Channel
@yunying23
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
20,424subscribers
+91 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001723117448 |
|---|---|
| Type | Channel |
| Username | @yunying23 |
| Description | 分享出海经验、赚美金、运营技巧、小红书运营、网赚项目等。 内容来源网络 |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/yunying23 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 21:58 | 20,424 | +6 |
| 13 Aug 2026, 11:48 | 20,418 | +17 |
| 12 Aug 2026, 13:24 | 20,401 | +9 |
| 11 Aug 2026, 11:23 | 20,392 | +21 |
| 10 Aug 2026, 11:05 | 20,371 | +6 |
| 9 Aug 2026, 11:51 | 20,365 | +17 |
| 8 Aug 2026, 13:52 | 20,348 | +9 |
| 7 Aug 2026, 10:38 | 20,339 | +3 |
| 6 Aug 2026, 12:30 | 20,336 | +3 |
| 6 Aug 2026, 03:45 | 20,333 | no change |
| 6 Aug 2026, 03:39 | 20,333 | first reading |
84 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 23 pagesof 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. It is computed over the 39 of 84 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 84 (3 August 2026 – 15 August 2026) |
| Views total | 42,999 |
| Reactions total | 78 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 09:07 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 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 4 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.
69 reactions across 27 posts, in 8 distinct kinds. The most used accounts for 43.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 30 | 43.5% | |
| 🖕 | 14 | 20.3% | |
| 👍 | 8 | 11.6% | |
| 🔥 | 6 | 8.70% | |
| 🤩 | 5 | 7.25% | |
| 👌 | 3 | 4.35% | |
| 🥰 | 2 | 2.90% | |
| 🤮 | 1 | 1.45% |
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 39 of the 84 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 78reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 84 most recent posts we hold, published 3 August 2026 to 15 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.
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中国人这么多，为什么性资源稀缺？ 出海赚美金｜优质资源｜优质信息｜内幕消息
最近发现，很多人其实都陷入了一个学习误区： 每天忙着看课、读书、刷资料，看似特别充实，但问在于——学完就放下了，没有任何实际产出。 这种所谓的学习，其实和“看剧”没什么本质区别，都只是信息的被动接收。 在我看来，真正有价值的学习，一定要和输出、赚钱、或者副业实战深度绑定。 只有输出，才能倒逼输入的质量；只有实战，才能把知识转化为收入。 比如，你可以通过输出来搭建内容素材 → 吸引流量 → 促成成交 → 形成现金流。 而一旦有了现金流，你就能够投资更高价值的学习资源 → 做出更优质的内容 → 进入一个正向循环。 相反，如果只是漫无目的地学，却没有输出： 学习效果差 → 变现困难 → 花钱买课却无回报 → 缺乏反馈 → 越来越没动力…… 这就成了一个难以打破的负向循环。 我认为，学习的终极意义在于创造价值——哪怕只是赚到第一块钱，也是一种实实在在的鼓励。 尤其在做海外副业这件事上： 光学不做 = 永远纸上谈兵。 真正的门槛，在于“持…
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#频道互推 你不知道的内幕消息🅥 AI探索指南 互联网从业者充电站 书墨资源 出海🚢&自媒体运营秘籍 你不知道的冷知识 优质信息收藏夹 副业赚钱探索指南 两性知识 中年人生存报告 ──── 💡 互推: @jxht_bot
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我跟很多同龄人聊过，他们都在问一个问："技术都要被AI替代了，我学什么？" 真正的问是：当技术变得廉价，什么才变得昂贵？ 答案是：注意力、信任、人脉、执行力。 换个角度：AI可以帮你写代码、做设计、写文案。但AI做不了决策、冲突、客户关系、市场嗅觉。 这些东西都不是知识，都是经验。而经验只能通过实做才能获得。 所以AI平权的时代，反而是非技术型创业者的机会。 因为以前创业，你得有技术。现在不需要了。你需要的是：能用AI的速度快速迭代，有市场嗅觉找到真实需求，有执行力把事做成。 时间窗口在缩小。越来越多的人会意识到这一点。但真正行动的人，永远是少数。 出海赚美金｜优质资源｜优质信息｜内幕消息
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❤1
Showing the 12 most recent of 84 posts we hold for @yunying23. 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 — 169,563 of 1,478,351entries 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 13 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“出海🚢&自媒体运营秘籍” (@yunying23), 20,424 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/yunying23.
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.