Telegram RegisterThe public register of Telegram
Telegram profile photo for 野寻·上海作业评价

Channel

野寻·上海作业评价

@chasesh_zypj

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

7,690subscribers

+3,104 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002493269137
TypeChannel
Username@chasesh_zypj
Description👤 唯一管理: @chase_yx 🤖 作业投稿: @chaseshxc_bot ——————————— 上海野寻 · 群组目录 狼友大群: @chasesh_jlq 老师榜单: @chasesh_lsda 精选榜单: @chasesh_lsjx 报告榜单: @chasesh_zypj 榜单导航: @chasesh_bddh ❤️一键关注所有频道: https://t.me/addlist/jit97g7hXW0yN2Y0
CreatedBetween 1 October 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/chasesh_zypj

Topic

Adult — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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

4,49710,4297,4636 August 2026 — 4,586 subscribers7 August 2026 — 4,574 subscribers10 August 2026 — 4,497 subscribers13 August 2026 — 5,483 subscribers16 August 2026 — 5,469 subscribers20 August 2026 — 6,985 subscribers23 August 2026 — 7,963 subscribers26 August 2026 — 8,186 subscribers29 August 2026 — 8,664 subscribers1 September 2026 — 8,879 subscribers5 September 2026 — 8,909 subscribers10 September 2026 — 8,949 subscribers14 September 2026 — 8,794 subscribers19 September 2026 — 9,857 subscribers29 September 2026 — 10,429 subscribers5 October 2026 — 9,900 subscribers12 October 2026 — 9,299 subscribers15 October 2026 — 8,996 subscribers18 October 2026 — 8,751 subscribers21 October 2026 — 8,477 subscribers24 October 2026 — 8,081 subscribers27 October 2026 — 8,437 subscribers30 October 2026 — 8,036 subscribers3 November 2026 — 7,827 subscribers5 November 2026 — 7,690 subscribers7,6906 August 20265 November 2026
25 measurements spanning 91 days, net +3,104. 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 3,607–11,319 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
5 Nov 2026, 19:287,690-137
3 Nov 2026, 02:067,827-209
30 Oct 2026, 17:518,036-401
27 Oct 2026, 21:198,437+356
24 Oct 2026, 18:098,081-396
21 Oct 2026, 16:518,477-274
18 Oct 2026, 13:218,751-245
15 Oct 2026, 09:288,996-303
12 Oct 2026, 03:579,299-601
5 Oct 2026, 09:009,900-529
29 Sept 2026, 06:1910,429+572
19 Sept 2026, 14:599,857+1,063
14 Sept 2026, 17:588,794-155
10 Sept 2026, 23:598,949+40
5 Sept 2026, 17:388,909+30
1 Sept 2026, 20:088,879+215
29 Aug 2026, 11:258,664+478
26 Aug 2026, 13:348,186+223
23 Aug 2026, 15:247,963+978
20 Aug 2026, 01:246,985first reading

Engagement

102 posts held, back to 3 August 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 21 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.97%
avg views ÷ 7,690 subscribers
Avg views / post
228
51 posts measured
Reaction rate
0.396%
reactions ÷ views · ER floor
Posts in window
51
of 102 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 51 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 7 November 2026
Posts held102 (3 August 2026 – 7 November 2026)
Views total11,646
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 01:18 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
≈1,340
Videos
≈1
Links
≈690

Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3100.0%

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 102 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 102 most recent posts we hold, published 3 August 2026 to 7 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 51 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).

7 Nov 2026, 16:35 UTC166 viewsread 8 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:金元宝 👨🏻‍💻 留名:疼原拓海 颜值:9 环境:8 身材:8 态度:8 服务:8 人照:8 综合:8.17 💌 服务过程 : 优点缺点:纯正bbw,喜瘦的别去,老小区,但胜在交通方便 服务内容:ls约了时间,按时前往遥控上楼,科室在地铁站旁边的老小区民宿,隐蔽性还不错,开门后老师穿着超短裙,奶子目测应该有C,扎着丸子头可可爱爱,交完水费鸳鸯浴去了,细心帮洗后擦干上床,ls开始三点口,没有齿感很舒服,皮肤光滑,是我喜欢的bbw,细心的舔着二弟,吸吮蛋蛋,很爽的带t后开始女上,奶子晃的眼睛都花了,揉起来软绵绵的,换cjs后猛入元宝骚穴,叫完老公叫爸爸,侧入元宝开始尖叫,怒怼元宝的小穴,两片小阴唇裹住我的大几把,下面又紧又水多,抽插了大概10多分钟,元宝叫爸爸射她骚穴了,精液灌满了元宝的骚穴,一扒开看床单湿哒哒的,元宝喷水了,虽然不是很多,滴滴点点,意满离 🔗 老师资…

7 Nov 2026, 16:28 UTC56 viewsread 8 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:兮兮 👨🏻‍💻 留名:Jacob 颜值:9.5 环境:9 身材:9 态度:9.5 服务:9 人照:9 综合:9.17 💌 服务过程 : 错过了兮兮因为上个月她突然红休,这个月刚回来账号又被盗. 总算恢复了新号马上约了周六下午,工作室在静安沪太路附近,高层居民小区. 进门见兮兮人照9以上,样子好看的!个子至少170以上,皮肤偏黄. 和妹子聊天得知妹子北方人,但是说话没什么口音,标准的普通话,妹子以前学舞蹈的. 身上,房间里都没有烟味,所以没办法判断是否抽烟. 混熟了,两人脱了衣服一起去YYY,兮兮蛮瘦的,除了胸B-C,其他没啥肉,腿细长. 我是排骨比控,越瘦我越喜欢,摸着她胸在浴室里,妹子帮我前后洗完。 我去床上等她,给她换了我带的灰色手撕挖. 兮兮爬上床就大蟒蛇,舌尖有点冰爽感,很软很长。 吻够了就开始服务,三点口,舔的节奏很慢很细. 直到开始口含住我的牛子. 吃…

7 Nov 2026, 16:23 UTC194 viewsread 8 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:迪迪 👨🏻‍💻 留名:匿名 💌 服务过程 : 人照基本一致 真人可能大一点 东北人比较健谈 170大胸大屁股御姐 🐻不止C 又大又软 服务没有太多 姿势配合 反应真实 里面很热但不是很紧致 皮肤光滑 身材极品可惜有一点游泳圈 适合匈奴人出击 🔗 老师资料 :https://t.me/chasesh_lsda/5790

7 Nov 2026, 16:14 UTC46 viewsread 8 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:小米酱 👨🏻‍💻 留名:klaus 💌 服务过程 : 这次约到小米老师,整体体验可以说是相当舒服。小米老师主打小课,待人的热情且细致。整个过程始终保持着很好的互动感,不会让人觉得生分,也不会有刻意营业的距离感。无论是言语上的关心,还是相处时的情绪照顾,都恰到好处。她很懂得如何营造氛围,让人能够放下平日里的疲惫,安心享受这段属于自己的时光。小米老师的服务非常卖力,在整个过程中,让你体会到欲仙欲死的感觉。总体而言,非常推荐。 🔗 老师资料 :https://t.me/chasesh_lsda/4817

7 Nov 2026, 15:57 UTC162 viewsread 8 November 2026
Photo

♡ 星野严选 ♡ ⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:豆豆 👨🏻‍💻 留名:FENGZHENG 💌 服务过程 : 今天中了豆豆的优惠券,看过老师的车评,挺有意思的评价挺高的,所以忙完后就立刻过去出击。老师在闵行一个小区里面,有点偏僻,这可能是很多狼友错过的原因。刚见老师特别高挑漂亮的小姐姐,递水递拖鞋,略施粉黛。交完水费以后,老师过去放水了,水热以后就开始一起共浴 ,老师洗的很认真,途中有水中萧、胸推和臀推,每次服务的时候眼神看着你,下面越来越涨,我手摸着老师的胸,极品胸饱满挺,最后洗干净老师帮忙擦干。到床上老师让我挑选一套丝袜制服,平常黑丝看多了就选了一身水手服加白丝。我先躺下老师开始服务,从主动的舌吻开始一路往下,舔的很认真,尤其口的时候一直盯着你,女友感十足。口的差不多了就换我开始服务也是从上到下,舌吻的时候老师很配合,亲🐻的时候极品胸很好看好吃,下面是人工白虎,粉粉的花瓣很好看,吃的时候…

7 Nov 2026, 12:55 UTC226 viewsread 8 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:小优酱紫 👨🏻‍💻 留名:123瞬移(防炸板)꧁꧂ 💌 服务过程 : 颜值非常高很好看!直接无脑约课见真人吧-只要看到真人样子再听到优酱声音没有一个狼友会转头飘逸的! 硬件上:优酱167大长腿穿着时髦黑色短裙下露着两条大白腿看着就很有欲望皮肤不算冷白皮不过也相对白皙干净-手足白嫩柔软-梨型身材下半身屁股大软后入最佳。胸胸a+乳头稍大颜色粉嫩-有抽细烟,自我很注重味道事前事后都会刷牙加漱口毫无异味!没有一处纹身;声音特别嗲像林志玲听妹妹说话声音就能沉醉! 有陪洗陪浴很用心的擦拭态度上极其好!我站立她也会起身客人站着自己坐沙发会不好意思-各方面待客如贵宾-自聊老师进门会邀坐沙发聊天喝水排课时间也宽松。 软件上:舌吻给得充足会有搅拌缠绕称不上大蟒蛇但很柔情缠绵-口活时间久正常三点口舔胸时间有够久的,舌头柔软深喉做得很舒服舔蛋蛋吃手指都会-房间内有镜子可以要求对着镜子…

7 Nov 2026, 07:06 UTC74 viewsread 8 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:神的宠儿 👨🏻‍💻 留名:Marmeradorf 💌 服务过程 : 老师人态度很好,闺蜜刚来上海体验了下双飞,因为个人能力有限,酷酷123结束了😭,有机会下次再战的,服务确实都还不错的啊,这个价格性价比还是可以的啊 🔗 老师资料 :https://t.me/chasesh_lsda/5610

7 Nov 2026, 06:40 UTC199 viewsread 8 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:思彤 👨🏻‍💻 留名:你的奶龙 💌 服务过程 : 老师换了个小区,小区好大多花了些时间,怕我找不到,老师还下楼接我,问了老师原来是自聊的,难怪服务意识比较好,房间环境比较好,很干净,洗了鸳鸯浴,然后聊聊天,老师也很配合,什么姿势都可以,主要是老师会聊天,不是木头人,出击最满意的一次,评分相比会偏高一些,不要介意,推荐! 🔗 老师资料 :https://t.me/chasesh_lsda/5520

7 Nov 2026, 06:38 UTC178 viewsread 8 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:安溪 👨🏻‍💻 留名:你的奶龙 💌 服务过程 : 很早就刷到群友推荐安溪老师,老师自聊无中介,见面老师裹着个浴袍躲在门后开门,洗好擦干来到床上老师已在等候,躺了会儿继续,老师的肉很紧实没啥赘肉,有些许纹身,但不影响美观,摸了摸老师的酥胸,立马有了反应,老师翻身开始给我口,一口直接深喉,好爽,我示意让老师骑上来69,好粉嫩的小穴,舔了舔毫无异味老师超级敏感。老师时而深喉,时而吮吸蛋蛋,我表示受不了,赶紧带t干活。 先让老师骑上来,好湿好烫。我问老师时不时能喷水,老师说可以,但要看你的技术,于是我奋力开干,老师全程说着骚话,女上抱着屁股顶了好久。换了cjs,抓着奶子压着腿狠狠的顶到底,有快出的感觉让老师换后入,没想到这个姿势老师更紧,大屁股夹的完全受不了,在老师的骚浪声中最后出货了。 遗憾:没有让老师喷,但确实又紧又水好多,只选了p,意犹未尽应该pp的…

7 Nov 2026, 06:35 UTC58 viewsread 8 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:安溪 👨🏻‍💻 留名:匿名 💌 服务过程 : 非常满意的一次出击,老师服务的很好很周到 🔗 老师资料 :https://t.me/chasesh_lsda/5426

7 Nov 2026, 06:30 UTC78 viewsread 7 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:晴儿 👨🏻‍💻 留名:小疯子 💌 服务过程 : 群主群里吆喝了,还给了优惠,果断出击当天就和老师约课了,老师开课地址换到更安全的地方,到小区顺利进房间,和老师在门口碰到了,老师身材还是一如既往的好,皮肤光滑白白,这次妆容更精致,小脸妹子。浴室小没有要求陪洗,洗好后,我坐在沙发上,老师就帮我先口了起来,后面才躺上床,老师服务标准三点口,老师的口活非常好,帮我口了漫长时间,老师下面是人工白虎,一模就有水了。老师腰细屁股大,胸B,下面妹妹的户型很好,一线天户型口了好久,没有异味,老师反馈也很配合,蛇吻管饱,而且非常主动,69也是非常配合。后面戴上口罩,起手女上前后姿势,差点帮我摇出来。后面马上换姿势,CJS,再换到后入老师腰臀比真是太美 了,最后后入忍不住出货了。总体感觉很非常好,有机会一定会复刷。整体水平可以给到夯,没有弱点。 🔗 老师资料 :https://t.m…

7 Nov 2026, 06:26 UTC57 viewsread 7 November 2026
Photo

⌚️ 评价时间:2026-11-07 👩🏻‍🎓 服务老师:曼曼 👨🏻‍💻 留名:林一 💌 服务过程 : 和老师约了11月6号的课,之前在购物车已经好久了,看到有优惠直接出击,老师属于白幼瘦的萝莉身材,很中我的×p啊,全程聊天,态度热情,课表上的服务都有,刚进门先是yyy,随后帮口,口硬了直接开干,老师水水很多,屁屁包裹感强,淫叫不断,在sw中就中出了,第二发状态不佳,让老师帮忙手冲了,总之整体体验下来可以给到一个夯❤️ 🔗 老师资料 :https://t.me/chasesh_lsda/5484

Showing the 12 most recent of 102 posts we hold for @chasesh_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.

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 15 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.

Names

Channels on the register whose handles appear in this channel's posts.

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·上海作业评价” (@chasesh_zypj), 7,690 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/chasesh_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.