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Channel
深圳花荟导航
@mndsav
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
2,256subscribers
+73 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 | -1003736306353 |
|---|---|
| Type | Channel |
| Username | @mndsav |
| Created | Between 1 February 2026 and 2 April 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/mndsav |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 02:05 | 2,256 | +10 |
| 10 Aug 2026, 05:11 | 2,246 | +50 |
| 7 Aug 2026, 11:16 | 2,196 | +13 |
| 6 Aug 2026, 20:18 | 2,183 | first reading |
Engagement
14 posts held, back to 2 April 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 3 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 22.3%
- avg views ÷ 2,256 subscribers
- Avg views / post
- 503
- 5 posts measured
- Reaction rate
- 0%
- 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. It is computed over the 1 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 14 (2 April 2026 – 7 August 2026) |
| Views total | 2,515 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:58 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.
What this channel posts
- Video runtime
- 25s
- Average length
- 13s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
12 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 50.0% | |
| 👍 | 4 | 33.3% | |
| 🥰 | 2 | 16.7% |
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 4 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 12reactions 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 2 April 2026 to 7 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
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探选优质资源,寻优质良师,花荟严格按照人照符合条件收录良师
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新增老师标签精准查询功能手册 (大群查找→花荟群) 按地区查找老师请发送地区名字 例如: 花荟甄选 附近 南山 福田 龙华 罗湖 龙岗 宝安 光明 按服务查找老师请发送标签服务 例如: 白虎 御姐 环保 嫩妹 六九 舌吻 吹箫 毒龙 巨乳 制服 COS SM 白冷皮 馒头逼 一线天 kiss 3p 外国菜 三通 按价格档查找老师请发送价格档 例如: 四百档 五百档 六百档 七百档 八百档 九百档 千元档 找可玩性请发送下面关键词查找 例如: 外出 上门 限时不限次 会所 抓龙筋 拍视频 纹身 MMK MMC 快餐 丝足 半裸 00后 包养 SPA 脱衣舞 泡泡浴
🥰2❤1
💡狼友出击指南 防止被骗,提高意识: 骗子行为一、嫩妹大部分都是中介在带,这类妹子大部分都是精神小妹,没钱了就被忽悠来当小姐,精神小妹随时可能闹脾气不干了,但中介不会告诉你妹子跑路了,依旧会利用已有的信息要求你付定金,稍稍有点良心的给你换人,畜生一点的直接收定金后把你拉黑。 骗子行为二、搬运各种网图或者老师的图片,然后自己创建一个电报频道伪装成老师,每天卧底在各大榜单群聊里面钓你上钩,付定后直接拉黑。 防止被骗第一要意,不要在线上付 1 毛钱,🐔多的是,她不接你的单有的是🐔接,烂逼不值得你求着。 你是出来玩的,不要被影响情绪,尊重他人命运: 1、要有说走就走的潇洒,货不对板,照骗,转头就走,她骗你在先不怼她都是给脸了。 2、不管有没有预定时间,出发前都先和老师,没有回复消息的一律不出发,防止跑空、罚站,预定了时间她不主动给你发消息那说明没把你当回事,你是甲方别跌份。 3、不要和小姐操出感情,做🐔仅仅是小姐最小的缺…
❤4👍4
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关于如何创建双向联系机器人🤖: 不会创建的老师可以看这里 没有双向机器人一旦学生账号被双向限制 直接就无法联系到你❗️❗️❗️ 同学们想找你约课都约不了 😂😂😂 大致流程如下: 第一步.找 @BotFather 获取机器人API ①.发送 /newbot ②.发送机器人名称 ③.发送机器人ID 以Bot结尾(不能跟别人重复) ④.复制机器人API 第二步.找 @sxBot 创建私聊机器人 ①.点击开始 ②.点击添加机器人 ②.发送刚刚复制的机器人API
#诈骗常用手法 1.抄袭使用官方头像、昵称、简介; 2.使用特殊字符模仿官方用户名,如:字母2和数字Z、字母O和数字Q等; 3.抄袭头像、昵称、简介,不显示电话号码或用户名; 4.抄袭头像、昵称、将电话号码或用户名写入简介栏。 5.骗子不光会冒充群主管理员,还会冒充成员、把简介资料复制的一模一样,然后再逐个进行诈骗。 6.将用户名打乱顺序或字母数字混合,比如将hwjy写出hwyj,huione写出huioen,lil1等,一定要注意核实,不要轻易相信! #安全 #重要
Telegram新手使用建议: 对于很多刚使用Telegram的小白,请认真阅读以下建议,避免在Telegram上出现所谓莫名其妙的问题(特别是在Telegram中文圈的群组) 1、本APP全称Telegram,中文译名:电报(别叫小飞机或者纸飞机,一般小飞机或者纸飞机特指ss和ssr),简称tg(以下都用tg说明) 2、tg是一个开源APP,所以拥有众多第三方客户端(例如Nicegram),但是不建议使用任何的第三方客户端,官方的足够正常使用,同时tg需要翻墙才能使用,而所谓免翻墙的第三方客户端也只不过是内置代理翻墙(不建议使用) 3、tg是一款支持加密对话的APP,但是只有选择私聊端对端加密才会加密,公开群组、私人群组和普通私聊都没有加密!!! 4、tg没有官方中文,也没有所谓的中文版(勿相信所谓第三方的中文版),由于tg是开源的APP,所以众多热心的用户都有开发中文语言包,例如最简单的 @zh_cn ,点击即可安装…
❤1
Telegram iOS 官方原生客户端进入Apple限制群(开车群)的方法 操作方法: 1, 三个方式开启: 方式a:打开 Desktop 电脑桌面客户端, 左上角三短线: 设置→隐私安全→开启"显示含有敏感内容的媒体" 方式b:打开 macOS 电脑桌面客户端: 设置→隐私安全→开启"显示含有敏感内容的媒体" 方式c:网页版: 手机或电脑浏览器访问官方网页版地址: https://web.telegram.org , 输入手机号码登录, 主界面→对话列表→左上角/右上角三短线→Settings→打开"Show Sensitive Content". 2, 重启 Telegram iOS 客户端即可, 或者等几分钟再重启下. 3, 整体的过程就是桌面端或网页版开启显示, 手机端就可以了, 不是也不需要在手机端设置中操作. 要求: * Telegram Desktop 桌面客户端版本 ≥ 1.9.3 下载 * T…
Showing the 12 most recent of 14 posts we hold for @mndsav. 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 — 216,905 of 1,160,990entries 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 4 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.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@mndsav named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 8 August 2026 – 8 August 2026
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.
“深圳花荟导航” (@mndsav), 2,256 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/mndsav.
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.