Channel
@ouzhounan
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
65subscribers
+0 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001588069255 |
|---|---|
| Type | Channel |
| Username | @ouzhounan |
| Created | Between 1 August 2021 and 14 August 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 4 times, most recently 7 September 2026 |
| On Telegram | t.me/ouzhounan |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 09:23 | 65 | no change |
| 14 Aug 2026, 02:04 | 65 | first reading |
11 posts held, back to 14 August 2022 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 6 September 2022. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 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.
6 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 5 | 83.3% | |
| 👎 | 1 | 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 11 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 14 August 2022 to 6 September 2022, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
套图【亚洲女】：https://t.me/ouzhounv 套图【欧美女】：https://t.me/yazhounv 套图【欧美男】：https://t.me/ouzhounan 套图【亚洲男】：https://t.me/yazhounan 套图-【免费】：https://t.me/usdhi54 客服 {可代写人设} ： @gewen68 ➖➖➖➖➖➖➖➖➖➖ 入群搜索领红包🧧🧧🧧👈👈
编号F140 欧美GG （11） 地区: 丹麦🇩🇰、美国🇺🇸 日常动态: ⭐️⭐️⭐️⭐️ 职业:（家居店老板） 工作: ⭐️⭐️ 有自拍视频 适合虚拟摄像头 【1262照片. 162视频】
👍1
编号F139 欧美GG （10） 地区: 美国🇺🇸 日常动态: ⭐️⭐️⭐️⭐️ 职业:（医生） 工作: ⭐️⭐️⭐️⭐️ 有自拍视频 适合虚拟摄像头 【862照片. 75视频】
👍2
编号F138 欧美GG （9） 地区: 欧美 日常动态: ⭐️⭐️⭐️⭐️ 职业:（无特定职业） 工作: 无 有自拍视频 适合虚拟摄像头 【1599照片. 245视频】
👍1
编号HYM5 纽约 高尔夫 摄影 锻炼 照片260+视频20
(编号K14) 美国大兵 生活 旅游 健身569张照片视频48个
(编号K15) 欧美男士 生活 旅游 健身407张照片视频125个 视频自拍多《合适虚拟视频》
(编号S23) 欧美成熟男子 生活 旅游700张照片视频44个《适合虚拟视频》
(编号S13) 欧美宝爸 日常 带娃 网球 旅游511张照片视频108个
(编号S32) 欧美男 生活 旅游 健身1032张照片视频9个
👍1👎1
(编号S06) 欧美男 生活 旅游1016张照片视频79个
Showing the 11 most recent of 11 posts we hold for @ouzhounan. 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.
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.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“素材欧洲男” (@ouzhounan), 65 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/ouzhounan.
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.