#iOS破解软件 https://t.me/tkdashen

Channel
Naruto 频道推荐 👍👍👍
@AChansp
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
23,450subscribers
+594 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002043852299 |
|---|---|
| Type | Channel |
| Username | @AChansp |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/AChansp |
Topic
Software piracy — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 |
|---|---|---|
| 9 Sept 2026, 04:59 | 23,450 | +76 |
| 6 Sept 2026, 00:41 | 23,374 | +28 |
| 3 Sept 2026, 22:37 | 23,346 | +19 |
| 2 Sept 2026, 12:24 | 23,327 | +4 |
| 1 Sept 2026, 15:03 | 23,323 | +18 |
| 31 Aug 2026, 12:45 | 23,305 | +33 |
| 30 Aug 2026, 09:28 | 23,272 | +10 |
| 29 Aug 2026, 06:44 | 23,262 | +45 |
| 28 Aug 2026, 05:18 | 23,217 | +19 |
| 27 Aug 2026, 03:44 | 23,198 | +15 |
| 26 Aug 2026, 06:14 | 23,183 | +6 |
| 25 Aug 2026, 07:55 | 23,177 | +11 |
| 24 Aug 2026, 08:24 | 23,166 | +85 |
| 22 Aug 2026, 18:14 | 23,081 | +46 |
| 21 Aug 2026, 06:45 | 23,035 | +18 |
| 20 Aug 2026, 10:05 | 23,017 | +5 |
| 19 Aug 2026, 13:32 | 23,012 | +6 |
| 18 Aug 2026, 15:42 | 23,006 | -3 |
| 17 Aug 2026, 17:34 | 23,009 | +16 |
| 16 Aug 2026, 13:46 | 22,993 | first reading |
Engagement
97 posts held, back to 28 July 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 65 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.54%
- avg views ÷ 23,450 subscribers
- Avg views / post
- 2,000
- 70 posts measured
- Reaction rate
- 0.083%
- reactions ÷ views · ER floor
- Posts in window
- 70
- of 97 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 24 of 70 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 97 (28 July 2026 – 3 September 2026) |
| Views total | 140,155 |
| Reactions total | 42 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 14:40 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
- Video runtime
- 8s
- Average length
- 2s
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.
Reaction mix
62 reactions across 27 posts, in 7 distinct kinds. The most used accounts for 35.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 22 | 35.5% | |
| ❤ | 21 | 33.9% | |
| 👌 | 11 | 17.7% | |
| 👏 | 2 | 3.23% | |
| 🤔 | 2 | 3.23% | |
| 🤩 | 2 | 3.23% | |
| 🥰 | 2 | 3.23% |
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 38 of the 97 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 62 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 97 most recent posts we hold, published 28 July 2026 to 3 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
#机场 https://t.me/PushGoodCloud
#科技 #新闻 https://t.me/cnbeta_com
#软件 https://t.me/ajk_app
#博客 https://t.me/chunse1024
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#RSS https://t.me/awesomeDIYgod
#影视 #软件 https://t.me/tvbox9521
#索引 https://t.me/addlists_1
#博客 https://t.me/AppDoDo
😁😁😁😁😁😁😁😆😆😆😆😆 😁 😀😀😀😀😀😀😀 😁 😃想暴富上G7 大品牌有底气 😃想暴富上G7 大品牌有底气 😃想暴富上G7 大品牌有底气 😃😄 一键注册 机器人:@W777 😀😀😀😀😀😀😀😀😀😀😀😀 😀 G7环球 #福利频道 😄 大事件 体育馆 吃瓜偷拍 商家群 小说区 无码传媒 —————————————————— 😃注册网址:G7.COM【USDT】😃 😃注册网址:G7.COM【人民币】😃 —————————————————— 🪙 点击免费领取能量 😀😀😀😀:G7.COM 😀😀😀😀:@G7KF 😀😀😀😀:@WWWG7COM #G7环球 #G7环球娱乐 #世界杯 #PG电子
#博客 https://t.me/prepreview
Showing the 12 most recent of 97 posts we hold for @AChansp. 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.
Posts edited after publishing
@AChansp edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 28 August 2026
- Most recent edit
- 28 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 17 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.
@mespio · 59510 posts不是白嫖,这叫借鉴(备用)
@baipiaou · 33,2656 postsRosmontis's Daily🔆
@Rosmontis_Daily · 9,2665 postsAPPDO的互联网记忆
@appdopic · 16,1333 posts便宜机场测速
@cheap_proxy · 25,7592 posts爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 8,8472 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 37,7792 postsNothing
@uohsy · 132 posts来一点医学科学前沿🤯🤯🥹🥹
@CNSmydream · 13,0821 post你不知道的内幕消息🅥
@inside1024 · 107,9481 post🐾东萝东萝教教教🐾
@Loli_File · 10,0711 post115影视资源分享频道
@QukanMovie · 30,1851 post书墨资源
@shumozy · 20,6691 postwebtoonupload
@webtoonuploadtest · 1,1661 post观影视界[GyWEB]
@WFYSFX03 · 6,4901 postTG中心
@ZonXin · 6861 post资源分享客栈-Applnn
@zyfxlnn · 32,1701 post
Names
Channels on the register whose handles appear in this channel's posts.
@cnryk · 1,7055 posts全网热榜吃瓜中心——-G7.COM独家冠名
@DJDNYBG · 9,1385 postsG7.COM 柬埔寨商家信息导航
@G7JPZSJ · 4,6335 posts东南亚大事件|华人新闻|热点爆料
@SEAUPD · 27,0185 posts成人小说|情色小说|小说精选
@SYXS88 · 2,3215 posts搜女推广 / 推特粉丝 / Twitter粉丝 / X增粉
@zhuqiu88 · 175 posts电子书资源分享 📚
@KaiPanshare · 16,6603 postsTK集库
@tkjiku · 24,2733 postsAPPDO的互联网记忆
@appdopic · 16,1332 posts永不消逝的音声
@ASMR86866 · 25,2492 posts不是白嫖,这叫借鉴(备用)
@baipiaou · 33,2652 posts爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 8,8472 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 37,7792 posts小声逼逼
@me888888888888 · 49,7172 posts知识库Knowledge Base
@nlgbs · 5,3752 posts115影视资源分享频道
@QukanMovie · 30,1852 posts频道索引&推荐
@recommend3 · 106,6732 posts观影视界[GyWEB]
@WFYSFX03 · 6,4902 postsAc-Wiki | 真·青年大学习
@AcWiki · 3,7121 postApps推荐&抽奖&活动
@AppsSweepstakesNews · 8,4991 post֍可莉日常֎
@ibilibili · 47,4081 post依云的技术资源分享
@lilyshare · 1,4641 post品云☁️机场导航
@PinYunPs · 19,5691 post小七分享社-破解软件VPN
@XQFXS · 165,8081 post
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“Naruto 频道推荐 👍👍👍” (@AChansp), 23,450 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/AChansp.
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.