曾经看过一个说法,什么你的屋子就是你的风水之类的。 当时我不以为意,还翻了好几个大白眼。 但是今天收拾完房间,我突然发现,这句话还真是怪有道理的。 —— 表面看,物品堆多了只是挡道而已;实际上,物品乱了,你内心也乱了。 我一度觉得自己在穿衣打扮方面很偷懒。 今天才发现,由于我的衣柜前面堆着一大堆纸箱子,门都拉不开。 所以大部分时候,我都宁愿凑合穿穿已经拿出来的旧衣服脏衣服,也不想艰难地挪开那堆东西,去找里面的新衣服。 —— 而且,当你所处的空间流动不顺畅,你在这里长期待着,就难以得到能量滋养。 尤其小户型,空间的每一角,隔段时间都要重新规划,才不至于乱了方寸。 我床边有个旧桌子,由于用久了螺丝钉都掉了,桌板面就开始倾斜。经常睡到一半,听见上面东西噼里啪啦往下掉的声音。 然而我宁愿每次费大力气把东西扶起来,等着它不知道什么时候往下掉,也不愿意把桌子重新修一修换一换,于是总影响睡眠质量。 —— 虽然我还挺…

Channel
即刻每周精选
@jike_weekly
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
129subscribers
+0 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 | -1001736792340 |
|---|---|
| Type | Channel |
| Username | @jike_weekly |
| Description | 每周五22点更新精选动态 |
| Created | Between 1 December 2021 and 10 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/jike_weekly |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 01:16 | 129 | no change |
| 6 Aug 2026, 18:03 | 129 | first reading |
Engagement
10 posts held, back to 10 March 2023 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 10 March 2023. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- ≈4,010
- Links
- ≈2,890
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. 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
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 2 of the 10 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 10 most recent posts we hold, published 10 March 2023 to 10 March 2023, 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
🌸 早樱的小步舞曲。 ✍️ @Fanta_Trip 🔗 原文
9命,被戳中,completely,谁懂啊。 ✍️ @给我写一首诗吧 🔗 原文
✍️ @NNOUU-.- 🔗 原文
“要不要告诉他那里漏水了” ✍️ @安安想静静 🔗 原文
当一个女生找了小十岁的男朋友。 女生闺蜜:你图他什么啊?! 女生本人:不明显吗? ✍️ @邱人万 🔗 原文
✍️ @某不知名退役魔法少女 🔗 原文
我老公发明了一种新型的送花方式。 早上他出门跑步,我说你要给我带一束好看的花花回来! 他回来的时候空着手,我正准备谴责他,他说,那个花店的花不怎么好看,一会咱俩去花卉市场挑,怎么样?! 然后我们真的开车去了成都花卉市场,简直是乱花渐欲迷人眼!我老公一边走一边说,这个好看来一束,那个很香来一束,那个没见过来一束! 我俩抱着十几束鲜切花回家,甚至还顺带买了两个盆栽!我整整收拾了三个小时!太累了,手都酸了,家里的各种瓶瓶罐罐全用上了! 我老公说,还是花卉市场的种类多,以后每次过节咱们都去那选,怎么样?! 我说,其实也不用每个节日都买花的! ✍️ @小熊猫不着急 🔗 原文
👍1
还没完? ✍️ @荒塘 🔗 原文
窗外的春天 南京师范大学随园 ✍️ @Heraclio 🔗 原文
Showing the 10 most recent of 10 posts we hold for @jike_weekly. 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 — 510,048 of 1,478,351entries 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.
Mentions
Named by 2 registered channels — 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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@jike_weekly named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 9 August 2026 – 9 August 2026
named in 1 post, 9 August 2026 – 9 August 2026
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.
“即刻每周精选” (@jike_weekly), 129 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/jike_weekly.
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.