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Channel

福田💗曼莎🈶🏠新人开课

@wkld3

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

1,809subscribers

-441 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002527067955
TypeChannel
Username@wkld3
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/wkld3

Growth

1,8092,2502,029.57 August 2026 — 2,250 subscribers7 August 2026 — 2,250 subscribers8 August 2026 — 2,167 subscribers11 August 2026 — 1,981 subscribers15 August 2026 — 1,809 subscribers7 August 202615 August 2026
5 measurements spanning 7 days, net -441. 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 1,743–2,316 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 01:561,809-172
11 Aug 2026, 13:321,981-186
8 Aug 2026, 15:462,167-83
7 Aug 2026, 18:482,250no change
7 Aug 2026, 18:322,250first reading

Engagement

16 posts held, back to 17 March 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.1%
avg views ÷ 1,809 subscribers
Avg views / post
274
2 posts measured
Reaction rate
0.548%
reactions ÷ views · ER floor
Posts in window
2
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held16 (17 March 20265 August 2026)
Views total547
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:48 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
11s
Average length
11s

Measured directly from 1 video 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

54 reactions across 16 posts, in 5 distinct kinds. The most used accounts for 48.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2648.1%
👍1527.8%
🔥713.0%
🥰59.26%
🌭11.85%

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 16 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 54reactions 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 17 March 2026 to 5 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

5 Aug 2026, 03:50 UTC70 views1 reactionsread 7 August 2026
Forwarded from @ee66iopnn

出击报告:https://t.me/ee66iopnn 验证留名:吾梦 吾梦 上课时间:8月4日 老师花名:#曼莎 位置坐标:#福田 上课花费:1300PP 出击体验:跟老师预约好时间,准时抵达。进门看到老师,还是有点紧张的。进门交了水费,就和老师进去洗洗了,老师给我洗的很仔细,还给我口了一下,洗完就躺着享受老师服务了。然后就品尝了一下老师鲍鱼,老师比较敏感下面,水水多我也是舔过瘾了,还有手指摸了一下老师的鲍鱼。最后在老师服务下忍不住出水了。休息了一会儿,就开始第二次服务了,然后在一阵努力下成功出水,一次很好的出击之旅。 优点缺点: 粉嫩的小穴很紧很多水 推荐程度:推荐 联系方式:https://t.me/wkld3 温馨提醒:报告仅供参考,请理性选择,切勿对号入座

1

20 Jul 2026, 03:37 UTC477 views2 reactionsread 7 August 2026
Forwarded from @ycfah

出击报告:https://t.me/ycfah 验证留名:我调野好劲 上课时间:7-19 老师花名:曼莎 位置坐标:#福田 上课花费:700/P 出击体验:预约了时间,一进门很惊喜,小姐姐身材真的非常好,皮肤很白,是我喜欢的样子,交了水费,浴室洗澡洗的很仔细,洗完之后,床上服务课表写的都有服务很细致,小舌头真的是很柔软无齿感太舒服了,特别是小姐姐会控制节奏,乳交很享受,先女上,接着后入,姐姐的后入视觉真的是曲线很完美,小细腰,大屁股,弟弟我一顿冲刺完美出货,特别好的一次体验,不虚此行,期待下次见面。 优点缺点: 很好很热情 推荐程度:推荐 联系方式:https://t.me/wkld3 温馨提醒:报告仅供参考,请理性选择,切勿对号入座

1👍1

29 Jun 2026, 04:58 UTC771 views4 reactionsread 7 August 2026
Forwarded from @lkzhyd

【验证报告】: https://t.me/lkzhyd 【验证留名】:上官百亿哥 【上课时间】:6-28 【老师花名】:曼莎 【位置坐标】:#福田 【上课费用】:700/P 【服务内容】:课表 【出击体验】:按照约定进门,看老师和照片差距不大,老师穿了深V女士套装,乳沟吸晴,小弟弟一下就硬了,聊一会然后去洗澡,老师身材不错,天然胸很嫩,一边洗一边把玩,老师洗的很认真,然后帮忙擦干,开始B面服务,按摩胸推,💆,指滑过水,都来了一遍,真的不错,然后开始A面服务,舔胸,指滑,口都很厉害,小弟弟硬的不行,然后带好小雨伞开始,传教士,九浅一深,老师下面已经湿的不行,双手紧紧抓住我的胳膊,一边叫一边说插的太深了,然后两手握着双乳继续冲刺,然后换到后入

2👍1🔥1

16 Jun 2026, 03:26 UTC819 views2 reactionsread 7 August 2026
Forwarded from @qingloucjbg

出击报告:https://t.me/qingloucjbg 验证留名:Stephen 上课时间:6月15号 老师花名:曼莎 位置坐标:#福田 上课花费:700/P 服务内容:课表都有 出击体验:关注了一段时间啦!这次终于有空就约上了。这边停车方便,老师指引我上楼,本来是冲着服务去的。结果见面以后又有惊喜,颜值也上线,比图片好看,这气质不亏来自大城市,非常满意!屋里宽敞干净温馨,聊了几句天,现金水费!洗澡时很耐心,帮擦干后选服务。上床了先做各种服务,简介有的项目都有,口技很好,无齿感,舒服的控制不住,马上让老师进入正题,老师女上的姿势动作太猛了,体力铰其他老师强,很快就败下阵来啦。想着再➕一课,老师没有时间啦,下次一定订个pp的,多享受一下和老师共处的美好时光,约好了下次见面! 优点缺点:服务很用心,情绪价值拉满 推荐程度:推荐 联系方式:https://t.me/wkld3

1👍1

2 Jun 2026, 05:03 UTC862 views3 reactionsread 7 August 2026
Forwarded from @ee66iopnn

出击报告:https://t.me/ee66iopnn 验证留名:扑街鸟 金翅 上课时间:6-1 老师花名:曼莎 位置坐标:#福田 上课花费:700/P 出击体验:老师给我拿了拖鞋,开始脱衣共浴,态度很好,洗完澡,和老师一起来到床边老师就叫我躺着,从脖子开始用她的舌尖舔到咪咪,酥酥麻麻很是敏感,压着老师来了一发蛇纹,老师反应很真实,这时的老二已经绑硬了,很舒服,就开始帮我口,老师口活很好,口的很舒服,弄得我忍不了直接带上帽子冲刺她的小蜜穴,感觉很爽,皮肤好丝滑,摸得很舒服。最后就出水洗了个澡回去了,情绪价值拉满。 优点缺点: 皮肤白超级水嫩,态度太好了 推荐程度:推荐 联系方式:https://t.me/wkld3 温馨提醒:报告仅供参考,请理性选择,切勿对号入座

1👍1🔥1

19 May 2026, 10:15 UTC865 views4 reactionsread 7 August 2026
Photo

今晚开课,有空的可以过来

1🌭1👍1🥰1

19 May 2026, 04:55 UTC871 views5 reactionsread 7 August 2026
Forwarded from @ycfah

出击报告:https://t.me/ycfah 验证留名:信手斩龙 上课时间:5月18号 老师花名:#曼莎 位置坐标:#福田 上课花费:1300PP 出击体验:哇,频道真养眼,看到发的图片,就上头了,果断约了头课,按时出发,到达上楼,进门看见老师样貌也精致漂亮不错,和妹子聊了一会,拉着妹子一起进浴室共浴,妹妹帮洗很认真,顺便揩了点油,洗完帮忙擦干,空调温度也合适,妹子开始舔胸,握着妹妹的奶子,手感很好很软,舒服,妹子吸了一会儿后,开始转向我的小弟,妹子口的技巧很好,时不时舔一下,一点没有齿感,妹子口技了得如果不小心就会被爆。69刺激的小弟弟弄得梆硬,妹子说好硬啊,带上小雨伞开始传教士,每次都能插到底,妹妹叫声自然,然后开始后入,握着老师的腰,后入简直不要太舒服,还有臀浪。然后开始冲刺,被老师夹的太舒服了,出货后休息下。妹子也没闲着,指滑一直挑逗,拨弄下弟弟,围绕弟弟用手指转圈圈,偶尔在亲亲,哇草在会了,弟弟瞬间膨胀,接着第二次就

2🔥2👍1

12 May 2026, 04:29 UTC740 views3 reactionsread 7 August 2026
Forwarded from @qingloucjbg

出击报告:https://t.me/qingloucjbg 验证留名:东北悟空 上课时间:5月11号 老师花名:曼莎 位置坐标:#福田 上课花费:700/P 服务内容:课表 出击体验:朋友推荐的曼莎老师,看照片是我的菜,于是提前跟老师约好时间,按照老师指引来到教室。老师颜值在线,身材很棒,天然奶子手感很好,看到老师先拥抱了一会,交水费,洗澡上床。先是各种舔,老师的舌头很灵活,舔起来特别舒服。然后轮到我来舔老师,舔到老师的脖子,继续下探到天然奶,玩了一会下探到小穴,没有异味,舔了好几分钟,老师被舔的哼哼唧唧的扭动着腰肢。接着让老师吃牛牛,老师口技很棒,伸出舌头舔着牛牛,时而吞吐,时而深喉。戴套啪啪,老师全程非常配合,先是传教,然后后入,再女上,最后换回传教并在抽插中射出。休息一会,洗澡后,又抱了一会结束。 优点缺点:非常嫩,态度好,笑容甜,任你摆布,乖巧听话。 推荐程度:10分推荐 联系方式:https://t.me/wkld3

1👍1🔥1

9 May 2026, 04:50 UTC609 views3 reactionsread 7 August 2026
Photo

眉黛夺将萱草色,红裙妒杀石榴花

2🥰1

28 Apr 2026, 05:27 UTC710 views6 reactionsread 7 August 2026
Forwarded from @lkzhyd

【验证报告】: https://t.me/lkzhyd 【验证留名】:小王 【上课时间】:4月27号 【老师花名】:曼莎 【位置坐标】:#福田 【上课费用】:700/P 【服务内容】:课表 【出击体验】:见到老师的第一感觉就是老师看着真的很清纯,白嫩。和一起去洗澡,老师洗的很认真,洗的时候不停的摸我牛子,洗完之后老师先亲我的乳头,我抱着老师的头,老师立马慢慢的往下亲,一口含住我的弟弟,这包裹感让我立马和老师开始了69,老师的户型很好看,无异味,我边舔边摸着老师的胸,老师的胸是天然胸手感好,乳头粉嫩,手感舒适,69了一会儿,我让老师躺好开始冲刺,冲刺的时候老师会根据我的力度不停的用手摸我的胸和后背,然后慢慢的手上到我的屁股后面迎合着我的摆动

3👍2🥰1

Showing the 12 most recent of 16 posts we hold for @wkld3. 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 — 146,954 of 1,548,671entries 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

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

“福田💗曼莎🈶🏠新人开课” (@wkld3), 1,809 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/wkld3.

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.