Channel
@jinli6969
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
46,448subscribers
-5,278 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003673574132 |
|---|---|
| Type | Channel |
| Username | @jinli6969 |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/jinli6969 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 21:05 | 46,448 | -1,119 |
| 13 Aug 2026, 11:58 | 47,567 | -677 |
| 12 Aug 2026, 15:18 | 48,244 | -516 |
| 11 Aug 2026, 17:36 | 48,760 | -1,417 |
| 10 Aug 2026, 15:02 | 50,177 | -475 |
| 9 Aug 2026, 17:02 | 50,652 | -695 |
| 8 Aug 2026, 17:38 | 51,347 | -379 |
| 8 Aug 2026, 05:20 | 51,726 | no change |
| 8 Aug 2026, 05:19 | 51,726 | first reading |
43 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 20 pagesof 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 37 of 43 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 43 (1 August 2026 – 15 August 2026) |
| Views total | 331,890 |
| Reactions total | 133 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 12:15 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 15 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 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.
133 reactions across 26 posts, in 9 distinct kinds. The most used accounts for 56.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 75 | 56.4% | |
| 💩 | 17 | 12.8% | |
| 🤡 | 17 | 12.8% | |
| 👍 | 12 | 9.02% | |
| 🤯 | 6 | 4.51% | |
| 🤣 | 3 | 2.26% | |
| 👏 | 1 | 0.752% | |
| 😁 | 1 | 0.752% | |
| 🥰 | 1 | 0.752% |
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 37 of the 43 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 133reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 1 August 2026 to 15 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.
又做了个春梦，醒了更爱你们了。 梦里我成了拉拉，两个女人勾引我，一个胸好大好饱满啊，估计有E罩杯。我一直把玩，还有一个也就A还软。捏了一把就没兴趣了。然后大奶的一直舔我，好舒服。嘻嘻😜 那天有个学生说他是大奶控前几天约的E以上的，但是还约了我。好在那个老师两次都是手打，我秒了他两次。他写报告结尾还特么说我胸小。Sad https://t.me/jinli2005 教师节抽奖了，我爱你们。
❤4
@zfyxdg 下次剧情我是俊俊妈，一个性冷淡的女人。儿子俊俊的校长是雨夜变态强奸犯，把俊俊妈强奸，俊俊妈竟然高潮了。 俊俊，妈妈又被灌满了。5555 @zfyxdg
Voice message, posted without a caption
学生赤巨资买的丝袜，我是银屌大王。叫一声股神我敢答应。
🤯6❤1🤣1😁1
Voice message, posted without a caption
Voice message, posted without a caption
❤1
卧槽，我怎么又跌停了，早晨还是红的。说好到月球呢，怎么干十八层地狱了？
我已爱上Ai。
https://t.me/jindexiangcebot?start=8a388a65 。
https://t.me/jindexiangcebot?start=c76c7720 没炒股又不需要养家时候的梦都像隔着糖纸看世界世界：斑驳的彩色;还沾着一丝甜。亏的来做鸡每天做梦都好似水汽氤氲的沼泽梦里似乎随时都会把你吞没。 曾经有个帖子专门谈到过电影，我心里Top.1是《肖申克的救赎》关于信仰，坚持，希望和自我救赎。并且在以前的频道专门写过影评。最近说沈腾的《龙餐馆》评价非常高。准备哪天去看看。感觉有点模仿《卢旺达大饭店》。 国人骄傲压抑又脆弱的爱国情绪随时都会因为一个火种而爆发，好像一部电影就可以让中国电影跻身于世界舞台。用现在的技术前人的思路来和几十年前的作品比较本身就是不公平的。 文牧野作为第五代导演固然厉害，但是《我不是药神》也有《达拉斯买家俱乐部》的影子。看过千本电影和纪录片。希望这次《龙餐馆》可以打我脸。我是如此爱我的祖国希望他强大，而不是奶头乐，粉饰太平。 不要问我怎么不拍片了，因为目前我的片在骚逼赛道…
❤7
感受到了世界满满的诚意。手机破这样都不舍得修，今天又吃个跌停，马上悟道了。
🤣2❤1
谢谢你们来看我啊，这两天我才懂颜狗的幸福，谢谢你们不做颜狗来日我。我爱你们，我将永远炒股永远和你们在一起，永远给你们加菜。
❤2
Showing the 12 most recent of 43 posts we hold for @jinli6969. 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.
@jinli6969 edited 1 post 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.
Citation-graph rank — 274,097 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.
Named by 2 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“骚视频看频道里链接” (@jinli6969), 46,448 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/jinli6969.
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.