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深圳會所技師報告

@shenzhenreport

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

10,358subscribers

+137 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001964749673
TypeChannel
Username@shenzhenreport
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live21 August 2026
Measurements held15
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/shenzhenreport

Growth

10,22110,35810,289.57 August 2026 — 10,221 subscribers7 August 2026 — 10,221 subscribers8 August 2026 — 10,225 subscribers9 August 2026 — 10,238 subscribers10 August 2026 — 10,250 subscribers11 August 2026 — 10,267 subscribers12 August 2026 — 10,278 subscribers13 August 2026 — 10,282 subscribers15 August 2026 — 10,296 subscribers16 August 2026 — 10,306 subscribers17 August 2026 — 10,312 subscribers18 August 2026 — 10,320 subscribers19 August 2026 — 10,326 subscribers20 August 2026 — 10,346 subscribers21 August 2026 — 10,358 subscribers7 August 202621 August 2026
15 measurements spanning 14 days, net +137. 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 10,200–10,379 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 19:2710,358+12
20 Aug 2026, 17:2210,346+20
19 Aug 2026, 18:0810,326+6
18 Aug 2026, 21:2310,320+8
17 Aug 2026, 19:3810,312+6
16 Aug 2026, 17:2610,306+10
15 Aug 2026, 00:1610,296+14
13 Aug 2026, 15:5710,282+4
12 Aug 2026, 17:1610,278+11
11 Aug 2026, 14:2610,267+17
10 Aug 2026, 14:2310,250+12
9 Aug 2026, 10:5110,238+13
8 Aug 2026, 11:0610,225+4
7 Aug 2026, 19:3110,221no change
7 Aug 2026, 19:1910,221first reading

Engagement

24 posts held, back to 22 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 23 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
40.4%
avg views ÷ 10,358 subscribers
Avg views / post
4,180
10 posts measured
Reaction rate
0.289%
reactions ÷ views · ER floor
Posts in window
10
of 24 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 15 August 2026
Posts held24 (22 May 202615 August 2026)
Views total41,810
Reactions total121
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Aug 2026, 03:30 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.

Reaction mix

357 reactions across 24 posts, in 4 distinct kinds. The most used accounts for 54.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
19554.6%
💩16044.8%
👍10.28%
👎10.28%

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 24 of the 24 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 357reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 22 May 2026 to 15 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

15 Aug 2026, 17:51 UTC≈2,300 views16 reactionsread 21 August 2026
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@AceLiu_95 報告 #港都 9999 雪儿高颜值,人跟照片一样美,无照骗,是她本人照,见面第一眼就被她容貌吸引住了,她的身材特别好S型前凸后翘,翘臀又是大胸,胸的手感很棒,不下垂,抓着肉肉嘚,得劲,感觉有 D 杯,她穿的情趣换装特漂亮,就像七仙女下凡一样美,服务项目都有,668是达标了,小嘴嚼着口香糖,甜甜的口水味好有感觉,全身吸皮刮痧嘴上功夫了得,我的小弟弟龟头棍棍和蛋蛋,舌头一直在舔,在龟头上360°打转转,舒适呀,口技不错,服务配合度高。 69时看着她鲍鱼粉嫩粉嫩的,舌头舔她妹妹有水,没有咸味,应该有清洗,做后魔棒出水,妹子性格甜,声音很甜,叫床特别好听,年纪也不大,00后,感觉只有26,不好的是手臂上有纹身,其他都挑不出啥毛病了,很喜欢这种甜甜的性格,高情商~ #AceLiu_95報告

💩106

15 Aug 2026, 07:59 UTC≈2,400 views11 reactionsread 21 August 2026
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@bingo5215 報告 #友谊 100 薇薇 身高 165左右 身材 9 奶手感贼好 配合 9 反馈 9 指数 668 水费 540 服务内容 TG群上看到报告加的微信,也算是赶在回北京前约上了,身材颜值和照片都挺对的上的。态度特别好,前面的按摩也不敷衍,关键还会主动换qqny,我都还没有要求。该有的流程都有,🐍吻嘴巴也特别软特别干净,嘴巴甜甜的,应该刚嚼过口香糖,🈚️烟味。0011带口,口技绝了,又👅蛋又👅棒,中间还会缓一下调调情,还主动提醒我抬起头来看她舔我的骚样子,最后要射的时候👋出。服务太顶了,态度也极好!👍性价比拉满,会反食 #bingo5215報告

💩65

9 Aug 2026, 12:32 UTC≈3,990 views12 reactionsread 21 August 2026
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@Lamp678 報告 #爱美健 早班 555555 妮妮 真人幾成對到相: 8成 身高: 170 年齡: 2頭 指數: 666 顏值: 9 身材: 9.5 服務: 8.5 服務內容: 上次上鐘小貓喵介紹既高質美女, 就決定試下, 竟然有驚喜, 前挺後翹小蠻腰, C+有彈性無科技, 仲可以一樣玩絲足交誘惑, 細節調情豐富 入房先來抱抱, 傾下計之間佢都不時係我三角位掃下掃下, 頂唔順好快就全清開始做背, 開始來過胸推, 佢皮膚好滑, 2個大奶子輕輕滑過軟綿綿, 跟住舌尖游走埋背,大腿小腿, 再來奶背, 奶到我幾舒服 轉身正面開始, 一嚟就主動上嚟🐍再錫lin, 雙手一直掃你下面, 跟住去床尾幫我🥚🥚🥖🥖, 好溫柔好舒服, 我主動揸佢波摸🐟舔腳, 全身舌尖漫遊爽歪歪, 個波手感不錯, 皮膚又滑, 再轉69位我雙手揸波邊食🐟互舔, 👅到妹妹流水了, 最後嚟一招上油足交, 腳不斷摩擦龜頭, 腳指頭上下慢慢滑動, 視覺吸引下夾腸式擦出

7💩5

9 Aug 2026, 12:24 UTC≈3,950 views5 reactionsread 21 August 2026
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@dds9986 報告 #皇家国际 701 收费:550 植树:668 身高:165 体重:96 体验报告: 樣貌:滿分10分打7/8分樣 年齡:28左右 服務:按摩認真手法不錯👍、熱情健談、服務過程細膩、舌頭綿軟、親舔AB面、、0011很OK、指數668(魔棒舒服)真熊柔軟c、個子1.65、體重:46Kg 買单:550 這次體驗還是很不錯 #dds9986報告

💩41

8 Aug 2026, 18:20 UTC≈3,730 views11 reactionsread 21 August 2026
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@Kevin_1210 報告 #港都 C6666 朋友找過的高挑女孩,推薦給我,說很有味道,我喜歡高挑的女孩,於是次日約定頭鐘前往羅湖水會,見到本人後跟朋友圈看到的照片相似度8成,身高170上下,身型夠好的,前凸後翹腹部無任何贅肉,胸部34c+,年紀28上下皮膚白,穿著衣服氣質感爆棚,特別是那一頭長髮,我及其感興趣,服務上很放得開,先是調情後面慢慢的脫衣服,相互脫,特別的溫柔,小老弟一直硬棒棒,服務上668的分數也夠發揮的了,因為兇器大我也是借此乳交了一波,然後就是吸舔,顏值是是耐看型,腿比較長比較長,上面有肉感,而且抱著的時候特別舒服,手沒有停,一直在調情,口技了得,沒有齒感,吞吐均勻,69都沒拉下,舔功很不錯,一舔就硬,硬了直接魔。吸蛋蛋舔棍子相當技術好,很溜。口的不要不要,最後是選擇了磨出水,抹著油可以更加順滑,出水在後馬上進入賢者模式。最後特點就是腿長細,翹臀,身材高挑豐滿。 #Kevin_1210報告

💩74

7 Aug 2026, 09:55 UTC≈4,380 views6 reactionsread 21 August 2026
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@tyrewq1210 報告 #富濠 早班 55555 環境:不錯 顏值 8 身高 165-168 身材 8 苗條細腰 服務 9 主動熱情 配合 9 反馈 8 指数 668 服务时长 足钟 水费 530 外型 身高較高,苗條御姐,熊B+,熱情健談 本人比相靚 說剛到富豪不久 part 1:本來約好了其他技師,因本人遲到,只能退掉!偶然輪牌到其他 詢問工號 55555 進房主動問好,樣貌耐看型 高挑 有眼緣 做服務:先正骨幾分鐘 躺下解甲 👅背部全身: part 2: 翻過身來,👅全身 從上到中 到下 0011 期間有口 換姿勢吃鮑 大長腿😅 後續魔棒 女上位磨 側身磨出水完事以後丟了垃圾,回房又繼續按摩聊天到下鐘 總結:偶然輪牌得到 高挑 比我都高😅 服務過程極好 不錯 檢驗日期:8/2026 #tyrewq1210報告

4💩2

7 Aug 2026, 09:42 UTC≈3,050 views10 reactionsread 21 August 2026
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@Leo27389 #富源 666666 指数:668 费用:530 人照相似度:85% 年龄:25左右 皮肤:滑 熊🐻:B+ 详情:自上次找6个6,这颜值和🐻还是很稳的。见面后先聊了会天,然后便被她其在了身下,深喉推到底,来了波蛇纹,品尝了一番洗面奶,然后便翻身向上继续亲,手在🐻和下面间来回轻抚。本人喜欢吃鲍鱼,69操作8分钟,在来个0011,然后便是常规的一些🐻推,手指漫游服务,最后在668和大车期间成功出水。 总结:颜值不错,🐻純天然的,喜欢🐻的值得推荐, 返食率:95% #Leo27389報告

💩73

30 Jul 2026, 19:58 UTC≈5,550 views13 reactionsread 21 August 2026
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@qas369800 報告 #碧水湾 7777 收费:500 胸围:36D 指数:668 颜值:8分【热情女友】 消费:500 服务:指数668,按摩,漫游,舔背,调情,有调0011,舌吻,69,磨棒 体检报告:朋友推荐的妹妹说服务不错,加上微信 预约好时间,吃完晚饭休息一下,就直奔会所了,晚上10点左右达到目的地,先去冲凉,漱口完就进房了,躺了一会,技师到了,颜值还可以,跟照片7分像,身材苗条纤细前凸后翘,车灯天然手感很好,胸D左右粉粉的,她的胸我很喜欢,软软的,摸起来手感很好,蛇稳特别有激情,服务很多,668分数,可全L,听话乖巧,69位舔11蛋蛋很有感觉,臀推波推全身漫游也特别有感觉,她皮肤很嫩,漫游全身爽歪歪,最后激情出水,爽得一批,态度很好,配合度高,价格优惠才500足钟一小时,到时间才让她走。走时候还拥抱了一下,叫我下次再约她,我也答应了她,本狼对这种服务好的无法抗拒哈哈哈哈,整体状态:有点醉生梦死了。值了~,返食

9💩4

27 Jul 2026, 05:24 UTC≈6,200 views24 reactionsread 21 August 2026
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@tyrewq1210 報告 #水域 1234 環境:不錯,房間好大 顏值 8 身高 160 身材 8 很瘦,苗條細腰 服務 9 會主動調情 配合 9 配合大車 反馈 8 指数 666-668 讓我感到驚喜 服务时长 足钟 水费 530 外型 一入黎見到個好瘦好身材顏值靚女,網紅一般,對到樣8成,是我喜歡類型 身高162,胸b-C應該是科技 part 1:進房主動問好,寒暄一番 就開始進入主題 做服務:趴下👅背部耳朵全身,一邊舔一邊會在耳邊說騷話,真的好騷: part 2: 翻過身來,用👅舔全身:按住我的雙手 瘋狂大車舌吻,這時候已經硬到受不了,期間一直舌吻纏綿,不會主動停下,直到你叫停:👅遊走全身 包括手指 小腿 0011 69吃鮑都會,她全身趴到我身上,雙腿緊緊夾住小弟蠕動:上下搖晃,這感覺太爽,我來之前已經出過一次,這次也沒頂住太久,好舒服的降落,完事以後丟了垃圾,回房又繼續按摩聊天到下鐘 總結:師兄推薦的她,無

12💩12

24 Jul 2026, 11:37 UTC≈6,260 views13 reactionsread 21 August 2026
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@werpp558800 报告 #棕榈泉 7777 年龄:26 身高:162 胸围:D 价格:520 服务:指数668、按摩、漫游、bt、十指谈琴、全身漫游、调情0011、69 体验报告:按照预定时间到了,当技师进来时,样子不是很惊艳,但是很耐看,看起来年龄不大,但是身材还不错,胸也很大,当撩起衣服后,一双大长腿就漏了出来,身材真不错,bt,过水,sw,等等都有,经过开场服务后和0011后,进入我最期待的8的环节,我躺着,只见美女开始跨上我的小弟弟,手拿着我的小弟弟开始摩擦她最神秘的地方,磨了几分钟后,我让她凑到我眼前看看她的桃花源,毛不是很多,但是很细,就像芳菲的柔草覆盖在那个神秘的峡谷之上,峡谷很干净,没有任何味道,让我有很想舔的冲动,但是我一直都是不舔的,所以还是忍住了。我让她翻身后磨,抹油后我对着她的小翘臀就插了下去,结果她啊的一声,然后调整姿势趴在她身上磨起来了,磨了有5,6分钟,语言的幻想,加上磨着她的峡谷,感受着

10💩3

23 Jul 2026, 15:37 UTC≈5,950 views10 reactionsread 21 August 2026
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@tyrewq1210 報告 #御芙蓉 早班 JJ 環境:裝修過,非常好 顏值 8 可愛迷人 身高 8 身材 9 非常棒 服務 8 配合 8 反馈 8 指数 667 服务时长 足钟 水费 550 外型: 妹妹非常開朗健談,真人絕對後生,好有氣質,屬於靚可愛妹妹類型,一眼中意,年齡23左右: 本人同朋友圈影片有9成相似,身高大概160,胸B+ 身型像model一樣,女友感十足! 白高瘦 大長腿 皮膚白滑 服務: 態度非常好,進門聊幾句開始做服務,調情,先做背部 舌技有feel,全身遊走,酥酥麻麻, 對波不算很大,不過手感幾好,背後波推 奶滑落上上下下軟軟好舒服,背部耳朵到小腿都有招呼到,好給力,後面轉身大車,剛開始會拘束,後面放開 之後0011左一段時間,大車錫LIN車仔,配合度高,之後我就開始摸魚食魚,不久就好濕,最後69出,完事輕輕擦拭有耐心,服務很周到,讚👍🏻,最後待到下鐘才走,滿意! 總結:顏值高,絕對高質小妹,

6💩4

21 Jul 2026, 10:49 UTC≈6,090 views14 reactionsread 21 August 2026
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@Lamp678 報告 #爱美健 早班 2004 小貓喵 真人幾成對到相: 8成 身高: 165 瘦腰 年齡: 2頭 指數: 666 顏值: 9 身材: 9 服務: 9.5 服務內容: 妹妹好開朗健談,真人好後生,識粵語傾計吹水, 佢笑聲好有感染力,無冷場氣氛好足,按左一陣擁抱輕吻就開始 先黎做背,波推、條脷幾好,奶到幾舒服,轉身大車左一陣,有靈魂好爽 對波唔算大,不過好揸手,一直舔一直吸一直揉,一邊摸魚,玩到佢濕濕地,繼續舐埋佢隻白滑長腿 之後 0011左一段時間、大車奶耳仔,配合度高,本人鐘意食魚 最後尼個69,進行左好耐都應該有10分鐘,忍唔住出左,事後清潔,再係房傾計吹水,擁抱輕吻再走 總結:顏值不錯,態度好,隻腳好正,皮膚白滑,服務一流,一定會翻食 體驗日期:2026年7月 #Lamp678報告

11💩3

Showing the 12 most recent of 24 posts we hold for @shenzhenreport. 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

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

“深圳會所技師報告” (@shenzhenreport), 10,358 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/shenzhenreport.

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.