不知道算不算羊毛🤔全家很火的袜子现在打折,1000 日元 3 双 不过个人感觉这袜子一点不好穿🤣 活动时间:8/25(火)〜8/31(月)

Channel
浮生东京
@LifeJapan
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
7,444subscribers
-23 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001153607708 |
|---|---|
| Type | Channel |
| Username | @LifeJapan |
| Description | 讨论组 @JapanChats 商务合作 @appdo_bot 时不时唠叨点东京的事儿。不公正、不客观、不理性。分享有关 城市/美食/潮流/风景/人文 的东西。 推特 https://twitter.com/SimonJP404 博客 https://song.al Buy ads: https://telega.io/c/LifeJapan |
| Created | 9 January 2021 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/LifeJapan |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 00:54 | 7,444 | +1 |
| 24 Aug 2026, 14:49 | 7,443 | -3 |
| 20 Aug 2026, 14:37 | 7,446 | +7 |
| 17 Aug 2026, 09:24 | 7,439 | -13 |
| 13 Aug 2026, 11:23 | 7,452 | -13 |
| 10 Aug 2026, 19:34 | 7,465 | -3 |
| 7 Aug 2026, 20:14 | 7,468 | +1 |
| 6 Aug 2026, 22:00 | 7,467 | first reading |
Engagement
50 posts held, back to 26 July 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 15 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 18.4%
- avg views ÷ 7,444 subscribers
- Avg views / post
- 1,370
- 39 posts measured
- Reaction rate
- 0.665%
- reactions ÷ views · ER floor
- Posts in window
- 39
- of 50 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 34 of 39 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 50 (26 July 2026 – 28 August 2026) |
| Views total | 53,415 |
| Reactions total | 316 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 22:49 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
- ≈2,670
- Videos
- ≈317
- Links
- ≈475
Lifetime counters from Telegram’s own channel header, read 28 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.
- Video runtime
- 3m 59s
- Average length
- 48s
Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
382 reactions across 42 posts, in 20 distinct kinds. The most used accounts for 28.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 109 | 28.5% | |
| 👍 | 51 | 13.4% | |
| 🗿 | 45 | 11.8% | |
| 🙏 | 38 | 9.95% | |
| 🆒 | 30 | 7.85% | |
| ⚡ | 20 | 5.24% | |
| 🔥 | 14 | 3.66% | |
| 😭 | 12 | 3.14% | |
| 💔 | 10 | 2.62% | |
| 🎄 | 8 | 2.09% | |
| 🤩 | 8 | 2.09% | |
| 🤪 | 7 | 1.83% | |
| 🏆 | 6 | 1.57% | |
| 🥰 | 6 | 1.57% | |
| ❤🔥 | 4 | 1.05% | |
| 🌭 | 4 | 1.05% | |
| 🕊 | 4 | 1.05% | |
| 🫡 | 3 | 0.785% | |
| ☃ | 2 | 0.524% | |
| 👏 | 1 | 0.262% |
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 42 of the 50 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 382reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 26 July 2026 to 28 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
要想摸哪儿都行,还得有一把趁手的指甲刀 说到指甲刀,我推荐“贝印 KAI 关孙六” 一剪二磨三上手,用过的都说好😆 https://link.amazon/B05GKhpLt
👍11🤪3🤩1
热烈恭喜 02 年老弟 全款无分期 喜提 26 年苹果擦镜布一块🎉
🆒12
日本艺术家草间弥生去世。
🙏24🕊4
最值得买的新品:https://www.apple.com/jp/shop/product/mlh74fe/a/%E3%83%9D%E3%83%AA%E3%83%83%E3%82%B7%E3%83%B3%E3%82%B0%E3%82%AF%E3%83%AD%E3%82%B9
🤩7
三井已经支持苹果商店免息分期。
我在中华物产店买中国零食,已经习以为常了; 后面去了附近一家泰国人开的亚洲物产店,发现同样的中国零食便宜多了🤡 叠甲:仅限个人消费经历和个别店铺的价格对比,不代表所有中华物产店,也不讨论族群问题。商品价格还会受进货渠道、房租、汇率、促销等因素影响,纯属看到价差后的个人吐槽。 https://x.com/SimonJP404/status/2092052373023895762
🎄8❤1😭1🆒1
日本出境税涨至 3000 日元,新增税收被用于防熊和樱花害虫治理 日本媒体披露,7 月 1 日起,日本“出境税”(国际观光旅客税)已从每人每次 1000 日元提高至 3000 日元。日本国税厅资料确认,这项税原则上向所有从日本出境的旅客征收,包括日本人和外国人。 不过,日本政府同时通过降低日本公民护照办理手续费等措施,抵消部分本国居民新增负担。报道估算,本轮增税中,日本人实际承担部分约为 164 亿日元,外国旅客新增负担预计约 646 亿日元,因此增税后的新增税源主要来自访日外国人。
🗿17⚡1
ether.fi 这卡也不错,目前可以日本KYC,也是日常返现 3% 重要的是这卡没门槛,非托管,直接返现 3%,而且返现的是USD https://www.ether.fi/@appdo
❤2
近几个月已经完全从日元消费切换成了美元💵 刷Plasma Card已经成为常态,每月都能刷满返现额度🥹 不得不说在日本消费美元还是很友好的,还有没申请的朋友可以抓紧注册一下,体验美元笔笔返现3%的快乐🥳 目前已经有787位朋友通过我的邀请码 APPAPP 开通,感谢大家☺️ 之前的评测: https://t.me/LifeJapan/3534
🔥6
锐评这个桃子味儿的: 喝了一口一股子臭味,差点吐了; 后面品了一下发现是咖啡和桃子味儿混了,喝着还行😳 冷冻一下更好喝,倒是不齁得慌
⚡6
卧槽了地震前一秒我刚醒了一下,下一秒就开始响了🥲
🙏14
Showing the 12 most recent of 50 posts we hold for @LifeJapan. 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 — 897,565 of 1,626,935entries 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.
Mentions
Named by 3 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.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@NewlearnerChannel · 66,807
Telegram ranks this channel #19 of 62 here — alongside 61 others — read 21 August 2026
@tnews365 · 157,345
Telegram ranks this channel #22 of 59 here — alongside 58 others — read 12 August 2026
@pelosi3 · 70,456
Telegram ranks this channel #28 of 51 here — alongside 50 others — read 20 August 2026
@piracy6 · 77,186
Telegram ranks this channel #46 of 61 here — alongside 60 others — read 19 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“浮生东京” (@LifeJapan), 7,444 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/LifeJapan.
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.