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Channel

认知文化

@renzhiwenhua

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

818subscribers

+60 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003946053711
TypeChannel
Username@renzhiwenhua
CreatedBetween 1 April 2026 and 19 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live10 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/renzhiwenhua

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 20 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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

75881878810 August 2026 — 758 subscribers10 August 2026 — 760 subscribers17 August 2026 — 779 subscribers24 August 2026 — 781 subscribers1 September 2026 — 788 subscribers10 September 2026 — 818 subscribers10 August 202610 September 2026
6 measurements spanning 31 days, net +60. 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 749–827 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 12:18818+30
1 Sept 2026, 18:07788+7
24 Aug 2026, 21:14781+2
17 Aug 2026, 10:55779+19
10 Aug 2026, 20:11760+2
10 Aug 2026, 00:46758first reading

Engagement

13 posts held, back to 19 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

90 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 48.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4448.9%
3235.6%
👌66.67%
👎22.22%
🥰22.22%
🫡22.22%
🔥11.11%
😁11.11%

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 12 of the 13 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 90 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 19 June 2026 to 6 August 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

6 Aug 2026, 09:56 UTC381 views15 reactionsread 10 August 2026
Photo

强者遇事先躬身入局,在做事过程中消除解决所有难题;弱者习惯提前自我设限,未付诸行动就脑补出万千难以跨越难关

👍13🫡2

Signed 博士(@boshi)

2 Aug 2026, 07:56 UTC678 views6 reactionsread 10 August 2026

关于学习 学习最大的误区,是把知识当成了力量。 第一阶段的人,喜欢收藏知识,听课、买书、做笔记。 第二阶段的人,开始实践,把知识变成技能。 第三阶段的人,能够不断输出,让技能变成影响力。 知识不会改变人生。 行动才会。 所以低认知的人,沉迷输入。 高认知的人,持续输出。 因为真正拉开人与人差距的,不是知道多少,而是做到多少。 知识只有经过行动,才会变成你的能力。

5👍1

Signed 博士(@boshi)

20 Jul 2026, 09:54 UTC≈1,340 views0 reactionsread 10 August 2026
Video

我黄赌毒一样都不碰 为什么生活还是那么苦

Signed 博士(@boshi)

17 Jul 2026, 11:05 UTC≈1,160 views14 reactionsread 10 August 2026

不要试图证明一个坏人坏那是在浪费时间 你识破了他 但身边人维护他说明他的价值大于你的清白那么你越争 就越显得你计较所以有些事情 你不需要赢 只需要脱身

9👍3👎2

Signed 博士(@boshi)

15 Jul 2026, 11:06 UTC≈1,220 views10 reactionsread 10 August 2026
Photo

Photo, posted without a caption

👍7🥰2🔥1

Signed 博士(@boshi)

14 Jul 2026, 07:12 UTC≈1,100 views6 reactionsread 10 August 2026
Photo

成功的道路上一直都不拥挤 只是放弃的人太多了,所以走不到终点。

6

Signed 博士(@boshi)

9 Jul 2026, 16:04 UTC≈3,750 views21 reactionsread 10 August 2026

我最烦的就是管理者跟我抱怨员工散漫、不听话、偷懒。凡是用这种词来形容下属的,恕我直言,都是垃圾管理者,水平极低。 为什么?因为他只会用形容词,不会用事实和数据说话。他描述不出具体问题,只能靠“感觉”来管人。靠感觉做管理?那真是“牛逼”坏了,老板请错人了。 我们做管理,靠的是明确的标准。如果你跟我说员工散漫,我一定会把你问到死: 散漫具体指什么? 你掌握了什么情况? 有没有具体事例和数据? 你自己连问题都定义不清楚,怎么可能找到主观的解决方法?解决任何问题都必须靠客观手段!绩效不对就调绩效,环境不行就改环境,人不行就换人。 别总想着“我不喜欢这样,就要把它改成我喜欢的样子”。你喜欢的样子在现实世界里能跑得通吗?别做管理了,去当艺术家吧。管理必须客观、接地气,这样才能服众,才能让事情真正运转起来。靠想象力是做不好管理的。

👍191😁1

Signed 博士(@boshi)

7 Jul 2026, 07:00 UTC≈1,250 views1 reactionsread 10 August 2026

一千个人口中一千个我 我不增不减就在原地

1

Signed 博士(@boshi)

4 Jul 2026, 07:12 UTC≈1,360 views5 reactionsread 10 August 2026

扩大认知边界带来的不一定就是知识,更多的是对自己能力过于弱小的无力感。

5

Signed 博士(@boshi)

26 Jun 2026, 09:51 UTC≈1,830 views9 reactionsread 10 August 2026

做人做事全凭良心,诚信,诚心,才是在这个灰色地带里的永动机。

👌62👍1

Signed 博士(@boshi)

25 Jun 2026, 08:10 UTC≈1,860 views3 reactionsread 10 August 2026

客户要的永远不是电钻,而是电钻打的洞。 洞悉需求,才能做出更好的产品。 致敬所有产品经理人和政策顾问

3

Signed 博士(@boshi)

19 Jun 2026, 11:30 UTC≈2,010 views0 reactionsread 10 August 2026
Photo

Photo, posted without a caption

Signed 博士(@boshi)

Showing the 12 most recent of 13 posts we hold for @renzhiwenhua. 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.

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

“认知文化” (@renzhiwenhua), 818 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/renzhiwenhua.

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.