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Channel

惠州 无忧探店

@wytnp

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

1,292subscribers

+861 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1004453482094
TypeChannel
Username@wytnp
CreatedBetween 1 June 2026 and 13 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live27 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/wytnp

Growth

4311,292861.56 August 2026 — 431 subscribers7 August 2026 — 450 subscribers16 August 2026 — 582 subscribers24 August 2026 — 1,265 subscribers27 August 2026 — 1,292 subscribers6 August 202627 August 2026
5 measurements spanning 20 days, net +861. 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 302–1,421 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 00:121,292+27
24 Aug 2026, 03:121,265+683
16 Aug 2026, 07:08582+132
7 Aug 2026, 19:32450+19
6 Aug 2026, 23:02431first reading

Engagement

19 posts held, back to 13 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
27.4%
avg views ÷ 1,292 subscribers
Avg views / post
354
5 posts measured
Reaction rate
0.495%
reactions ÷ views · ER floor
Posts in window
6
of 19 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 5 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 5 August 2026
Posts held19 (13 July 20265 August 2026)
Views total1,772
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 23:02 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

48 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 56.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2756.3%
👍918.8%
💯714.6%
🙏36.25%
🔥24.17%

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 14 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 48reactions 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 13 July 2026 to 5 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

5 Aug 2026, 15:28 UTC157 viewsread 6 August 2026
Video

#惠州 #无忧探店 第🔤3️⃣期 探店 的是 小灵老师 本人更加好看、嫩妹、小巧玲珑、‘ 胸大、肉肉的 ⬇️ 老师资料在评论区 ⬇️

3 Aug 2026, 10:18 UTC236 views1 reactionsread 6 August 2026
Video

#惠州 #陈江 #扫街 白天基本上都没什么人,但是还有,很少, 白天用应该都在打游击,性价比比较高, 80-150块钱,还可以讨价还价, 以前年轻的很多,现在年轻的都没有了,现在都在做网络了,也跟着时代变化,现在都是一些留守的大姐,跟啊姨,年龄比较大,偶尔能碰到年轻的,行业也不好干, 以前一条街可能上百个都有,也有不玩瞎逛的,就喜欢看,去过的,大家应该都知道、以前很热闹、 成群结队的、3-5好友一起 、现在没有以前的那种快乐了。 说不出来的那种心酸、 以前环境差选择多价格低、现在环境好、钱包顶不住质量也不行。 当年十里鸡繁华、如今满目鸡荒凉

👍1

1 Aug 2026, 10:18 UTC454 views3 reactionsread 6 August 2026
Video

#惠州 #无忧探店 第🔤2️⃣期 探店 的是 啊妤老师 本人比照片更加好看、身材前凸后翘、‘ 女友感超强、主动、热情、耐心、健谈 ⬇️ 老师资料在评论区 ⬇️

2🔥1

31 Jul 2026, 09:05 UTC384 views2 reactionsread 6 August 2026
Video

#惠州 #群友投稿 小野丽莎 出击了那么多老师、让我印象最深刻的老师之一、服务超好、个人认为服务系列里面的天花板。 照片虽然只有7分相似、但是老师的服务是真的顶。 身材好、奶子很大很软、口技顶满。就很AV女痴一样。 很骚、跟课表介绍的一样,进门就挑逗、各种诱惑。 老师的制服丝袜很多、随便选、课表的服务都有 高端小区、课室环境很好、位置好找。 看到能投稿、果断出手。 服务超级好、很有耐心. 重点很细节、主打服务、出完水老师给你口干净。 超值、日式服务天花板、绝非浪得虚名 喜欢服务的、超级推荐。 ⬇️ 老师资料在评论区 ⬇️

1👍1

29 Jul 2026, 07:27 UTC541 views2 reactionsread 6 August 2026
Video

#惠州 #无忧探店 第🔤🔤期 探店 的是 婉婉老师 人照合一、身材好、前凸后翘、‘ 没有落差感。冷艳女王系。 ⬇️ 老师资料在评论区 ⬇️

👍1💯1

25 Jul 2026, 08:17 UTC710 views10 reactionsread 6 August 2026
Video

#惠州 #无忧探店 第🔤0️⃣期 探店 的是 温妮莎老师 人照合一、苗条身材好 高挑大床腿、说话声音嗲嗲、很温柔 ⬇️ 老师资料在评论区 ⬇️

💯4👍3🙏3

22 Jul 2026, 10:17 UTC767 views7 reactionsread 6 August 2026
Video

#惠州 #无忧探店 第9️⃣期 探店 的是 乔菲老师 本人比照片、更好看、一见倾心。 苗条清瘦、白衣天使 ⬇️ 老师资料在评论区 ⬇️

3👍2💯2

20 Jul 2026, 08:15 UTC664 views4 reactionsread 6 August 2026
Video

#惠州 #淡水 #扫街 以前淡水夜里比白天还要热闹、KTV 酒楼 宵夜档、天天饱满。 到处都是外来的生意人、现在不少老店都关门了、街道都冷清的不行。 以前白天出去、走在路上、路过的、摩的佬都会问你、要不要小妹、一条龙、现在寥寥无几、城市的热闹,留不住永恒。 如果你没有钱、淡水就是淡水、只有快餐和出租屋。 只要你有钱、淡水是纸醉金迷的乐都 虽然落寞了、但是还流传、千山万水、不如淡水。

3🔥1

18 Jul 2026, 07:22 UTC788 views4 reactionsread 6 August 2026
Photo

#惠州 #群友投稿 恩素 实地探访老师,关注惠州无忧、 解锁独家内容、优质内容持续输出。 今天分享的老师,位置河南岸、艺名恩素 本人约恩素很多次了、情绪价值超高、满满的女友感。 照片一致、清纯、可爱、热情、主动、体贴、放的开、亲和力拉满。 年龄20岁,身高很高、身材还有料,胸也不小、 住高端小区、课室环境很好、位置好找。 出击了很多老师、唯独偏爱恩素。看到能投稿、果断出手。 1P800/的价格在惠州很高了、500的给不了嫩、 600的给不了颜值、700的给不了情绪价值。 嗯 800的恩素、既给年龄又给颜值、还给情绪价值、 服务又好、又体贴、很有耐心. 包揽了我所有的喜好、我个人观点超值。 年轻漂亮身材好服务好又体贴。谢谢 ⬇️ 老师资料在评论区 ⬇️

3👍1

17 Jul 2026, 06:38 UTC696 views2 reactionsread 6 August 2026
Video

#惠州 #仲恺 #扫街 靠近的可以去看看、白天没有看到好的、晚上应该就出来了 也没有。具体问、就是带大家看看、附近工厂很多、肯定是有的、晚上应该就很多。

2

16 Jul 2026, 05:46 UTC840 views2 reactionsread 6 August 2026
Video

#惠州 #无忧探店 第8️⃣期 探店 的是 糖宝老师 清纯美少女、本人更漂亮 身材苗条、女友感强 ⬇️ 老师资料在评论区 ⬇️

2

Showing the 12 most recent of 19 posts we hold for @wytnp. 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 — 612,149 of 1,621,120entries 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.

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

“惠州 无忧探店” (@wytnp), 1,292 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/wytnp.

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.