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Channel

Karen医生の日常

@KarenMoeMoe

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

9,401subscribers

+54 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-1001077688074
TypeChannel
Username@KarenMoeMoe
Created2 October 2017 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/KarenMoeMoe

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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 why it has no browse page of its own yet.

Growth

9,3429,4019,371.56 August 2026 — 9,347 subscribers6 August 2026 — 9,347 subscribers9 August 2026 — 9,342 subscribers12 August 2026 — 9,358 subscribers16 August 2026 — 9,370 subscribers19 August 2026 — 9,372 subscribers23 August 2026 — 9,371 subscribers25 August 2026 — 9,382 subscribers29 August 2026 — 9,388 subscribers31 August 2026 — 9,393 subscribers4 September 2026 — 9,390 subscribers9 September 2026 — 9,396 subscribers13 September 2026 — 9,390 subscribers17 September 2026 — 9,401 subscribers6 August 202617 September 2026
14 measurements spanning 42 days, net +54. 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 9,333–9,410 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 17:419,401+11
13 Sept 2026, 12:169,390-6
9 Sept 2026, 17:569,396+6
4 Sept 2026, 09:549,390-3
31 Aug 2026, 23:389,393+5
29 Aug 2026, 03:259,388+6
25 Aug 2026, 21:139,382+11
23 Aug 2026, 02:399,371-1
19 Aug 2026, 08:369,372+2
16 Aug 2026, 03:159,370+12
12 Aug 2026, 06:349,358+16
9 Aug 2026, 05:019,342-5
6 Aug 2026, 14:309,347no change
6 Aug 2026, 11:049,347first reading

Engagement

49 posts held, back to 31 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 32 pages of 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 49 posts for this entry, the most recent from 19 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
33s
Average length
17s

Measured directly from 2 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

347 reactions across 33 posts, in 23 distinct kinds. The most used accounts for 15.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁5215.0%
😱4312.4%
😇4212.1%
❤3911.2%
💅3610.4%
👍318.93%
🥰164.61%
🌚154.32%
🤯123.46%
💘102.88%
👏92.59%
🤡82.31%
😨61.73%
🥴61.73%
😢51.44%
🤣41.15%
👨‍💻30.865%
😭30.865%
👎20.576%
🔥20.576%
3 further kinds30.865%

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 35 of the 49 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 347 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 49 most recent posts we hold, published 31 July 2026 to 19 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

19 Aug 2026, 02:44 UTC≈1,420 views7 reactionsread 29 August 2026
File

File, posted without a caption

😱5🤬1😁1

19 Aug 2026, 02:44 UTC≈1,270 views21 reactionsread 29 August 2026
Forwarded from @chomebanchigoPhoto

尼古中国。

😇12😁5😭3❤1

19 Aug 2026, 02:43 UTC≈1,130 viewsread 29 August 2026

常染色体显性遗传的医生 https://x.com/muroyamuron/status/2085339271062560794

19 Aug 2026, 02:43 UTC964 views6 reactionsread 29 August 2026
Forwarded from @noticeboardthingsPhoto

Photo, posted without a caption

❤6

19 Aug 2026, 02:43 UTC921 views10 reactionsread 29 August 2026
Forwarded from @noticeboardthingsPhoto

被大象这类机构盯上,你的病历就是提款机 🌞 最近韩杰案引爆医疗圈,专门盯着儿科、急诊、产科高危病例,靠打医疗纠纷、推动追责疯狂引流变现?今天来看看这类商业化医法机构完整套路是什么,很多同行踩坑都是从一份不合格病历开始的。 首先纠正一个很多人搞错的点:大象康法并不是传统意义上的律师事务所,它本质是互联网科技公司,靠着医疗纠纷商业化跑通了一套闭环模式。 第一步,接收患者委托之后,不靠法院摇号的中立司法鉴定,先找自家合作的法医、医学专家,拿着碎片化病历出具一份倾向性极强的单方专家意见。 第二步,拿着这份意见去协商索赔,民事拿到高额赔偿之后,还会继续推动卫健委行政处罚,甚至往医疗事故罪刑事立案走。最典型的就是抚州韩杰医生案,一个基层首诊儿科医生,交接班出现诊疗瑕疵,民事赔了146万,行政处罚走完,还被刑事羁押近一年。 很多同行觉得,我好好看病就行了,纠纷离我很远。但这套商业模式最可怕的地方,是它专门盯着病历漏洞下手: 交接班记录写得…

🤯6😢4

19 Aug 2026, 02:39 UTC861 views13 reactionsread 29 August 2026
Video

Source ✤ Via @nhk_news 通常診療を再開した熊本県八代市の「熊本総合病院」 今回の熊本地震の瞬間、手術室の緊迫した様子が病院のカメラに映っていました↓ https://news.web.nhk/newsweb/na/na-k10015198461000

👍9😱4

19 Aug 2026, 01:49 UTC837 views6 reactionsread 29 August 2026
Forwarded from @zhihu_bazaar

在古代如果被皇上赐死,你会愿意选择白绫还是毒酒呢? | 原文

😨4❤1👍1

19 Aug 2026, 01:43 UTC760 views14 reactionsread 29 August 2026
Forwarded from @chomebanchigoPhoto

主辦方保有最終修改、變更、活動解釋及取消本活動之權利。😋

😁14

Showing the 12 most recent of 49 posts we hold for @KarenMoeMoe. 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

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.

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.

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.

煎蛋无聊图
@jandan_pic · 25,263
Telegram ranks this channel #18 of 51 here — alongside 50 others — read 14 September 2026
飛蛾書庫
@MothLib · 34,658
Telegram ranks this channel #24 of 50 here — alongside 49 others — read 3 September 2026
赛博忏悔室
@cyber_confessional · 40,149
Telegram ranks this channel #24 of 35 here — alongside 34 others — read 30 August 2026
每日沙雕墙
@woshadiao · 115,194
Telegram ranks this channel #24 of 52 here — alongside 51 others — read 14 August 2026
平壤卫视
@pingrangTV · 29,178
Telegram ranks this channel #25 of 45 here — alongside 44 others — read 8 September 2026
2019-nCoV疫情实时播报🅥
@nCoV2019 · 33,065
Telegram ranks this channel #25 of 59 here — alongside 58 others — read 4 September 2026
知乎暴论
@mightyflame · 26,081
Telegram ranks this channel #28 of 42 here — alongside 41 others — read 13 September 2026
即刻精选
@jike_collection · 35,819
Telegram ranks this channel #32 of 48 here — alongside 47 others — read 2 September 2026
Iyouport
@iyouport · 27,837
Telegram ranks this channel #36 of 55 here — alongside 54 others — read 10 September 2026
zaobao.sg 早报
@zaobaosg · 36,506
Telegram ranks this channel #36 of 59 here — alongside 58 others — read 1 September 2026
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,529
Telegram ranks this channel #38 of 55 here — alongside 54 others — read 10 September 2026
如何与沙雕相处
@ruheyushadiaoxiangchu · 28,742
Telegram ranks this channel #38 of 44 here — alongside 43 others — read 9 September 2026
简中互联网废物大赏
@fucku_idiot · 40,459
Telegram ranks this channel #38 of 47 here — alongside 46 others — read 30 August 2026
【李老师不是你老师】官方电报
@lilaoshibushinilaoshi · 48,585
Telegram ranks this channel #38 of 60 here — alongside 59 others — read 26 August 2026
☠️三战快报☠️一级战备
@endofxi · 21,476
Telegram ranks this channel #39 of 49 here — alongside 48 others — read 23 September 2026
中国数字时代
@cdtchinesefeed · 44,158
Telegram ranks this channel #39 of 60 here — alongside 59 others — read 29 August 2026
敏感经济信息分享
@pelosi3 · 70,867
Telegram ranks this channel #42 of 51 here — alongside 50 others — read 20 August 2026
FREE 中文
@freechinese · 27,568
Telegram ranks this channel #45 of 55 here — alongside 54 others — read 10 September 2026
学习墙国🐸
@XueXi_China · 87,338
Telegram ranks this channel #45 of 48 here — alongside 47 others — read 17 August 2026
科技&趣闻&杂记
@kejiqu · 36,460
Telegram ranks this channel #46 of 48 here — alongside 47 others — read 1 September 2026
竹新社
@tnews365 · 164,267
Telegram ranks this channel #48 of 59 here — alongside 58 others — read 12 August 2026
看鉴中国 OutsightChina
@OutsightChina · 41,309
Telegram ranks this channel #49 of 58 here — alongside 57 others — read 29 August 2026
上班划水之无聊图
@goworkbitch · 24,812
Telegram ranks this channel #50 of 52 here — alongside 51 others — read 15 September 2026
少数派sspai
@sspai · 38,286
Telegram ranks this channel #51 of 58 here — alongside 57 others — read 31 August 2026

This channel appears in 34 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Karen医生の日常” (@KarenMoeMoe), 9,401 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/KarenMoeMoe.

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.