph rank

Citation-graph rank — 35,825 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 6 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“惠州会所总榜❤️‍🔥” (@LuoTian8989), 29,938 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/LuoTian8989.

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.