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Channel

批话TV

@pusshit_tv_cn

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

2,921subscribers

+9 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001846014223
TypeChannel
Username@pusshit_tv_cn
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live20 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 20 August 2026
On Telegramt.me/pusshit_tv_cn

Growth

2,9122,9212,916.57 August 2026 — 2,912 subscribers7 August 2026 — 2,912 subscribers13 August 2026 — 2,917 subscribers20 August 2026 — 2,921 subscribers7 August 202620 August 2026
4 measurements spanning 13 days, net +9. 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 2,911–2,922 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Aug 2026, 02:592,921+4
13 Aug 2026, 14:392,917+5
7 Aug 2026, 13:322,912no change
7 Aug 2026, 12:412,912first reading

Engagement

20 posts held, back to 5 August 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.96%
avg views ÷ 2,921 subscribers
Avg views / post
145
20 posts measured
Reaction rate
3.00%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 13 of 20 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 7 August 2026
Posts held20 (5 August 20267 August 2026)
Views total2,898
Reactions total59
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 13:32 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

59 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 69.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁4169.5%
🥰610.2%
😢46.78%
35.08%
🍾23.39%
👍11.69%
💯11.69%
🙊11.69%

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 13 of the 20 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 59reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 5 August 2026 to 7 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

7 Aug 2026, 12:28 UTC47 views2 reactionsread 7 August 2026
Forwarded from @visas202208

特朗普政府正在遣返数量创纪录的东南亚人。许多人年幼时以合法难民身份来到美国,后来犯下罪行,如今被强行驱逐。这再次凸显出美国对东南亚难民历史责任的复杂问题。 #美国 #东南亚

🍾2

7 Aug 2026, 08:56 UTC87 views5 reactionsread 7 August 2026
Forwarded from @chomebanchigo

塑造理想的中国男性有以下几个步骤。 避免性教育,让他只从霸凌和色情片里建立性观。 用一个家暴的父亲和委曲求全的母亲建立他的婚姻观。 用成绩排名,鞭打,辱骂固化他的生存逻辑。 用圣贤的道理挤兑他对自我的思考。 用集体荣誉感麻痹他的饥饿和抑郁。 构建仇恨和虚假的敌人以填补他的虚无。 晚上撸一管就能猛猛干一整天的核动力驴完成了。

😁4💯1

7 Aug 2026, 08:46 UTC90 views3 reactionsread 7 August 2026
Forwarded from @huanyutv

窝这些天啥也没干只是躺在床上像蛆一样时不时扭一下,还看了一堆轻小说和漫画意淫自己是里边的主角嘿嘿傻乐

😁2🥰1

7 Aug 2026, 08:40 UTC116 views4 reactionsread 7 August 2026

小朋友在学校学了禁毒知识之后,回家发现爷爷种植了大面积的罂粟,于是果断举报爷爷,成功把爷爷送进了警察局。警察叔叔夸小朋友是禁毒小卫士,小朋友自豪地说将来长大了也要当警察,警察叔叔说那恐怕是实现不了了

😁4

7 Aug 2026, 06:01 UTC108 viewsread 7 August 2026
Forwarded from @xijinping89646324

公知的话不能信过度解读,文科公知,水平低下,认知浅薄,你要是说的对有能耐怎么不是领导伟人啊?被蛮夷洗脑成白痴,精致利己主义罢了不要觉得自己多高明,这明显对祖国母亲妈妈不忠不孝,我作为在山东生活了68年的公民,入党40年学了一辈子马哲也算专家了,我用逻辑跟你说, 比如最近抹黑祖国母亲妈妈禁止人民出去,妈妈也是为人民服务扫黑除恶反诈,只是因为太多人跑出去搞电诈了,所以才严控无理由出去,我是内部人就是这个原因,妈妈也是为了保护人民的安全维护世界和平,还有就是如果不禁止人民出去,肯定会有大量人民跑出去,人民跑了经济怎么会好呢?只有禁止人民出去,这样人民和钱就没办法跑就会去大量开工厂大量招工人,人民就会有工作经济自然就会越来越好, 身正不怕影子斜,你要是好人没干坏事,干嘛怕什么祖国母亲妈妈监控呢?只要你是好人不是反贼反华殖人卖国贼汉奸洗钱贪污腐败邪教黑帮就没事,好人普通人就不受影响

6 Aug 2026, 14:43 UTC197 views4 reactionsread 7 August 2026

他们说孤僻的小孩会有想象中的朋友

😢3👍1

6 Aug 2026, 14:43 UTC128 viewsread 7 August 2026
Forwarded from @getoutforchina

我最近意识到 跑路浪新的码蛆含量不低。上次我坐电梯遇到个华人老哥 当时周围站着一堆白皮 我就低头刷跑路 老哥瞟见我在刷跑路:诶?你也看跑路浪新啊? 现在我们成了不错的朋友,他在某大学读计算机博士,我在不少小圈子认识的大厂码蛆朋友告诉他们在蹬cc/codex的间隙也会偶尔看看跑路浪新,可以说,刷跑路浪新已经成为了技术程序员的新潮,大家懂吗😁

6 Aug 2026, 13:32 UTC168 viewsread 7 August 2026

你妈的,一辈子住在2平米的马桶房里面是怎么有优越感的

6 Aug 2026, 13:31 UTC140 viewsread 7 August 2026
Forwarded from @orewamaruganesu

白完男人最爽时刻: 1.吃席坐在上菜口,肘击同桌抢下整只烧鸡 2.宾客还没动筷子,已经用红色塑料袋装好三天口粮 3.捡到半截黄山烟,滤嘴朝上且没有被雨淋 4.用化肥袋装麦子,发现袋底还剩半斤尿素 5.把祠堂贡品偷走一半,给祖宗留一半算尽孝 6.牛肉汤里捞到一片真牛肉,当场通知族长续写族谱 7.听说邻村修高铁,连夜扛着祖坟前去占地 8.在县政府做劳务派遣,回村只说自己“在机关工作” 9.胸前挂着临时出入证,在亲戚婚宴上故意露出一角 9.被正式工叫去取快递,回来后向村民宣布刚处理完公务 10.工资到账两千八,立刻买两条黄山犒劳自己的仕途 11.合同到期被清退,依旧每天骑电瓶车去政府门口转一圈,维持在编形象 12.参加全县临时工工作群,群名却被他改成“白完省厅级干部交流群”。 终极隐藏成就: 偷知乎内容放推特,偷推特内容放b站

6 Aug 2026, 13:31 UTC124 views0 reactionsread 7 August 2026
Forwarded from @orewamaruganesu

早起先去给朱重八磕个头,然后骑着电瓶车去县城干劳务派遣,逢人就说自己在政府上班,中午吃臭鳜鱼配毛豆腐,下午逼孩子背《朱子家训》,吃完饭和装成江浙沪IP在网上骂老乡刚波宁,再点上一根黄山,看着游客堵在高速上——这小日子,真是既中原又江淮

Showing the 12 most recent of 20 posts we hold for @pusshit_tv_cn. 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.

Citation-graph rank

Citation-graph rank — 423,697 of 1,566,395entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 20 August 2026 — this entry's latest reading, not the date you are reading this.

“批话TV” (@pusshit_tv_cn), 2,921 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/pusshit_tv_cn.

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.