【推妹子花名】:林若涵 【妹子车牌】: @hela88881 【验证留名】:开开心心 【验证时间】:8.13 【所在位置】:省体育馆 【修车水费】:6p 【是否代聊】:否 【身高身材】:168 【妹子年龄】:22.3 【湿度紧度】:湿紧 【颜值相似】:9分 【凶器罩杯】:B+ 【环境卫生】:干净 【服务内容】:三件套 【机车行为】: 【优点缺点】:情绪价值很足 身材s线 颜值高 【性价比】:/9满分10.0分 【推荐程度】:9分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:今天天气好,适合出击,打开车库,看到才开课的老师,主备试试水,见面第一眼肯定看老师屁股,翘翘的,下面就是一双大长腿,再看脸,颜值也很高,具体过程就是那些,就不详细描述了,老师配合度很高,而且情绪价值给的很,水又多,胸的手感也很棒。期待下次。

Channel
武侯林若涵(自聊)
@WHlinqunian
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,419subscribers
+129 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002736987563 |
|---|---|
| Type | Channel |
| Username | @WHlinqunian |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/WHlinqunian |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 04:16 | 1,419 | +129 |
| 13 Aug 2026, 10:32 | 1,290 | first reading |
Engagement
14 posts held, back to 11 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 28.6%
- avg views ÷ 1,419 subscribers
- Avg views / post
- 406
- 10 posts measured
- Reaction rate
- 0.231%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 14 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 4 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 14 (11 August 2026 – 13 August 2026) |
| Views total | 4,062 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 10:32 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
- 9s
- Average length
- 9s
Measured directly from 1 video 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
5 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 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 4 of the 14 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 11 August 2026 to 13 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
武侯林若涵(自聊) pinned a photo
【妹子花名】:林若涵 【妹子车牌】:@linrhan01 【验证留名】:特攻 【验证时间】:8.12 【所在位置】:省体育馆 【修车水费】:600P 【是否代聊】:否 【身高身材】:168 【妹子年龄】: 23 【湿度紧度】: 很紧,水多 【颜值相似】:9分 【凶器罩杯】:B+ 【环境卫生】:干净整洁 【服务内容】:课表 【机车行为】:没有 【优点缺点】优点很多,刚下水很有良家感,很紧湿度也不错,态度很不错,硬件很高 【性价比】:9分 【推荐程度】:9分 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】: 本来想约熟悉的老师的但是红休了,给我推荐了她这个刚下水的姐妹,本来以为会踩雷,但是到了一看,很不错,照片基本上人照一致,甚至真人比照片好看, 聊天的时候感觉很好,态度很不错,不会让你冷场。在硬件和软件都做的很不错, 颜值很…
🎰 大话给男团说:你知道吗?寝室又多一个室友! 📮 参与条件: 🛡️ 必须设置用户名 🎫 加入-成都大话修车群 └🎟️ 发言数大于 1 条 🎫 加入-成都修车•男团女团 └🎟️ 发言数大于 2 条 🎫 加入-成都回寝的诱惑(复活版) └🎟️ 发言数大于 3 条 🎫 加入-武侯林若涵(自聊) 🎁 奖品内容: 💰️ 🧧立秋奶茶套装66 x 2 💰️ 单P 5折优惠卷 x 1 💰️ 单P 1米优惠券 x 2 💫 鸿运加成:x 8 规则 ⚠️ 抽奖说明: 1.本次该奖品优惠券不可折现、不可转让、不可买卖;因炸号,退群,注销账号、恶意刷发言发送123字母等原因,超时未兑换等原因的,不予兑奖! 2.本次活动优惠劵兑奖有效期为开奖后7天内,现金为开奖后3天内,逾期作废。 3·为避免小号、协议号、广告号,需有抽奖期间 频道中评论,无评论不予兑奖。 📆 定时开奖 北京时间:2026年08月19日 12时07分 👉
武侯林若涵(自聊) pinned a photo
生命在于运动,和我一起的运动😘 开课了哥哥们,欢迎约课 @linrhan01
❤1
武侯林若涵(自聊) pinned Deleted message
【成都大话修车认证】 花名: #林若涵 车牌: @linrhan01 车费: 6P 9PP 位置: 省体育馆 标签: #武侯区 #自聊 #御姐车 #颜值车 #大长腿 #态度车 #感觉车 #良家 #6P 注:人照9分,真人更好看,良家初下水。身高166左右,体重102斤左右,身材苗条高挑,丝袜+高跟,BUFF加满,胸B手感舒适,皮肤特别白,光滑,没纹身。下面馒头户型,水多,偏紧。服务三件套,口活厉害,舔到你爽为止,良家感十足。爱爱配合,女上厉害,能夹能骚,声音麻酥,很有感觉。 优惠情况:出击分换白嫖 主群: @CDdahuaxiuche 备用群: @CDdlamxw
【妹子花名】:林若涵 【妹子车牌】:@linrhan01 【验证留名】:午后阳光 【验证时间】:08,12 【所在位置】:省体育馆 【修车水费】:600P 【是否代聊】:否 【身高身材】:169 【妹子年龄】: 23 【湿度紧度】: 水多,紧得很,女上感觉很明显 【颜值相似】:9,看得出是本人 【凶器罩杯】:B+,rua起安逸 【环境卫生】:干净整洁 【服务内容】:陪浴,三件套 【机车行为】:无,老师初下水,服务略生疏,但影响不大 【优点缺点】:特别有情绪价值,话不掉地上;爱笑,没有一点儿风尘气;爱健身、养生,还会对你身体提出健康意见😁;馒头B较浅,又紧,会吸会夹,做爱的时候特别真实,情到深处会叫老公,捏你咪咪,很有成就感。 【性价比】:9 【推荐程度】:9 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:看老师频道,健身瑜伽…
❤2
爱就算捂住嘴巴👄也会从眼睛里跑出来 新人开课 🉑🈷️ @linrhan01
✅成都91修车学院认证 艺名: #林若涵 地址: #武侯区 #省体育馆 价格: #600P/50分钟 #900PP/90分钟 类型: #御姐车 #态度车 #颜值车 #8P #自聊 #大长腿 #省体育馆 联系:@linrhan01 锐评:该老师年龄23岁,身高165cm,体重49kg左右,无露脸照,颜值评分8.5 ,比较耐看;胸为B+ 乳头褐色 手感饱满;下面户型馒头一线天,外褐内粉,水多、紧,会吸会夹,下面比较浅容易一差到底,插入能明显感觉到内壁褶皱,爱爱舒适度很是不错,女上时间长。服务三件套 优点:听话配合,身材颜值不错,小穴浅且紧,日感佳;真人气质佳,善解人意情绪价值足。 缺点:刚刚下水,服务略显生疏。 总结:老师御姐感十足,良家感满满;喜欢健身,身材不错,全身无赘肉、大长腿,五官精致;爱爱听话配合,不油腻,服务正常三件套,小穴紧,日感佳,总体来说相当巴适,就是服务稍微生疏了一点,很有良家的感觉。喜欢御…
❤1
🎰 寝室新人林若涵联合猫窝请哥哥们喝秋天的第一杯奶茶 📮 参与条件: 🪪 必须设置用户名 🎫 加入-猫之国车库 🎫 加入-猫之国群聊 └ 🎟️ 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-武侯林若涵(自聊) 🎁 奖品内容: 💰️ 口令红包66 × 2 💰️ 林若涵单P 1米优惠券 × 2 💰️ 林若涵单P半价优惠券 × 1 ⚠️ 抽奖说明: 1.本次该奖品优惠券不可折现、不可转让、不可买卖;因炸号,退群,注销账号、恶意刷发言发送123字母、非正常聊天等原因,超时未兑换等原因的,不予兑奖! 2.本次活动优惠劵兑奖有效期为开奖后7天内,现金为开奖后3天内,逾期作废。 3·为避免小号、协议号、广告号,需有参与群对应任意车库抽奖期间评论➕点赞,无评论不予兑奖 ⚠️ 如发现Ai机器人直接取消中奖资格不予兑奖 🔋 人品加成:⚡️ 规则 📅 开奖日期:(北京时间) 202…
❤1
Showing the 12 most recent of 14 posts we hold for @WHlinqunian. 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 — 976,036 of 1,350,102entries 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.
Forward network
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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“武侯林若涵(自聊)” (@WHlinqunian), 1,419 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/WHlinqunian.
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.