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Channel
🦋林瑾瑶的频道
@lingjingyao
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,241subscribers
+10 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003540034055 |
|---|---|
| Type | Channel |
| Username | @lingjingyao |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/lingjingyao |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 11:24 | 2,241 | +5 |
| 10 Aug 2026, 07:53 | 2,236 | +5 |
| 7 Aug 2026, 02:58 | 2,231 | no change |
| 6 Aug 2026, 20:32 | 2,231 | first reading |
Engagement
14 posts held, back to 14 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 26.8%
- avg views ÷ 2,241 subscribers
- Avg views / post
- 601
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- 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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 14 (14 June 2026 – 6 August 2026) |
| Views total | 601 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:49 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.
Reaction mix
32 reactions across 7 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 32 | 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 7 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 32reactions 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 14 June 2026 to 6 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
🦋林瑾瑶的频道 pinned «非常抱歉,因瑾瑶家里老人身体不好,需要回老家看望,5-10号课程取消。下次课程依然会在此频道提前通知。»
非常抱歉,因瑾瑶家里老人身体不好,需要回老家看望,5-10号课程取消。下次课程依然会在此频道提前通知。
健身真的没必要炫耀!就好像我2026年6月30日周二下午三点臀推160kg做组这件事没必要发出来,因为我知道臀推160kg做组的人多的是,发出来我臀推160kg做组就显得我好像很在意似的,其实不止我知道自己臀推160kg做组了,别人也知道我现在臀推160kg做组,臀推160kg做组就做呗,反正我2026年6月30日周二下午三点臀推160kg做组了
❤14
🦋林瑾瑶的频道 pinned Deleted message
林瑾瑶 @linjinyao1 很早就注意到妹子,但一直没有下定决心,一来代聊让我有点怕怕的,二来妹子照片显得腿似乎有点粗(实际情况完全不符),直到很多人都赞美妹子玲珑有致的身材以及上海滩顶美的颜值,终于下定决心提前和代聊约好了时间。 推开门,坐在沙发上是一个俏生生的小美妞,颜值一刹那真的惊艳到我,很负责任的说比频道里面的照片还原度100%,甚至更高:CJ生涯中正脸前五,侧脸前三。同时全身一套lululemon的运动装,把凹凸有致的身材勾勒的非常到位,双腿笔直,虽非极品美腿,但线条和力量感很强,的确是非常有差异化的一个妹子,美中不足的是科技熊,妹子也很后悔,原来的B是完全够用的。妹子性格比较i,没有陪浴,但有问必有答,内心是个很温柔善良的小妹妹。 具体到床上,妹子非服务系,简单三点口;但胜在温润紧致和顶美的颜值,让整个流程还是非常的舒爽。男人真的是视觉动物,看着那一张俊美的脸蛋,感受着这样的美人被你按在身下,瞬间汹涌的多巴…
❤7
用自律和汗水换来的翘臀,你要撞一下试试吗?
❤1
【时间】:2026-06-22 【老师】:林瑾瑶 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:10 【服务】:8 【态度】:10 【环境】:9 【综合】:9.5 【过程】:欠了好几天了,写一下林瑾瑶的报告,1800p写报告减200,这是我这个懒鬼写报告的唯一动力,不知道是市场不行了还是太行了,这两年女友感爆表的老师逐渐出现,市场不再是单纯的钱货两清交易,在交易中加了足够的附加价值,而林老师正是情绪价值可以排前三的存在。先说硬件,甜妹脸御姐身,167裸高,高马尾像日漫里那个永远充斥活力的美少女学妹,好看的定义有很多,林老师的妈生脸无疑充分满足定义。人的生命中一定会碰见对你笑就让你不敢直视的人,林老师便是如此,不必去赘述五官,用现在年轻人的打分体系就是夯。再说身材,c被马甲线,真实每天健身,唯一可惜的是胸有点科技,远看你会觉得胸就该长在这个地方,但是摸上去还是会有一些遗憾,自然教派的兄弟们知道我在说什么。我没有过面对青…
❤4
🦋林瑾瑶的频道 pinned Deleted message
在背后说我坏话的时候记得先欣赏我的翘臀
❤1
🦋林瑾瑶的频道 pinned Deleted message
抽奖光明顶5-6月狼友大狂欢!(编号L177995232971)已成功开奖: 创建人:柏林[7198140553] 已参与人数:700 中奖名单如下: Robin[6017967996](奖品为光明币 100 (就是rmb红包)) 夕颜亭[6262911513](奖品为光明币 100 (就是rmb红包)) 当少爷好难[6971213985](奖品为8位老师任意选择一位 白嫖 p 名额) Lionel[7819012158](奖品为光明币 100 (就是rmb红包)) 贾[8592627887](奖品为女仆私影 半价名额) 兑奖联系: @dibaihaowan
Showing the 12 most recent of 14 posts we hold for @lingjingyao. 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 — 899,196 of 1,480,688entries 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 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“🦋林瑾瑶的频道” (@lingjingyao), 2,241 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/lingjingyao.
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.