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Channel

鑫鑫的后宫

@xinxindebao

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,967subscribers

-6 since we began measuring on 2 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003595052297
TypeChannel
Username@xinxindebao
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live3 September 2026
Measurements held2
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/xinxindebao

Growth

2,9672,9732,9702 Sept 2026, 19:15 — 2,973 subscribers3 Sept 2026, 02:17 — 2,967 subscribers2 Sept 2026, 19:153 Sept 2026, 02:17
2 measurements taken within a single day, net -6. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,966–2,974 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Sept 2026, 02:172,967-6
2 Sept 2026, 19:152,973first reading

Engagement

20 posts held, back to 20 August 2026the 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
23.0%
avg views ÷ 2,967 subscribers
Avg views / post
683
20 posts measured
Reaction rate
0.122%
reactions ÷ views · ER floor
Posts in window
20
of 20 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. It is computed over the 4 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held20 (20 August 20262 September 2026)
Views total13,654
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 19:15 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.

What this channel posts

Video runtime
21s
Average length
5s

Measured directly from 4 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.

Reaction mix

4 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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 4 of the 20 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 20 August 2026 to 2 September 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.

Recent posts

2 Sept 2026, 12:00 UTC268 views2 reactionsread 2 September 2026
Photo

48814 🕰️【时间】:2025-12-24 👨🏻‍🎓【评价人用户名】: 上善若水 👩🏻‍🏫【老师名字】 鑫鑫 ✈️【老师的联系方式】: @qqqppp0622 📷【人照评分】:9分 👩🏻【颜值评分】:9分 💃🏻【身材评分】:8.5分 🤔【态度评分】:9分 💅🏻【服务评分】:9分 🏠【环境评分】:8分 💯【综合得分】:8.75分 ✍🏻【详情出击过程描述】:已经来找过鑫鑫很多次了,这次换了鑫鑫的优惠券,和鑫鑫说了这几天有事晚点去,鑫鑫答应了,然后刚好有时间的时候就约了课,还是一样到达指定地点,给房间号,见到鑫鑫,还是熟悉的脸,熟悉的身材,鑫鑫比之前更漂亮了,今天鑫鑫穿的百褶裙,和小腿袜,那腿又白又直,依旧交课费,洗澡,鑫鑫帮着洗,洗的时候打了沐浴露然后抱住我层来蹭去,我俩身上都是泡沫,然后冲干净,蹲下口,然后擦干。拉我到床上,她换上战服,这次穿的黑色开档丝袜,个黑色性感露背裙,床上一顿调情,然后带雨衣开干,各种姿势各种骚话挑

2

2 Sept 2026, 11:58 UTC241 viewsread 2 September 2026
Photo

165052 🕰️【时间】:2026-09-02 👨🏻‍🎓【评价人用户名】: TimeMachine 👩🏻‍🏫【老师名字】 鑫鑫 ✈️【老师的联系方式】: @qqqppp0623 📷【人照评分】:8.2分 👩🏻【颜值评分】:8.1分 💃🏻【身材评分】:8.1分 🤔【态度评分】:8.2分 💅🏻【服务评分】:8.0分 🏠【环境评分】:8.1分 💯【综合得分】:8.12分 ✍🏻【详情出击过程描述】:进门看见老师穿着性感的半截裙就硬了,沙发上喝茶的功夫,老师就把咪咪送到嘴边了,咪咪浑圆、又挺又软,抓起来就爱不释手。吸了会,老师就俯下身脱我的裤子了,抓着鸡儿就开始口,口技霸道,一会儿深喉、一会儿旋转,一面享受老师的口,一面摸老师下面,洪水泛滥,,开始吃老师的奶子,然后搬开老师两边的软肉,露出粉粉的嫩肉,舔一下奶子老师就开始骚话连篇,淫水潺潺,忍不了一点,戴套开搞,老师瓣开下面,让我看着插进去,老师的批是我日过最爽的一个,里面又紧又滑,

2 Sept 2026, 11:54 UTC200 viewsread 2 September 2026

💯 车评系统 | 评价模版 当前模版 【时间】:2026-09-02 【老师】:鑫鑫 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9 【服务】:8 【态度】:9 【环境】:9 【报告出处】:重庆封神榜:https://t.me/fsbbyq666 【过程】:很久没见鑫鑫了,看见老师在群里说话就约了课,刚进门,鑫鑫老师就给我准备好了拖鞋,换了拖鞋,沙发坐了一会儿,聊了会天,抱了一会,鑫鑫带我去洗澡,一个多月没见鑫鑫又瘦了,身材依旧很棒,洗澡时候,老师很主动,可能是时间久了没见太想我了,鑫鑫口活特别好,差点就直接射了!洗澡完上床,鑫鑫换上衣服,开始蹂躏我,依旧主动,等我去弄她时候她又娇羞起来了,简直像女朋友,鑫鑫一直夸我帅夸我大,做爱时骚话不断,总的来说,鑫鑫服务态度身材都很好,忍不住来评价一下,真实评价!狼友们放心耍,确实霸道!不说了。值得推荐!

2 Sept 2026, 08:05 UTC233 viewsread 2 September 2026
Photo

今天开课宝宝们 还有位置 🈶教室 🉑⬆️🚪 🉑✌️🉑包时 预约鑫鑫👉 @qqqppp0623 双向👉 @qqqppp0623BOT

1 Sept 2026, 07:23 UTC461 viewsread 2 September 2026
Photo

今天开课宝宝们 还有位置 🈶教室 🉑⬆️🚪 🉑✌️🉑包时 预约鑫鑫👉 @qqqppp0623 双向👉 @qqqppp0623BOT

24 Aug 2026, 06:15 UTC886 views1 reactionsread 2 September 2026
Photo

今天开课宝宝们 还有位置 🈶教室 🉑⬆️🚪 🉑✌️🉑包时 预约鑫鑫👉 @qqqppp0623 双向👉 @qqqppp0623BOT

1

Showing the 12 most recent of 20 posts we hold for @xinxindebao. 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.

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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“鑫鑫的后宫” (@xinxindebao), 2,967 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/xinxindebao.

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.