Channel
@qinghfg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
424subscribers
-10 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002179639720 |
|---|---|
| Type | Channel |
| Username | @qinghfg |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/qinghfg |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 14:47 | 424 | -10 |
| 8 Aug 2026, 07:00 | 434 | no change |
| 8 Aug 2026, 06:53 | 434 | first reading |
16 posts held, back to 26 April 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.
| Window | Rolling 30 days · latest post in window 1 August 2026 |
|---|---|
| Posts held | 16 (26 April 2026 – 1 August 2026) |
| Views total | 158 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 07:00 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.
Measured directly from 2 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.
21 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 52.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 11 | 52.4% | |
| ❤ | 6 | 28.6% | |
| 🔥 | 2 | 9.52% | |
| 🥰 | 2 | 9.52% |
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 12 of the 16 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 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 26 April 2026 to 1 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.
出击报告：https://t.me/ycfah 验证留名：南穆 上课时间：7.30 老师花名：#晴晴 位置坐标：#福田 上课花费：700p 出击体验：推门而入,看见漂亮的妹妹站在门后，穿着裙子若隐若现很性感，声音温柔动听，态度和蔼，人照合一，是我喜欢的类型，付了水费，开始一起洗澡，身材诱人胸有料，很赞，很性感，洗了差不多，开始跪下来给我口，哇，这口活很不错啊，紧紧的包裹。还转动舌头，口活就应该这样，擦干净床上服务，我躺下，开始舔我，从胸到弟弟，口活还挺不错的，太硬了，就开始做，下面很紧，水也很多，插一会儿就咕叽咕叽的水声，换了几个姿势，也非常的配合，不机车，看得出来妹子很舒服，表情很到位，有时候会抖一下，感觉到下面紧紧箍着几把，非常舒服，临走时不忘抱抱，温存一下，很舒服的体验，妹子真的赞，必返 优点缺点： 前凸后翘，大长腿 推荐程度：9.9分 联系方式：@pqihsl 温馨提醒：报告仅供参考，请理性选择，切勿对号入座
来咯🚗，周末兼职开课🈳
福田🎀 晴晴 pinned a video
福田 性感身材🚗好🅿️车
❤1
简简单单的小美好😘
❤2
出击报告：https://t.me/qingloucjbg 验证留名：哈基米 上课时间：7-2 老师花名：#晴晴 位置坐标：#福田 上课花费：700p 服务内容：课表上都可以 出击体验：平时比较少出击，今天在深圳出差，偶然刷到老师，直接联系出击。进门看到老师，人照9成，就是妆容有点区别，也可能是照片有滤镜，总的来说很ok，然后交水费洗澡，脱衣服时候仔细看了一下老师pp真的大，身材不错，皮肤也很白，胸手感很有弹性，软软嫩嫩的，所以捏起很柔软舒服，洗完澡，躺上秒变小妖精，边吃丁丁，边发出诱人的声音，一番下来带帽开始，粉粉嫩嫩的小穴凑了过来，小穴里面温暖湿润，抽插数次后，听到了运动摩擦的水声，连续换了几个位，老师相当配合，后入看着大臀汹涌一阵舒坦，最后传教抱着出货。总的来说老师很不错，表情叫声到位，感觉是很满意的出击。 优点缺点：漂亮，丰满，性感，尤物 推荐程度：十分 联系方式：@pqihsl
👍1
🈲1️⃣8️⃣🙈
🔥2👍1
美美的我，有出现了😘
❤1👍1
【验证报告】： https://t.me/lkzhyd 【验证留名】：满填 【上课时间】：5-25 【老师花名】：#晴晴 【位置坐标】：#福田 【上课费用】：700p 【服务内容】：课表上 【出击体验】：人照无差，人美声甜身材好，我觉得本人比照片好看太多，照片完全没把老师的颜值照出来，本人比照片好看一点，属于不上镜的类型。御姐身材体重100斤左右，本人比照片瘦，身材真的好啊！没有一丝赘肉，胸很挺拔，手感非常很不错，皮肤白嫩滑，臀部非常翘且弹！少见的口技一流，很多人绝对123，床上很反差，爱爱很配合，声音好听且哪个姿势都很契合，最后用后入式，傲人得身材尽收眼底，还摸着她那一对咪咪，实在忍不住了，全部给她了。 【优点缺点】：颜值、身材、服务态…
👍2🥰1
今天有课，喜欢裸着呢🈳
❤1👍1
福田开课，制服准备好了👠👙
👍2
【验证报告】： https://t.me/lkzhyd 【验证留名】：机器猫 【上课时间】：5/18 【老师花名】：#晴晴 【位置坐标】：福田 【上课费用】：700一P 【服务内容】：课表上的 【出击体验】：已经二刷老师了，没办法实在忍不住，今天难得有空，就赶紧联系晴晴老师，饥渴难耐了，直接到了课室，目光转到晴晴身上，居家服穿着就很诱人。胸前两座山峰，我直接就是一头闷进去，猛吸了两口。老二已经硬的不行了，旗杆竖起来了，把补课费交了就赶紧去洗澡，晴晴是有陪浴服务的，全程不需要我动手，牛牛越洗越高，晴晴直接一个深喉，然后含情脉脉的看着我，不断的用舌头摸索，我直接僵在那里，是在是太爽了。 浴室出来，还帮我擦干净身体，擦的时候，还不忘挑逗下牛牛。…
👍1
Showing the 12 most recent of 16 posts we hold for @qinghfg. 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 — 1,024,619 of 1,548,671entries 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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“福田🎀 晴晴” (@qinghfg), 424 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/qinghfg.
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.