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嘉兴✍🏻用户反馈中心

@ntwwxuner

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

9,711subscribers

+21 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001739181172
TypeChannel
Username@ntwwxuner
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/ntwwxuner

Growth

9,6799,7119,6958 August 2026 — 9,690 subscribers8 August 2026 — 9,690 subscribers11 August 2026 — 9,679 subscribers18 August 2026 — 9,685 subscribers20 August 2026 — 9,689 subscribers24 August 2026 — 9,692 subscribers27 August 2026 — 9,702 subscribers30 August 2026 — 9,711 subscribers8 August 202630 August 2026
8 measurements spanning 22 days, net +21. 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 9,674–9,716 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 04:589,711+9
27 Aug 2026, 08:339,702+10
24 Aug 2026, 09:389,692+3
20 Aug 2026, 21:489,689+4
18 Aug 2026, 00:529,685+6
11 Aug 2026, 09:249,679-11
8 Aug 2026, 05:069,690no change
8 Aug 2026, 00:039,690first reading

Engagement

129 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 33 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.30%
avg views ÷ 9,711 subscribers
Avg views / post
806
129 posts measured
Reaction rate
0.153%
reactions ÷ views · ER floor
Posts in window
129
of 129 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 91 of 129 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 28 August 2026
Posts held129 (5 August 202628 August 2026)
Views total103,952
Reactions total123
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 05:30 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.

Reaction mix

123 reactions across 83 posts, in 3 distinct kinds. The most used accounts for 91.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11291.1%
👍97.32%
🔥21.63%

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 91 of the 129 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 123reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 129 most recent posts we hold, published 5 August 2026 to 28 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

28 Aug 2026, 13:57 UTC345 viewsread 29 August 2026
Photo

【时间】:2026-08-28 【老师】:伊伊 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9.5 【服务】:10 【态度】:10 【环境】:9 【综合】:9.43 【过程】:群里看到老师的图片很惊艳,主要🐻大,今天时间正好空着,立马约老师。在小区房,比较安全,老师服务态度也很好,胸确实很大

28 Aug 2026, 11:47 UTC473 views3 reactionsread 29 August 2026

【时间】:2026-08-28 【老师】:悦子 【留名】:嘉服-第一后羿第一哦-以上岸 【人照】:9 【颜值】:9 【身材】:10 【服务】:9 【态度】:10 【环境】:8 【综合】:9.29 【过程】:看到又有嫩妹开课,和老师约好时间,晚上我便迫不及待地赶过去。到了楼下和老师确认好楼层房间号,心跳着上楼,生怕是照骗。庆幸老师没有让我失望——推开门那一刻,映入眼帘的是瘦高、整容精致的睡衣美人,纤纤玉指配着长长美甲,轻轻一勾就让人挪不开眼。 老规矩,先抽一根烟,慢慢把气氛拉近。烟雾缭绕中,老师起身领我上楼。我走在后面,看着她睡衣下圆润的臀线,忍不住伸手从后面一把抱住,隔着薄薄的布料用力揉捏,掌心被那弹性与温度迅速点燃。 进到卧室,老师反手拉下睡衣肩带,露出粉嫩的肌肤。我们一起脱光,走进浴室。热水冲刷下,我从身后抱住她,双手滑过她平坦的小腹,一路向下探进腿间,隔着水流轻轻揉动她早已微微湿润的花心。她靠在我怀里,呼吸越来越乱。

3

28 Aug 2026, 08:00 UTC592 views2 reactionsread 29 August 2026
Photo

【时间】:2026-08-28 【老师】:洋洋 【留名】:XxYy 【人照】:9.8 【颜值】:9 【身材】:9.8 【服务】:9.5 【态度】:9.6 【环境】:9 【综合】:9.5 【过程】:最开始看到老师的时候在外地就一直在潜水,看了照片就觉 非常符合我的审美,再加上老师的性格我也是非常的喜欢,我就起了去找老师的想法,回来以后第一时间就联系老师上课了,到了老师楼下以后会指导怎么上楼,老师开门以后身材脸蛋就惊艳到我了,简直就是翩若惊鸿,婉若游龙,进门之后老师会贴心的把我拉到沙发上坐着跟我聊天,我又不是很会找话题聊天但是老师一点不会冷场拉着我让我有回家的感觉,聊了一会我就猴急的脱衣服和老师一起去洗澡,洗完澡以后老师会很贴心的给我擦水,老师之后换上了吊带战袍穿了我喜欢的黑丝,调情一会,我就把老师压到身下用我喜欢的方式来了,没多久我就给老师说想要进入战场,老师也主动把枕头垫到屁股下边为了更好迎合,蹭了几下都没进去老师还挺有耐心的,

2

28 Aug 2026, 00:05 UTC563 viewsread 29 August 2026

【时间】:2026-08-28 【老师】:猫咪 【留名】:SwaX 【人照】:9 【颜值】:8 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.43 【过程】:真18岁少女,很嫩,但是技术一点也不差,口得很舒服,后入还会下腰。服务态度非常好,很耐心,女友感十足,算是我在嘉兴碰到过最好的老师没有之一。希望妹妹可以在嘉兴一直开下去。

28 Aug 2026, 00:05 UTC547 viewsread 29 August 2026
Photo

【时间】:2026-08-28 【老师】:晚宁 【留名】:匿名 【人照】:8 【颜值】:9 【身材】:8 【服务】:10 【态度】:10 【环境】:9 【综合】:8.86 【过程】:进门后直接脱衣洗澡,然后帮你全身擦干净开始服务,毒龙没有齿感,时间非常长,小穴不是很松,暖暖的,各种姿势老师都是十分配合,第一次结束后休息过程中老师十分健谈不冷场,相处的很舒服,服务不催钟。前列腺按摩非常爽。

27 Aug 2026, 08:56 UTC826 viewsread 29 August 2026

【时间】:2026-08-27 【老师】:小佳 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:8 【综合】:8.86 【过程】:中了半价工兵去的,前一天没约上,第二天约了时间就赶过去了,老师有引导回复的也快没等这点好评,上楼开门见到老师,第一印象就是年轻个子高,声音嗲嗲的,有陪浴,上去之后老师有点羞涩,口的经验一般,问了一下入行没多久,整体还是可以的,属于水多多嫩妹,熊也比较大,屁股也比较大,喜欢高个子嫩妹的可以冲。

26 Aug 2026, 14:12 UTC789 viewsread 29 August 2026

【时间】:2026-08-26 【老师】:小佳 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9 【服务】:8 【态度】:9 【环境】:9 【综合】:9 【过程】:第一次写评价 出击不少年轻嫩妹,但是小佳妹妹真心喜欢呀,都不想写评价,藏起来不让人发现,奈何人家真就长在我审美上。刚入行 服务简单,口一般,简单🐍吻,我好这口,没得大蟒蛇,加上妹妹抽烟,嘴巴里有烟味,我也没太强求,叫床很有反馈,靠真就长我审美上了,做的时候不敢太用力 怕弄疼她。不多说这个价我觉得值,各有所爱了。迫不及待下次出击。

26 Aug 2026, 14:07 UTC730 views2 reactionsread 29 August 2026
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【时间】:2026-08-26 【老师】:洋洋 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:今天刚好有空,出击了洋洋,约课出发,位置很好找。进门唠几句就褪去衣物就开始洗澡,老师软软的手洗弟弟的时候直接顶起,便不老实地开始上下其手。洗完躺着老师开始服务,舌头软软的,很酥,口弟弟的时候实在太舒服了,口活一绝,差点不争气地就交代了,连忙喊停戴上小雨伞开始冲刺。老师下面挺紧,姿势都很配合,双腿夹腰,直接是作弊啊这小妖精,没一会儿就感觉要被秒了,再搭配上老师那酥酥的呻吟声,坚挺的最后直接交代了,整体体验很完美,下次还要继续冲

2

26 Aug 2026, 11:14 UTC680 views1 reactionsread 29 August 2026

【验证留名】:德鲁 【验证时间】:8.22 【妹子花名】:#猫咪 【联系方式】:电报 【所在位置】:南湖区 【修车水费】:1400pp 【身高身材】:164 【颜值相似】:10 【凶器罩杯】:一手握住 【服务内容】:陪浴,口,舔,亲咪咪,爱爱 【建议意见】: 多拍点性感的照片 【老师详情】: 第三次见猫咪了,过去许久,这次特意买了修女服,准备来点刺激的 这次的小区安全性比较高,准时到达课室,开门就是熟悉的笑容和声音,交了课费后便褪去衣服进浴室冲洗,在猫咪的抚摸下,二弟也是坚硬无比,迫不及待漱口去了课室,开始新项目舌吻,接着猫咪慢慢把嘴下移到咪咪,再到三角区,开始舔舐身下那早就硬的发烫的东西,同时还用眼神不时撩拨我,立马让戴上套,开始女上,传教士出货,休息了一会儿后,开始了长达十分钟的口交,二弟再次硬挺,开始传教士进入,顿时感觉不尽兴,于是把腿架到肩上,埋头开始苦干,看着在福福里一进一出,二弟也是愈加坚硬,这时拍拍猫咪的屁股,换

1

26 Aug 2026, 07:07 UTC≈1,060 views1 reactionsread 29 August 2026
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【时间】:2026-08-26 【老师】:悠悠 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:已经第三次来找悠悠了,还是一样的热情,进门就给抱抱,这么久不见悠悠的身材还是这么好,胸还是这么大。爱不释手,边摸边舔。今天暴雨也让我吃个够了。换了好几个姿势,悠悠依旧还是那么会夹,bb又烫又骚,太紧了哦。还要再来,还要再来,还要再来!!!

1

26 Aug 2026, 06:02 UTC654 viewsread 29 August 2026
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【时间】:2026-08-26 【老师】:晚宁 【留名】:簁簁 【人照】:9 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:9 【综合】:8.86 【过程】:第一次来老师这里 是服务型 老师很热情 上来就给我一个拥抱 先是去洗澡 洗好澡老师已经换好衣服了 躺在床上先给我来按摩了一下手法很好 然后是套莞式服务 重点来了 非常舒服的毒龙 蛋蛋吸的我很舒服 最后是口爆 老师舔的非常细致 舔着舔着就给你吸下蛋蛋 鸡吧吸的也很舒服 然后我坚持不住投降了(强烈推荐来体验 特别是喜欢服务系的)

25 Aug 2026, 08:39 UTC≈1,060 views2 reactionsread 29 August 2026

【时间】:2026-08-25 【老师】:洋洋 【留名】:啦啦啦 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:四刷洋洋了,本来上次约的pp,第二p不想做了就存在洋洋这里一次,这次来用掉(再次夸夸洋洋的善解人意,别的老师可没这么好说话) 熟门熟路找到课室,因为存过一次,所以不用交水费了,先洗澡,再选制服,我选的JK,挺可爱的。 跟洋洋也蛮熟的了,今天我决定来个反方向的钟,让洋洋躺好,先给她做A面服务,整得洋洋很痒,直呼求饶。然后是B面,细节不多描述了,做过服务系的都懂,给敏感的洋洋整得不要不要的,也是开发了一回新体验。 然后我站起来让洋洋给我口,我居高临下看着洋洋吃我的老二,很爽,洋洋也口得很卖力。感觉差不多了,戴上小雨伞,提枪上马,后入,传教士,侧入都试了一遍,最后在洋洋的淫叫中出货,非常满足! 这个月来洋洋这里

2

Showing the 12 most recent of 129 posts we hold for @ntwwxuner. 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 — 473,708 of 1,627,445entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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

“嘉兴✍🏻用户反馈中心” (@ntwwxuner), 9,711 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/ntwwxuner.

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.