为什么呢好难猜啊

Channel
惶心 Monologue ™
@huangxinn
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
180subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001378981948 |
|---|---|
| Type | Channel |
| Username | @huangxinn |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/huangxinn |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 00:45 | 180 | +2 |
| 8 Aug 2026, 13:30 | 178 | no change |
| 6 Aug 2026, 12:43 | 178 | first reading |
Engagement
19 posts held, back to 31 March 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.61%
- avg views ÷ 180 subscribers
- Avg views / post
- 15.5
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- of 19 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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 19 (31 March 2026 – 5 August 2026) |
| Views total | 62 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 13:30 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 19 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 31 March 2026 to 5 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
酷安小编称多年收到上万封厂商下架函,仅苹果未发过 酷安小编发文称,酷安多年来收到不少厂商发来的内容下架函,累计估计有上万封,几乎每天都有,其中只有苹果从未发过函。有的厂商态度十分强硬,甚至到了「捂嘴」的地步,用户说一点产品不好都不行,就是不能让品牌出现任何负面信息。 文章认为,一个产品在网上完全没有负面评价反而显得假,而且遭遇此类处理的发声用户往往很容易转投其他品牌。文章最后建议用户在说产品缺点时用词平和客观、有理有据、实事求是,不要使用个人情绪过重的表达。 酷安小编 🌸 在花频道 · 茶馆水群 · 投稿通道
Photo, posted without a caption
cdnjs Status - Incident History Searching libraries unavailable
Good Code Good Chat Good Morning
我现在越来越没办法听一些播客和对谈了,就那种找几个有意思的名词然后用大量形容词密集地堆在一起去解构生活中某件小事的表达方式真的让我审美疲劳了。比如关于“我宅家一天”这个话题,用这种模式来聊可能就会变成: A:我今天没出门,但我发现其实我并不需要出门,出门在我的生活中好像被当成一种被规定的动作,好像以前我会默认,只有出门才能与世界建立某种连接。 B:你觉得这种连接是可以被舍弃的吗? A:我最近看到一个词,觉得蛮有意思的,叫“反连接”,但它其实并不是激烈的汹涌的对抗,更像温和的脱离的确认,它讨论的命题其实是我们能不能重新辨认哪些连接是需要、哪些是指令。 B:“指令”,我很喜欢你说的这个词诶,我觉得特精准。 …… source
GitHub Public Timeline Feed hifocus starred kanshurichard/enableAppleAI
Photo, posted without a caption
GitHub Public Timeline Feed hifocus starred ggml-org/whisper.cpp
A l l S y s t e m s O p e r a t i o n a l
GitHub Public Timeline Feed hifocus starred webrating/starfolio
草,第一次见。苹果!库克!
Showing the 12 most recent of 19 posts we hold for @huangxinn. 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 — 1,338,636 of 1,340,412entries 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“惶心 Monologue ™” (@huangxinn), 180 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/huangxinn.
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.