记得提前预约噢

Channel
十三嫂的基地
@wuwu678345
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
946subscribers
-24 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003171094392 |
|---|---|
| Type | Channel |
| Username | @wuwu678345 |
| Created | Between 1 September 2025 and 6 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/wuwu678345 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 18:33 | 946 | -18 |
| 16 Aug 2026, 09:04 | 964 | -6 |
| 15 Aug 2026, 07:30 | 970 | no change |
| 15 Aug 2026, 07:20 | 970 | first reading |
Engagement
20 posts held, back to 6 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.48%
- avg views ÷ 946 subscribers
- Avg views / post
- 23.5
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 20 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.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 20 (6 November 2025 – 13 August 2026) |
| Views total | 47 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 07:30 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.
What this channel posts
- Video runtime
- 14s
- Average length
- 7s
Measured directly from 2 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 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 20 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 6 November 2025 to 13 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
💃老师:#十三嫂 🤖链接: https://t.me/shanghaidadao/11558 💒位置:#普陀 ------------------ 💌出击报告:先用胸推把整根夹住。软肉又热又紧,上下套弄的时候还会故意用力挤压,顶端一次次从乳肉里露出来又被吞回去,力道控得很稳。 毒龙紧接着上,她完全不抗拒,舌头又软又灵活,又舔又吸,力道干净利落,还时不时抬头看我反应。做完之后直接把胸凑过来,让人直接胸射。乳肉上亮晶晶的,她自己还用手把那两团软肉挤在一起,把东西都接住,表情很淡定。胸推的扎实、毒龙的敢做、最后的胸射收尾,三样连着来,又色又利落。短短一场已经足够过瘾,她擦胸的时候动作很随意,完全没有扭捏。
💃老师:#十三嫂 🤖链接:https://t.me/shanghaidadao/11016 💒位置:#普陀 ------------------ 💌出击报告:一上来就很有女王感,语气和眼神都带着压迫。 她先低头舔蛋,舌头又软又细致,把两边都吸得发胀;接着做吸皮,嘴唇贴着柱身轻轻吸住再放开,反复几次皮肤就敏感得不行。全程她都掌控着节奏,想让你爽就给你爽,想停就停,SM的支配感很明显。短却够劲,女王范儿十足。
💃老师:#十三嫂 🤖链接:https://t.me/shanghaidadao/11016 💒位置:#普陀 ------------------ 💌出击报告:女王气质和全面服务让人印象深刻!十三嫂身材丰满成熟,胸部F杯饱满沉甸甸,皮肤细腻有光泽,气场强大。一见面她就穿着性感皮衣,女王范儿十足。服务从SPA按摩开始,她手法专业有力,从背部到全身慢慢放松,边按边用身体贴着挑逗,前戏做得非常到位,迅速把氛围推向高潮。随后进入SM女王模式。她熟练使用轻度捆绑、命令、调教等玩法,言语支配感强,动作果断又不失分寸,把我完全掌控在手中,满足了被征服的欲望。无套内射环节极其刺激。她里面又热又紧,骑乘和后入时主动收缩夹吸,金枪十八式各种高难度姿势切换自如,腰臀扭动有力,体力惊人,猛烈撞击下快感持续爆发。最后几次无套内射都顺利完成,过程安全措施辅助得当,事后清理仔细。十三嫂服务态度强势却贴心,配合度极高,叫声成熟又浪,节奏掌控精准。整个过程高强度且…
💃老师:#十三嫂 🤖链接: https://t.me/shanghaidadao/9812 💒位置:#普陀 ------------------ 💌出击报告:女王范儿十足。先是SPA按摩,全身精油推拿很舒服,然后直接进入正题。舔蛋和吸皮技术专业,舌头又热又软,把我伺候得鸡巴直跳。后面开启SM模式,轻度捆绑+女王调教,声音又媚又凶,刺激感拉满。最爽的是她🉑无套内射!金枪十八式各种姿势随便换,尤其是后入和骑乘位,F杯甩得啪啪响,骚穴又紧又会吸,最后直接中出,射得特别深。她全程浪叫配合,事后还温柔清理。服务主动没底线,熟女味儿浓。
💃老师:#十三嫂 🤖链接: https://t.me/shanghaidadao/3476 💒位置:#普陀 ------------------ 💌出击报告:过去比较方便。老师也很谨慎专业让人安心。身材我很满意,胸摸着顶很弹。要求穿黑丝情趣服也满足了。黑丝腿摸着手感很好。屁股大腰部无赘肉好评。实战利器服务态度让我觉得很舒适,互相搭话开玩笑氛围感很好。下次一定要再来
宝子们 过来喝奶吗🤗
【出击报告】[https://t.me/shdadao1] 【老师艺名】十三嫂 【联系方式】 @hp905322 【所在位置】普陀 【验证留名】丁真 【验证时间】3月30号 【颜值身材】大奶少妇 【服务内容】课表全套 【服务态度】很好 【优点缺点】不敷衍 【推荐程度】五星推荐 【体验细节】见面之后符合我的幻想,奶子很大,说话轻轻的,先一起洗了个澡,擦干之后上床,按照课表开始服务,不得不说老师口活非常好。之后会主动问要不要女上,看着大胸随着动作一跳一跳的,很有感觉,就是老师最近减肥体力不是很好,换成我在上面主动,省略一万字出水,然后去洗澡。躺在床上休息,老师给我按摩聊天。开始二番战,依旧女上起步,最后传统的体位结束战斗,洗澡擦干穿衣服出门,总之钱不白花,值得当回头客
一直在
【出击报告】[https://t.me/shdadao1] 【老师艺名】十三嫂 【联系方式】 @hp905322 【所在位置】普陀 【验证留名】大F 【验证时间】2026年3月12日 【颜值身材】奶大活好 【服务内容】课表全套 【服务态度】好的一批 【优点缺点】过程投入 【推荐程度】9 【体验细节】一进门直接比基尼套装,身材很顶.迅速脱脱脱!洗澡!躺床!服务一顿操作各种舔,过程省略万字,然后做爱,各种姿势的做爱!一次过后开始聊天,还让我趴着按摩放松,然后你懂的,又开始了第二次操作,毒龙,漫游,等等等等..然后又开始了做爱!非常久的做爱!然后我发现做爱的时候像那个明星一时想不起了,一顿漫长的万字操作,结束的时候小弟弟都是麻的..比较爽! ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交机器人:@BT888865bot 报告提交条件:需要提供约课记录及付款记录验证
老公们有位置哟😯
在线守候
❤1
Showing the 12 most recent of 20 posts we hold for @wuwu678345. 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 — 573,941 of 1,624,174entries 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
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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“十三嫂的基地” (@wuwu678345), 946 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/wuwu678345.
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.