Channel
@huajian68665
On this record: Growth · Engagement · Posts · Citations · Cite this entry
183subscribers
-104 since we began measuring on 5 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003723016622 |
|---|---|
| Type | Channel |
| Username | @huajian68665 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 September 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/huajian68665 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 02:55 | 183 | -87 |
| 8 Sept 2026, 09:22 | 270 | no change |
| 8 Sept 2026, 02:58 | 270 | -17 |
| 5 Sept 2026, 20:47 | 287 | first reading |
9 posts held, back to 7 September 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 8 September 2026 |
|---|---|
| Posts held | 9 (7 September 2026 – 8 September 2026) |
| Views total | 16 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Sept 2026, 09:22 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.
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编号：【江浙其他】4184 地点：#【常州】，#溧阳 名字：雪婷 【👉点击获取美女联系方式】 年龄：20岁-25岁 类型：热情女友 身高：165cm+ 尺寸：C 起价：600 服务：洗吹做 老师真人比照片漂亮点，而且身材非常好，腿又长又直。喜欢大长腿的千万不要错过。服务过程中也不紧不慢，很有自己的节奏。有水萧、胸推、舔蛋。有一说一，老师口活真的很不错，定力不强的人，会被灵活舌头搅动到射。过程就不写了，反正出水挺顺利，体验感很好！老师看着很御姐其实非常温柔，很会照顾人的情绪，提的要求只要不是很过分都会满足。地方环境很干净，香氛很好闻，很有氛围感。好评
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编号：【江浙其他】4179 地点：#【常州】，#湖塘，#星河 名字：湖塘大胸熟女潇潇 【👉点击获取美女联系方式】 年龄：35岁-40岁 类型：风骚熟女 身高：160cm+ 尺寸：D 起价：700 服务：洗吹做+舌吻 加与你后按她给的地址过去，自己一个人住的小区，环境不错。进门后先换鞋和她一起去冲了个澡，出来时墙上挂投影已经放着黄片了，咋一看我还以为是她自己的纪录片呢!仔细一看原来是波多老师，骚货的身材很不错，不过看胸型非常漂亮和软，我就知道是真的，上手一模果然如此，摸着就是舒服。于是我便坐在床边一边看着片子一边看着她蹲下给我KJ，这骚货果然够骚，吹箫时骚话也是不断，尤其是当她的手捏着我的奶头，口里一边含着JB，眼睛还直勾匈勾的看着我，那眼神就好像要吃人一样。口完后我上床女上位插入，看着交合的地方很是刺激!做了一会后我直起身子抱着她的细腰翻过来，一边舌吻一边摇晃，然后再把骚货压在身下用正常体位干她，最后再让她翻身跪好，用后入式…
Showing the 9 most recent of 9 posts we hold for @huajian68665. 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 4 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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“江浙楼凤大全” (@huajian68665), 183 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/huajian68665.
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.