【时间】:2026-08-31 【老师】:涵涵 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】:姐姐非常可爱,温柔甜美,服务过程骚的不行,搞得我这不经人事的小处男大脑一片空白,情绪价值拉满,必须推荐
❤2

Channel
@hanhanfzhou
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
631subscribers
+49 since we began measuring on 3 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003930230716 |
|---|---|
| Type | Channel |
| Username | @hanhanfzhou |
| Created | Between 1 April 2026 and 13 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 3 September 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 September 2026 |
| On Telegram | t.me/hanhanfzhou |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Sept 2026, 08:37 | 631 | +40 |
| 4 Sept 2026, 23:57 | 591 | +9 |
| 3 Sept 2026, 19:22 | 582 | no change |
| 3 Sept 2026, 18:47 | 582 | first reading |
19 posts held, back to 13 July 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 page of 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 31 August 2026 |
|---|---|
| Posts held | 19 (13 July 2026 – 31 August 2026) |
| Views total | 2,634 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 19:22 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.
18 reactions across 15 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 18 | 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 16 of the 19 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 18 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 13 July 2026 to 31 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.
【时间】:2026-08-31 【老师】:涵涵 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】:姐姐非常可爱,温柔甜美,服务过程骚的不行,搞得我这不经人事的小处男大脑一片空白,情绪价值拉满,必须推荐
❤2
五次来福州出差,三次找我,两次我不在,好开心啊!还有这么忠实的粉丝!每个人都有自己独特的魅力,好好绽放就行🥰
❤1
楼凤的宝宝们 口口相传!😊😊😊
❤1
开课了 宝宝们!🥰
❤1
红休了 开课了通知!谢谢宝宝们的支持!💋
弄完了,表哥拿出随身携带的检测纸😳😳
❤1
你还想咋玩,露天😜😜😜
❤1
被人肯定真的超开心,我希望每个选择我的都愿意对外说声很好!😜谢谢这位哥哥给我推广😛😛😛
❤1
【所在地区】闽侯 【老师艺名】涵涵 【联系方式】@hanhanfz 【验证留名】 涵涵 【验证日期】 8.8 【上课价位】 800 【人照几分】 9.1 【身材几分】 8.6 【推荐几分】 10 【服务过程】 见面的时候就看到是个真个照片跟本人一样的 比起很多诈骗犯 骗定金 骗车费 骗别人的血汗钱的 来说 还是很讲良心的 关键是不会催别人 不会白眼阴阳别人 尊重了消费者 我的内心得到了极大满足感 我过生日的时候一定要来包夜,让姐姐好好陪陪我 推荐⭐数(上限五⭐):5颗星 打分:10分无脑冲
❤1
你有空吗?我想约你😜😜
我的快乐很简单,来自每一个GG的认可😛😛😛
❤1
验证日期 8.1 人照9分 老师提供情绪价值极高。服务流程完善,进门会帮忙洗干净,本人做的pp,休息期间老师做其他服务,老师非常健谈,聊天很有意思,服务过程认真细致,体验到了其他地方完全没有的体验,实打实的体验派。好评!
❤3
Showing the 12 most recent of 19 posts we hold for @hanhanfzhou. 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.
Named by 3 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.
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 12 September 2026 — this entry's latest reading, not the date you are reading this.
“福州涵涵的个人频道(可外可✌🏻)” (@hanhanfzhou), 631 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/hanhanfzhou.
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.