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Channel

优质-破解软件-分享基地

@YZPJRJ

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

22,424subscribers

+179 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001642874050
TypeChannel
Username@YZPJRJ
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 26 October 2026
On Telegramt.me/YZPJRJ

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 100% 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

22,21422,46022,3377 August 2026 — 22,245 subscribers7 August 2026 — 22,245 subscribers7 August 2026 — 22,242 subscribers8 August 2026 — 22,232 subscribers9 August 2026 — 22,233 subscribers10 August 2026 — 22,232 subscribers11 August 2026 — 22,225 subscribers12 August 2026 — 22,222 subscribers13 August 2026 — 22,227 subscribers14 August 2026 — 22,214 subscribers16 August 2026 — 22,220 subscribers17 August 2026 — 22,243 subscribers18 August 2026 — 22,253 subscribers19 August 2026 — 22,267 subscribers20 August 2026 — 22,277 subscribers21 August 2026 — 22,286 subscribers23 August 2026 — 22,291 subscribers24 August 2026 — 22,307 subscribers25 August 2026 — 22,304 subscribers26 August 2026 — 22,306 subscribers27 August 2026 — 22,318 subscribers28 August 2026 — 22,321 subscribers30 August 2026 — 22,320 subscribers31 August 2026 — 22,319 subscribers1 September 2026 — 22,314 subscribers3 September 2026 — 22,307 subscribers4 September 2026 — 22,300 subscribers7 September 2026 — 22,303 subscribers10 September 2026 — 22,333 subscribers12 September 2026 — 22,314 subscribers14 September 2026 — 22,325 subscribers15 September 2026 — 22,342 subscribers17 September 2026 — 22,334 subscribers28 September 2026 — 22,363 subscribers5 October 2026 — 22,406 subscribers9 October 2026 — 22,398 subscribers13 October 2026 — 22,440 subscribers14 October 2026 — 22,437 subscribers15 October 2026 — 22,435 subscribers16 October 2026 — 22,434 subscribers18 October 2026 — 22,446 subscribers19 October 2026 — 22,460 subscribers20 October 2026 — 22,450 subscribers22 October 2026 — 22,448 subscribers23 October 2026 — 22,430 subscribers24 October 2026 — 22,426 subscribers25 October 2026 — 22,421 subscribers26 October 2026 — 22,424 subscribers22,4247 August 202626 October 2026
48 measurements spanning 80 days, net +179. 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 22,177–22,497 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
26 Oct 2026, 02:4122,424+3
25 Oct 2026, 04:3822,421-5
24 Oct 2026, 04:4922,426-4
23 Oct 2026, 04:2722,430-18
22 Oct 2026, 01:4922,448-2
20 Oct 2026, 17:1722,450-10
19 Oct 2026, 18:3622,460+14
18 Oct 2026, 15:2822,446+12
16 Oct 2026, 17:4422,434-1
15 Oct 2026, 18:0722,435-2
14 Oct 2026, 18:3622,437-3
13 Oct 2026, 12:0122,440+42
9 Oct 2026, 09:4022,398-8
5 Oct 2026, 02:3622,406+43
28 Sept 2026, 08:5822,363+29
17 Sept 2026, 19:3922,334-8
15 Sept 2026, 17:3922,342+17
14 Sept 2026, 03:1722,325+11
12 Sept 2026, 11:4122,314-19
10 Sept 2026, 12:0122,333first reading

Engagement

79 posts held, back to 9 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 86 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.34%
avg views ÷ 22,424 subscribers
Avg views / post
2,090
14 posts measured
Reaction rate
0.113%
reactions ÷ views · ER floor
Posts in window
14
of 79 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 18 October 2026
Posts held79 (9 July 2026 – 18 October 2026)
Views total29,307
Reactions total33
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 08:18 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.

Reaction mix

100 reactions across 54 posts, in 2 distinct kinds. The most used accounts for 65.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6565.0%
❤3535.0%

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 57 of the 79 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 100 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 79 most recent posts we hold, published 9 July 2026 to 18 October 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

18 Oct 2026, 04:03 UTC617 views4 reactionsread 21 October 2026

#频道互推 #群组推荐 VPSXB|主机|羊毛|资讯 热门短剧夸克百度网盘免费分享 精选音乐收藏馆 安卓破解软件大全 夸克丶百度4K影视网盘分享 财新 财新周刊 合租 分享频道 国产电视剧频道(每日更新) 港澳台直播|影视软件 某咕咕机场测评站(真实机场测评)

👍3❤1

11 Oct 2026, 04:01 UTC560 views3 reactionsread 13 October 2026

#频道互推 #群组推荐 来一点医学科学前沿 精选音乐收藏馆 无损音乐分享频道 机场订阅节点VPN分享社 🅥 小新の资源库|实用软件工具 资源分享 - 软件|网站|工具|破解 机器人收藏夹中文圈玩转bot 异次元&里番动漫 小小溪Channel

👍2❤1

27 Sept 2026, 04:19 UTC≈3,570 views1 reactionsread 21 October 2026

🥰推荐一个不错的暗网搜索资源频道 ❤️ https://t.me/LSJPJAPK

👍1

27 Sept 2026, 04:19 UTC≈2,810 views2 reactionsread 21 October 2026
Photo

🥰标题:七猫免费小说_8.7_解锁高级版 🌈简介:告别书荒,全网好书品类全覆盖,阅读同时做任务赚金币兑好礼,看书领福利一举两得;全功能解锁,安心畅读无牵绊. 📃下载地址:在线下载‖百度云盘 😘 标签:#小说 #听书 #七猫免费小说

👍2

27 Sept 2026, 04:19 UTC≈3,480 views4 reactionsread 21 October 2026
Photo

🥰标题:禁漫天堂_2.1.9_内置模块板 🌈简介:漫迷专属追漫神器,佳作云集,加载飞速、翻页丝滑;彻底屏蔽广告跳转,沉浸式阅读,安心追漫不被打扰. 📃下载地址:在线下载‖百度云盘 😘 标签:#开车 #JMComic3 #禁漫天堂

👍3❤1

27 Sept 2026, 04:19 UTC≈3,090 views4 reactionsread 21 October 2026
Photo

🥰标题:即存_3.0.7_视频去水印高级版 🌈简介:粘贴链接一键解析,无水印视频/图集/实况/音频/文案全拿下;分段并行+智能并发,高速稳定不断线;数据仅存本机、不采集隐私,安全又省心. 📃下载地址:在线下载‖百度云盘 😘 标签:#去水印 #图集解析 #无印

👍3❤1

27 Sept 2026, 04:19 UTC≈2,360 views2 reactionsread 21 October 2026
Photo

🥰标题:墨迹天气_9.0948.02_高级版 🌈简介:专业气象工具,覆盖全球200国,定位精准、天气实时同步;15天预报、5日空气质量一目了然,暴雨大风灾害提前预警,科学规划出行更安心. 📃下载地址:在线下载‖百度云盘 😘 标签:#天气 #墨迹天气

👍2

27 Sept 2026, 04:19 UTC≈2,010 views2 reactionsread 21 October 2026
Photo

🥰标题:十几个最强看片观影神器 🌈简介:萝力岛,全球萝力,名流桃色秘闻,最大猎奇原创乱轮平台,挑战自己 ⚡️释放天性,全球伦友聚集地、最强看片神器,暗网猎奇国产. 📃下载地址:在线下载‖蓝奏云盘 😘 标签:#开车 #福利 #看片

👍2

27 Sept 2026, 04:19 UTC≈1,940 views2 reactionsread 21 October 2026
Photo

🥰标题:猫番阅读_1.8.1_去广告纯净版 🌈简介: 海量图书汇聚一堂,小说、名著、漫画等读物品类齐全;界面清爽简洁,操作轻松直观,浏览书籍、管理书单一键搞定,尽享舒适阅读体验. 📃下载地址:在线下载‖百度云盘 😘标签:#小说 #漫画 #猫番阅读

👍2

27 Sept 2026, 04:19 UTC≈1,780 views2 reactionsread 21 October 2026
Photo

🥰标题:薄荷音乐_1.0.8_聚合海量音乐 🌈简介:聚合全网热门曲库,流行、古风、影视、民谣、电音等曲风全覆盖,新歌热歌实时更新;支持在线播放、离线缓存、歌词同步、音效调节,自建歌单+智能推荐精准契合口味;无需会员畅享高音质,兼顾本地管理与在线曲库,打造免费、舒适、沉浸式的听歌体验. 📃下载地址:在线下载‖百度云盘 😘 标签:#音乐 #多源 #水獭音乐

👍2

27 Sept 2026, 04:19 UTC≈1,630 views2 reactionsread 21 October 2026
Photo

🥰标题:哔哩哔哩_9.13.0_内置模块版 🌈简介:漫迷专属弹幕追番平台,新番老番全覆盖,高清播放带实时弹幕;支持弹幕屏蔽、界面自由定制,播放流畅不卡顿,沉浸式氛围直接拉满. 自定义去广告步骤:首先点五下哔哩哔哩漫游界面的关于版本 ,然后重启哔哩哔哩客户端,继续进入哔哩哔哩漫游界面,下拉就看到隐藏功能,各种去广告净化功能 📃下载地址:在线下载‖百度云盘 😘 标签:#模块 #bilibili #哔哩哔哩

👍2

27 Sept 2026, 04:19 UTC≈1,670 views2 reactionsread 21 October 2026
Photo

🥰标题:大师兄影视_4.0.6_去广纯净版 🌈简介:海量正版影视综艺全覆盖,品类丰富齐全,多档高清画质任选,每日上新不打烊,热门内容全收录,全站免费畅看,一站式承包你所有追剧观影需求. 📃下载地址:在线下载‖百度云盘 😘 标签:#影视 #多源 #大师兄影视

👍2

Showing the 12 most recent of 79 posts we hold for @YZPJRJ. 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.

Mentions

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 26 October 2026 — this entry's latest reading, not the date you are reading this.

“优质-破解软件-分享基地” (@YZPJRJ), 22,424 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/YZPJRJ.

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.