#嘟嘟 #5p9pp #态度车 #幼态车 #小矮矮 #成华区 工兵:妹妹16岁,身高155,体重75斤,在房间没发现抽烟,有纹身,进门就是没长开那种幼幼的脸,一脸青涩,皮肤偏黑,皮肤将就,有点点上火的子子,身材萝莉身材,熊不大A,逼逼心心很粉,摸熊摸逼都特别敏感,会板。妹妹自述和男朋友才破处没多久(后面印证确实是),一起洗澡,从陪洗开始教,洗鸡鸡,舌吻(舌吻学会了),转战上床,又开始教口,口了几下,也不太适应,慢慢来吧,舔了下逼逼,还是蛮润的。戴套开始,女上也不会,抱着亲吻着做了一会,还是没得什么性经验,不咋个叫,但是很听话,也没有不耐烦,笑嘻嘻的,转后入,传教士流程走下来,也很配合,她这逼逼有点魔力,估计浅和烫的原因,插进去一会就想射,最后发射完有白浆,水多多。总体来说,喜欢小只,懵懂初恋女友的朋友,推荐打卡 工兵:妹子11年的,身高一米五,七十斤左右,脸幼 皮肤正常黑黄皮 ,人照去掉美白有八分,嫩妹身材,胸有a,皮肤触感…

Channel
狼友上牌老师榜
@JDSSAL
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
18,081subscribers
+117 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001959814744 |
|---|---|
| Type | Channel |
| Username | @JDSSAL |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/JDSSAL |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 01:09 | 18,081 | +7 |
| 2 Sept 2026, 01:31 | 18,074 | +1 |
| 1 Sept 2026, 00:18 | 18,073 | +13 |
| 30 Aug 2026, 20:25 | 18,060 | +2 |
| 29 Aug 2026, 23:47 | 18,058 | -5 |
| 29 Aug 2026, 02:19 | 18,063 | +7 |
| 28 Aug 2026, 03:34 | 18,056 | -15 |
| 26 Aug 2026, 23:54 | 18,071 | -1 |
| 26 Aug 2026, 02:58 | 18,072 | +20 |
| 25 Aug 2026, 01:45 | 18,052 | +14 |
| 23 Aug 2026, 12:17 | 18,038 | +28 |
| 21 Aug 2026, 20:47 | 18,010 | +11 |
| 20 Aug 2026, 13:27 | 17,999 | +4 |
| 19 Aug 2026, 16:56 | 17,995 | -2 |
| 18 Aug 2026, 19:06 | 17,997 | +27 |
| 17 Aug 2026, 19:58 | 17,970 | +5 |
| 16 Aug 2026, 20:48 | 17,965 | -87 |
| 15 Aug 2026, 07:54 | 18,052 | +8 |
| 14 Aug 2026, 00:58 | 18,044 | -10 |
| 12 Aug 2026, 17:24 | 18,054 | first reading |
Engagement
62 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 54 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.71%
- avg views ÷ 18,081 subscribers
- Avg views / post
- 490
- 61 posts measured
- Reaction rate
- 0.196%
- reactions ÷ views · ER floor
- Posts in window
- 61
- of 62 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 24 of 61 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 62 (3 August 2026 – 2 September 2026) |
| Views total | 29,920 |
| Reactions total | 29 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 15:11 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
- Video runtime
- 3m 59s
- Average length
- 10s
Measured directly from 24 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.
Reaction mix
30 reactions across 22 posts, in 3 distinct kinds. The most used accounts for 93.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 93.3% | |
| 👍 | 1 | 3.33% | |
| 🤪 | 1 | 3.33% |
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 25 of the 62 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 30 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 62 most recent posts we hold, published 3 August 2026 to 2 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.
Recent posts
#小鹿 #5p9pp #态度车 #大蟒蛇 #幼态车 #成华区 工兵:小妹妹还有几天满16岁,进门一看穿的小裙子,很可爱,素颜妆就很耐打,抽烟,会主动问能不能接受,就手指和大腿有很小的纹身,都可以忽略不计,肤色黄皮。抱抱大蟒蛇,陪洗,上床很主动,口技略显生疏,可以教,舔蛋吸蛋,六九骑胸夺嘴都可以接受,应该是牙齿的问题,有齿感,不能太深,下面很粉嫩,紧,传教进入会搂脖子大蟒蛇,情到深处还舔咪咪,情绪价值给的极高,最后后入结束,总体来说很不错,年轻可爱的妹妹,床上有反应,不是死鱼,值得推荐 工兵:妹子15岁,身高160,体重88,B🐻手感好很紧实,不抽烟,纹身很少,皮肤光滑偏白皮,性格外向沟通顺畅,态度很好姿势配合,做爱有反馈,大蟒🐍随叫随到。妹子带妆JK皮肤,看起小乖,共浴陪洗,口技不错,舔棒深喉都有,时间还长,不喊停一直口。下面毛量偏少,小阴唇两片外褐内粉,洞口小无异味,炫起妹子腿会发抖。进入包裹感很足,腿软可折叠M,同时阴道…
#小野猫 #550p1000pp #态度车 #幼态车 #小矮矮 #成华区 工兵:小萌妹,芳龄 16,身高 154,体重 70 多,35 码小玉足,狮子座,无纹身,抽烟。小妹妹贴了一些小纹身,究极幼态脸,虽然素颜,但是很乖,底子好,看了就不想走的那种。性格很害羞,很可爱,还有点小傲娇。态度好且会递烟抽,全程聊天不尬场,很爱笑,酥酥麻麻的那种,有陪洗,虽然排骨但是奶子不小,身材没的说,肉长在了该长的地方。 逼逼毛量少,水多,紧度也可以。口活入门级,但是愿意学。舌吻中蟒蛇,很投入,小嘴唇很软。日感反馈很真实,主动求抱抱,拉都拉不开,眼神很迷离,小手乱动,柔韧度很高,随意日,传教士,趴入,后入,夹腿日,压腿日,通通试了个遍,最后很舍不得的出水😭😭😭,事后仍然意犹未尽。愿称之为旺仔 pro 升级版,链子党,排骨党,恋足党都值得去,强烈推荐上牌。 工兵:妹妹默认18岁,本人比照片好看多了,娇小玲珑可爱型,有纹身,抽烟、身高155左右,体…
#倩倩 #6p11pp #态度车 #幼态车 #白皮 #无纹身 #不抽烟 #类白虎 #金牛区 最后一张实拍 工兵:四川妹子。年龄16,身高158cm,75斤,妹子笑起来很乖象邻家妹子,脸幼。人照9分,有腰有大屁股无赘肉,身材顶蜜桃臀,皮肤为白皮光滑,无纹身不抽烟。三点粉,奶子为平板,乳头小黄豆大小。毛量偏少还打理过,户型为小蝴蝶批,炫批阴蒂敏感,批内颜色为粉色且湿润度高,紧度为紧致。主动陪洗,大蟒蛇。妹子口活很好,口的相当认真无齿感,有深喉,舌头会在龟头上打转,而且是不喊不停的那种。女上技术好,由于妹子瘦小,前后蠕动能感觉有吸入感。后入大屁股肉多且腰很细,观感极佳,而且妹子喜欢后入,紧度会增加。传教进入,小穴的包裹感很好且水量足润滑感好,妹子叫床声音好听,日到爽的时候,会叫爸爸艹我,爸爸射给宝宝。配合度极高,日批情商高,幼态颜值和日到情深处的骚形成了极大反差。 工兵:四川广元的妹子。年龄16 身高158 76斤 进…
❤1
#椰椰 #6p10pp #态度车 #幼态车 #白皮 #成华区 工兵:贵州妹子,问就是18,165,95斤,人照9分可可爱爱,身上白嫩,手臂晒深了点。刚玟的纹身,所以也就是刚下水,有点呆萌,洗澡完聊天就忘了服务了,流程要引导一下。A+酥胸,乳头还没怎么发育起来,性格随和开朗。有🐍可以一直🐍,口技无齿感,乖巧口的时间长,就是口的偏轻柔。三点粉,下面毛少,初入紧,插进去明显挤压感,妹子表情可爱加攻速,肢体柔软,双腿可以扛肩上压腿,适合全力输出。女上经验一般姿势不太会,但是态度好不叫停不会停。另外小jio 白嫩,配上美甲有食欲,总体来说妹子会聊天态度好有情绪价值,日感不错耐桩,缺点就是不怎么叫,推荐打卡。 工兵:妹子讲一口贵州方言 15岁 刚刚成年 链子角度的成年 年龄安全 属兔子的 身高165体重90 颜值小乖 奶子b➖ 会抽烟 有纹身 屁股圆翘 皮肤黄白皮 态度很好 话痨一枚 情绪价值高 挺能聊 口活够用 略有齿感 舌吻属…
#小小鱼 #6p11pp #态度车 #女友感 #粉逼妹妹 #成华区 工兵:妹子15岁,身高160,90斤左右,胸A,小笼包。有纹身,抽烟,皮肤黄皮偏白,萝莉身材,颜值很高。妹子脸型线条圆润柔和,长发轻贴脸颊,衬得面容温婉干净。一双眼眸澄澈平和,目光安静从容,淡颜长相,温润耐看。妹子话不多,态度不错,主动递拖鞋,有陪洗。上床后,有亲有蛇,嘴巴无异味,蛇是小蛇,但蛇起来甜甜的。口技嫩妹一般水平,无齿感。下面毛少,小穴粉嫩,紧度正常水平,传教士日,看着那张精致的脸和那身材,非常有罪恶感,全程日感不错,姿势配合,态度在线,好评! 工兵:妹子身高164 体重93斤 胸A+ 颜值挺高 非常嫩 大眼睛 瓜子脸 像女优 化妆非常不错 身上皮肤白 纹身很少 陪洗认真 下面毛毛较少 批很粉 真的粉 舔胸 比较敏感 有点害羞 很腼腆 叫声较小 亲嘴比较配合 舌头很软 非常配合 口活比较可以 还会舔棒 能全吞 有天赋 口技我觉得很好 非常紧 水挺…
花名:#达琳 编号: 2412 车牌: @dalinbyy 课时费: #5/9 标签:#服务车 #身材车 #少御车 #5P #武侯区 #代聊 地址:#高升桥 优惠:无 锐评:人照7.5分,年龄看起来30左右,未婚少妇气质,身高160左右,没有赘肉,胸b+,毛量较少,bb颜色浅,一线天,大水库,较紧致;妹子服务控,服务卖力,态度好,喜欢服务控的推荐打卡。 🦋萝卜青菜,各有所爱🦋 会所客服安亦:@TGCD2 双向请联系机器人:@TDCD3_bot 商K客服胖胖:@GGDSAFS 女仆联系人:@vip666cd 客户好评反馈:https://t.me/TGCDHAOPIN 主群https://t.me/pa_888 备用群:https://t.me/TGCD5
花名:#啾啾 编号: 1972 车牌: @jiu520jiu99 课时费: #8p/14pp 标签:#嫩妹车 #代聊 #颜值车 #身材车 #细枝硕果 地址:#高升桥 优惠: 锐评: 参考青年文摘 会所客服安亦:@TGCD2 双向请联系机器人:@TDCD3_bot 商K客服胖胖:@GGDSAFS 女仆联系人:@vip666cd 客户好评反馈:https://t.me/TGCDHAOPIN 主群https://t.me/pa_888 备用群:https://t.me/TGCD5
❤1
花名:#冰冰 编号: 2411 车牌: @binbiniwii 课时费: #5/10 标签:#嫩妹车 #成华区 #态度车 #嫩妹车 #上门 #包夜 地址:#李家沱 优惠:无 锐评:18岁妹妹,165身高100体重,照片本人9分相似,无纹身,身材好,B奶,腰无赘肉,肥美臀部,后入绝佳。舌吻小蟒蛇,69炫得爽,口活一流能深喉、舔柱,爱爱感到位,逼很紧毛偏多。呻吟声很大,好在房间隔音,炫批开始就放肆的叫,到后入骚话不断,属于感觉车,征服感觉强烈,过程配合,干爽了很有骚劲,性价比合适。 🦋萝卜青菜,各有所爱🦋 会所客服安亦:@TGCD2 双向请联系机器人:@TDCD3_bot 商K客服胖胖:@GGDSAFS 女仆联系人:@vip666cd 客户好评反馈:https://t.me/TGCDHAOPIN 主群https://t.me/pa_888 备用群:https://t.me/TGCD5
❤2
🎰 山鸡联合楚老师送福利 📮 参与条件: 🛡️ 必须设置用户名 🎫 加入-TG成都会所商k包养 └🎟️ 发言数大于 5 条 🎫 加入-成都商k会所交流群 └🎟️ 发言数大于 5 条 🎫 加入-成都回寝的诱惑(复活版) └🎟️ 发言数大于 5 条 🎫 加入-成都 楚依依 天府二街 🎫 加入-狼友上牌老师榜 🎁 奖品内容: 💰️ 100现金 x 1 💰️ 50现金 x 3 💰️ 楚老师1米优惠卷 x 3 ⚠️ 抽奖说明: 现金奖励24小时内联系暖暖,优惠卷有效期7天。换号无效。 📆 定时开奖 北京时间:2026年09月07日 19时00分 👉 点击参与抽奖 🎁 点击查看更多抽奖
❤1
🎉🎉🎉 开奖通知 🎉🎉🎉 🎰 山鸡会所联合沈清梨 叶汐 姐妹花送福利了。 ⚠️ 抽奖说明: 现金奖励24小时内联系暖暖,优惠卷有效期7天。换号无效。 🎅 联系领奖:@jiaQ2723557609aaa 🙋 参与人数:313 中奖名单如下: 1. 凯文 奖品:150口令红包 2. 城市猎人 奖品:50口令红包 3. 黑大帅(血条回复中)💞 奖品:50口令红包 4. 了了 奖品:沈老师单次1米优惠卷 5. 三天不打很难受 奖品:沈老师单次1米优惠卷 6. 阿飞 奖品:沈老师单次1米优惠卷 7. 木又 奖品:叶老师单次1米优惠卷 8. 天元马 奖品:叶老师单次1米优惠卷 9. 有点短 奖品:叶老师单次1米优惠卷 这次没中,下次一定! 🎁 点击查看更多抽奖
❤1
花名:#如花 编号: 2409 车牌: @mmhhhrrr 课时费: #6/11 标签:#嫩妹 #武侯区 #6p #自聊 #女友感 地址:#武侯区 优惠: 锐评:人照相似度高,皮肤白,身材好,女友感极强,非常推荐 🦋萝卜青菜,各有所爱🦋 会所客服安亦:@TGCD2 双向请联系机器人:@TDCD3_bot 商K客服胖胖:@GGDSAFS 女仆联系人:@vip666cd 客户好评反馈:https://t.me/TGCDHAOPIN 主群https://t.me/pa_888 备用群:https://t.me/TGCD5
❤1👍1
Showing the 12 most recent of 62 posts we hold for @JDSSAL. 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.
Citation-graph rank
Citation-graph rank — 1,174,392 of 1,630,085 entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — 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.
@TGCD5 · 4,77759 postsTG成都会所商k包养
@pa_888 · 29,49058 postsTG成都好评反馈
@TGCDHAOPIN · 94256 posts幸运抽奖导航
@LotteryNavChannel888 · 30,5786 posts成都回寝的诱惑(复活版)
@The_Lure_of_Home01 · 17,3813 posts成都 楚依依 天府二街
@WHcuier · 5,2282 posts保安
@abaoan_bot · 95,0921 post叶汐的人间小记
@baixixi0 · 1,4471 post全国包养萝莉/处女/学妹(广告频道)
@jsbsibdz · 11 post全国包养萝莉/处女/学妹(广告频道)
@mm2689q · 21 post沈清梨的小圈圈😘
@qiruohan · 2,9441 post全国包养萝莉/处女/学妹(广告频道)
@xiyaobby · 11 post全国包养萝莉/处女/学妹(广告频道)
@yiruo007 · 61 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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“狼友上牌老师榜” (@JDSSAL), 18,081 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/JDSSAL.
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.