Telegram RegisterThe public register of Telegram

Channel

晚柠妙妙屋

@wanningmmw

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

621subscribers

+61 since we began measuring on 13 August 2026

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

Register entry

Telegram ID-1003898476121
TypeChannel
Username@wanningmmw
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live13 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/wanningmmw

Growth

560621590.513 Aug 2026, 08:33 — 560 subscribers13 Aug 2026, 14:27 — 621 subscribers13 Aug 2026, 08:3313 Aug 2026, 14:27
2 measurements taken within a single day, net +61. 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 551–630 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 14:27621+61
13 Aug 2026, 08:33560first reading

Engagement

9 posts held, back to 6 July 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
201.0%
avg views ÷ 621 subscribers
Avg views / post
1,250
6 posts measured
Reaction rate
0.07%
reactions ÷ views · ER floor
Posts in window
6
of 9 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 3 of 6 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 13 August 2026
Posts held9 (6 July 202613 August 2026)
Views total7,491
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 08:33 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
30s
Average length
8s

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

7 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7100.0%

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 5 of the 9 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 6 July 2026 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

13 Aug 2026, 07:53 UTC58 viewsread 13 August 2026
Photo

🎰 重庆茶百道x晚柠工兵抽奖活动🔥🔥🔥 📮 参与条件: 🌏️ 归属地 重庆 🪪 必须设置用户名 🎫 加入-晚柠妙妙屋 🎫 加入-重庆茶百道楼凤总群 └ 🎟️ 发言数大于 3 条 🎁 奖品内容: 💰️ 晚柠工兵券3p × 3 ⚠️ 抽奖说明: 1.南坪晚柠 @wannhfm 工兵活动不去的不要抽!中奖后48小时内和老师商量好具体约课时间,过期直接作废,中奖出击后写工兵报告,在群内直接输入工兵报告即可获取工兵模板! 2.工兵本身的使命就是探新车是否人照符合,态度如何,请具备工兵精神,再抽奖!但遇到人照差距超级大,工兵亦可转身,不要硬着头皮上!!! 3.不去的不要抽!!!抽了不去直接拉黑!!! 🔋 人品加成:⚡️⚡️⚡️ 规则 📅 开奖日期:(北京时间) 2026年08月14日 17时20分00秒

13 Aug 2026, 07:46 UTC33 viewsread 13 August 2026
Forwarded from @CQCBDRZPhoto

✡️重庆茶百道楼凤总榜推荐 ⭐️【花名】#晚柠 ⭐️【联系】@wannhfm ⭐️【频道】@wanningmmw ⭐️【位置】南坪 ⭐️【标签】 #嫩妹 #大蟒蛇 #鸳鸯浴 #一线天 #性价比 ⭐️【价格】5p8pp ⭐️【补充】南坪妹妹晚柠,bbw身材,极品一线天,喜欢丰满肥臀类型的可冲啦!!! 🐴重庆茶百道楼凤总群: https://t.me/CQCBD

24 Jul 2026, 15:49 UTC≈2,410 views4 reactionsread 13 August 2026

🚗🚗🚗重庆老司机 @cqlsj123 【花名】晚柠 【车牌】@wannhfm 【位置】天福克拉 【水费】500P 【细节】之前去熙熙老师,闲聊的时候聊到还有个闺蜜也在开,还给我看了一下照片,看着有点巴适,于是默默记下,正好今晚有空,果断约上,还是同一个地方,楼层不同而已,刚一进门老师一句哈喽哥哥,直接给我酥到了,声音真好听,脸也乖,跟照片差别不大,一对大雷顶得老高,心里顿时就乐了,果断交水费,然后抱着老师调整一下气氛,拉进一下距离,然后慢慢帮老师脱掉衣服,大雷跃然而出,一手把握不住,随后一起清洗,从后面抱着老师顺便帮老师也揉搓了一下,洗着洗着老二就不自觉的翘起来了,顶着老师的大屁股蹭了蹭,真舒服,洗完擦干上床后依旧舌吻起手,爽舌,舌饱后先让老师给我口,口活很赞,舌头会打转转,脚趾母都抓紧了,然后换我给老师服务,一手一只大白兔,抓着一顿猛吃,让后让老师躺在床边,我蹲在床边开始炫老师下面,毛毛不多,下面粉粉的,一点异味没有,舔了

4

7 Jul 2026, 16:48 UTC≈3,180 views2 reactionsread 13 August 2026

🚗🚗🚗重庆老司机 @cqlsj123 【花名】晚柠 【车牌】@wannhfm 【位置】天福克拉 【水费】500/P 800/PP 【细节】本来抽奖没中的,但是看结果有个兄弟时间对不上,就给我了,果断约上,教室好找,停车方便,进门见到老师第一眼,感觉已经稳了,人照区别不大,年龄,身高,体重,目测跟课表写的差不多,没有水份,声音挺好听,老师说干过陪玩的,bbw身材,🐻很大,撑得衣服鼓得老高了,事业线很深,老师很热情的打招呼,简单闲聊后一起洗澡,洗得还是比较认真,看着老师两个大奶,我也顺便帮老师洗了洗,🐻很软,手感不错,洗完上床后先抱着老师一顿猛🐍,就喜欢这种大蟒蛇老师,做爱不🐍没有灵魂,🐍爽后让老师口,之前老师是没有口的,现在加上了,不得不说,口活很不错,没有齿感,时间也久,在嫩妹中属中上了,老师口的时候我手也没闲着,在老师身上游走,捏捏奶子,摸摸小穴,很敏感,嫩妹还是好,随便调调情下面叫水汪汪了,还是一线天户型,毛量也不多,掰

2

7 Jul 2026, 09:02 UTC≈2,690 views0 reactionsread 13 August 2026

🚗🚗🚗重庆老司机 @cqlsj123 【花名】晚柠 【车牌】@wannhfm 【位置】南坪天福克拉 【水费】500p/800pp 【细节】看群里抽新老师,被那张绑眼罩的照片深深吸引,来了性趣,等不了开奖了(反正都是陪跑),于是跟老师约了晚上的时间,到教室见到老师本人,跟照片差别不大,8分像是有的,微胖身材,个子挺高,怕是有165,胸确实大,36d妥妥的,抱了一下老师,体重差不多一百零几到一百一,声音好听,老师说做过瓦陪玩,态度很好,情商也高,很会聊天(能做陪玩,不会聊天也做不了),聊会儿天后交课费后一起洗澡,老师给我洗,我也给老师抹上沐浴露开始揉搓,从背后抱着老师,把玩着两只硕大的胸器,老二立马来精神了,顶着老师的大屁股,洗完擦干上床后抱着老师开始大蟒蛇,舌头灵活,伸得比较出来,爽🐍,然后抓住老师两只大奶猛吃再到肚子,小腹,最后分开老师双腿开始品尝蜜穴,老师下面毛不多,户型好看,粉粉的,无异味,老师很敏感,舔下面反应很强烈,

6 Jul 2026, 08:11 UTC≈1,770 viewsread 13 August 2026
Photo

【重庆学生会认证】 【花名】 #晚柠宝宝 【编号】 #B0270 【标签】 #5p #嫩妹车 #巨乳 #感觉车 #蛇蛇精 #态度车 #代聊 #新人 【工兵一“反馈”】看了老师照片,是我喜欢的类型,特别是戴眼罩那个视频,很戳我性癖,于是果断约上,教室好找,停车方便,见到老师本人,人照8分,差别不大,本人挺好看的,身高165左右,体重目测105到110之间,微胖款,比例匀称,所以看着挺协调的,奈奈确实大,一手把握不住,很软,手感极佳,进门态度热情,很会聊天,说话声音好听,软软糯糯的,交了课费,一起抽了根烟后一起洗澡,在浴室抱着老师,打上沐浴露一阵调情抚摸,把老师怼在墙上开始🐍,没有口气,很配合,舌头灵活,量大管饱,蛇饱后洗完擦干上床,老师躺下的瞬间,无意中瞥到逼逼粉粉的,不错,随即开炫,老师很敏感反应有点强烈,见老师遭不住了(其实我也遭不住了),于是立马戴上直捣黄龙,很湿润,褶皱感明显,舒服的一逼,老师叫声也很诱人,顶到底后

Showing the 9 most recent of 9 posts we hold for @wanningmmw. 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 — 853,943 of 1,480,688entries 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.

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

“晚柠妙妙屋” (@wanningmmw), 621 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/wanningmmw.

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.