Channel
@KurohaMadriad
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
11subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002355997742 |
|---|---|
| Type | Channel |
| Username | @KurohaMadriad |
| Description | 📷Model from Madrid. 💌 来自马德里的模特 |
| Created | Between 1 September 2024 and 3 February 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/KurohaMadriad |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 07:00 | 11 | no change |
| 6 Aug 2026, 19:52 | 11 | first reading |
20 posts held, back to 3 February 2025 — the 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 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 20 (3 February 2025 – 12 August 2026) |
| Views total | 1 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 07:00 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.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 66.7% | |
| 🔥 | 1 | 33.3% |
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 3 of the 20 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 3 February 2025 to 12 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.
来自速搜推荐 @SSOU 📢电报高效引流一键爆粉 📢USDT赌场|USDT官... 📢日本写真偶像集锦 📢线上百家乐 欧博百家乐 ... 📢精东传媒|国产AV 📢利博代理 利博官网 真人... 📢台州喝茶修车俱乐部 📢科學漫聊 📢欧博私网 欧博包杀 亚星... 📢皇冠私网🅰️亚星私网�... 📢百家乐代理 欧博百家乐 ... 📢PG娱乐频道百家乐现场 📢强奸轮奸3p 📢高潮脸-阿黑颜 📢激情舞蹈|秀美身材|骚浪... 👉流量互推规则介绍💥 以下是广告推荐 📢 TeleTop 中文索引 📢💹567U时代火爆上线！招收玩家/代理，匿名开户，放心娱乐！ 📢 Ton 中文索引 📢🔰开元官方🔥代理70%|电子棋牌|AG百家乐 📢✅金边娱乐城✅全网上押800万u盘总聚集地 🇨🇳 简体中文包 —————————-- 🔥将 @TonGroupHelpBot 设置为频道管理员，即可在2000+频道进行互推曝光，实现订阅快速增长。
The owner of this channel has been inactive for the last 17 months. If they remain inactive for the next 10 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
The owner of this channel has been inactive for the last 17 months. If they remain inactive for the next 27 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
来自速搜推荐 @SSOU 📢美女车模|比基尼写真|性... 📢以色列-巴勒斯坦🔥新盛... 📢合肥—快乐天地 📢韩国女团ssoa|美少女... 📢南宫/问鼎/壹号/多多2... 📢夏至 📢欧博代理 亚星代理 欧博... 📢柬埔寨赌场~腾龙赌场~欧... 📢李志Lizhi 📢社科·法律·心理 📢《NOWnews今日新聞... 📢苏州全裸4T会所 94 ... 📢魚乾 📢袁腾飞 📢💯💯[信诚香烟]💎... 👉流量互推规则介绍💥 以下是广告推荐 📢 全网最全面、最便宜的自助引流服务 🥇西湖娱乐城✅老品牌包出款✅出款超10亿U 📢🅾️免费试玩✅大客必备✅注册送158🅾️ 📢XX789🔞成人资源一站式导航 📢 X-panel 一站式拉人增粉平台 🇨🇳 简体中文包 —————————-- 🔥将 @TonGroupHelpBot 设置为频道管理员，即可在2000+频道进行互推曝光，实现订阅快速增长。
Say hi🧚🏻♀️🧚🏻♀️🧚🏻♀️
Say hi back🧚🏻♀️
❤1
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Let’s scream metal lyrics in the car and never talk about our feelings 🖤
❤1
马德里黑羽 pinned a photo
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I need a boyfriendI pay billsI don’t cheatI am a gothWe can have a lots of goth baby together 🖤
马德里黑羽 pinned a photo
Showing the 12 most recent of 20 posts we hold for @KurohaMadriad. 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 — 503,561 of 1,481,243entries 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.
Named by 44 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
@KurohaMadriad 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.
References a handle that is not a live channel — we have no record it ever was one.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“马德里黑羽” (@KurohaMadriad), 11 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/KurohaMadriad.
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.