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Channel

成都楼凤修车•言师日记

@ysrjbf

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

8,423subscribers

+1,861 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-1002910199841
TypeChannel
Username@ysrjbf
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/ysrjbf

Growth

6,55910,2948,426.56 August 2026 — 6,562 subscribers7 August 2026 — 6,569 subscribers10 August 2026 — 6,559 subscribers13 August 2026 — 6,754 subscribers16 August 2026 — 8,210 subscribers19 August 2026 — 8,364 subscribers23 August 2026 — 8,178 subscribers26 August 2026 — 10,294 subscribers27 August 2026 — 9,637 subscribers30 August 2026 — 8,522 subscribers2 September 2026 — 8,423 subscribers8,4236 August 20262 September 2026
11 measurements spanning 27 days, net +1,861. 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 5,999–10,854 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Sept 2026, 19:168,423-99
30 Aug 2026, 10:038,522-1,115
27 Aug 2026, 15:389,637-657
26 Aug 2026, 16:0810,294+2,116
23 Aug 2026, 10:048,178-186
19 Aug 2026, 11:578,364+154
16 Aug 2026, 21:388,210+1,456
13 Aug 2026, 08:576,754+195
10 Aug 2026, 08:116,559-10
7 Aug 2026, 02:266,569+7
6 Aug 2026, 20:056,562first reading

Engagement

29 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 24 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.3%
avg views ÷ 8,423 subscribers
Avg views / post
1,450
21 posts measured
Reaction rate
0.085%
reactions ÷ views · ER floor
Posts in window
21
of 29 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 10 of 21 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 28 August 2026
Posts held29 (3 August 202628 August 2026)
Views total30,531
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 06:56 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
1m 23s
Average length
12s

Measured directly from 7 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

17 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 64.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1164.7%
🎉317.6%
👍211.8%
👌15.88%

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 13 of the 29 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 3 August 2026 to 28 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.

Recent posts

28 Aug 2026, 14:16 UTC419 views2 reactionsread 29 August 2026
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🎰 馨儿来咯 📮 参与条件: 🌏️ 归属地 四川 🪪 必须设置用户名 🎫 加入-北门馨儿😘😘😘 🎫 加入-成都楼凤修车•言师日记 🎫 加入-成都修车•男团女团 └ 🎟️ 发言数大于 3 条 🎁 奖品内容: 💰️ 现金口令红包🧧100 × 1 💰️ 现金口令红包🧧50 × 4 💰️ 馨儿单P优惠券100 × 2 💰️ 馨儿单P优惠券200 × 1 ⚠️ 抽奖说明: 1.本次优惠券不可折现,优惠券兑奖有效期为开奖后5天内,逾期作废! 2.现金口令48小时内兑换,因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! 3.中途退群退频道,乱水群都会取消中奖资格! 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年09月04日 20时30分00秒

2

23 Aug 2026, 08:01 UTC≈2,720 views2 reactionsread 29 August 2026

༺ཌༀ成都浣花缘·报告模板ༀད༻ 【验证留名】:#天涯 【老师花名】:#婷婷 【老师电报】:@TingTingya6 【老师年龄】:18 【验证时间】:8.23 【教室位置】:#昭觉寺 【修车水费】:600 【课室环境】:酒店公寓 【是否代聊】:代聊 【人照相似】:9分 【身材赘肉】:160/105,身材匀称有肉不胖 【凶器罩杯】:胸B掌中宝粉褐色手感软弹 【日感反馈】:凤冠穴粉嫩毛量正常,水多挺紧爱爱敏感 【服务项目】:三件套、大蟒蛇、69 【机车行为】:无 【优缺点锐评】: 颜值精致的嫩妹,热情迎接会聊天,身材匀称不胖,皮肤较白手感光滑一处小纹身,胸B乳头乳晕小粉褐色手感软弹,凤冠穴颜色粉嫩毛量正常,水多挺紧爱爱敏感反馈好 【上课过程描述】:留门进去妹妹很热情的上来拥抱,哥哥辛苦了先去休息会吧,跟妹妹在沙发上坐会,搂着妹妹腰聊天,,婷婷以前做过团播挺健谈的,很自然完全不会冷场,看聊了有那么久了就一块去洗澡,婷婷属于身材匀称不

🎉2

23 Aug 2026, 08:01 UTC≈1,240 views4 reactionsread 29 August 2026
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艺名:#婷婷 年龄:18 车牌:@TingTingya6 价格:6P 10PP 位置:#成华区 #驷马桥 人照:9分相似 颜值:出众(一般,正常,耐看,出众,惊艳) 身材:160-105-B 态度:很热情(机车,冷漠,一般,热情) 情绪价值:高(低,中,高) 真实服务:三件套、大蟒蛇、69 言师评价:颜值精致的嫩妹,热情迎接会聊天,做过团播情绪价值高,身材匀称属于有肉不胖,皮肤较白手感光滑一处小纹身,胸B乳头乳晕小粉褐色手感软弹,凤冠穴颜色粉嫩毛量正常,女上体力算很好的嫩妹了,水多挺紧爱爱敏感反馈好 【报告1】 【报告2】 【报告3】 言师日记 @ystyhj @ysrjbf

👍2🎉1👌1

21 Aug 2026, 08:13 UTC≈3,280 views1 reactionsread 29 August 2026

成都修车·男团女团验车报告 🏷️基础信息 【老师花名】:老师艺名 【老师车牌】:@maowoxiaokefu 【验证留名】:#天涯 【验证时间】:8.20 【修车水费】:1600双飞 【所在位置】:#理工大学 【验证群聊】:@CDCnantuannvtuan 👙软硬配置 【标签类型】:如:#嫩妹车 #大蟒蛇 #态度车 #代聊 #双飞 #感觉车 【老师年龄】:可欣19,南栀21 【身高身材】:都是身高165,体重95 【胸器罩杯】:奶子大小都是B,无科技,可欣无乳晕奶头小凹陷手感软弹,南栀乳头乳晕小浅褐色手感柔软 【紧度湿度】:都是小蝴蝶浅褐色毛量正常,水都很多可欣稍微紧一点 【服务项目】:三件套、大蟒蛇 【优点缺点】:人照相似度都在9分左右,性格都很好,可欣稍微内敛一点,南栀外向会撒娇,身材都比较匀称,可欣大花背花腿肤色白一点,南栀肩膀上有纹身正常肤色,胸都是B可欣乳头乳晕小手感软弹,南栀乳头乳晕正常大小浅褐色手感柔软,都是蝴

1

21 Aug 2026, 08:12 UTC≈2,640 views1 reactionsread 29 August 2026
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艺名:#可欣 #南栀 年龄:可欣19 南栀21 车牌:@maowoxiaokefu 价格:6P 双飞16PP 位置:#成华区 #理工大学 人照:9分相似 颜值:#耐看(一般,正常,耐看,出众,惊艳) 身材:165-95-B 态度:热情(机车,冷漠,一般,热情) 情绪价值:高(低,中,高) 真实服务:三件套、大蟒蛇、69 言师评价:人照相似度都在9分左右,性格都很好相处自然,可欣稍微内敛一点,南栀外向会撒娇,身材都比较匀称,可欣大花背花腿肤色白一点,南栀肩膀上有纹身正常肤色,胸都是B可欣乳头乳晕小手感软弹,南栀乳头乳晕正常大小浅褐色手感柔软,都是蝴蝶浅褐色毛量正常,敏感水多较紧可欣年龄小更紧一点,南栀外向点做爱更主动风骚,可欣内敛些爱爱反馈更自然 【报告1】 【报告2】 【报告3】 言师日记 @ystyhj @ysrjbf

1

14 Aug 2026, 11:42 UTC≈3,060 views1 reactionsread 29 August 2026

成都修车·男团女团验车报告 🏷️基础信息 【老师花名】:#棠棠 【老师车牌】:@tang509 【验证留名】:#天涯 【验证时间】:8.14 【修车水费】:700 【所在位置】:#武侯区 #石羊 【验证群聊】:@CDCnantuannvtuan 👙软硬配置 【标签类型】:如:#御姐车 #大蟒蛇 #颜值车 #大奶 #身材车 #自聊 #8P #女友感 #态度车 【老师年龄】:老师大概年龄24 【身高身材】:老师的身高165,体重98,身材前凸后翘 【胸器罩杯】:奶子大小D,无科技,乳头小乳晕稍大,颜色粉褐色手感软弹 【紧度湿度】:小穴蝴蝶浅褐色毛量正常,水多挺紧爱爱反馈好 【服务项目】:三件套、大蟒蛇、69、制服、深喉、舔胸 【优点缺点】:虽然不多露脸照但是本人网红脸颜值极高,态度好很健谈不冷场,身材苗条前凸后翘属于细枝硕果,正常肤色手感紧致光滑有几处小纹身,天然大D挺拔乳头小乳晕稍大,粉褐色手感软弹,蝴蝶浅褐色毛量正常,水多较紧

1

14 Aug 2026, 11:41 UTC≈2,110 views2 reactionsread 29 August 2026
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艺名:#棠棠 年龄:24 车牌:@tang509 价格:7P 13PP 位置:#武侯区 #石羊 人照:8.5分相似 颜值:#惊艳(一般,正常,耐看,出众,惊艳) 身材:165-98-D 态度:热情(机车,冷漠,一般,热情) 情绪价值:高(低,中,高) 真实服务:三件套、大蟒蛇、69、制服、深喉、舔胸 言师评价:虽然露脸照不多但是本人网红脸颜值极高,态度好很健谈不冷场,身材苗条前凸后翘属于细枝硕果,正常肤色手感紧致光滑有几处小纹身,天然大D挺拔乳头小乳晕稍大,粉褐色手感软弹,蝴蝶浅褐色毛量正常,水多较紧比较敏感容易高潮,爱爱反馈好主动大蟒蛇,属于是颜值身材情绪价值都在线的御姐,六边形战士没有短板 【报告1】 【报告2】 【报告3】 言师日记 @ystyhj @ysrjbf

2

14 Aug 2026, 03:37 UTC≈1,500 viewsread 29 August 2026
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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_7695512612

14 Aug 2026, 03:37 UTC≈1,490 viewsread 22 August 2026

成都修车·男团女团验车报告 🏷️基础信息 【老师花名】:#阮棠 【老师车牌】:@RTAAAG 【验证留名】:#天涯 【验证时间】:8.14 【修车水费】:600 【所在位置】:#天府二街 【验证群聊】:@CDCnantuannvtuan 👙软硬配置 【标签类型】:如:#御姐车 #大蟒蛇 #感觉车 #态度车 #自聊 #6P 【老师年龄】:老师大概年龄25 【身高身材】:老师的身高162,体重92,身材匀称无赘肉 【胸器罩杯】:奶子大小B,无科技,奶头正常大小无乳晕颜色粉,手感柔软 【紧度湿度】:小穴蝴蝶粉褐色毛量正常,水多较紧爱爱敏感容易高潮。 【服务项目】:三件套、大蟒蛇、69、制服、舔胸 【优点缺点】:人照一致的御姐,态度好一口一个宝宝热情不冷场,主动亲上来感觉到位,身材匀称无明显赘肉,皮肤白手感光滑细腻无纹身,胸B乳头正常大小无乳晕,颜色粉手感柔软,蝴蝶粉褐色毛量正常,水多较紧爱爱敏感容易高潮 💋自由发挥 【过程描述】:

14 Aug 2026, 03:36 UTC≈1,210 views1 reactionsread 22 August 2026
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艺名:#阮棠 年龄:25 车牌:@RTAAAG 价格:6P 9PP 位置:#武侯区 #天府二街 人照:9分相似 颜值:#耐看(一般,正常,耐看,出众,惊艳) 身材:162-92-B 态度:热情(机车,冷漠,一般,热情) 情绪价值:高(低,中,高) 真实服务:三件套、大蟒蛇、69、制服、舔胸 言师评价:人照一致的御姐,态度好一口一个宝宝热情不冷场,主动亲上来感觉到位,身材匀称无明显赘肉,皮肤白手感光滑细腻无纹身,胸B乳头正常大小无乳晕,颜色粉手感柔软,蝴蝶粉褐色毛量正常,水多较紧爱爱敏感容易高潮 【报告1】 【报告2】 【报告3】 言师日记 @ystyhj @ysrjbf

1

13 Aug 2026, 15:28 UTC≈1,220 viewsread 22 August 2026

成都修车·男团女团验车报告 🏷️基础信息 【老师花名】:#小蛮娘 【老师车牌】:@manniang990 【验证留名】:#天涯 【验证时间】:8.9 【修车水费】:700 【所在位置】:#武侯区 #大源 【验证群聊】:@CDCnantuannvtuan 👙软硬配置 【标签类型】:如:#嫩妹车 #大蟒蛇 #大奶 #感觉车 #代聊 #7P #BBW 【老师年龄】:老师大概年龄21 【身高身材】:老师的身高160,体重105, 【胸器罩杯】:奶子大小E,天然无科技,奶头大小正常,颜色粉褐,手感柔软 【紧度湿度】:小穴形状蝴蝶毛量偏少,颜色粉褐色,水多较紧爱爱反馈自然 【服务项目】:三件套、大蟒蛇、毒龙、69、舌漫AB面 【优点缺点】:照片御姐实际上偏嫩妹,很热情主动递鞋擦脚,健谈不冷场感觉挺不错,主动大蟒蛇还有毒龙等服务,身材属于微胖BBW有点小肚子,肤色正常偏白光滑无纹身,天然大E手感柔软,乳头乳晕小颜色粉褐,蝴蝶粉褐色毛量不多,

13 Aug 2026, 15:27 UTC≈1,990 viewsread 20 August 2026
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艺名:#小蛮娘 年龄:21 车牌:@manniang990 价格:7P 12PP 位置:#武侯区 #大源 人照:8.6分相似 颜值:#耐看(一般,正常,耐看,出众,惊艳) 身材:160-105-D 态度:热情(机车,冷漠,一般,热情) 情绪价值:高(低,中,高) 真实服务:三件套、大蟒蛇、69、毒龙、制服 言师评价:照片御姐实际上偏嫩妹,很热情主动递鞋擦脚,健谈不冷场感觉挺不错,主动大蟒蛇还有毒龙等服务,身材属于微胖BBW有点小肚子,肤色正常偏白光滑无纹身,天然大E手感柔软,乳头乳晕小颜色粉褐,蝴蝶粉褐色毛量不多,水多较紧爱爱反馈自然 【报告1】 【报告2】 【报告3】 言师日记 @ystyhj @ysrjbf

Showing the 12 most recent of 29 posts we hold for @ysrjbf. 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.

Posts edited after publishing

@ysrjbf edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
18 August 2026
Most recent edit
18 August 2026

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 8 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.

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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“成都楼凤修车•言师日记” (@ysrjbf), 8,423 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/ysrjbf.

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.