Engagement
4 posts held, back to 30 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 · 30 days
- 0.163%
- avg views ÷ 613 subscribers
- Avg views / post
- 1.0
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- of 4 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.
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.
Recent posts
30 Sept 2026, 23:29 UTC1 viewsread 1 October 2026 Photo
编号:2609274322 (点击复制)
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y6575
省份;新疆a779
城市;库尔勒
年龄:18
身高:168
体重:39
🐻杯: b
职业:雪生
能否飞外地:否
能否过夜/同居:可过夜
是否抽烟/纹身:有
能否kou:可
能否体检后不d/🐍: 否
预期费用:6k
每🈷️可陪天数: 3天6k
能否接受sm : 否
是否chu女: 否
可分几次付:2
姨妈时间:31-4
是否可去港澳;否
自我加分项:哈萨克族 会跳舞唱歌 什么都可以干 高中生
雷点(不接受):
介绍费:7888 y A5
联系客服:小熙
联系客服:小…
Signed 红楼上架机器人
30 Sept 2026, 19:10 UTC1 viewsread 1 October 2026 Photo
编号:2609273731 (点击复制)
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sun927
名称:小太阳c84
省份:上海
城市:上海
年龄:06
身高: 172
体重: 60
罩杯: c
职业: 雪生
学历:本科
是否chu: 否
能否口:可
能否无套:不
能否内射 否
能否SM: 不
能否过夜:可
能否同居:可
有没有纹身:无
能否飞外省:可
能否出国:可新马泰免签国
每月陪伴天数:3
期望零花钱:1.8w
分几次支付零花钱:2
找金主的原因:缺钱
自我评价:在读大一学生 会跳新疆民族舞蹈 酒量五颗🌟无不良嗜好 喜欢健身 身材苗条
介绍费:7888小太阳…
Signed 红楼上架机器人
30 Sept 2026, 17:16 UTC1 viewsread 1 October 2026 Photo
编号:2609273473 (点击复制)
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省份:新疆
城市: 乌鲁木齐
年龄:19
身高:175
体重:57
罩杯: 36c
职业: 贷款公司法诉
是否chu女:否
是否能口:是
是否能SM:是
是否能无套(体检或测试纸后):不
是否能内设:不
是否能同居:否
是否能过夜:是
月可陪伴天数:3天
最快出发时间:
大姨妈几号来:
可否飞其他城市:可
有无港澳通行证:无
是否抽烟或纹身:有
不能接受的雷点:不能茶菊花
生活费需要多少: 1.5w
(生活费接受分几次):两次
自我加分项(优点加分项):真诚 为人和善 我会照顾好你 我属于温柔体贴型,懂事,为他人着想,我比较安静内敛需要我活跃气氛的时候也可以外向。我的风格 可多变 性格温柔 活泼 开朗,会给你满满情绪价值,善解人意。懂礼仪谈吐文雅有素质 情商高 不会冷场,情绪稳定不做作,会唱歌、跳舞 是个开朗乐观的小太阳,擅长沟通交流,…
Signed 红楼上架机器人
30 Sept 2026, 15:38 UTC1 viewsread 1 October 2026 Photo
编号:2609273249 (点击复制)
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:笙笙
省份:新疆
城市:泽普
年龄:18
身高:167
体重:110
罩杯:B~C
什么职业或雪生:❄️生
雷点(不能接受):
是否chu女:否
能否接受SM:
能否接受无套:可以偶尔不戴
能否接受口:否
可否过夜:否
可否同居:可
姨妈期:无固定时间
短期月可陪几天/费用:1/200
长期月可陪几天/费用:
可否飞往外省:否
可否去港澳/有无通行Z:无
生活费可分2/3/4次付:1
自我加分项:听话 乖巧 懂事
介绍费 :8888
C 528 CC
联系客服:小熙
联系客服:小甜
联系客服:小萌
【便捷选妃-地区分类】
Signed 红楼上架机器人
Showing the 4 most recent of 4 posts we hold for @honglouxinjiang. 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.
Mentions
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.
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 6 October 2026 — this
entry's latest reading, not the date you are reading this.
“新疆包养伴游【红楼选妃馆】” (@honglouxinjiang), 613 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/honglouxinjiang.
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.