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Channel

考公考研自习室

@wpzyk

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

28,934subscribers

+436 since we began measuring on 9 September 2026

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

Register entry

Telegram ID-1001817746196
TypeChannel
Username@wpzyk
Description主营网盘: #百度 #夸克 公务员考试: #国省考 #事业编 #教师类 #文职 #三支一扶 #遴选 #时政 #银行 #公安 研究生考试: #考研 #公共课 #考研数学 #考研英语 #考研政治 #专业课 其他考试: #四六级 #财经类 #医药类 #建筑类 #烟草 #电网 搜索: @wpzyss
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 September 2026
Last confirmed live26 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/wpzyk

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 26 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

28,49828,93428,7169 September 2026 — 28,498 subscribers9 September 2026 — 28,498 subscribers11 September 2026 — 28,574 subscribers13 September 2026 — 28,617 subscribers15 September 2026 — 28,670 subscribers17 September 2026 — 28,743 subscribers19 September 2026 — 28,799 subscribers26 September 2026 — 28,934 subscribers9 September 202626 September 2026
8 measurements spanning 17 days, net +436. 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 28,433–28,999 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Sept 2026, 08:5928,934+135
19 Sept 2026, 13:5728,799+56
17 Sept 2026, 04:0128,743+73
15 Sept 2026, 01:3728,670+53
13 Sept 2026, 10:5828,617+43
11 Sept 2026, 13:5828,574+76
9 Sept 2026, 08:2228,498no change
9 Sept 2026, 07:4728,498first reading

Engagement

101 posts held, back to 5 September 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 22 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.14%
avg views ÷ 28,934 subscribers
Avg views / post
1,200
101 posts measured
Reaction rate
0.088%
reactions ÷ views · ER floor
Posts in window
101
of 101 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 36 of 101 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 30 September 2026
Posts held101 (5 September 2026 – 30 September 2026)
Views total120,895
Reactions total41
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 11:53 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
≈1,490
Videos
≈1
Links
≈2,090

Lifetime counters from Telegram’s own channel header, read 2 October 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

41 reactions across 34 posts, in 4 distinct kinds. The most used accounts for 63.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2663.4%
❤1331.7%
👏12.44%
🥰12.44%

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 36 of the 101 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 41 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 101 most recent posts we hold, published 5 September 2026 to 30 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

30 Sept 2026, 10:59 UTC≈1,080 viewsread 2 October 2026

花生十三丨逻辑判断技巧总结 #国省考 笔记 ​​​ https://weibo.com/7957618872/5348921288428635

30 Sept 2026, 10:59 UTC≈1,060 viewsread 2 October 2026

行测判断推理做题技巧 #国省考 经验 ​​​ https://weibo.com/7957618872/5348921194843132

30 Sept 2026, 10:58 UTC937 viewsread 2 October 2026

言语理解提分笔记 #国省考 笔记 ​​​ https://weibo.com/7957618872/5348921071370850

30 Sept 2026, 10:58 UTC820 viewsread 2 October 2026

聂佳丨削弱、加强题型、定义判断思维导图 #国省考 笔记 ​​​ ​​​​ https://weibo.com/7957618872/5348920985391610

30 Sept 2026, 10:58 UTC772 views0 reactionsread 2 October 2026

张弓|2027年选词大典复盘笔记 http://t.cn/AXWX0OO8 2027聂佳加强削弱100题、定义100题、逻辑一拖五60题 http://t.cn/AXWX0OOE 【申论】张小龙 http://t.cn/AXWX0OOR 2027考季花生套题冲刺1期 http://t.cn/AXWX0OOn KK #国省考 ​​​ https://weibo.com/7957618872/5348920873455407

30 Sept 2026, 10:57 UTC684 views1 reactionsread 2 October 2026

张弓|2027年选词大典复盘笔记 http://t.cn/AXWXplDR 2027年国省考上岸行测专项提升 http://t.cn/AXWXplD1 2027年国省考上岸行测模块套卷刷题 http://t.cn/AXWXplDE 2027聂佳加强削弱100题、定义100题、逻辑一拖五60题 http://t.cn/AXWXplD3 【申论】张小龙 http://t.cn/AXWXplDm 2027考季花生套题冲刺1期 http://t.cn/AXWXplDn BD #国省考 https://weibo.com/7957618872/5348920806871895

❤1

30 Sept 2026, 10:57 UTC699 viewsread 2 October 2026

《厚薄英语》初中+中考词汇突破+语篇突破(英语)http://t.cn/AXWXBOPf 《武汉市2026-2027学年名校初中9月随堂作业-周周清-过关测试含解析答案》7-9年级上册(数学英语化学) http://t.cn/AXWXBOPx 【5年真题1年模拟】2027中考化学命题透析(上海专版) http://t.cn/AXWXBOPM 大小卷数学人教7上 http://t.cn/AXWXBOPI 2026秋 八年级(上)语文单元(基础卷+提升卷) http://t.cn/AXWXBOPc KK #小初高 初中 https://weibo.com/7957618872/5348838169908854

30 Sept 2026, 10:56 UTC721 viewsread 2 October 2026

高考数学全国卷真题精编(1978-2026)2026年6月版 http://t.cn/AXWXBy3m 高考数学秘密系列2027 http://t.cn/AXWXBy3j 2027《真题考点精炼•》高考(数学) http://t.cn/AXWXBy3H 外研版词汇趣味实用版本 http://t.cn/AXWXBy3R 高中英语语法学案 http://t.cn/AXWXBy3n 新人教教材词汇默写资料 http://t.cn/AXWXBy3T 2027【好题汇编】(2017-2026)10年全国高考英语专项汇编(英语) http://t.cn/AXWXBy38 广东省“3+证书”考试五年(2022-2026)《英语真题分类汇编》 http://t.cn/AXWXBy3E 2026版高考《试题调研高分作文》(英语) http://t.cn/AXWXBy3u 2026秋53同步分层训练 语文必修上 http://t.cn/AXWX…

29 Sept 2026, 04:51 UTC≈1,110 viewsread 2 October 2026

行测如何高效答题?4个核心提分策略 #国省考 经验 ​​​ https://weibo.com/7957618872/5348466320213789

29 Sept 2026, 04:50 UTC≈1,070 viewsread 2 October 2026

慧慧丨言语思维导图 #国省考 笔记 ​​​ https://weibo.com/7957618872/5348466247074124

29 Sept 2026, 04:50 UTC982 viewsread 2 October 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_1993600860

29 Sept 2026, 04:50 UTC906 viewsread 2 October 2026

2026年下事业单位联考E类《职测》绝密押题五套卷 http://t.cn/AXWMjz7R 2026年下事业单位联考D类《职测》绝密押题五套卷 http://t.cn/AXWMjz71 2026年下事业单位联考B类《职测》绝密押题五套卷 http://t.cn/AXWMjz7n 2026年下事业单位联考C类《职测》绝密押题五套卷 http://t.cn/AXWMjz7r 2026年下事业单位联考A类《职测》绝密押题五套卷 http://t.cn/AXWMjz7d 2027全国事业单位全程班D类(职测+综应) http://t.cn/AXWMjz7u 2027年事考综C超大杯刷题营 http://t.cn/AXWMjz7B 2027年事考综B超大杯刷题营 http://t.cn/AXWMjz7E 2027年事考综A超大杯刷题营 http://t.cn/AXWMjz7m 2027年事考综A夸夸刷刷题营 http://t.cn/AX…

Showing the 12 most recent of 101 posts we hold for @wpzyk. 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

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

“考公考研自习室” (@wpzyk), 28,934 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/wpzyk.

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.