Telegram RegisterThe public register of Telegram
Telegram profile photo for NY 的实况转播器

Channel

NY 的实况转播器

@ny_ceiver

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

74subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001166710782
TypeChannel
Username@ny_ceiver
Description资讯/工具/豆知识/互联网记忆 主观精选转发 - Nyaasu's Xtransceiver 想打造一个值得反复翻阅的频道,所以会不定期删除 过时不适用/一般质量 的消息 频道头像是游戏《宝可梦 - 黑/白》中的道具: 实况转播器 友链: 无损音乐 - @cd_pi
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live14 August 2026
Measurements held2
On Telegramt.me/ny_ceiver

Growth

747 August 2026 — 74 subscribers9 August 2026 — 74 subscribers7 August 20269 August 2026
2 measurements spanning 2 days. 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 73–75 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 22:0174no change
7 Aug 2026, 22:4074first reading

Engagement

20 posts held, back to 8 March 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
57.8%
avg views ÷ 74 subscribers
Avg views / post
42.8
4 posts measured
Reaction rate
2.17%
reactions ÷ views · ER floor
Posts in window
4
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 1 of 4 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 4 August 2026
Posts held20 (8 March 20264 August 2026)
Views total171
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 22:01 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
902
Videos
124
Links
877

Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

11 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 36.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
436.4%
👍327.3%
🥰327.3%
😢19.09%

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 6 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 11reactions 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 8 March 2026 to 4 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

4 Aug 2026, 17:52 UTC16 viewsread 9 August 2026
Forwarded from @illusory_world

提前预定本月最佳视频 https://www.bilibili.com/video/BV1buuF6zEVg

30 Jul 2026, 16:20 UTC46 views1 reactionsread 9 August 2026

很多时候 活在一成不变的生活中的人 是感受不到自己的痛苦的 #剧透警告 建议看完原作再看这篇解析() 【只看剧情同样是神作!彩叶和辉夜的感情有多独特?万字解读《超时空辉夜姬》-哔哩哔哩】 https://www.bilibili.com/video/av116213711639725

🥰1

27 Jul 2026, 16:03 UTC45 viewsread 9 August 2026
Forwarded from @SmartHypercube_channel

AI 太喜欢写空话/废话了,最近我和 @hejiyan 收集了一些例子并分析其中的具体问题,整理了一份关于何为空话/废话的文档,可以直接发给 AI: https://nofluff.0x01.me/

18 Jul 2026, 14:50 UTC64 viewsread 9 August 2026
Forwarded from @hatschannel

也就是说,前端开发圈子在经历了二十年构建工具、打包工具和各种 Hydration 方案的飞速演进和迭代后,整个行业兜兜转转又回到了原点。 大家气喘吁吁地发现,现在用的各种方案看起来跟当年通过 FTP 上传的文件简直一模一样。这种技术本能从未消失——时过境迁,一切又变了回来。 (手工翻译) src: 《在你不经意间,前端到底发生了什么》

9 Jul 2026, 05:23 UTC90 views3 reactionsread 9 August 2026
Forwarded from @noticeboardthings

https://telegra.ph/有什么问题人类解决得如此出色以至于年轻人都没意识到它曾经是个巨大的问题-07-02

👍3

6 Jul 2026, 18:39 UTC91 viewsread 9 August 2026

【因为不满这款音游,他制作了节奏天国-哔哩哔哩】 https://www.bilibili.com/video/av116873089851054

23 May 2026, 03:43 UTC119 viewsread 9 August 2026

【Mii:我还能抢救一下。任天堂如何拯救过时的设计?-哔哩哔哩】 https://www.bilibili.com/video/av116550933742070

22 Apr 2026, 07:23 UTC183 views4 reactionsread 9 August 2026

转自空间,有所同感 建议大家尽量不要「长期待在家里」 ​​不知道你有没有这样的感觉:在家待久了,整个人会慢慢变得迟钝、乏力,对什么都提不起劲。​明明没做什么,却总觉得累。有时候甚至一整天不出门,只是刷手机、发呆,时间就过去了,心里却空落落的。 最近一个朋友跟我聊天,她说:“去年我辞职在家半年,本来想好好休息、学点新技能,结果越待越慌。每天刷手机、睡觉,时间过得特别快,但心里越来越没底。后来我强迫自己每天下午必须出门,哪怕只是去图书馆坐两个小时,整个人都变得清爽了。我才明白,人真的不能把自己关太久。” ​从心理学角度看,人的心理状态和所处环境是相互影响的。长期待在单一、封闭的环境中,接收的刺激会变少,情绪容易陷入“低唤醒”状态——就像一潭很少流动的水,慢慢会失去活力。 ​在家里,我们往往会切换到最放松、最不消耗意志力的模式:穿着睡衣,刷着手机,时间在碎片信息中溜走。这种状态短期内让人感到安全,但长期却会削弱我们的行动力和对

4

19 Apr 2026, 09:15 UTC129 views0 reactionsread 9 August 2026
Forwarded from @solidot

果糖不只是糖,它更像是激素 2026-04-19 13:19 by 大魔法师 根据发表在《Nature Metabolism》期刊上的一项研究,果糖在化学结构上与葡萄糖几乎完全相同,然而在行为上几乎完全不同,它更像是激素。当蔗糖和玉米糖浆在口腔内溶解成葡萄糖和果糖,其比例基本相同。葡萄糖会促使胰岛素水平上升,被细胞吸收,肝脏将不需要的部分储存为糖原,任何多余的糖原都会在严格调控下转化为脂肪。果糖的代谢途径则完全不同。它绕过了糖酵解途径中最重要的调控酶——果糖激酶 1 (PFK1)。结果是果糖代谢几乎没有“关闭”机制。果糖不仅仅是一种热量,它是一种代谢信号,能以与葡萄糖截然不同的方式促进脂肪的生成和储存。果糖会告诉肝脏制造脂肪,为饥荒做准备。这对于一只靠秋季浆果增肥的熊而言有意义,但对于春季饮碳酸饮料的人类而言不是好事。过去二十年富裕国家的含糖饮料消费量一直在下降,但肥胖率仍然在持续上升,直到 GLP-1 减肥药流行后才放缓。

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

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

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

“NY 的实况转播器” (@ny_ceiver), 74 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/ny_ceiver.

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.