妹妹最近缺钱,第一次想卖了有想法的兄弟可以行动起来了 @CYcm2012
🔥10👍4❤2

Channel
@jdkejshe
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
15,788subscribers
+1,271 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001649941154 |
|---|---|
| Type | Channel |
| Username | @jdkejshe |
| Created | Between 1 December 2021 and 31 May 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 11 September 2026 |
| On Telegram | t.me/jdkejshe |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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 |
|---|---|---|
| 11 Sept 2026, 13:57 | 15,788 | +61 |
| 8 Sept 2026, 23:40 | 15,727 | +354 |
| 5 Sept 2026, 14:16 | 15,373 | +59 |
| 3 Sept 2026, 12:00 | 15,314 | +41 |
| 2 Sept 2026, 03:43 | 15,273 | +32 |
| 1 Sept 2026, 01:59 | 15,241 | +25 |
| 30 Aug 2026, 21:43 | 15,216 | +28 |
| 30 Aug 2026, 00:08 | 15,188 | +22 |
| 29 Aug 2026, 00:33 | 15,166 | +24 |
| 27 Aug 2026, 21:08 | 15,142 | +57 |
| 26 Aug 2026, 18:53 | 15,085 | +154 |
| 25 Aug 2026, 16:53 | 14,931 | +107 |
| 24 Aug 2026, 19:36 | 14,824 | +81 |
| 23 Aug 2026, 08:08 | 14,743 | +35 |
| 21 Aug 2026, 19:38 | 14,708 | +27 |
| 20 Aug 2026, 18:38 | 14,681 | +14 |
| 19 Aug 2026, 19:14 | 14,667 | +18 |
| 18 Aug 2026, 20:16 | 14,649 | -1 |
| 17 Aug 2026, 19:13 | 14,650 | +17 |
| 16 Aug 2026, 14:12 | 14,633 | first reading |
15 posts held, back to 26 June 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 54 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 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 15 (26 June 2026 – 31 August 2026) |
| Views total | 52,470 |
| Reactions total | 85 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:53 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.
Measured directly from 4 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.
737 reactions across 14 posts, in 15 distinct kinds. The most used accounts for 54.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 401 | 54.4% | |
| ❤ | 274 | 37.2% | |
| 😁 | 12 | 1.63% | |
| 🔥 | 10 | 1.36% | |
| 👏 | 9 | 1.22% | |
| 👌 | 8 | 1.09% | |
| 🙏 | 6 | 0.814% | |
| 💯 | 4 | 0.543% | |
| 🎉 | 3 | 0.407% | |
| 🤩 | 3 | 0.407% | |
| ⚡ | 2 | 0.271% | |
| 🥰 | 2 | 0.271% | |
| 🌚 | 1 | 0.136% | |
| 😨 | 1 | 0.136% | |
| 😭 | 1 | 0.136% |
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 14 of the 15 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 737 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 26 June 2026 to 31 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @jdkejshe. 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 15 most recent posts we hold for this entry, published 26 June 2026 to 31 August 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.
妹妹最近缺钱,第一次想卖了有想法的兄弟可以行动起来了 @CYcm2012
🔥10👍4❤2
重庆出击的靠谱频道 可能是重庆最自由的群 👉 https://t.me/cqcdbureau 可能是重庆最活跃的频道 👉 https://t.me/+MWOnej_9F-I5NTFl 白嫖抽奖中!
❤4
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_494790285
🥰🥰🥰【郑州修车之太郎日记】 🥰🥰🥰综合导航栏 🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗 本频道大致分为三个板块: 1️⃣赞助商家导航 该板块收录赞助商家相关内容,都是主任亲自认证过的靠谱信息 2️⃣太郎优选妹妹 该板块收录主任去过的比较不错的妹妹,以及对应的出击报告 3️⃣优质群聊导航 该板块收录郑州优质群聊,帮助广大狼友少走弯路,不再踩坑 🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗 ➡️赞助商家导航 太狼包养 山月外围 🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗 ➡️太郎优选妹妹 ➡️备忘录 苏千月 小泰雅 姜宝宝 小小柔 多多 小冉 思雨 小沫 豆包 小炤 苏篱 茹茹 🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗 ➡️优质群聊导航 👉郑州学生会 👉郑州楼凤阁 👉郑州师范 👉郑州大学 以上四个群聊,榜单信息均由工兵实地出击验证过,确保榜单真实性,可放心出击 👉郑州精品群 精选郑州优质精品老师,采取报销模式,不知…
❤10😭1
唉兄弟们,我花700块钱,你们就玩几分钟,我觉得有点亏啊,身体不行的不要乱评论了😔😔😔
👍6😨1
💎艺名:#苏千月 💎位置:#中原区 💎课费:#800P 💎老师: @sqy0909 💎硬件:嫩妹,身高170,体重100,胸C 💎服务:口,做,陪洗,69 💎标签:#颜值车 #嫩妹 #胸大 #态度好 #身材好 #冷白皮 个人体验: 该怎么形容这一次会面呢,其实并不是第一次见面了,郑州好看的妹妹也不少,但苏千月就是那样的特殊,花费再多的笔墨去记录都不为过。 首先是颜值,毫不夸张地讲,千万万人群,茫茫人海之中,只一眼就能认得出她,像是一只高贵的白天鹅一般,绝无可能泯然众人。 有一句很有意思的话,叫你的眼里有星星,这本来只是一个梗,用作调侃,但用在苏千月身上却是再合适不过,一双灵动的大眼睛,眨动间,莫说星星了,仿佛整个银河都在其中闪耀,熠熠生辉,让人看的入迷,无法移开视线。 再往下,五官精致的像是犯规了一般,每一处都长的恰到好处,呼应起来更是无比动人。 皮肤很白很白,没有纹身,全身冷白皮,光滑细腻,胸围颇具规模…
👍12❤7🌚1
💎艺名:#多多 💎位置:#东区 💎课费:#700P 💎老师: @dszjcj 💎硬件:嫩妹,身高170,体重100,胸C 💎服务:口,做,陪洗 💎标签:#颜值车 #嫩妹 #胸大 #态度好 #身材好 个人体验: 最近听到有人聊一个很有意思的话题,是关于一见钟情的,那什么是一见钟情呢? 有人觉得,是第一眼就觉得这是命中注定,类似于爱情终于到来了的那种感觉;也有人觉得,哪有什么一见钟情,无非是见色起意罢了。 说实在的,两个说法好像都有道理,我分不清,不知道哪个更加正确。 那为什么要把这个东西放在开头来写呢? 原因很简单,因为我好像遇到这种情况了。 故事的起因极其简单,多多上轮播,需要一张照片,照片发过来,加载完毕,浮现在屏幕上。 真他妈好看! 原谅我文化有限,想不出什么华丽辞藻来形容那一刻的心情,只能用这种粗俗的方式来表达。 从那一刻起我就知道,我一定要见上她一面,这个想法在脑海里不断萦绕,挥之不去,直…
❤18👍9
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_494790285
👍6❤1
💎艺名:#小冉 💎位置:#金水区 💎课费:#600P 💎老师: @xiaoran633 💎硬件:嫩妹,身高168,体重47kg,胸B 💎服务:口,做,陪洗,69,制服 💎标签:#颜值车 #嫩妹 #丝袜制服 #态度车 #白虎 #一线天 个人体验: 听闻郑州出现了一位白虎一线天嫩妹,再一问还是天然白虎,出于严谨认真的态度,当即决定去检验一下,替广大狼友把把关,看看真假。 课室位置很安全,妹妹出门迎接,防范意识在线,让人安全感满满,个子不低,一袭修身长裙,勾勒出窈窕动人的完美曲线,来到房间里,才有空一睹妹妹芳颜。 乍一看并不算惊艳,但妹妹那股青春气息浓郁到仿佛要溢出来一般,并且看久了后,妹妹似乎有些羞涩,脸颊微微泛红,嘴角也浮出一抹害羞的微笑来,很有种回到高中时期,遇到青涩女同学的感觉。 这种感觉瞬间就让我泛起了回忆,也让弟弟随之昂扬起来,褪去衣衫,动人的身躯毫无遮拦的呈现在眼前。 尚未发育完全但已经小有规模的…
❤34👍8
💎艺名:#小泰雅 💎位置:#中原区 💎课费:#800P 💎老师: @xty0221 💎硬件:颜值9分,嫩妹,身高167,体重90,胸A+ 💎服务:口,做,舌吻,陪洗 💎标签:#颜值车 #身材好 #嫩妹 #丝袜制服 #态度车 个人体验: 最近烈日炎炎,急需一位清纯风妹妹来拂去内心燥热,也就在这时,小泰雅闯入了视线中。 约好时间,准时抵达。 开门,入目是一张精致动人的脸庞,大眼睛灵动闪烁,一头乌黑亮丽的长发自然披散而下,衬的肌肤愈发莹白,淡黄色高腰裤,完美地勾勒了高挑纤细的身材,这不正是追寻许久的清纯风妹妹? 宽衣解带,一起走进浴室,妹妹身材很瘦,胸围小有规模,一手可握,纤纤细腰不过一掌宽,但在胯骨时又勾勒出柔和饱满的弧线,配上饱满的臀瓣,腰臀比相当不错。 清洗一番,步入开足冷气的房间,早先时候的燥热本已烟消云散,但随着妹妹跨坐在身上,弟弟抬头,燥热感竟再次火速涌起,抬眼,目光对视,妹妹红唇自然而然地贴了上来…
❤27👍25👏2👌1💯1🤩1
💎艺名:#姜宝宝 💎位置:#金水区 💎课费:#900P 💎老师: @jbb235 💎硬件:颜值9分,御姐,身高170,体重100,胸C, 💎服务:口,做,舌吻,陪洗 💎标签:#颜值车 #身材好 #嫩妹 #丝袜制服 #态度车 # 个人体验: 看照片就惊为天人,开门一见更是如此,上半身一件紧身白T,勾勒出完美的线条,下半身一条宽松的裤子,难掩极致突出的腰臀比,个子很高,单从身材来看,绝对郑州第一梯队,模特级别。 随着妹妹一声甜甜呼唤,视线上移,从前我一直不太明白所谓笑靥如花是什么意思,但此刻见到妹妹的笑容,这个词语瞬间便有了具象化的呈现。 眉眼弯弯,言笑晏晏,只一眼,炎炎烈日带来的燥热烦闷感便瞬间烟消云散。 宽衣解带,来到浴室,没有衣物的遮掩,妹妹完美的身材毫无保留地呈现在眼前。 毫不夸张的讲,维纳斯再世。 天鹅颈,直角肩,圆润的胸型,饱满的小葡萄,若隐若现的马甲线,丰润挺翘的蜜桃臀,修长笔直的大长腿,每…
👍66❤49👌4👏3😁2🙏2💯1
郑州最大的大学,最牛逼的院长脆脆鲨一手创建的郑州大学,兄弟们我要积分点链接进来吧 https://t.me/zzdxjqrs_bot?start=join_GgDDPHE-keU2ZTA1
👍38❤13👏1
Showing the 12 most recent of 15 posts we hold for @jdkejshe. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
Named by 6 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.
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 11 September 2026 — this entry's latest reading, not the date you are reading this.
“郑州修车之太狼日记” (@jdkejshe), 15,788 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/jdkejshe.
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.