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Channel

瑞城故事汇

@bravorick

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

204subscribers

+15 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003774697440
TypeChannel
Username@bravorick
CreatedBetween 1 February 2026 and 16 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live22 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/bravorick

Growth

187204195.57 August 2026 — 189 subscribers8 August 2026 — 187 subscribers8 August 2026 — 187 subscribers15 August 2026 — 192 subscribers22 August 2026 — 204 subscribers7 August 202622 August 2026
5 measurements spanning 15 days, net +15. 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 184–207 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 20:19204+12
15 Aug 2026, 06:18192+5
8 Aug 2026, 12:05187no change
8 Aug 2026, 11:27187-2
7 Aug 2026, 19:10189first reading

Engagement

14 posts held, back to 16 June 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
83.2%
avg views ÷ 204 subscribers
Avg views / post
170
3 posts measured
Reaction rate
0.982%
reactions ÷ views · ER floor
Posts in window
5
of 14 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 6 August 2026
Posts held14 (16 June 20266 August 2026)
Views total509
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:05 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

20 reactions across 6 posts, in 7 distinct kinds. The most used accounts for 45.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
945.0%
🤡525.0%
😁210.0%
🌚15.00%
💩15.00%
🖕15.00%
🤬15.00%

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 7 of the 14 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 16 June 2026 to 6 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

6 Aug 2026, 06:38 UTC98 views1 reactionsread 8 August 2026
Photo

🎖精英车评🎖 【联系】:西安仙女阁 @XNG_521 【时间】:2026-08-06 【老师】:uk @uk029 【人照】:放的照片去美颜基本就是本人 【颜值】: 颜值中等,参考人照,根据个人审美自己斟酌 【身材】:少妇身材,身材还没走样,皮肤较光滑,胸A+,有一丢丢松垮,但不严重能接受。身高165不到 【态度】: 满分 【舌吻】: 配合且通透,舌头灵活且长 【口活】: 顶级 【昆感】:水大,个人感觉挺紧 【环境】:电视塔附近小区,该有的都有 【情景再现】 本来约12点半公司没啥事所以提前跑路了,沟通后改为11.30头课,老师也刚到教室没多久,路上没带伞,电视塔出来雨贼大,抵达教室已浑身湿透。老师给留了门,进门感觉人照差距不大,交费上课。浑身湿透先脱衣冲澡,老师挂好衣服给我放水。 陪洗认真,洗的时候点评了牛子。洗完好大儿擦身体,擦到下半身蹲下身子开始对着牛子吞吐,捧着牛子边吃边拿浴巾擦拭腿部。往右扭头有个洗漱

🤡1

2 Aug 2026, 14:01 UTC210 views4 reactionsread 8 August 2026
Photo

😥之前对频道怎么做没啥想法,就打算搞纯测评,后来个人感觉没啥意思,我不擅长,写的太干巴了感觉,导致频道完全更新不动。想了想打算换个方式做,以后就个人的精品车评+故事汇的形式展示吧,毕竟兴趣才是为爱发电的动力源。 本人文邹邹又时长感慨,输出自己擅长的内容才能坚持。老师的客观描述我也会提,但今后不会作为重点了。有任何意见可以私我机器人提,采纳有大额口令奉上。 之前出击了那么多,我会挑一些有趣的内容,回忆后放到频道,导航的大部分老师就把我之前群里写的车评直接复制调整照搬过来了,之后去的会更用心的记录。 最后,做着玩的,大家笑一笑就好🤡

4

2 Aug 2026, 12:58 UTC201 views0 reactionsread 8 August 2026
Photo

【店名服务】:半梦私影999套餐 【妹子花名】:鱼崽 【所在位置】:中贸广场 【身高身材】:168左右,又长又直的完美腿型 【颜值皮肤】:颜值很顶,皮肤白皙光滑(我放的这张图不去美颜就是本人🤪) 【瑕疵缺点】:没啥瑕疵,可能🐻比较小算? 【优点推荐点】:看着性格清冷,相处发现是个话痨,尺度中上,皮肤非常好 【情景再现】:头一晚来半梦家的时候,一眼就注意到了这个整体穿着打扮偏粉,妆造精致的小姑娘,颜值完全符合个人审美。问了老板这是哪位,知道了她叫鱼崽,由于时间对不上所以没能上课,第二天果断继续前往,让老板给留了鱼崽。 进门闲聊几句后,被鱼崽带入房间。很晚了已经,当天的尾课,老板给鱼崽交代完后带着剩余老师跑路了,留我俩人在店里🤡空气里弥漫着说不出的感觉。 漱口躺床上,鱼崽安安静静的靠过来,挨着我躺下,播放起她最喜欢的海贼王,美好开始。当天情况有点特殊,上课的一半时间我都因为一些个人的事情拿着手机回消息,鱼崽一直主

24 Jul 2026, 19:17 UTC449 views2 reactionsread 8 August 2026
Photo

都整预告那我也整个预告🤡今晚这强度。。。。还好拿到了龙哥的大力还魂丹🐉

💩1🖕1

5 Jul 2026, 12:39 UTC867 views8 reactionsread 8 August 2026
Photo

#98 【熊大熊二菜菜3飞/2026.07】 熊大传送门: @xiongda20080520 熊二传送门: @xionger20080520 菜菜传送门: @caicai20080520 ❤️一句话点评:不用做太多准备工作,感兴趣,想尝试未曾尝试过的,直接约就行,三姐妹营业态度很在线,乖巧听话,所以主观调动性足够,玩成什么样完全取决于自己怎么调教。 ❤️体验简评:三人真实硬件参考各自频道就行,略去美颜跟本人差距不大。熊大160出头,🐻B+,颜值一般,本人偏胖;熊二165左右,🐻A+到B-,白皮,颜值中上,较瘦,辣条音不耐桩;菜菜160左右,🐻A,颜值可以,小麦肤色,较瘦。 服务就是嫩妹三件套,毕竟是三飞,换算下来,每个人服务1/3的我。态度与配合度都可以。全程手忙搅乱,本人的双手、嘴巴、牛子和三姐妹的嘴巴,胸,下体、腿交替对接。姿势更是让她们三姐妹自己点菜,有限时间顺利出水两次,结果来看更是超值。 ❤️私人滤

🤡42🌚1🤬1

30 Jun 2026, 03:10 UTC888 views3 reactionsread 8 August 2026
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#92 【夏夏丝足子汐💰C套餐/2026.07】 传送门: @Xiansz0 【出击日期】:2026-06-27 【综合评分】:9.6分(好评) 【人照】:9.0分 【服务】:10.0分 【颜值】:9.2分 【态度】:10.0分 【身材】:9.5分 【环境】:9.8分 【总体评价】: 【缘起😘】 飞机一共玩了三个月,两个月前丝足大佬雷某德就已经给我推荐过夏夏家的子汐,后来约了两三次不是🈵就是不在岗,本人出击佛系又随缘,所以一直搁置至今。 头一晚跟雕和大根商k喝大酒,白天昏睡到下午5.30,稀里糊涂点开夏夏频道看到子汐今日在岗,问了问正好只有6点的鸽子位,此时已5.45,还好离得近大茂城南天朗蓝湖树小区,遂果断前往。 【过程😘】 迟到了三五分钟抵达,轻轻敲门子汐一个人在家,笑盈盈开门,热情打着招呼,仔细打量,167左右身高,短裤,腿细长,颜值属于鬼马可爱型,声音好听,皮肤光滑,🐻大概B左右,麻溜被

3

Showing the 12 most recent of 14 posts we hold for @bravorick. 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

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

“瑞城故事汇” (@bravorick), 204 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/bravorick.

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.