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Telegram profile photo for 异域风情💥温妮莎🧚‍♀🧚‍♀

Channel

异域风情💥温妮莎🧚‍♀🧚‍♀

@wennisha1288

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

713subscribers

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

Register entry

Telegram ID-1004454641424
TypeChannel
Username@wennisha1288
CreatedBetween 1 June 2026 and 25 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded27 September 2026
Last confirmed live27 September 2026
Measurements held1
On Telegramt.me/wennisha1288

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 We do not publish numbers we have not measured.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
27 Sept 2026, 00:22713first reading

Engagement

16 posts held, back to 25 July 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
45.7%
avg views ÷ 713 subscribers
Avg views / post
326
3 posts measured
Reaction rate
0.207%
reactions ÷ views · ER floor
Posts in window
3
of 16 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 1 of 3 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 26 September 2026
Posts held16 (25 July 2026 – 26 September 2026)
Views total978
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 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
12
Videos
8

Lifetime counters from Telegram’s own channel header, read 27 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
20s
Average length
5s

Measured directly from 4 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

14 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 92.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1392.9%
👎17.14%

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 12 of the 16 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 25 July 2026 to 26 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

26 Sept 2026, 14:27 UTC197 viewsread 27 September 2026
Photo

🈶位。

Signed 温妮莎🍒170大长腿(河南岸开)

26 Sept 2026, 11:29 UTC299 viewsread 27 September 2026

【验证留名】chenhg 【验证时间】:9/26 【妹子艺名】:温妮莎 【场所类型】: @wennisha128 【修车水费】:pp 【人照几成】:9分 【身高体重】:90 【胖瘦赘肉】:s身材 【凶器罩杯】:B+ 【老师类型】:御姐 【服务内容】:看见老师回来了,马上预约,一个多月没见又漂亮了,模特搬身材,无坠肉,很亲切,拥抱kiss,女友式陪伴,服务次次都优秀,性格好,厨房,阳台,浴室,客厅,都留下来足迹,很完美的一次邂逅。 【服务态度】特别棒 【服务详情】:课表一样不拉,而且很好 【推荐程度】:100 ✅已核实聊天记录截图

Signed 温妮莎🍒170大长腿(河南岸开)

26 Sept 2026, 05:25 UTC482 views1 reactionsread 27 September 2026
Photo

好久不见, 回来开课啦,首课约约起来哦🥰。 @wennisha128

❤1

Signed 温妮莎🍒170大长腿(河南岸开)

5 Aug 2026, 08:02 UTC≈2,090 viewsread 27 September 2026

姨妈休息啦,回头见

Signed 温妮莎🍒170大长腿(河南岸开)

4 Aug 2026, 09:12 UTC≈2,250 views1 reactionsread 27 September 2026
Forwarded from @kiki321322

#出击大队报告模板 📄【老师体验报告】 【老师花名】:温妮莎@wennisha128 【课室位置】:#河南岸 【上课费用】:350(半价优惠券) 【出击时间】:8.4 【人照几分】:8 【身高身材】:170.b 【沟通态度】:很热情 【项目细节】:xcz 【是否超时】:否 【卫生环境】:干净整洁 【自由评论】:人生第一次中了半价出击的,由于老师出门玩了几天,今天才约上。约好时间,到了楼下,遥控上楼,进门就看到老师那异域风情的模样,身高也很高,高高瘦瘦的样子,还是不错,给了水费就开始洗澡。老师洗的很仔细,干干净净的,不会说随便冲两下,洗完先来个水中萧,舒服的,然后到床上。a面吸了一遍,直接开始吹,口技也是不错的,吹的很带劲,吹的差不多就开始女上起手,女上了一下老师建议后入,我让老师先躺下,尽情的来回做活塞运动,老师也兴奋的嗷嗷叫,一直喊着要给她,然后换了姿势后入,老师屁股还是挺有肉的,后入的感觉也不错,本来想抱起来走a的,老师可…

❤1

Signed 温妮莎🍒170大长腿(河南岸开)

4 Aug 2026, 05:08 UTC≈1,780 views3 reactionsread 27 September 2026
Photo

开课咯💐💐💐

❤3

Signed 温妮莎🍒170大长腿(河南岸开)

3 Aug 2026, 12:24 UTC≈1,900 views0 reactionsread 27 September 2026
Forwarded from @hzcj123

【验证留名】:Martin 【验证时间】:8/3 【妹子花名】:温妮莎 【联系方式】: @wennisha128 【所在位置】:河南岸 【修车水费】: pp 【身高身材】 170 【颜值相似】:混血 【凶器状况】:B 【服务内容】:莞式 【机车行为】:无 【优点缺点】:技术好 【推荐程度】:10 【服务详情】:看见混血宝贝回来,赶紧返,这次来没有上次那么紧张了,直接要了pp,两次出水感觉状态都超级好,把老师搞得喊老公了,熟悉以后我也很放的开,客厅,阳台,都是战场,很配合,给足我的要求和情绪价值,女友感妥妥的,下次攒够了再来爱爱。 ✅已核实聊天记录截图

Signed 温妮莎🍒170大长腿(河南岸开)

3 Aug 2026, 06:27 UTC≈1,810 views2 reactionsread 27 September 2026
Photo

哥哥们,可以约三点半头课哦🙈

❤1👎1

Signed 温妮莎🍒170大长腿(河南岸开)

28 Jul 2026, 16:12 UTC≈2,320 views0 reactionsread 27 September 2026

宝宝们,明后休两天,周五开哦

28 Jul 2026, 05:43 UTC≈2,290 views0 reactionsread 27 September 2026
Forwarded from @hzcj123

【验证留名】:西 【验证时间】:7月27 【妹子花名】:温妮莎 @wennisha128 机器人: @wennisha128bot 【所在位置】:麦地 【 安 全 性 】:高 【修车水费】:7p 【身高身材】:172 【颜值相似】:9分 【凶器罩杯】:C挺拔 【服务内容】:课表 【服务详情】: 二返温妮莎,老师今天衣服太性感了,一套透明白衣衬衫,一览无余,一口广东本地口音,哈哈,脱光光牵着我老二去洗白白,在浴室太骚了,强吻老师了,床上体验一样很爽,舌功了得,床技彻底被征服,感觉今天老师水特别多,排卵期来了吧,又会夹又会扭的,艹的很爽,在敞亮的客厅123嘟嘟嘟出水,帮洗完在沙发上闲聊,等着后面兄弟上楼,走人。 【机车行为】:未发现 【优点缺点】:颜值身材很棒 【推荐程度】:9星⭐ ✅已核实聊天记录截图

Showing the 12 most recent of 16 posts we hold for @wennisha1288. 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

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

“异域风情💥温妮莎🧚‍♀🧚‍♀” (@wennisha1288), 713 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/wennisha1288.

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.