Telegram RegisterThe public register of Telegram

Channel

广州潮流一线报告

@HigKut

On this record: Growth · Engagement · Posts · Citations · Cite this entry

8,272subscribers

+47 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
TypeChannel
Username@HigKut
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/HigKut

Growth

8,2258,3308,277.56 August 2026 — 8,225 subscribers7 August 2026 — 8,271 subscribers10 August 2026 — 8,330 subscribers13 August 2026 — 8,272 subscribers8,2726 August 202613 August 2026
4 measurements spanning 7 days, net +47. 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 8,209–8,346 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 09:088,272-58
10 Aug 2026, 08:488,330+59
7 Aug 2026, 13:328,271+46
6 Aug 2026, 20:468,225first reading

Engagement

30 posts held, back to 14 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.70%
avg views ÷ 8,272 subscribers
Avg views / post
306
26 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
29
of 30 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held30 (14 July 202612 August 2026)
Views total7,952
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:31 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.

Recent posts

12 Aug 2026, 15:09 UTC4 viewsread 12 August 2026

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

12 Aug 2026, 00:25 UTC2 viewsread 12 August 2026

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

10 Aug 2026, 03:17 UTC5 viewsread 10 August 2026

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

9 Aug 2026, 07:12 UTC59 viewsread 12 August 2026

广州潮流一线报告 https://t.me/GHKLROT 【所在位置】广州天河 【老师艺名】紫苏(香奈儿学生) 【联系方式】@zisu6969 【验证留名】匿名 【验证时间】8.6号 【上课价位】6000(包时) 【颜值身材】我喜欢的类型,温柔大气,真正的巨乳肥臀。 【服务内容】剧本杀,sm,东京浴,瑶浴 【服务态度】非常满意 【优点缺点】骚,骚,骚,骚,骚,骚 【推荐程度】超级推荐 【体验细节】 紫苏老师休假时我就已经提前预约了她开课后头课,果然不负我期待,进门热情欢迎仪式,很是温暖,小弟立马起来了,缠绵着冲凉鸳鸯浴,水中潇,口水拉丝,淫荡的样子看的很是喜欢,东京浴乳交很爽,超大超柔软的奶子做乳交真的很绝,还有魔棒,虽然之前也体验过类似的,但是苏苏魔棒就是让我好爽好舒服,就喜欢苏苏给我磨啊磨,大胸大屁股磨的又痒又舒服,唉,不知道苏苏怎么做到胸大腰细臀大,而且这身材还是纯天然的,手感超绝。光是这身材就够我玩很久了。 温馨提示

9 Aug 2026, 03:09 UTC5 viewsread 9 August 2026

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

8 Aug 2026, 21:07 UTC1 viewsread 8 August 2026

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

8 Aug 2026, 15:09 UTC9 viewsread 8 August 2026

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

7 Aug 2026, 11:13 UTC56 viewsread 10 August 2026
Photo

🎰 倩倩半价口令红包,兑奖有效期10天 @DGGH66 📮 抽奖条件: 🎫 加入-广州高颜值榜 🎫 加入-广州资源榜 🎫 加入-广州潮流推广群 🎫 加入-广州潮流一线 🎫 加入-广州潮流一线报告 🎫 加入-倩倩❤️(新人)首次下海 🎁 奖品内容: 28口令红包 × 1 1p半价优惠券 × 1 💡 活动说明: 倩倩半价口令红包,兑奖有效期10天 @DGGH66 📅 开奖日期:(UTC+8) 2026年08月10日 19时13分02秒

7 Aug 2026, 06:53 UTC629 viewsread 12 August 2026

广州潮流一线报告 https://t.me/GHKLROT 【所在位置】广州天河 【老师艺名】梦瑶 【联系方式】@mengyao202544 【验证留名】FS 【验证时间】8,7.号 【上课价位】18pp 【颜值身材】98分,写太多怕骄傲, 【服务内容】课表都有 【服务态度】相当好 【优点缺点】一线天,白虎 【推荐程度】大力推荐 【体验细节】:到楼下,老师遥控上楼,开门就能看见小姐姐笑眯眯的请你进去,仔细看了一下,漂亮好看一眼就能认出和频道一致的老师,也是自聊的,当时就觉得这次来对了,之后就是洗澡,老师会和你一起洗,从躺到床上起,服务就正式开始了,老师会先问你要不要穿黑丝,穿好后就开始服务,身材是真的好,胸大腰细,皮肤超级白,还无毛,很好看,老师的小穴很紧,有很明显的插入感,各种姿势都非常配合,感觉就像是很熟悉自己身体的女朋友一样,最后抱着她冲刺射出浓精,最后在依依不舍,出国回来再来看梦瑶!值得来,很棒!

7 Aug 2026, 01:54 UTC62 viewsread 12 August 2026
Photo

💐💐💐开奖了💐💐💐 口令红包66,兑奖联系频道管理员 https://t.me/RTiiuct 开奖了! 本期总参与人数: 3869 1- 半倚深秋 获得:66口令红包 谨祝中奖用户大吉大利万事顺意

Showing the 12 most recent of 30 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 — 118,166 of 1,189,255entries 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 7 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“广州潮流一线报告” (@HigKut), 8,272 subscribers as measured 13 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.