Channel
@JNNPLM4
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
16subscribers
+0 since we began measuring on 5 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003762936966 |
|---|---|
| Type | Channel |
| Username | @JNNPLM4 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 5 October 2026 |
| Last confirmed live | 5 October 2026 |
| Measurements held | 2 |
| On Telegram | t.me/JNNPLM4 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Oct 2026, 19:22 | 16 | no change |
| 5 Oct 2026, 18:47 | 16 | first reading |
10 posts held, back to 12 September 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 1 page 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 2 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 October 2026 |
|---|---|
| Posts held | 10 (12 September 2026 – 4 October 2026) |
| Views total | 2,207 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Oct 2026, 19:22 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 5 October 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 2 of the 10 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 12 September 2026 to 4 October 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.
【时间】：10.3 【女仆名称】：🍭珠珠 【留名】：可乐 【人照】：8 【颜值】：9 【身材】：9 【服务】：9 【态度】：10 【过程】：珠珠的长相非常精致 侧脸有点张雨绮的味道 她说别人说她和博主阿紫有点像 回去搜了搜好像是有点，妹妹的身材是偏丰满一些 珠珠帮我随便挑了个电影，我们一起躺着，因为是小白不知道该怎么玩，珠珠主动抓着我的手引导我摸胸，随着气氛升温，和珠珠🐍了起来，珠珠说自己其实有点m在身上，让我可以粗暴一些，我一听懂了，掐着她的脖子一边🐍一边揉捏她的酥胸，啊真软 我的手逐渐向下，虽然隔着内裤，但是能感觉到下面又湿又热，我加快手上的频率，珠珠也愈发动情的哼着 课表上的服务全部体验了一番，确实是和平时p的感觉不一样，调情还是有意思啊
【时间】：9.30 【女仆名称】：🥰小可 【留名】：可乐 【人照】：10 【颜值】：9 【身材】：10 【服务】：9.5 【态度】：10 【过程】：颜值是我喜欢的类型，声音甜美妹妹有肉但是不胖，本人足腿控腿是真的长 脚也好看车厘子更是锦上添花 本人线下略为腼腆闷骚，妹妹应该也是看出来了直接拉我的手抱住她我顺势把手放在她的胸上奶相对来讲不是很大当时很好rua 葡萄小小的好吃！ 很大一部分时间都是妹妹主动带我进行，相处起来让人安心 稍微熟悉后妹妹不断调戏我让我叫妈妈 坏女人不过我喜欢 尺度可以课表有的都会做，可惜明天要早起要不然真得加钟喜欢腿的兄弟无脑冲就好 第一次写评价大家凑合看
【时间】：9.29 【女仆名称】：❤️瑞瑞 【留名】：某lp 【人照】：7 【颜值】：7 【身材】：9 【服务】：10 【态度】：10 【过程】：不是第一次见了，所以这次聊的比较深入了，她学过一些中医，但是其实梦想是当老师，我大为惊讶，瑞瑞的梦想居然是教书育人，随后又零零碎碎聊了一些，开始进入正题。 前戏不表了，感兴趣的可以看上一篇，那里是初遇升温篇。 嘴上🐍个没停，感觉到瑞瑞开始娇哼，手开始往下探，果然隔着裤裤已经能感觉到敏感瑞瑞开始出水了。手上动作不断加快，🐍的幅度也越来越大，瑞瑞也越来越进入状态，疯狂的抱紧我给予回应。这时想到刚刚的聊天，突然坏点子生成中...... “瑞瑞老师，没想到你这么骚呀瑞瑞老师“ 听到“老师”两个字，瑞瑞🐍上显然顿了一下，但是我能感受到下面却更湿润了，反馈几乎是实时的。 有效！ 于是我继续道，“平时假装正经给学生上课，背地里其实是被学生家长玩到高潮的骚老师，是吧瑞瑞老师？” “是...我是骚老师…
【时间】：9.24 【女仆名称】：🥰小可 【留名】：哎呦喂 【人照】：9 【颜值】：9 【身材】：9 【服务】：8 【态度】：9 【过程】： 黄文不咋会写，就写6艺 女仆六艺： 颜、奶、腿、蛇、聊、度 颜值不过多说，自行体验基本上差不多，些许美颜正常 奶很软很好rua，葡萄小小只很好捏很嫩，很好吃 腿更不必说，大长腿占满我的眼睛，细节美甲做的也很好看 🐍的话很配合虽然不是主动进攻型偶尔也会有小惊喜，🐍也会偶尔睁眼睛扑闪扑闪的，由于是本人最喜欢的环节，占用时长比较大，妹子给我亲的有点蒙，慵懒的感觉也让我很喜欢 聊天嘛就是18岁小女孩的感觉，这方面无感感觉交流也没有很多 尺度上的话，课表上的试过了都可以，其他的等后面老哥去试 顺便提一嘴不是排骨妹有点肉但是身材匀称的，各方面rua起来都很爽 该说不说腿是真长
【时间】：9.20 【女仆名称】：🤩布丁 【留名】：某lp 【人照】：8 【颜值】：8 【身材】：8 【服务】：8 【态度】：8 【过程】：见面的时候，她梳着双马尾，可可爱爱，像个小娃娃。 她靠在我身上，表情认真，眼睛有光。我说句实话，经历过的很多女仆都带着一种精神小妹气质，但是布丁完全没有，她带着真正的大学生才有的书卷气。真的很像我上大学时候真实的学妹。我一边回答她的问题，一边隐隐有种满足感——多吃几年饭不就是用来这个时候装逼的？ 聊到后来，气氛慢慢静下来。我聊起前任。她的语气并不沉重，却带着明显的不解和疑惑。她说分手的原因到现在都模糊，有时觉得是他不够认真，有时又觉得是自己不够懂他。唯一还记得很清楚的，是他真的很会亲。我看着她，问：那你有学到一些吗？她愣了一下。我笑笑说：那现在就把我当成他试一下吧。 我靠过去的时候，她闭上了眼睛。 吻一开始很浅。唇瓣只是轻轻贴着，带着一点试探。我没有急着深入，缓慢地碰到她的🐍尖。触感很软，…
❤1
【时间】：9.16 【女仆名称】：❤️瑞瑞 【留名】：某lp 【人照】：7（当天没化妆） 【颜值】：7 【身材】：9 【服务】：10 【态度】：10 【过程】：推门进去瑞瑞就坐在床上，微胖但不会臃肿，看上去就软软的很好rua。 本人还在想怎么破冰，没想到刚坐下她就侧身靠过来，用大腿轻轻摩擦我的腿。我其实比较i，但是她的主动让气氛瞬间暧昧，完全没有冷场。手指不知不觉缠在一起，吻是她先凑过来的，从唇角轻轻碰一下，慢慢加深。我也是见多了风雨的人，岂能让她一直掌握主动，我反手抱住她的脸回应以更加热烈的吻。本人的手也开始不老实，顺着领口滑进去，她没有躲开，反而主动把🐻掏出来——对，是掏，因为真的大，掏出来以后往我掌心里送，扔头很快就开始挺立起来，稍微揉捏一下她就会喘出声。 感觉她整个人都很敏感，才到这步就开始时不时颤抖一下。见状我更不能放过她了，手顺势往下探索，我还在担心接受度的问题，她却主动把腿分得更开一些，妙！此时知道瑞瑞已经动情了…
【时间】：9.18 【女仆名称】：🤩布丁 【留名】：朴老 【人照】：8 【颜值】：8 【身材】：8 【服务】：9 【态度】：9 【过程】： 新人到岗第一天，本人亲自测评。妹妹萝莉型，看到是时候穿着JK，粉粉嫩嫩，相当可爱，超级软萌。当即吧妹妹搂进怀里，妹妹身上的味道想到好闻，带有少女的体香，交流后发现妹妹是南京本地人，而且现在在工业大学读书，只有下课后可以来兼职，之前谈过一个男朋友也就只是牵牵手。如同发现宝藏，我娴熟的用舌头撬开女孩子的小嘴，吮吸起来，很香很软很甜。完全不一样的体验感。妹妹刚来，有点局促有点紧张，我慢慢引导妹妹进入状态，妹妹也是很听话相当配合，吃完嘴子开始吃柰子，也是甜甜的。相当过瘾。本人硕士毕业，妹妹也会在聊天的过程中求教一些学术问题，我一边解答一边撩拨妹妹，体验感拉满。这种小萝莉就要抱在怀里，好好逗弄把玩。过程非常愉悦。
【时间】：9.1号到15号中间好几次 【女仆名称】：❤️瑞瑞 【留名】：优 【人照】：7 【颜值】：8 【身材】：10（略微带有主观色彩，因为我喜欢微胖的） 【服务】：9 【态度】：9 【过程】：初见瑞瑞的时候是在南站店，朴老板带我进了房间瑞瑞已经在房间等待了，她那天穿的是什么我已经记不清了，我对她的记忆永远停留在那柔软白嫩丰满的身体带给我的强烈触觉刺激，房间里只剩下我们两个，我拿出手机，连接上了电视的网易云，开始播放我的调情歌单，瑞瑞邀请我上床躺下，我说不，我喜欢坐着，说完，我拍了拍自己的大腿邀请她坐上来，瑞瑞略微有些羞涩的拿过了一个枕头垫在我的腰上，随即跨坐在我的大腿上，我的手搂着她的腰，开始不老实的游走，一边掀开她的裙子轻轻拍打着她那丰满的臀部🍑，一边伸进她的上衣摩挲起她那早已做好准备的xx，但我们嘴里聊的话却意外的正常，从年纪到学校，我发现她居然不仅长得有点像我的高中同学，而且学校也离我很近，聊着聊着，或许是她也感受到…
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Showing the 10 most recent of 10 posts we hold for @JNNPLM4. 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.
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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“反馈频道” (@JNNPLM4), 16 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/JNNPLM4.
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.