不定时清理僵尸粉,请加入频道主创建的资源群,以防止被误踢 请加入 https://t.me/+COrvbGVdkVZhZGI1 感谢大家的支持,小弟在这谢谢大家了

Channel
学习资料分享
@xuendj1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
94,496subscribers
+2,454 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002173649713 |
|---|---|
| Type | Channel |
| Username | @xuendj1 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/xuendj1 |
Topic
Education — 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 99% 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 |
|---|---|---|
| 18 Sept 2026, 11:57 | 94,496 | +127 |
| 16 Sept 2026, 03:59 | 94,369 | +108 |
| 14 Sept 2026, 12:16 | 94,261 | +101 |
| 12 Sept 2026, 23:21 | 94,160 | +71 |
| 10 Sept 2026, 23:37 | 94,089 | +204 |
| 7 Sept 2026, 21:21 | 93,885 | +162 |
| 4 Sept 2026, 23:17 | 93,723 | +108 |
| 3 Sept 2026, 06:15 | 93,615 | +79 |
| 2 Sept 2026, 00:05 | 93,536 | +63 |
| 31 Aug 2026, 23:18 | 93,473 | +75 |
| 31 Aug 2026, 01:07 | 93,398 | +57 |
| 29 Aug 2026, 22:27 | 93,341 | +21 |
| 28 Aug 2026, 21:43 | 93,320 | +27 |
| 27 Aug 2026, 23:27 | 93,293 | +39 |
| 26 Aug 2026, 21:53 | 93,254 | +49 |
| 25 Aug 2026, 22:05 | 93,205 | +70 |
| 25 Aug 2026, 00:48 | 93,135 | +77 |
| 23 Aug 2026, 15:06 | 93,058 | +88 |
| 22 Aug 2026, 04:15 | 92,970 | +50 |
| 20 Aug 2026, 18:23 | 92,920 | first reading |
Engagement
1,344 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 115 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.148%
- avg views ÷ 94,496 subscribers
- Avg views / post
- 140
- 724 posts measured
- Reaction rate
- 0.901%
- reactions ÷ views · ER floor
- Posts in window
- 724
- of 1,344 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 243 of 724 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 1,344 (7 August 2026 – 29 September 2026) |
| Views total | 101,294 |
| Reactions total | 336 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 14:10 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
- ≈157,000
- Videos
- ≈2
- Links
- ≈84,000
Lifetime counters from Telegram’s own channel header, read 30 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.
Reaction mix
463 reactions across 336 posts, in 9 distinct kinds. The most used accounts for 85.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 394 | 85.1% | |
| ❤ | 39 | 8.42% | |
| 🥰 | 7 | 1.51% | |
| 🎉 | 5 | 1.08% | |
| 😁 | 5 | 1.08% | |
| 🤩 | 5 | 1.08% | |
| 👏 | 4 | 0.864% | |
| ⚡ | 3 | 0.648% | |
| 🔥 | 1 | 0.216% |
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 343 of the 1,000 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 463 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 18 August 2026 to 29 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
《巫师后期教程90课》 深度解析巫师后期全流程,从调色到特效,助你突破技术瓶颈,打造电影级质感。90节系统课程,覆盖主流软件,实战案例驱动,让你轻松进阶。 [#后期制作 #巫师后期教程 #视频剪辑] 👇 评论区获取资源
《小黑课堂PS零基础教程》 专为PS零基础学员打造,从界面认知到基础工具操作,再到实用案例实战,循序渐进。课程内容通俗易懂,步骤清晰,助你快速掌握PS核心技能,轻松应对日常修图、设计需求,小白也能变身PS小达人。 [#PS入门 #小黑课堂PS零基础教程 #设计学习] 👇 评论区获取资源
《小阳子子GOPS插画:线描、森系风格养成班》 从零基础到森系插画师,小阳子子GOPS手把手教你线描技巧与森系美学。细腻笔触勾勒自然灵气,从构图到配色,带你走进清新治愈的插画世界,让每一笔都充满故事感。 [#插画学习 #小阳子子GOPS插画 #森系线描 #零基础绘画 #治愈系插画] 👇 评论区获取资源
《鱼贝课堂PS全套录播课程》 从零基础到精通,系统学习PS核心功能与实战技巧,涵盖图像处理、海报设计、UI界面等热门领域,案例丰富,讲解清晰,助你快速掌握设计技能,提升职场竞争力。 [#PS教程 #平面设计 #技能提升] 👇 评论区获取资源
《野川社平面基础视觉设计课程》 从零开始系统学习平面设计基础,涵盖色彩、字体、版式等核心知识,通过实战项目提升设计思维与软件技能,助你轻松掌握视觉设计要领,打造专业作品集。 [#平面设计 #视觉设计 #野川社] 👇 评论区获取资源
《用导演思维打开漫画创作大门》 本书打破传统漫画创作壁垒,以导演视角拆解分镜设计、节奏把控与叙事张力,从构图到情绪渲染,教你像拍电影一样构思漫画,让静态画面充满动态故事感,轻松实现从新手到创作者的蜕变。 [#漫画创作 #导演思维 #分镜设计 #故事叙事 #视觉表达] 👇 评论区获取资源
《影视动物角色蜥蜴的凝望CG全流程制作教程》 揭秘蜥蜴角色从概念设计到CG全流程,涵盖建模、材质、绑定、动画等核心技术,详解生物质感与动态表现,助你掌握高精度角色制作精髓。 [#CG教程 #影视动物角色 #蜥蜴制作 #全流程教学 #数字艺术] 👇 评论区获取资源
❤1
《游戏创意视觉设计视频教程》 本教程聚焦游戏视觉设计的创意核心,从概念草图到动态视觉呈现,系统讲解色彩搭配、场景氛围与角色造型设计技巧,助力打造独特且富有吸引力的游戏世界。 [#游戏视觉设计 #创意美术 #游戏开发教程] 👇 评论区获取资源
《影像志达芬奇调色新手到精通》 从基础操作到高级技巧,全面解析达芬奇调色逻辑,实战案例教学助你快速掌握色彩校正与创意风格化,轻松应对电影、广告等多种项目需求,新手入门无门槛,进阶者技能全面提升。 [#达芬奇调色 #影像后期 #色彩管理 #电影调色 #视频剪辑 #Pr调色 #FCPX调色] 👇 评论区获取资源
《智疯版式字体设计课程第13期》 突破传统字体设计思维,聚焦商业实战应用,从版式逻辑到视觉表达系统化提升,助你打造独特风格字体,解决设计痛点,让作品在竞争中脱颖而出。 [#字体设计 #版式设计 #商业设计 #视觉传达 #设计课程] 👇 评论区获取资源
《站酷高高手设计教程合集》 站酷高高手设计教程合集,汇聚一线设计师实战经验,从基础理论到进阶技巧,涵盖平面、UI、插画等多领域,助你快速提升设计思维与实操能力,解锁创意新可能。 [#设计教程 #站酷高高手 #设计师进阶] 👇 评论区获取资源
Showing the 12 most recent of 1,344 posts we hold for @xuendj1. 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
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 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“学习资料分享” (@xuendj1), 94,496 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xuendj1.
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.