Channel
@lertyoly
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
20subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004470507674 |
|---|---|
| Type | Channel |
| Username | @lertyoly |
| Description | 欢迎各位加入我的频道，进了就是朋友了，友好交流哦 |
| Created | Between 1 June 2026 and 1 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/lertyoly |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 16:16 | 20 | no change |
| 9 Aug 2026, 07:46 | 20 | first reading |
15 posts held, back to 1 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 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 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 15 (1 August 2026 – 9 August 2026) |
| Views total | 3,492 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 16:16 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 11 August 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.
Measured directly from 3 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.
7 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 4 | 57.1% | |
| ❤ | 3 | 42.9% |
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 6 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 7reactions 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 1 August 2026 to 9 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.
成都医科大学修车群专属报告 【妹子花名】：潼潼 【验证留名】：小小 孙 【人照得分】: 8 【颜值得分】: 8 【身材得分】: 7 【服务得分】: 8 【态度得分】: 8 【环境得分】: 8 【综合得分】: 7.83 【验证时间】：2026-08-08 【所在位置】：天府广场 【修车水费】：600p 【是否代聊】：否 【身高体重】：160/45 【妹子年龄】：20 【服务内容】：陪洗，舔胸，舔鸡鸡，舔蛋蛋，爱爱 【优点缺点】：排骨精，无赘肉，皮肤偏黑，胸a，身材苗条，态度好，日感不错，服务时间很长，项目就三个舔胸舔蛋舔鸡鸡，但是不喊停会一直循环舔 【过程描述】：{约好时间，到目的地倾盆大雨，遥控上楼，交水费，坐在沙发上和老师聊了一会天，老师来自外省，一起沐浴，老师人照8分，身材苗条，无赘肉，皮肤光滑肤色微黑，胸a，上床后老师舔咪舔蛋，反复挑逗，没有舔了大概有半个钟头，反复挑逗，我是硬了软，软了硬…
头号玩家～真实报告 #假包赔 基础信息 【时间】：2026/8/8 【艺名】：＃潼 潼 【车牌】： @Lyt52166 【位置】：城市理想 【车费】：600P 1000PP 【是否代聊】：自聊 硬件信息 【年龄】：21左右 【颜值】：人照八到九分像 【身材】：160/90斤左右 苗条 【皮肤】：小麦色 很滑嫩 【胸部】：A到B 刚好一手握 奶头比较小 【鲍鱼】：粉色 紧度是真的很紧那种 湿度的话没有很多水 【环境】：位置比较安全，刚开始还没找到，老师下来接的 【态度】：老师很健谈，很听话，服务什么的没有敷衍 【服务】：三件套 大蟒蛇🐍 舔蛋舔胸 69 不太过分的要求老师基本上都会满足 综合评价： 【优缺点】：很健谈 老师像是和你很熟那种，没有陌生感 舔蛋真的很爽，敏感的兄弟可能会被秒 缺点就是胸不是很大那种 喜欢一手握的可以冲 【综合评分】:8 （6分下牌，7分可以冲，8分建议冲，9分非常值得冲，…
怡红院验证报告 🚗出击信息 【妹子花名】：#潼潼 【联系方式】：@Lyt52166 【验证留名】：#looonngru 【验证时间】：8.9 【所在位置】：#市中心 #锦江区 #城市理想 【修车水费】：600p 【是否代聊】： 👙软硬件数据 【标签类型】：#市中心 #嫩妹车 #舌吻 #69 #态度车#排骨精 #初下水 #敏感车 #大蟒蛇 #颜值车 #6p 【身高身材】：160cm 88斤 排骨身材 【妹子年龄】：20 【阴户类型】：小蝴蝶状，毛毛不少，湿润且紧 【凶器罩杯】：B- 奶头小，非常敏感 【环境卫生】：房间干净 卫生 【服务项目】：舌吻，大蟒蛇，69，口，爱爱，陪洗 【机车行为】：无 【优点缺点】：优点，人照8.5分，颜值不错，腰细，爱笑态度好，特别骚，服务满分，大蟒蛇狂蛇停不下来 缺点，胸掌中宝 💯综合评价 【综合评价】：好评！ 【人照评分】：8.5 【服务评分】：10 【身材评分】：9 【…
❤1
上班中😋
😄😄心情也得好好的
👍1
本姑凉回来啦😃😃😃
👍2
我向你们道歉，对不起
❤1
各位不好意思，我向这里给你们说一声对不起，因本人身体不舒服，需要去医院看看，所以暂时这两三天不开课……
❤1
顺便出来吃个午饭
嘻嘻，开课了🌹
成都修车·男团女团验车报告 🏷️基础信息 【老师花名】：#潼潼 【老师车牌】：@Lyt52166 【验证留名】：#情圣 【验证时间】：20260802 【修车水费】：600p 【所在位置】：城市理想 【验证群聊】： @CDCnantuannvtuan 👙软硬配置 【标签类型】: #排骨精 #初下水 #良家 #御姐 #嫩御 #感觉车 #敏感车 #大蟒🐍 #颜值车 #态度车 #市中心 #自聊 #6p 【老师年龄】: 20+ 【身高身材】: 160/88苗条 【胸器罩杯】: B-，奶头小 【紧度湿度】: 9分 【服务项目】: 洗吹做，水中萧，舔咪舔蛋，69，大蟒🐍 【优点缺点】: 脸儿乖，真人比照片好看， 善于聊天，无风尘气，无赘肉，蝴蝶b外褐内粉，水多敏感，女友感强，态度好情绪价值高。缺点🐻小了点点。 💋自由发挥 【过程描述】： 由于妹儿的vpn卡顿，罚站6分钟(可以忽略不计)，老师来自外省，看起来就20左右…
👍1
可以睡觉了，明天继续当牛马，哈哈
Showing the 12 most recent of 15 posts we hold for @lertyoly. 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 — 492,266 of 1,336,469entries 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.
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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“潼潼的朋友圈” (@lertyoly), 20 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/lertyoly.
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.