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Channel

浮生东京

@LifeJapan

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,425subscribers

-42 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
TypeChannel
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
Created9 January 2021 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/LifeJapan

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 71% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

7,4107,4687,4396 August 2026 — 7,467 subscribers7 August 2026 — 7,468 subscribers10 August 2026 — 7,465 subscribers13 August 2026 — 7,452 subscribers17 August 2026 — 7,439 subscribers20 August 2026 — 7,446 subscribers24 August 2026 — 7,443 subscribers28 August 2026 — 7,444 subscribers30 August 2026 — 7,440 subscribers2 September 2026 — 7,441 subscribers7 September 2026 — 7,431 subscribers11 September 2026 — 7,429 subscribers15 September 2026 — 7,426 subscribers28 September 2026 — 7,431 subscribers6 October 2026 — 7,425 subscribers12 October 2026 — 7,418 subscribers15 October 2026 — 7,416 subscribers18 October 2026 — 7,420 subscribers22 October 2026 — 7,416 subscribers25 October 2026 — 7,414 subscribers28 October 2026 — 7,410 subscribers31 October 2026 — 7,416 subscribers3 November 2026 — 7,418 subscribers6 November 2026 — 7,429 subscribers10 November 2026 — 7,425 subscribers7,4256 August 202610 November 2026
25 measurements spanning 96 days, net -42. 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 7,401–7,477 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
10 Nov 2026, 10:217,425-4
6 Nov 2026, 19:377,429+11
3 Nov 2026, 09:467,418+2
31 Oct 2026, 08:407,416+6
28 Oct 2026, 05:587,410-4
25 Oct 2026, 11:197,414-2
22 Oct 2026, 05:557,416-4
18 Oct 2026, 13:007,420+4
15 Oct 2026, 23:067,416-2
12 Oct 2026, 18:467,418-7
6 Oct 2026, 01:577,425-6
28 Sept 2026, 12:167,431+5
15 Sept 2026, 19:567,426-3
11 Sept 2026, 21:577,429-2
7 Sept 2026, 05:007,431-10
2 Sept 2026, 17:137,441+1
30 Aug 2026, 16:447,440-4
28 Aug 2026, 00:547,444+1
24 Aug 2026, 14:497,443-3
20 Aug 2026, 14:377,446first reading

Engagement

81 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 31 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.4%
avg views ÷ 7,425 subscribers
Avg views / post
1,150
31 posts measured
Reaction rate
0.713%
reactions ÷ views · ER floor
Posts in window
31
of 81 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 24 of 31 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 10 November 2026
Posts held81 (26 July 2026 – 10 November 2026)
Views total35,497
Reactions total196
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 02:18 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
≈2,810
Videos
≈328
Links
≈511

Lifetime counters from Telegram’s own channel header, read 11 November 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
4m 53s
Average length
42s

Measured directly from 7 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

578 reactions across 65 posts, in 24 distinct kinds. The most used accounts for 24.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤14424.9%
👍7713.3%
🗿457.79%
🤪396.75%
🙏386.57%
🆒376.40%
😭315.36%
🍾244.15%
⚡223.81%
💔162.77%
🔥162.77%
❤‍🔥132.25%
💯132.25%
🐳101.73%
🥰101.73%
🎄81.38%
🤩81.38%
☃61.04%
🏆61.04%
🫡50.865%
4 further kinds101.73%

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 66 of the 81 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 578 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 81 most recent posts we hold, published 26 July 2026 to 10 November 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

Telegram’s own ‘edited’ marker: 4 of 31 posts held from the last 30 days (12.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

10 Nov 2026, 13:11 UTC440 views4 reactionsread 11 November 2026
Photo

终于拿到 Blue Bottle 圣诞节限定马克杯了🎉 好喜欢这个深绿色,在不同的角度下颜色在墨绿和深绿之间切换😊

🥰4

8 Nov 2026, 13:25 UTC795 views1 reactionsread 11 November 2026
Photo

#羊毛 綾鷹 525mlPET×24本 半价 仅需 1650 日元一箱,24 瓶 https://link.amazon/B03rKyZ9g

🆒1

7 Nov 2026, 14:45 UTC≈1,100 views0 reactionsread 11 November 2026

胖东来的出售假洋鬼子日本洗发水? 死磕胖东来,赴日打假记 https://www.youtube.com/watch?v=n00o7KbHv-g

7 Nov 2026, 08:59 UTC≈1,060 views4 reactionsread 11 November 2026
Photo

今天看到小蓝瓶圣诞限定的实物了,怎么感觉看上去黑乎乎的,一点也不绿啊😳️

☃4

7 Nov 2026, 05:11 UTC≈1,060 views10 reactionsread 11 November 2026
Photo

真是科技改变生活啊,MUSE 已经能帮我总结每个月的信用卡账单了🐶

👍10

5 Nov 2026, 13:01 UTC≈1,270 viewsread 11 November 2026
Photo

买企鹅买了 2 小时都没结账成功😡

5 Nov 2026, 01:44 UTC≈1,320 views2 reactionsread 11 November 2026

Blue Bottle 圣诞节限定开售了🎉 https://store.bluebottlecoffee.jp/products/g229025

❤‍🔥2

4 Nov 2026, 11:35 UTC≈1,370 views4 reactionsread 11 November 2026
Photo

Anker 100 瓦桌面充五折! https://link.amazon/B065JtzwH

👍4

4 Nov 2026, 11:09 UTC≈1,210 views11 reactionsread 11 November 2026
Photo

我做到了!我坐到了企鹅山手线!!

❤11

4 Nov 2026, 03:53 UTC≈1,220 views23 reactionsread 11 November 2026

我只是觉得,一个二十六岁的黄花大处男跟了我,不能让他连正经的东京居酒屋都没吃过。 那天东京下着小雨。 我带他穿过新宿思い出横丁狭窄的巷子,掀开一家老居酒屋的暖帘。 他坐在我对面,连烧鸟、串炸和もつ煮込み都分不清楚。 我没有笑他。 男人没见过世面,不是他的错。 女人既然把他带在身边,就有责任一点点教。 我替他点了两串鸡皮、一串葱鸡肉、一份鸡软骨,还有一碗热腾腾的牛杂煮。 教他烧鸟要趁热吃,鸡皮要点盐烤的,七味粉撒一点就够。 他听得很认真。 这一餐一共三千六百日元,我眼睛都没眨一下。 店员问,要不要再加一份冷奴。 我扫了一眼菜单。 四百八十日元。 我沉默了两秒。 “不用。” 有些东西可以给。 有些东西,不能惯。 后来我还是给他倒了一杯免费的冰水。 他捧着玻璃杯,坐在居酒屋暖黄色的灯光下,眼睛亮亮的。 我看着他,心里忽然软了一下。 东京这座城市很大。 我去过银座的高级寿司店,也去过六本木的高…

💯13🤪9❤1

4 Nov 2026, 03:21 UTC≈1,080 viewsread 11 November 2026

JINS 福袋开始了 https://x.com/jins_pr/status/2117783936810266654

Showing the 12 most recent of 81 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.

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 4 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.

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.

Newlearnerの自留地
@NewlearnerChannel · 68,274
Telegram ranks this channel #19 of 62 here — alongside 61 others — read 21 August 2026
竹新社
@tnews365 · 167,192
Telegram ranks this channel #22 of 59 here — alongside 58 others — read 12 August 2026
敏感经济信息分享
@pelosi3 · 72,487
Telegram ranks this channel #28 of 51 here — alongside 50 others — read 20 August 2026
黑洞资源笔记
@piracy6 · 77,993
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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“浮生东京” (@LifeJapan), 7,425 subscribers as measured 10 November 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.