♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-09 👩🏻🎓 服务老师:沈佳音 👨🏻💻 留名:匿名 颜值:8.5 环境:9 身材:8.5 态度:9 服务:8 人照:8.5 综合:8.58 💌 服务过程 : 和老师提前约好时间之后,遥控上楼,老师的小区有门禁,单元门也有,这点不太好。 进门之后给拿了双拖鞋。看了下老师,人照相似度8分,真人很瘦很瘦,瘦到什么地步?腿还没我胳膊粗,真正的筷子腿。特别很小一只,然后老师问选什么服装,阳台上有很多种,选了个喜欢的后,老师先去房间里了,我独自去洗浴,没有陪浴环节,洗好之后进入房间换好衣服,开始a面服务,老师是刚开始做,口活一般,正面服务也一般,但是整体态度很好。 🔗 老师资料 :https://t.me/chasenj_lsda/2125

Channel
野寻·南京作业评价
@chasenj_zypj
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
7,049subscribers
+2,012 since we began measuring on 30 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002264048272 |
|---|---|
| Type | Channel |
| Username | @chasenj_zypj |
| Description | 👤 唯一管理:@chase_zn_bot 🤖 作业投稿: @chasenjxc_bot ——————————— ☘️ 野寻 • 榜单结构: https://t.me/nj_ooxx/1282 |
| Created | 11 June 2025 — measured — dated from the channel’s first post |
| First recorded | 30 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/chasenj_zypj |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 14 September 2026 and assigned it the closest of 31 fixed categories, at 73% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 21:30 | 7,049 | +32 |
| 2 Nov 2026, 11:49 | 7,017 | +543 |
| 30 Oct 2026, 09:49 | 6,474 | +442 |
| 27 Oct 2026, 03:51 | 6,032 | -231 |
| 24 Oct 2026, 09:45 | 6,263 | -282 |
| 21 Oct 2026, 15:44 | 6,545 | -193 |
| 18 Oct 2026, 09:37 | 6,738 | +304 |
| 15 Oct 2026, 06:19 | 6,434 | +849 |
| 12 Oct 2026, 12:20 | 5,585 | +1,675 |
| 5 Oct 2026, 15:20 | 3,910 | -1,090 |
| 27 Sept 2026, 23:36 | 5,000 | -622 |
| 18 Sept 2026, 18:37 | 5,622 | +510 |
| 14 Sept 2026, 09:37 | 5,112 | +28 |
| 10 Sept 2026, 20:41 | 5,084 | +28 |
| 6 Sept 2026, 05:57 | 5,056 | +18 |
| 1 Sept 2026, 21:25 | 5,038 | +1 |
| 30 Aug 2026, 01:15 | 5,037 | no change |
| 30 Aug 2026, 01:00 | 5,037 | first reading |
Engagement
30 posts held, back to 11 June 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 13 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.55%
- avg views ÷ 7,049 subscribers
- Avg views / post
- 180
- 27 posts measured
- Reaction rate
- 0.392%
- reactions ÷ views · ER floor
- Posts in window
- 27
- of 30 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 4 of 27 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 30 (11 June 2025 – 8 November 2026) |
| Views total | 4,862 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 00:08 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
- 245
- Videos
- 6
- Links
- 126
Lifetime counters from Telegram’s own channel header, read 9 November 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
- 6s
- Average length
- 6s
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
3 reactions across 3 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 4 of the 30 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 11 June 2025 to 8 November 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
Telegram’s own ‘edited’ marker: 0 of 27 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-08 👩🏻🎓 服务老师:苍井空 AV女优 👨🏻💻 留名:起飞芜湖 颜值:8.5 环境:8.5 身材:9 态度:10 服务:9.8 人照:9.2 综合:9.17 💌 服务过程 : 周末下雨,闲来无事选择出击。遥控到地略尴尬走错楼了,得亏没敲门的习惯。找到位置,老师穿着性感,显示给个拥抱,小聊一会儿,脱衣共浴,老师来了波小服务,后续开始正式服务,选的一小时,先女上加传教输出一波,后老师重新洗漱开始服务,不愧是服务系老师,小舌头舔的很舒服,课表上该有的都整了,后续老师换了衣服开整第二发,第一发发射了,所以第二发有点久,交换好几种姿势老师也没催啥的,反而很享受。一波猛攻双双累瘫,老师说累了腿都合不上,休息一会儿再去洗澡,聊了一会儿天,洗澡结束。 🔗 老师资料 :https://t.me/chasenj_lsda/1991
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-08 👩🏻🎓 服务老师:冰冰 👨🏻💻 留名:匿名 颜值:7 环境:8 身材:9 态度:10 服务:9 人照:7 综合:8.33 💌 服务过程 : 久仰冰老师大名,今日一见不枉此行。作为服务系老师,简直挑不出毛病。门外狂风呼啸,门内鱼水之欢。进门先看脸,属于较小耐看型。老师很热情的迎接,放水拿鞋。 随后洗浴陪浴,有一次性牙刷。洗漱干净后来到课室,我要求开灯,老师说开灯影响她发挥,于是就用一盏小夜灯开始上课。不愧为服务系老师,手法流程一绝让人挑不出毛病。指滑游走,俩颗樱桃在身上漫游,随后到胯下,我一激灵,缓缓的冒出了头。 翻身到A面,大蟒蛇起手,索取着吸吮着。接着是奶头然后到二弟。温暖的嘴唇包裹着俩颗蛋,傲立的Jb挺在老师脸上,一口吞下,舌头在里面打转,隐隐有想射精之式。 带上小雨伞,女上坐上了,老师女上非常有劲,前后扭动感觉要被缴械了,随后将老师放到,挺着屁股看鸡与鲍…
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-07 👩🏻🎓 服务老师:苍井空 AV女优 👨🏻💻 留名:AndreaMiller 颜值:7.5 环境:8.5 身材:8 态度:9 服务:9 人照:8.5 综合:8.42 💌 服务过程 : 老师是服务系的,价格也要的不高,所以原本对颜值不报太高期待。但是见到老师后本人比照片漂亮,身材也不错,不胖。老师自己还很谦虚,说化妆的功劳。 老师会帮洗,聊天的声音很好听,加分,老师说之前做过声音主播。 洗完擦干,老师蹲着就先口,我特别喜欢这个环节。毫无齿感,而且很滑,有点无套进入的感觉。 然后上床,我选的是1小时pp,所以先来一次。老师口一会先是女上,然后传教士出。之后开始BA面服务。做的也挺舒服的。 第二次,让老师穿上ol制服,在镜子前站着后入。这个视角下,老师更迷人了。以后再转战到床上传教士。可惜体力不支,1小时第二p没出来,让老师用手搞出来,清空弹夹。 老师态度温柔,说话好…
❤1
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-07 👩🏻🎓 服务老师:锦汐 👨🏻💻 留名:老杨 颜值:8 环境:9 身材:8.5 态度:9.5 服务:9 人照:8.5 综合:8.75 💌 服务过程 : 晚上约好后到达小区,老师住在小区里面,环境不错,楼下没有门禁,安全性很好。 进门老师穿着粉色小裙子,一副良家少妇打扮。脱光后去洗澡,老师很自觉当然进来陪浴,而且在浴室里主动吹箫,体验了一把水中箫。 洗干净后到床上 ,都是一次性用品,看的出来老师很爱干净。显示趴着简单按摩指滑,正面重点服务GG和蛋蛋,口活不错 而且下面很敏感,摸一会就出水了。 戴上TT后直接女上 ,感觉GG很快就顶到子宫颈了,妹子也是娇喘不停差点忍不住。赶快换传教士,在很快就在小穴的阵阵收缩中顺利发射。事后清理才发现妹子用的竟然是螺纹套,确实很牛掰 🔗 老师资料 :https://t.me/chasenj_lsda/2044
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-06 👩🏻🎓 服务老师:水水 👨🏻💻 留名:金陵探花郎(lucky日,日lucky) 颜值:7.8 环境:8.2 身材:8.2 态度:9.1 服务:7.5 人照:8.2 综合:8.17 💌 服务过程 : “老公,回来啦”,水水眉目含情,面带笑意,我俩活脱脱像是小别后的夫妻。水水裸体背对我,坐在沙发上镜前化妆。体态匀停,双腿圆润修长,骨肉生的恰到好处,阳光透过窗帘落在她身上,覆在莹白的肌肤上,浸出一层柔和的浅黄。我静静看着,只觉她很美,心底不起半分杂念。 陪浴过程指导胸滑,水中萧,配合度高,不过分热情,但也能做到情绪价值充足。做爱让我见识到水水另一面,在我身上驰骋,媚态十足,眼中满是欲望,咬着嘴唇,欲求不满的看着我。在一声声的娇喘,和老公我要的哀求中,我最终还是给了她。 🔗 老师资料 :https://t.me/chasenj_lsda/1972
❤1
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-06 👩🏻🎓 服务老师:苍井空 AV女优 👨🏻💻 留名:匿名 颜值:8 环境:9 身材:7.5 态度:10 服务:9.5 人照:8 综合:8.67 💌 服务过程 : 课室位于小区,老师遥控指挥上楼。进门老师化着精致的妆容,声音非常好听,虽然有一定的年纪了,但是服务态度非常好,主动递上拖鞋浴巾,一起进了浴室。仔细的擦洗,然后令人感到惊喜的是,老师直接在浴室里来了个水中箫,还有乳滑。实在是太爽了,弟弟立马起立。然后回到战斗室,先B面,老师从上亲到小腿,然后开始亲蛋蛋,毒龙,哇,就感觉好痒,但真的爽。然后在A面,69,戴套准备大战三百回合,但万万没想到老师女上功夫了得,直接被123了。然后小憩一会,再次一起浴室冲洗。期间老师很会找话题聊天不冷场,是非常难忘的一次CJ。追求服务的兄弟冲冲冲 🔗 老师资料 :https://t.me/chasenj_lsda/1991
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-05 👩🏻🎓 服务老师:苍井空 AV女优 👨🏻💻 留名:旺仔牛奶 颜值:8 环境:9 身材:8 态度:10 服务:10 人照:8 综合:8.83 💌 服务过程 : 中奖我都不知道,爬楼才发现中奖了,立马联系了老师,老师立马回复了,还是让我兑现了,白天联系老师约好时间,一下班就出击了。 老师的位置很好找,找到直接上楼,老师的门半掩着直接进去就行,一眼瞅上去,我去值了,老师贴心的让我进房间先暖和一下,因为外面刮风下雨还挺冷的,进去了和老师聊了几分钟就开始脱衣服洗澡了,老师房间收拾很干净不乱,心情很愉悦。老师贴心的已经把水放好等我,鸳鸯浴洗起来,第一次鸳鸯浴感觉特别棒,前后洗的很干净,帮我擦干。 我先是趴着老师服务B面胸推漫游,哇,老师的舌头尖尖的,唔太舒服了,慢慢的划着我眼睛都要翻白眼🙄了,哈哈哈。老师的毒龙口技真的真的,一直往里顶,感觉都要绽放了😁😁😁。 来到A面,直…
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-05 👩🏻🎓 服务老师:艺馨 👨🏻💻 留名:匿名 颜值:7 环境:8 身材:8 态度:9 服务:9 人照:9 综合:8.33 💌 服务过程 : 进门先看脸,耐看,嘘寒问暖后,我光速脱衣,帮忙洗浴(没有陪浴没有水中萧)然后闪现到床上开始正戏 。先是背面放松,奈何小狼出击次数较少,还是有点放不开,一套诱惑也不能动摇我的意志,二弟如同泄气一般,无法挺立。 翻到正面,骚话连篇,口的技术很好,无齿感,喜欢口的狼友可以让多口会邪火终于不受控制,向二弟汇聚,昂首挺胸,“怎么这么大”老师夸了夸,吃我吃的起劲,我也不甘示弱,反舔起了老师,咸咸的,俩瓣蝴蝶大小不一,户型不算好看,毛毛扎嘴,里面湿湿的,老师翻身带套,一屁股做下去,不停的舌我,想把我吃了一样,有点小窒息。 在前后夹击的攻势下,一不小心,不争气的冒水了,有点小伤心,没有尝试更多姿势就被打败了...我恨我自己..来了个事后萧,…
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-05 👩🏻🎓 服务老师:艺馨 👨🏻💻 留名:AndreaMiller 颜值:8 环境:8 身材:8 态度:8 服务:8 人照:8 综合:8 💌 服务过程 : 见到老师本人,颜值比视频好看,也更年轻。个子算高,身材还不错。穿着情趣低胸包臀裙,情不自禁手抓上去,很软,原装真胸。老师给了个拥抱就去洗澡了。 老师会帮洗,但是没有期待的水中萧,有点小遗憾。 上床开始服务,先B面,老师皮肤很滑,做服务的时候很爽,手也会时不时挑逗小弟。老师的舌头很厉害,过水舔的很滑很舒服。 另外,老师是真舌毒龙,做的时候手会照顾小弟,很爽。我说不做毒龙,老师主动推荐让我试一下,这点很加分。 正面老师亲耳朵,我最爱这个环节,很酥麻。然后舔胸。口的时候,老师去客厅取了镜子,我站着口,不过镜子有点小,位置关系看不到啥。我手一直摸老师的乳头,能感觉到老师乳头有点硬了,不知道老师爽不爽。 进入正题,先是女…
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-05 👩🏻🎓 服务老师:奈奈 👨🏻💻 留名:匿名 颜值:8 环境:7 身材:8 态度:9 服务:8 人照:7 综合:7.83 💌 服务过程 : 到了地方,妹子遥控上楼,应该是妹子自己住的出租屋,大概二三十平,老师瘦瘦小小的,皮肤略黑,聊天说是才开始做这个,确实在接触时比较紧张,列表上写的服务基本都有,但是口活稍微有点齿感,也不是很熟练,做的时候妹子怕痒,敏感,舔两下就浑身发抖,下面很紧,但是本人出货时间有点长,妹子也没有催钟,态度很好。 只是乖巧的女生,粉嫩的乳头和昏暗狭小的出租屋,容易让人想起多年前的某个未曾兑现的诺言。 🔗 老师资料 :https://t.me/chasenj_lsda/2072
♡ 芷宁严选 ♡ ⌚️ 评价时间:2026-11-05 👩🏻🎓 服务老师:月月 👨🏻💻 留名:匿名 颜值:8.5 环境:9 身材:8 态度:8 服务:7 人照:8 综合:8.08 💌 服务过程 : 中了老师的半价券,直接和老师约了2个小时后的课,遥控上楼 小区看着很安全,进门看到老师,很年轻,160+,偏瘦,身材不错。 然后老师来帮洗了一下,上床正面服务都有,略简单。老师口活还不错。下面虽然说是人工白虎,但是好像是不是刮的那种人工, 服务过后换了好几个姿势,老师都很配合,老师有水,那声音还是悦耳的,其他不表。总体评价,妹子是个好妹子,人也不错,如果原价6的话,略高吧。个人意见。 🔗 老师资料 :https://t.me/chasenj_lsda/1984
Showing the 12 most recent of 30 posts we hold for @chasenj_zypj. 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.
Posts recorded as deleted after publishing
We recorded 3 posts on @chasenj_zypj as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 7 November 2026
- Most recent seen missing
- 8 November 2026
- Median time before seen missing
- 41 hours
- Seen missing in the last 30 days
- 3
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.
Mentions
Named by 9 registered channels — 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.
@chasenj_lsda · 8,33419 posts野寻·南京活动公告
@chasenj_hdgg · 7,26810 posts野寻·南京小喇叭
@chasenj_xlb · 1,1763 postsLotteryBest抽奖导航
@lotterynav · 193,7712 posts野寻·南京包养档案
@chasenj_byda · 9871 post野寻·南京精选档案
@chasenj_lsjx · 6,8181 post野寻·南京商家档案
@chasenj_sjda · 1,0101 post野寻·南京外围档案
@chasenj_wwda · 1,0831 post野寻·南京官方入口
@nj_ooxx · 1,1171 post
Names
Channels on the register whose handles appear in this channel's posts.
@chasenj_lsda · 8,33430 posts野寻·南京活动公告
@chasenj_hdgg · 7,2682 posts野寻·南京学生交流群
@chasenj_jlq · 20,7622 postsLotteryBest Bot
@LotteryBestBot · 112,0672 posts野寻·南京榜单导航
@chasenj_bddh · 1,2411 post野寻·南京包养档案
@chasenj_byda · 9871 post野寻·南京精选档案
@chasenj_lsjx · 6,8181 post野寻·南京商家档案
@chasenj_sjda · 1,0101 post野寻·南京打卡通告群
@chasenj_tgq · 19,3541 post野寻·南京外围档案
@chasenj_wwda · 1,0831 post野寻·南京小喇叭
@chasenj_xlb · 1,1761 postLotteryBest抽奖导航
@lotterynav · 193,7711 post野寻·南京官方入口
@nj_ooxx · 1,1171 post"野寻公告"
@ooxxdh · 5,9411 post
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“野寻·南京作业评价” (@chasenj_zypj), 7,049 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/chasenj_zypj.
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.