定制不了可以结婚的
❤1

Channel
@fuxinjulebufk
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
11,593subscribers
-193 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002040244333 |
|---|---|
| Type | Channel |
| Username | @fuxinjulebufk |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/fuxinjulebufk |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 07:52 | 11,593 | -7 |
| 29 Aug 2026, 04:45 | 11,600 | +4 |
| 28 Aug 2026, 05:04 | 11,596 | -7 |
| 27 Aug 2026, 06:23 | 11,603 | -9 |
| 26 Aug 2026, 06:58 | 11,612 | -6 |
| 25 Aug 2026, 03:36 | 11,618 | -18 |
| 23 Aug 2026, 23:14 | 11,636 | -14 |
| 22 Aug 2026, 06:38 | 11,650 | -13 |
| 20 Aug 2026, 19:19 | 11,663 | -5 |
| 19 Aug 2026, 16:47 | 11,668 | -14 |
| 18 Aug 2026, 15:05 | 11,682 | -9 |
| 17 Aug 2026, 15:55 | 11,691 | -28 |
| 16 Aug 2026, 06:58 | 11,719 | -17 |
| 14 Aug 2026, 18:08 | 11,736 | -11 |
| 12 Aug 2026, 07:57 | 11,747 | -6 |
| 11 Aug 2026, 06:46 | 11,753 | -13 |
| 10 Aug 2026, 06:35 | 11,766 | -13 |
| 9 Aug 2026, 07:54 | 11,779 | -4 |
| 8 Aug 2026, 11:04 | 11,783 | -3 |
| 7 Aug 2026, 19:31 | 11,786 | first reading |
19 posts held, back to 17 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 41 pagesof 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. It is computed over the 5 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 August 2026 |
|---|---|
| Posts held | 19 (17 July 2026 – 24 August 2026) |
| Views total | 11,011 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 23:07 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.
11 reactions across 6 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 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 6 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 11reactions 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 17 July 2026 to 24 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.
定制不了可以结婚的
❤1
找女人是奋斗动力
我收到
❤1
关于如何通过女性资料卡来判断女性长相的问题 1.通过牵线费定价 2.夜话的时候多看分析 这个是最简单的打法 如果说要自己学习怎么看 给出以下几个角度的看法 女性照片最贴近本人的照片一般是 外出自然光无修三方拍摄 (就是和朋友出去玩的时候朋友拍的无修的) 这种照片一般只会把女的拍丑 因为是自然光,这种无修图出的女性实际长相要大于真实长相,皮肤 状态女性正常妆造什么都能看出来 艺术照没有参考意义 其他的通过侧面角度正面角度看三庭五眼 通过基础数据判断女性身材比例 通过女性照片以及日常穿搭风格判断女性基础美商 这些只能说给大家给个方向去参考 详细教学很难做
❤2
我收到
福星俱乐部 (总览 / 反馈) pinned «女性的类型概述社群女性概述 1.女大 2.女高 3.小名媛 4.小白领 女大的大致玩法 一般情况女大都是周末见面,周内见不了。寒暑假地区会有变化,物质欲望一般不是很强 颜值来说不错,身材也都在线,而且有学要上,也不会一直缠着你,很适合同城那种物质关系长期。 但是这种局限性也是有的 就是你基本得是在一个大学比较多的城市一般是省会啥的,爆女大的概率会大一些。综合来看在社群资源里面女大是很不错的资源了,因为能长期相处且女的颜值审美都在线物质欲望也不是非常强。性格也不会走极端 女高的玩法 社群的女高妹 大部…»
女性的类型概述社群女性概述 1.女大 2.女高 3.小名媛 4.小白领 女大的大致玩法 一般情况女大都是周末见面,周内见不了。寒暑假地区会有变化,物质欲望一般不是很强 颜值来说不错,身材也都在线,而且有学要上,也不会一直缠着你,很适合同城那种物质关系长期。 但是这种局限性也是有的 就是你基本得是在一个大学比较多的城市一般是省会啥的,爆女大的概率会大一些。综合来看在社群资源里面女大是很不错的资源了,因为能长期相处且女的颜值审美都在线物质欲望也不是非常强。性格也不会走极端 女高的玩法 社群的女高妹 大部分都是有问题的原生家庭不行或者说沾点啥抑郁症都是常规操作 优点就是嫩服从度高,有时候能爆处女,物质需求会聊有时候能白嫖。 女高不稳定因素很多,女的基本也是在辍学边缘了 小名媛 这种成分复杂 有可能是拜金大专中专妹,有可能是无业游民 这种一般会打扮但是物质需求都蛮强 而且基本都很难长期因为物质需求强 或者说女的无业没事干基本女的…
❤3
有没有专精组局的大哥
❤1
全网极致性价比 pdd售后 深耕运营 超精细化女性分类点评分析 入会直接上瘾
福星俱乐部客服:日间客服@knkefu1 晚间客服@fxjlbnilu 双向联系客服:@xiaoyoutaibot
Sticker, posted without a caption
尼玛 我说廊坊为啥没资源 所有廊坊女的都说自己是北京的………… 挺好一北京孩子 就是是廊坊的
❤3
Showing the 12 most recent of 19 posts we hold for @fuxinjulebufk. 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 — 740,168 of 1,626,935entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“福星俱乐部 (总览 / 反馈)” (@fuxinjulebufk), 11,593 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/fuxinjulebufk.
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.