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Channel

江湖宝典 话题 思路 素材

@qinh7

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

6,937subscribers

-334 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001060045840
TypeChannel
Username@qinh7
Description收集全网适用素材!🤝 常见与不常见素材!🤝 我们只收集非原创!🤝 推送可能不合时宜!🤝 您可以选择性使用!🤝 感谢有您鼎力支持!🤝 分类清晰方便查找!🤝 ✅打造完美全类的素材群,分类清晰,方便查找! ✅本频道素材搜索方法:输入 “#关键词”,需要在搜索内容前面带上“#”号,例如 : #美食, #旅游 #视频 等! 素材免费 商务合作 联系 @qingc
CreatedBetween 1 May 2016 and 31 January 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/qinh7

Growth

6,9377,2717,1048 August 2026 — 7,271 subscribers8 August 2026 — 7,235 subscribers12 August 2026 — 7,104 subscribers15 August 2026 — 6,937 subscribers8 August 202615 August 2026
4 measurements spanning 8 days, net -334. 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 6,887–7,321 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 18:556,937-167
12 Aug 2026, 03:187,104-131
8 Aug 2026, 23:017,235-36
8 Aug 2026, 02:487,271first reading

Engagement

16 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.15%
avg views ÷ 6,937 subscribers
Avg views / post
357
16 posts measured
Reaction rate
0.43%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 4 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 August 2026
Posts held16 (7 August 202617 August 2026)
Views total5,715
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 10:00 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.

What this channel posts

Photos
12,100
Videos
2,500
Links
87

Lifetime counters from Telegram’s own channel header, read 18 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.

Video runtime
22s
Average length
2s

Measured directly from 10 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

6 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
583.3%
🔥116.7%

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 16 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 7 August 2026 to 17 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

17 Aug 2026, 07:24 UTC554 viewsread 18 August 2026
Video

#和田玉 #吊坠 #文玩珠宝 夏天锁骨间就需要一点温柔感~ 18k金➕无烧蓝宝石

17 Aug 2026, 07:21 UTC342 viewsread 18 August 2026
Photo

#黄金 #黄金发簪 #发簪 凤绕明珠,青丝藏韵,灵动缠绕的凤纹,环绕一枚珍珠,流畅拉丝线条,把东方含蓄美学做到极致。

11 Aug 2026, 11:37 UTC425 views2 reactionsread 12 August 2026
Video

这里真的有阳光☀️LA #美国 #生活 #日常 #随拍 #随拍 #LA

2

11 Aug 2026, 11:35 UTC248 viewsread 12 August 2026
Photo

一大早的纽约中央公园,跑步运动遛狗的人好多啊,26度的阳光☀️,不到50%的湿度,太舒服了😌 #中央公园 #纽约 #逛公园 #日常

11 Aug 2026, 11:32 UTC198 viewsread 12 August 2026
Photo

满心欢喜终于来到了洞洞见富士山的球场打球,谁知道下雨☔️东京气温有20度这里却是8度 温差真的好大 简直太太太太太冷了🥶从来没打过这么冷的球 临行前本来带了羽绒马甲 想了想拍照略显臃肿就没带了 此刻悔恨的心达到了顶峰…..驱车往返七八个小时竟然没有见到心心念念的富士山 有点遗憾 只能下次再来啦!#高尔夫挥杆 #日本 #高尔夫 #高尔夫球场

9 Aug 2026, 20:40 UTC170 views2 reactionsread 10 August 2026

转发 截图到评论区 随机抽20人送 NFT礼物典藏 💙 你的知识储存库 -江湖宝典 @JHBDK 这里没有焦虑贩卖,只有经过筛选、真正值得收藏的干货内容。 持续更新,涵盖: 💙 实战话术 — 拿来即用,直接落地 💙 引流打法 — 系统梳理,少走弯路 💙 市场运营思路 — 底层逻辑,打开认知 💙 海外项目资料 — 一手信息,精准参考 💙 实用文件与工具 — 效率提升,省时省力 💙 点击下方导航,查看对应内容 部分内容若无法直接跳转,可进入「文件」栏目,通过关键词搜索查找。 💙 所有资料均经过整理与安全检测,可放心下载使用。 后续将持续更新:东南亚市场动态、运营玩法拆解、推广技巧总结、一线项目经验分享等内容。 想看哪类资料?欢迎在评论区留言,我们优先整理!PS:点击后若未跳转,后续会补齐。 ✅ 关注不迷路,干货持续在线。 好用的免费的万能AI https://t.me/JHBDQ_bot?start=1819

2

9 Aug 2026, 16:43 UTC278 viewsread 10 August 2026
Video

#越南 #芽庄 #旅行 #日常 #随拍 #泥浆浴 四点到芽庄去了24h咖啡馆看个日出因为酒店还不能check in又无缝衔接来泡了人生第一次泥浆浴,这个度假村比我想象中大很多 基本流程就是:换衣服冲洗🚿➡️泥浆浴➡️草药浴➡️各种水上温泉➡️水上乐园 泡完出来下了点小雨,没想到一抬头居然看到了彩虹🌈超级幸运。

9 Aug 2026, 16:40 UTC180 viewsread 10 August 2026
Video

☁️在河內待了兩天,天氣好的時候走走逛逛真的很治愈吶!#东南亚 #旅行 #越南 #河內 #街拍 #随拍

Showing the 12 most recent of 16 posts we hold for @qinh7. 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 — 1,111,479 of 1,549,376entries 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 1 registered channel — 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.

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

“江湖宝典 话题 思路 素材” (@qinh7), 6,937 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/qinh7.

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.