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Channel

🥇厦门高校女仆恋爱体验照片群

@room6818

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

11,694subscribers

+802 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-1003479620895
TypeChannel
Username@room6818
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live19 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 19 August 2026
On Telegramt.me/room6818

Growth

10,89211,69411,2938 August 2026 — 10,892 subscribers8 August 2026 — 10,952 subscribers9 August 2026 — 11,012 subscribers10 August 2026 — 11,046 subscribers11 August 2026 — 11,121 subscribers12 August 2026 — 11,210 subscribers13 August 2026 — 11,308 subscribers15 August 2026 — 11,478 subscribers16 August 2026 — 11,525 subscribers17 August 2026 — 11,574 subscribers18 August 2026 — 11,626 subscribers19 August 2026 — 11,694 subscribers8 August 202619 August 2026
12 measurements spanning 12 days, net +802. 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 10,772–11,814 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Aug 2026, 22:3411,694+68
18 Aug 2026, 20:3611,626+52
17 Aug 2026, 22:0411,574+49
16 Aug 2026, 21:3411,525+47
15 Aug 2026, 13:4611,478+170
13 Aug 2026, 23:4811,308+98
12 Aug 2026, 15:4411,210+89
11 Aug 2026, 15:0311,121+75
10 Aug 2026, 17:4711,046+34
9 Aug 2026, 19:3111,012+60
8 Aug 2026, 16:5410,952+60
8 Aug 2026, 02:0010,892first reading

Engagement

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

ERR · 30 days
8.76%
avg views ÷ 11,694 subscribers
Avg views / post
1,020
6 posts measured
Reaction rate
1.14%
reactions ÷ views · ER floor
Posts in window
6
of 6 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 16 August 2026
Posts held6 (2 August 202616 August 2026)
Views total6,147
Reactions total70
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Aug 2026, 22:01 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
51s
Average length
9s

Measured directly from 6 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

70 reactions across 6 posts, in 13 distinct kinds. The most used accounts for 24.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1724.3%
🔥1115.7%
👏912.9%
🎉811.4%
💯68.57%
🤩57.14%
👍45.71%
🥰45.71%
🤗22.86%
❤‍🔥11.43%
🐳11.43%
👌11.43%
💘11.43%

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 6 of the 6 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 70reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 2 August 2026 to 16 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

16 Aug 2026, 18:00 UTC451 views5 reactionsread 19 August 2026
Photo

杨杨(M属性,高颜值、天然立体五官)🉑92,🉑跳蛋 等级:高级助教 特点:高级脸,温柔,M属性,身材比例好 身材:164cm,体重48kg,B🐻 年龄:04年 学历:云南大专 性格特征:天生M属性(S客人必点) 主动与清纯度偏向:主动型,配合度高 纹身:有 整容:否 ⚠️店长真实评分(满分5分) 本人与照片差别及现实长相:4分 吻功:5分 皮肤状态:4分 身材比例:4分 服务质量:5分 生活习惯:4分 店长留言:杨杨现实长相属于邻家乖乖女孩。日常性格温柔动人,女朋友最佳性格。服务状态满分,这也是作为M属性的特征,她爱戴自己的客人,每一单都很用心在服务,态度很好,对人很有礼貌。希望兄弟们也要好好对她! 杨杨的出击报告: https://t.me/room686818/116 https://t.me/room686818/92 https://t.me/room686818/90

🔥21💘1💯1

10 Aug 2026, 11:23 UTC≈1,180 views8 reactionsread 19 August 2026
Photo

玥玥(女友感超级强) 等级:头牌级助教 主动与清纯度偏向:主动型 性格特征:外向 特点:皮肤好,女友感强,身材均衡 真实年龄:05年 身材:160cm,体重48kg,C➕🐻超级粉嫩 纹身:无 整容:无 爱好:赚钱、旅游 学历:省外医疗类大专 从业过:医美行业 ⚠️店长真实评分(满分5分) 本人与照片差别及现实长相:5分 吻功:5分 皮肤状态:5分 身材比例:5分 服务质量:5分 生活习惯:5分 店长留言:玥玥人照差别不大,长相和身材皮肤是优势。虽然照片看起来很网红风,但是还是小女孩的性格,兄弟们不要太有距离感。玥玥平时比较爱美爱打扮爱干净,相貌这一点是作为头牌的等级定义。 玥玥的出击报告: https://t.me/room686818/91 https://t.me/room686818/124 https://t.me/room686818/139 https://t.me/room686818/169

6🐳1👌1

7 Aug 2026, 12:28 UTC≈1,460 views25 reactionsread 19 August 2026
Photo

呆呆(短发女孩) 等级:高级助教 主动与清纯度偏向:主动型 性格特征:大大咧咧 特点:不冷场,身材好 真实年龄:07年 身材:165cm,体重43,B🐻 纹身:有 整容:无 ⚠️店长真实评分(满分5分) 本人与照片差别及现实长相:4分 吻功:5分 皮肤状态:5分 身材比例:5分 服务质量:4分 生活习惯:4分

7🎉6👏5🔥4🤩2🤗1

4 Aug 2026, 08:07 UTC≈1,350 views26 reactionsread 15 August 2026
Photo

菲菲(F杯超稀有)🉑92,🉑跳蛋 等级:高级助教 主动与清纯度偏向:主动型 性格特征:温柔开朗 特点:超级有料,服务质量高,可玩性高 真实年龄:04年 身材:170cm,体重55kg,天然F杯 纹身:有 整容:无 学历:省内大专 ⚠️店长真实评分(满分5分) 本人与照片差别及现实长相:4分 吻功:5分 皮肤状态:5分 身材比例:5分 服务质量:5分 生活习惯:4分 店长留言:超级稀有的F杯大將,可玩性可以任何想象,菲菲看起来可能会认为她纹身很社会很凶,其实是一个m性格女孩子,邻家乖乖女孩,并不会有任何距离感,上钟态度很友好,配合度杠杠的。直接预约!!!

💯5🔥5👏43🎉2👍2🤩2🥰2

3 Aug 2026, 08:47 UTC860 views4 reactionsread 10 August 2026
Photo

叮当(主播 高挑大长腿 完美身材)(92的看妹子意愿) 等级:高级助教 主动与清纯度偏向:清纯型 性格特征:温柔开朗,真实直接 特点:面条型身材,五官好看精致 真实年龄:08年 身材:170cm,体重49,C➕🐻超级粉嫩 纹身:无 整容:无 爱好:打瓦,喝酒(酒量不好),唱歌(五音不全) 从业:主播 ⚠️店长真实评分(满分5分) 本人与照片差别及现实长相:4分 吻功:5分 皮肤状态:5分 身材比例:5分 服务质量:4分 生活习惯:4分 店长留言:身材控的闭眼冲,套餐内容完成度高,增值服务需与她沟通。

👍2🤗1🥰1

2 Aug 2026, 09:16 UTC846 views2 reactionsread 10 August 2026
Photo

小欣(嗲嗲妹 满分身材 )🉑92 等级:头牌级助教 主动与清纯度偏向:主动型 性格特征:清纯温柔 特点:理想型身材,丰满度100%,声音超级好听 真实年龄:05年 身材:170cm,体重55kg,D➕🐻超级粉嫩 纹身:无 整容:无 爱好:发呆 学历:集美某大学 ⚠️店长真实评分(满分5分) 本人与照片差别及现实长相:5分 吻功:5分 皮肤状态:5分 身材比例:5分 服务质量:5分 生活习惯:5分 店长留言:小欣性格真的是里面最温柔的一个,没有见过她生气,生气也是嘟着小嘴。身材是人见人爱,前凸后翘,非常有料。满分女友!!排队吧兄弟们! 小欣的出击报告: https://t.me/room686818/198

🤩1🥰1

Showing the 6 most recent of 6 posts we hold for @room6818. 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 — 556,810 of 1,563,849entries 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 3 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 19 August 2026 — this entry's latest reading, not the date you are reading this.

“🥇厦门高校女仆恋爱体验照片群” (@room6818), 11,694 subscribers as measured 19 August 2026. Telegram Register, tgregister.com/channel/room6818.

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.