江湖宝典 赞助的周末 猪脚饭 10份 转发 持消息到2000人以上的群聊 (重复的无效 假消息无效 未发出无效) 随机抽取10位幸运观众 派发 https://t.me/jhbd

Channel
江湖宝典 话题 思路 素材
@qinh7
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
45,908subscribers
+38,637 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001060045840 |
|---|---|
| Type | Channel |
| 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 |
| Created | Between 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/qinh7 |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 95% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 23:17 | 45,908 | +12 |
| 15 Sept 2026, 17:58 | 45,896 | -47 |
| 14 Sept 2026, 02:37 | 45,943 | -88 |
| 12 Sept 2026, 08:18 | 46,031 | -168 |
| 10 Sept 2026, 06:18 | 46,199 | -149 |
| 7 Sept 2026, 01:00 | 46,348 | -26 |
| 4 Sept 2026, 11:41 | 46,374 | -17 |
| 3 Sept 2026, 00:25 | 46,391 | -30 |
| 2 Sept 2026, 00:05 | 46,421 | -26 |
| 31 Aug 2026, 20:44 | 46,447 | -26 |
| 30 Aug 2026, 20:46 | 46,473 | -73 |
| 29 Aug 2026, 20:04 | 46,546 | -28 |
| 28 Aug 2026, 21:03 | 46,574 | -6 |
| 27 Aug 2026, 22:35 | 46,580 | +8 |
| 27 Aug 2026, 01:55 | 46,572 | -52 |
| 26 Aug 2026, 03:44 | 46,624 | -21 |
| 25 Aug 2026, 05:12 | 46,645 | -51 |
| 24 Aug 2026, 00:16 | 46,696 | -52 |
| 22 Aug 2026, 07:47 | 46,748 | -71 |
| 20 Aug 2026, 20:14 | 46,819 | first reading |
Engagement
102 posts held, back to 7 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 71 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.794%
- avg views ÷ 45,908 subscribers
- Avg views / post
- 365
- 78 posts measured
- Reaction rate
- 0.446%
- reactions ÷ views · ER floor
- Posts in window
- 78
- of 102 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 6 of 78 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 19 September 2026 |
|---|---|
| Posts held | 102 (7 August 2026 – 19 September 2026) |
| Views total | 28,438 |
| Reactions total | 16 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Sept 2026, 06:07 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.
What this channel posts
- Photos
- ≈15,900
- Videos
- ≈3,490
- Links
- ≈110
Lifetime counters from Telegram’s own channel header, read 20 September 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
- 2m 52s
- Average length
- 6s
Measured directly from 30 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
23 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 60.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 60.9% | |
| 🌚 | 5 | 21.7% | |
| 👌 | 2 | 8.70% | |
| 👍 | 1 | 4.35% | |
| 🔥 | 1 | 4.35% |
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 11 of the 102 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 102 most recent posts we hold, published 7 August 2026 to 19 September 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
#巴塞罗那 #逛市集 #逛街 #购物 #日常 位置:Parlo Market Fest Carrer dels Pellaires, 30, Sant Martí, 08019 Barcelona (近L4Selva de Mar地铁站)
#欧洲 #西班牙 #巴塞罗那 #芭蕾鞋 #逛街 #购物 #日常 跑了三家巴塞罗那的 Massimo Dutti,终于把心心念念的芭蕾鞋带回家了!真不愧是西班牙当地老钱风最爱逛的地方,一开始最想买图二的光面皮质款,光泽感和皮质触感都好到不行,可惜问遍了都没有我的鞋码。在第三家店绒面麂皮款正巧还有我的码数,店员说是全店最后一双35码!上脚秒打包,穿起来舒服又秀气,完全就是想象中的欧洲松弛感🥹看了鞋子材料表,表皮和内里都是羊皮和牛皮制作👍
#Dior #西班牙#巴塞罗那 #购物 #逛街 #Dior包
https://t.me/boost/qinh7 助推下
#纽约 #会议 #日常 纽约公共艺术基金会
#旧金山 #日常 #生活 旧金山植物园里的钢琴音乐会
#婚礼 #日常 #生活 公园里的婚礼
#跑步机 #日常 #生活 以后在家就可以跑步了
#高跟鞋 #日常 #生活 把钻石穿在脚上
抱歉回复晚了!我睡前在洗头。看看我的头发,哈哈!😂 总之,希望你睡个好觉,好好休息。我也要去睡觉了。晚安!❤️ #晚安 #洗头
港股主板 2923,1825 不限制价格,自由进场 打票时间;14-18号 可打最后一棒 咨询联系: @aaao 新币 皇冠 未来都有公群 支持同台打票 香港 珠三角面谈
Showing the 12 most recent of 102 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“江湖宝典 话题 思路 素材” (@qinh7), 45,908 subscribers as measured 17 September 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.