广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut

Channel
广州潮流一线报告
@HigKut
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
8,398subscribers
+173 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002604802497 |
|---|---|
| Type | Channel |
| Username | @HigKut |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 31 August 2026 |
| On Telegram | t.me/HigKut |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 09:25 | 8,398 | +5 |
| 28 Aug 2026, 13:13 | 8,393 | +4 |
| 25 Aug 2026, 17:25 | 8,389 | -48 |
| 22 Aug 2026, 18:28 | 8,437 | +21 |
| 19 Aug 2026, 11:16 | 8,416 | +112 |
| 16 Aug 2026, 21:52 | 8,304 | +32 |
| 13 Aug 2026, 09:08 | 8,272 | -58 |
| 10 Aug 2026, 08:48 | 8,330 | +59 |
| 7 Aug 2026, 13:32 | 8,271 | +46 |
| 6 Aug 2026, 20:46 | 8,225 | first reading |
Engagement
58 posts held, back to 14 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 26 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.79%
- avg views ÷ 8,398 subscribers
- Avg views / post
- 150
- 38 posts measured
- Reaction rate
- 0.076%
- reactions ÷ views · ER floor
- Posts in window
- 42
- of 58 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 1 of 38 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 58 (14 July 2026 – 28 August 2026) |
| Views total | 5,716 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 17:38 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 1 of the 58 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 14 July 2026 to 28 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.
Recent posts
广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut
广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut
广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut
广州潮流一线报告 https://t.me/GHKLROT 【所在位置】猎德 【老师艺名】元宝 【联系方式】@bao1236666 【验证留名】隔壁老陈 【验证时间】8.26 【上课价位】17pp 【颜值身材】颜值高 身材比例很好前凸后翘大奶子蜜桃臀 【服务内容】课本 【服务态度】超级热情 【优点缺点】大奶 服务好颜值高情绪价值拉满 【推荐程度】强烈推荐 【体验细节】多次找到元宝老师,颜值OK的服务型轻御姐,性格好 ,热情,大奶子又软又好看,屁股也大推荐女上后入,老师摇摇车也是一流,反正感觉找过元宝后都不想再找其他人了,就是天生的炮架,每次事后都很满足 温馨提示 报告仅供参考 (上报须提供付款证明或聊天证明)
广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut
广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut
广州潮流报告模板 https://t.me/RTiiuct 【所在位置】天河 【老师艺名】浅浅 【联系方式】 @xxqian0011 【验证留名】匿了 【验证时间】昨天下午 【上课价位】1700pp 【颜值身材】颜值,身材没得挑 【服务内容】各种口 做 舌吻 胸推 【服务态度】态度没得挑,无敌了 【优点缺点】颜值,身材,态度都没得挑,无敌了。 【推荐程度】这次cj是今年最完美的一次🥰 【体验细节】之前总是约不上😭这次终于约上老师了,一进门看见老师的颜值和身材,二弟直接起立。跟老师舌头缠绵后,洗个澡,还没出浴室老师直接蹲下口了起来,太刺激了。差点123,擦干后又坐在沙发上口,手握这老师两个巨乳,简直不要太幸福😋。手往下一摸,老师已经水漫金山,等不及了,戴上直接干。第一次还是有点快点😭,老师也抚摸着二弟,根本软不下去啊。歇了几分钟,第一次老师没尽兴,第二次老师太饥渴了,直接吞吐着肉棒,舌头不断刺激马眼。爽的浑身发抖,我直接把老师翻个…
广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut
广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut
广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut
广州资源分布 资源区,视频区,低价区,高价区 报告真真假假,任何定金切勿超过100 如遇态度极差或货不对版,请在各评论区留言 广州资源榜 https://t.me/miuort 广州视频榜 https://t.me/puoeuzk 广州高价榜 800到900以上 https://t.me/mdhtuzoso 广州低价榜 400到800 https://t.me/HYHgut
Showing the 12 most recent of 58 posts we hold for @HigKut. 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
Citation-graph rank — 330,525 of 1,629,571 entries 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.
Forward network
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.
Mentions
Named by 8 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.
Names
Channels on the register whose handles appear in this channel's posts.
@miuort · 51,71233 posts广州低价榜
@HYHgut · 14,40625 posts广州视频榜
@puoeuzk · 27,16725 posts广州高价榜
@mdhtuzoso · 16,49524 posts广州潮流一线
@GHKLROT · 31,33919 posts广州资源中转站
@RTiiuct · 18,4864 posts广州潮流推广群
@RGTREY · 34,8313 posts广州紫瑶宫🆑
@GHWYJM · 33,4682 posts广州高颜值榜
@mudess2362 · 4,7262 posts广州紫瑶宫推广群
@YMUHKR · 37,3952 posts倩倩❤️(新人)首次下海
@gdhuuuui · 3,5251 post广州时代推广群
@GZCLYX · 20,4551 post广州抽奖导航公示
@yuangbobo · 16,2661 post
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 31 August 2026 — this entry's latest reading, not the date you are reading this.
“广州潮流一线报告” (@HigKut), 8,398 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/HigKut.
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.