深圳榨汁大队报告区:https://t.me/szzzbgq #南山 #小仙女 【验证留名】:二爷 【验证时间】:8.5 【修车水费】:1500p 【服务内容】:xcz69kiss 【颜值身材】:细枝硕果,皮肤滑 【凶器罩杯】:C➕ 【体验细节】:颜值和身材没得说,和照片一致,身材苗条匀称,熊挺手感好,皮肤超细腻丝滑。服务配合度高,温柔细腻,让人如沐春风。老师性格超好,笑容温柔又甜美,很会聊天,情绪价值拉满,体验拉满 【事逼行为】:无 【优点缺点】:大眼巴掌脸筷子腿大熊 【推荐程度】:10 /10满分,0颜值,0身材,0服务,0态度,0性价比(五个模块均给出评分) 【联系方式】:@sznsxxn2 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座
Channel
深圳榨汁报告区
@zzddbg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,666subscribers
+127 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003711004413 |
|---|---|
| Type | Channel |
| Usernames | @szzzbgq @zzddbg |
| Description | 深圳榨汁大队的老师均已通过特别认证; 选妃区的老师都已拍过🤙手势; 深圳老师验证上榜推广👉:@zztgy 双向联系:@szzztgys_bot 深圳榨汁大队:https://t.me/zzddfbbot?start=join_7848870377 深圳榨汁大队选妃区:https://t.me/shenzhenzhazhixf 一键关注深圳榨汁:https://t.me/addlist/jS5EsVH0f041ZWJl 全国榨汁:@quanguozz |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/zzddbg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 10:58 | 9,666 | +16 |
| 11 Aug 2026, 04:46 | 9,650 | +40 |
| 9 Aug 2026, 18:42 | 9,610 | +41 |
| 7 Aug 2026, 21:01 | 9,569 | +3 |
| 7 Aug 2026, 18:31 | 9,566 | +21 |
| 7 Aug 2026, 01:11 | 9,545 | +6 |
| 6 Aug 2026, 20:03 | 9,539 | first reading |
Engagement
121 posts held, back to 5 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.02%
- avg views ÷ 9,666 subscribers
- Avg views / post
- 195
- 121 posts measured
- Reaction rate
- 0.447%
- reactions ÷ views · ER floor
- Posts in window
- 121
- of 121 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 13 of 121 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 121 (5 August 2026 – 12 August 2026) |
| Views total | 23,573 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 14:56 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
- Links
- ≈4,190
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
11 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 90.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 90.9% | |
| 😁 | 1 | 9.09% |
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 13 of the 121 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 11reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 121 most recent posts we hold, published 5 August 2026 to 12 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
深圳榨汁大队报告区:https://t.me/szzzbgq #福田 #奶糖兔 【验证留名】:青蛙王子 【验证时间】:2026/08/12 【修车水费】:1200p 【服务内容】:课表都有 【颜值身材】:9 分 【凶器罩杯】:c 左右吧 【体验细节】:原本约 pp 的,临时出事只能缩成 1p,老师也没抱怨,1p 也要做满服务,简单洗澡后就把我拉到床上开始享受,边服务还边骚话连篇,不断勾引,手活口活都很不错,怕提前缴械就赶紧叫停了老师,霸王硬上弓,在老师持续不断的骚话中结束了 【事逼行为】:🈚️ 【优点缺点】:没什么缺点 【推荐程度】: /10满分,0颜值,0身材,0服务,0态度,0性价比(五个模块均给出评分) 【联系方式】:@naitangtus 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座
深圳榨汁大队报告区:https://t.me/szzzbgq #南山 #媚儿 【验证留名】:大利 【验证时间】:8.12 【修车水费】:3999 【服务内容】:课表 【颜值身材】:人照8分,身材不错 【凶器罩杯】:D 【体验细节】:关注媚儿老师很久了今天才有空来,约了120分钟日式水床,老师说这个项目目前只有澳门才有,一进门老师的科室环境很好,干净整洁,还备了各种硬料,老师的身材很好,胸大屁股翘,完全长在我的审美上了,老师先带我洗澡,第一次坐这种凳子还对着镜子,老师身上打满泡泡大胸在我身上对着镜子前后上下磨,太刺激了,洗好帮我干擦,老师很细心温柔,去房间让先挑个衣服跳诱惑舞蹈,再去水床上,跟看黄片里一模一样,各种姿势把我舔了个遍,每个房间里都是镜子,视觉感拉满非常刺激了,前面舔的太刺激了后面没几下就出来了,完事老师给我按摩我还睡了一觉来再来一第二发刚好,整个感觉非常好,确实是放松的好地方,现在很难有这种了服务跟环境都到位的地方…
深圳榨汁大队报告区:https://t.me/szzzbgq #宝安 #彤彤 【验证留名】:杰克 【验证时间】:8月12日 【修车水费】:500♻️ 【服务内容】:花式情调,漫游,轻奢,69,毒龙,多姿势口爆。 【颜值身材】:凹凸有型,魅力四射,回味无穷。 【凶器罩杯】:D 【体验细节】:今天奔着老师的课室,果断就预约了,遥控上楼,进出很方便,进门就被老师的颜值合身材拿下了,从接待的礼节和态度,已经决定了老师的技能。课室是一个高端的私人公寓,情趣满满,而且温馨,床软软的,氛围感超级好,于是果断支付了课费。老师温柔贤淑的帮我把鞋子衣服脱下,领着我进入浴室,就给了我一个迷人的眼神,给了我一个小小的惊喜,拿着花洒,冲洗着我身子,抹着香味十足的香氛沐浴露,老师的十指情调开始上演,小弟一下就赢得不行,老师就来一个水中销魂,差点要了我小命!床上戏分开始,老师两个大白兔开始在我身上滚动,软绵绵的,滚雪球般荡漾,亲吻,漫游,小腰妩媚的扭动,身…
深圳榨汁大队报告区:https://t.me/szzzbgq #福田 #兰兰 【验证留名】:Azz 【验证时间】:2026.8.19 【修车水费】:900p 【服务内容】:调情 鸳鸯浴 🐍 按摩 口 【颜值身材】:170 【凶器罩杯】:D 【体验细节】: 关注兰兰老师频道有一段时间了,今天终于得空果断预约了,约的晚上,到达地方,遥控上楼,开门就看见兰兰靓丽的身影出现在我眼前,没有白来,本人比照片好看,果断交了水费,一起共浴,看着漂亮的脸蛋,一对大胸,洗浴的时候就忍不住上摸了摸,洗完躺着就等老师了,上来先亲吻了一番,一路向下,一直到了最舒服的环节,没想口的还挺舒服,态度特别好,口了一会忍不住了叫老师戴伞坐上来,很紧,腰还会轻轻扭,舒服的不行,腰肢一晃一晃的,胸也跟着晃,视觉效果拉满,根本忍不住了翻身就是传教士,双手抓住软软的大白兔,直接就上头了,伴随着老师的小颤抖一起冲线,完美收工,值得好评值得推荐,人好看,身材好,人嫩又好看…
❤2
深圳榨汁大队报告区:https://t.me/szzzbgq #福田 #安然 【验证留名】:H 【验证时间】:8.12 【修车水费】:1098 【服务内容】:p 【颜值身材】:胸大腰细 【凶器罩杯】:C 【体验细节】:听闻狼友介绍说安然口活超赞,立刻约上,一进门看到安然颜值和身材就是我的菜,一看就是经常锻炼的身材 ,比例也很好 ,大长腿 ,寒暄了几句 老师就伺候我更衣沐浴陪浴 ,浴室里那柔软雪白的双峰 至上而下划过我的身体时 我的二弟就已经坚挺难耐坚硬无比了 老师嘴里含着温水在给我口时 那魅惑的眼神让我欲罢不能啊 洗完澡老师换上我选择的战袍 开始了一顿骚操作 从耳边呓语 到吮吸乳房 ,再到三角区 蛋蛋,一阵一阵的酥酥麻麻 尤为享受 ,口活绝对一绝 尤其是那深喉 恨不得把整根都吞下去了 包裹的很满 ,差点缴械投降 被我及时制止了 。 带上安全措施后由于我喜欢主动 尤其是后入 ,老师的屁股圆润又紧实 ,跟随着我频繁的抽…
深圳榨汁大队报告区:https://t.me/szzzbgq #福田 #奶糖兔 【验证留名】:zuogehaoren 【验证时间】:26/08/12 【修车水费】:2100pp+2100pp 【服务内容】:第二次返食 【颜值身材】:与频道9分像,还挺有趣 【凶器罩杯】:B 【体验细节】:体验感拉满,两次都是。由于老师服务做得太足,所以马上洗完,先来一次,女上摇得很爽,射完之后,老师擦完。就让我直接趴下了,然后就是欲仙欲死的1h,趴在那里,老师指尖先滑过背部,然后是腿部,然后又波推,然后再上油,然后游龙。体验感拉满,而且还骚话连篇,我只能享受地哼唧着。总之就是爽大发了。出击这么多次,第一次享受到这样的服务。满意了。最后在传教士中出了。出完老师还给我夹住了。实在受不了了。榨干了。😂😂而且老师真的太有趣了。hhhhhhhhhh 【事逼行为】:无 【优点缺点】:都是优点。 【推荐程度】: 10/10满分,10颜值,9身材,10服务,1…
深圳榨汁大队报告区:https://t.me/szzzbgq #福田 #小椰奶 【验证留名】:耶耶 【验证时间】:8.12 【修车水费】:1100p 【服务内容】:课表上 【颜值身材】:人照一致 颜值高 【凶器罩杯】:D 【体验细节】:导航上门,寒暄后就是洗洗身子,帮洗过后就是躺着羞羞了。哥们直接上手给她脱下,开始滚床单,不得不说妹子的胸太嫩也大,摸着手感很好,🐍什么的也不抗拒,口完之后就是开干,整装待发,抱起妹子双腿就开干。a面干完转b面,妹子翘屁股的时候,欲火不免又燃起几分,臀真的不错,又嫩又白,恰恰好处,龙根顺畅游进小穴,一次次冲击。最后也是换a面边艹边🐍,顺利出水。比较推荐的一次出击 【事逼行为】:无 【优点缺点】:高颜值 胸大 好嫩 皮肤白 服务态度好 【推荐程度】: /10满分,0颜值,0身材,0服务,0态度,0性价比(五个模块均给出评分) 【联系方式】:@xiaoyenais 【温馨提醒】:报告仅供参考,请理性选…
深圳榨汁大队报告区:https://t.me/szzzbgq #福田 #欣羽 【验证留名】:清新 【验证时间】:8.12 【修车水费】:700 【服务内容】:69 舌吻 陪洗 胸推 制服丝袜 【颜值身材】:身材好 【凶器罩杯】:🐻c 【体验细节】:今天过去一进门,穿了一身性感情趣,很热情女友感拉满,房间很大很宽敞,干净舒服不压抑,简单聊一会喝了点水。进浴室一次性用品齐全,开始帮洗,擦干后我直接躺床上。于是措不及防就开始了,像是欲求不满的女友强行索爱,服务很细心,课表的服务真的很到位,在福田找过这么多的老师,欣羽很顶,让人仿佛飘在云端,口活更是绝,让我全身都非常舒服,口的太深了,全身都有酥麻的感觉,老师见状带上 tt 做上来,进入时感觉很烫很紧,一边上下摇动,销魂的感觉,微微的叫床声,隐隐约约能听到水声,两手抓着奶子,让我更加卖力,接着后入式,圆润的臀围,紧致的下身,各种姿势,终于出水,走的时候超久熊抱像是异地了很久的女友,内心…
深圳榨汁大队报告区:https://t.me/szzzbgq #南山 #露娜 【验证留名】:J 【验证时间】:8/12 【修车水费】:1100p 【服务内容】:全部 【颜值身材】:9/10 【凶器罩杯】:D 【体验细节】:非常好 【事逼行为】:无 【优点缺点】:服务就不用说了,非常好。老师很健谈,身材从背后看非常性感,正常人看到都会受不了,上门老师就很有亲切感,从开始到结束一不留神就结束了,整个过程都在享受,非常值得,会二刷。 【推荐程度】: 9.5/10满分,9颜值,9.5身材,10服务,10态度,10性价比(五个模块均给出评分) 【联系方式】: @zzz3580 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座
深圳榨汁大队报告区:https://t.me/szzzbgq #福田 #依依 【验证留名】:玉郎 【验证时间】:8-11 【修车水费】:700 【服务内容】:课表 【颜值身材】:颜值高,身材娇小比例好 【凶器罩杯】:B 【体验细节】:提前预约,来到下面,一进门就感觉妹妹年纪小颜值高,难得的人照合一,面容精致侧面格外好看。有意思的是依依是个不知已美的妹子,一直说自己不好看,其实绝对属于清秀漂亮型的。妹妹身材娇小比例非常好,是那种见到就像亲近的嫩妹。 交了水费先是紧紧相拥,洗浴之后先吻双峰妹妹反应明显,敏感的嫩妹。然后直接躺平开始享受服务,妹妹的口技生涩,但是态度不错每一下都温柔小心,也愿意配合各种姿势,性格很好,口了一会我把姑娘放倒在床上,轻吻身体很干净少女的体香,接着带帽做事妹妹各种姿势都很配合,的确是很紧反馈激烈且自然,明显感觉初下海不久很少开课。最后酣畅淋漓,一泻千里。总的来说是一次很愉快的体验,很值得返食。 【事逼行…
深圳榨汁大队报告区:https://t.me/szzzbgq #南山 #清瑶 【验证留名】:爽鸡鸡 【验证时间】:8.11 【修车水费】:1300P 【服务内容】:课表全 【颜值身材】:凹凸有致 人照8.5成以上 【出击体验】:日常熬夜,被清瑶猫翻牌,直接约! 今天是花色裙子,内搭是粉色情趣,😍色爆了 🤓迟到9分钟但是还是准时下课🤓👆🏻什么实力不必多言。重复的略 直接开始打比赛,清瑶还是老连招,这次有新衣服,和粉色情趣不分伯仲了,烧烧的清瑶还让我帮她穿🥰,装备好了,依旧大🐍起手,今天状态不好,到口才硬,且居然马上被秒!清瑶还不松口,没有办法,只能求饶,还好清瑶吃这一套,让我打了一轮高对低,新衣服直接色爆了,穿着都不好开比赛那种,依旧用最喜欢的边蛇🐍边doi,超级爽,然后稍微休息就被清瑶刺激,然后我开始变招(dddd),状态不好兄弟们,这波切一次直接被秒。 报告!本次比赛迟到9分钟,40结束战斗,over 总结:颜值车,服务车,…
Showing the 12 most recent of 121 posts we hold for @zzddbg. 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 — 30,256 of 1,176,251entries 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 21 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.
Named by
Channels on the register whose posts name this channel's handle.
@szzz_xfq · 25,60251 posts深圳榨汁优惠券频道
@szzzyhq · 13,89635 posts深圳·南山熙若的朋友圈~
@xiruo1234 · 8,08510 posts彤彤个人频道
@TT68885 · 2,5713 posts瑶瑶小居
@qqq520qq · 902 posts福田双双✨18岁170🉑🐍69
@ShuangShuang_99999 · 2,8362 posts宝安 坪洲95 🉑🉑新频道
@aKeke885996 · 5761 post安安
@anan998870 · 3,6281 post黎巴啦(开课🀄️)
@Bbbvaz · 3,1701 post软软的🏠(08年毛少一线天 )桩机勿扰,谢谢
@ccxs5596 · 9061 post南山护士姐姐(服务系)
@GI6478h · 1,8111 post龙华大长腿白虎衣衣频道
@kdnnfjjm · 781 post米朵
@lllmmmdddl · 1,1151 post宝安首开🥤奈雪💦短期兼职🈷️
@naixuekeai820 · 7811 post龙岗小马
@sjdjdk11 · 1,5991 post橙子味的私域
@Xiao4Jiao · 3,5121 post福田小丫
@xiaoya55679 · 711 post宝安 alisa (乌克兰)
@ya4688 · 3,8781 post子涵的朋友圈🌸
@zihanmm88 · 2721 post龙岗小洋洋频道课表
@zybgmg · 2,7301 post南山 露娜
@zzz358350 · 121 post
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“深圳榨汁报告区” (@zzddbg), 9,666 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/zzddbg.
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.