快手博主金锁定制私拍裸舞紫薇合集! ps:该说不说,身材还是挺棒的😘 #金锁 #精神小妹 #热舞 #定制 #精神小妹的日常
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Channel
@jingshenzimei
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
157,064subscribers
+59,834 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002655861510 |
|---|---|
| Type | Channel |
| Username | @jingshenzimei |
| Description | 原创作者和门槛哥可领猪脚饭🍚 投稿分享你和精神小妹的爱情故事 投稿联系: @xiaozhangyabot |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/jingshenzimei |
Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 55% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 08:00 | 157,064 | +4,769 |
| 19 Sept 2026, 09:41 | 152,295 | +2,406 |
| 16 Sept 2026, 23:15 | 149,889 | +2,577 |
| 14 Sept 2026, 23:01 | 147,312 | +2,877 |
| 13 Sept 2026, 05:55 | 144,435 | +2,231 |
| 11 Sept 2026, 11:39 | 142,204 | +3,431 |
| 8 Sept 2026, 15:38 | 138,773 | +5,270 |
| 5 Sept 2026, 09:37 | 133,503 | +2,030 |
| 3 Sept 2026, 16:17 | 131,473 | +1,930 |
| 2 Sept 2026, 09:22 | 129,543 | +1,679 |
| 1 Sept 2026, 10:47 | 127,864 | +1,016 |
| 31 Aug 2026, 12:03 | 126,848 | +1,002 |
| 30 Aug 2026, 13:19 | 125,846 | +1,274 |
| 29 Aug 2026, 09:46 | 124,572 | +1,162 |
| 28 Aug 2026, 07:02 | 123,410 | +1,065 |
| 27 Aug 2026, 05:54 | 122,345 | +1,552 |
| 26 Aug 2026, 03:59 | 120,793 | +1,350 |
| 25 Aug 2026, 04:07 | 119,443 | +889 |
| 24 Aug 2026, 00:18 | 118,554 | +1,981 |
| 22 Aug 2026, 05:57 | 116,573 | first reading |
147 posts held, back to 4 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 108 pages of Telegram’s post history, 20 posts per page.
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 72 of 74 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 147 (4 August 2026 – 27 September 2026) |
| Views total | 2,306,870 |
| Reactions total | 6,220 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 21:10 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.
Lifetime counters from Telegram’s own channel header, read 27 September 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.
Measured directly from 44 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.
11,374 reactions across 145 posts, in 47 distinct kinds. The most used accounts for 36.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 4,170 | 36.7% | |
| ❤ | 3,899 | 34.3% | |
| 🤡 | 1,059 | 9.31% | |
| 💯 | 545 | 4.79% | |
| 💩 | 537 | 4.72% | |
| 🔥 | 430 | 3.78% | |
| 🤯 | 132 | 1.16% | |
| 👏 | 55 | 0.484% | |
| 🤮 | 43 | 0.378% | |
| 👎 | 41 | 0.36% | |
| 🥰 | 41 | 0.36% | |
| 🤓 | 39 | 0.343% | |
| ❤🔥 | 34 | 0.299% | |
| 🤣 | 29 | 0.255% | |
| 🎉 | 27 | 0.237% | |
| 🍓 | 26 | 0.229% | |
| 🤬 | 25 | 0.22% | |
| 🥴 | 23 | 0.202% | |
| 🌭 | 22 | 0.193% | |
| 👀 | 21 | 0.185% | |
| 27 further kinds | 176 | 1.55% |
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 145 of the 147 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 11,374 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 147 most recent posts we hold, published 4 August 2026 to 27 September 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @jingshenzimei. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 147 most recent posts we hold for this entry, published 4 August 2026 to 27 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
快手博主金锁定制私拍裸舞紫薇合集! ps:该说不说,身材还是挺棒的😘 #金锁 #精神小妹 #热舞 #定制 #精神小妹的日常
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答应你们的第二弹清纯大奶子精神小妹合集来了! ps:兄弟们,这大奶子真的硬控到我了,我是真心的爱了❤️ #贝贝呐 #精神小妹 #精神小妹的日常 #符文 #直播
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兄弟们,别生气刚回来就坐下更新了 本来今天过节应该陪妹子睡的,实在想你们只能回来完成任务了🥱 #镇长发言 #中秋快乐
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兄弟们,最近很多人求镇长找一下这个极品精神小妹,好像最少一个月之前我就在群里发过求助了❤️ ps:特意花了碎银几两去收的别人定制的内容 #身下娇 #精神小妹 #热舞 #裸舞精神小妹 #精神小妹的日常
❤273👍58💩20🤡12🔥8🌭7
直播录屏 全裸自玩 共计:161 GB (173,334,780,897 字节) 兼职直播福利姬:私拍画质差+不露脸,但是这个精神小妹还算玩的比较开放的把屁眼子都掰开给粉丝看个够🥰 ps:直播内容有独特的屁眼子风味,我觉着亮点应该算是下嘴唇了🤣 #精神小妹 #萝莉啾啾 #精神小妹的日常 #直播小妹 #双马尾
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杭州高颜值“运动援”蜜豆小姐姐和金主爸爸线下露脸做爱自拍! ps:兄弟们,这种身材的妹纸外面值不值个3000啊?😳😳 #杭州蜜豆 #符文少女 #精神小妹 #定制 #精神小妹的日常
🤡29❤27👍24🤮21💯9🔥8😈3
天然大奶精神小妹,露脸下海直播! ps:该说不说,现在的妹纸发育的很不错😂😂(点🤡满百更新第二弹) #精神小妹 #精神小妹的日常 #符文 #贝贝呐
🤡104❤33👍15🤯5🔥4✍3
Signed 镇长助理
兄弟们,摄影师私拍系列第二弹 ps:这期瑜伽裤系列,真心的有感觉,撸管十足😳 #精神小妹 #摄影师 #精神小妹的日常 #少女 #私拍
💩29❤16👍16🤡9💯3🤯3🔥2
Signed 路飞
兄弟们,超级纯正的精神小妹素人版一线天美穴 ps:这种质量500块你会买单吗? #精神小妹 #快手小妹 #精神小妹的日常 #符文纹身
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精神小妹系列 - 摄影篇 基本信息 显示名:Yumily / Emily / 艾米丽 账号:@Emily241816 粉丝:约 4 万左右(会随时间波动) 加入时间:约 2025 年 11 月 常驻/行程:多地(重庆、长沙、北京、广深、上海、厦门等有过相关动态) ps:兄弟们,推特发现了一个极品满背精神小妹,我是真心喜欢,专注内容以写真、人体艺术、健身房露出、擦边私房为主
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我根本不敢想象她们挨个撅着屁股跪在地上求我把精液射进去有多爽❤️ #模特 #模特小妹
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Signed 极搜🔍资源搜索@JISOU
#求购帖 兄弟们,养兵千日用兵一时 在线求购这个妹子的未流出或者更多资源,我已燃尽😭
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Showing the 12 most recent of 147 posts we hold for @jingshenzimei. 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.
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.
Named by 2 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.
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.
@jingshenzimei named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“精神小妹の日常” (@jingshenzimei), 157,064 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/jingshenzimei.
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.