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Channel

莞式服务🫦丹丹

@dd1732288

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

50subscribers

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

Register entry

Telegram ID-1004355055326
TypeChannel
Username@dd1732288
Description联系方式 @sx22883355bot 双向联系@sx22883355bot
CreatedBetween 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 September 2026
Last confirmed live19 September 2026
Measurements held1
On Telegramt.me/dd1732288

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 00:2250first reading

Engagement

17 posts held, back to 14 September 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
439.5%
avg views ÷ 50 subscribers
Avg views / post
220
17 posts measured
Reaction rate
0.36%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 17 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 18 September 2026
Posts held17 (14 September 202618 September 2026)
Views total3,736
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Sept 2026, 00:22 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
9
Videos
8
Links
2

Lifetime counters from Telegram’s own channel header, read 19 September 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
45s
Average length
9s

Measured directly from 5 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

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 3 of the 17 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 14 September 2026 to 18 September 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

18 Sept 2026, 17:13 UTC35 viewsread 19 September 2026
Forwarded from @huisbaogb1Photo

【时间】:2026-09-18 【老师】:丹丹 【留名】:匿名 【评价】:👍 好评 【人照】:7 【颜值】:8 【身材】:9 【服务】:10 【态度】:8 【环境】:6 【综合】:8 【过程】:进门乌漆嘛黑,只开着猪肉灯,于是叫她开灯,老师本人比照片好看多了,身材很好,老师穿着齐逼包臀裙,事业线很深,奶子很大,瘦底大胸。交了课费进浴室洗澡。老师进来调水温帮洗,穿着黑丝裤袜,我不太喜欢,做服务的时候叫她脱了,洗的非常仔细,洗完躺床上,老师换了另一套情趣短裙,。B面胸推起手,服务细致,换A面冰火,跳跳糖没啥感觉,69对着丹丹老师的🦋逼一顿猛舔,毛很多,敏感水多舔了几下就湿了,,老师口技很好,差点把我秒了,赶紧戴套开干,先女上桩我,桩了几分钟翻身传教士,看着老师的大奈奈一顿摇晃,下面水也开始流了。想尝试后入的,还是没忍住,日了没几下就被秒了。 推荐程度:环境分给得低是因为猪肉灯的原因,课室环境不差,而老师本人比照片好看

17 Sept 2026, 10:15 UTC178 viewsread 19 September 2026

【出击人】:匿名 【老师花名】:# 丹丹 【课室位置】:#大亚湾 【上课费用】:500p(竞拍-200) 【出击时间】:9.17 【人照几分】:9 【身高身材】:9 【沟通态度】:态度好,服务多 【项目细节】 :课表上都有 【是否超时】:10 【卫生环境】:干净,整洁 【自由评论】:老师完全长在我审美上,十分太多,给九分嫌少。老师底子极好,恰到好处。皮肤光洁透亮,胸部丰盈软润,手感绝佳。腰臀比例称完美。唇形精致,饱满欲滴,舌感轻柔,若有似无。洗澡是一同洗的,然后背部按摩,全身舔,再就是正面服务,舌头的轻柔感很符合本人的样子。会所出身的老师服务相当好。体重很合适,女上姿势更是非常享受。 500价格真是服务天花板了,强推 联系方式:@dd22883353

16 Sept 2026, 09:38 UTC220 viewsread 19 September 2026
Forwarded from @huisbaogb1Photo

【时间】:2026-09-16 【老师】:丹丹 【留名】:王鹤棣 (吃饱喝足去上课) 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】:我知道各位长文案没时间看 长话短说 这是一个满分的东莞服务老师 一开始标着服务老师我还以为颜值可能不咋滴冲着服务去的 然后去到之后卧槽颜值也看着很舒服 其次一双大奶大而不坨 身材也到位还有肉的地方都有 制服丝袜说一声就行 洗澡就开始服务 这是我见过洗澡最认真的老师 从脖子洗到脚 干干净净 水中的口不得不说太有经验了 然后开始ab面服务 特别仔细认真 口活真的一流冷热交替还有跳跳糖 这是一个很全能的老师 我会无限返 500这个价太实惠了

Showing the 12 most recent of 17 posts we hold for @dd1732288. 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.

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

“莞式服务🫦丹丹” (@dd1732288), 50 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/dd1732288.

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.