应该是专有名词

Channel
Karen医生の日常
@KarenMoeMoe
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
9,370subscribers
+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 | -1001077688074 |
|---|---|
| Type | Channel |
| Username | @KarenMoeMoe |
| Created | 2 October 2017 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/KarenMoeMoe |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 03:15 | 9,370 | +12 |
| 12 Aug 2026, 06:34 | 9,358 | +16 |
| 9 Aug 2026, 05:01 | 9,342 | -5 |
| 6 Aug 2026, 14:30 | 9,347 | no change |
| 6 Aug 2026, 11:04 | 9,347 | first reading |
Engagement
34 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 15 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.97%
- avg views ÷ 9,370 subscribers
- Avg views / post
- 841
- 34 posts measured
- Reaction rate
- 0.958%
- reactions ÷ views · ER floor
- Posts in window
- 34
- of 34 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 21 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 34 (31 July 2026 – 15 August 2026) |
| Views total | 28,588 |
| Reactions total | 199 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 08:53 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
- Video runtime
- 18s
- Average length
- 18s
Measured directly from 1 video 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
199 reactions across 20 posts, in 18 distinct kinds. The most used accounts for 17.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💅 | 34 | 17.1% | |
| ❤ | 31 | 15.6% | |
| 😇 | 28 | 14.1% | |
| 😱 | 27 | 13.6% | |
| 👍 | 19 | 9.55% | |
| 😁 | 15 | 7.54% | |
| 🥰 | 9 | 4.52% | |
| 🤡 | 8 | 4.02% | |
| 👏 | 6 | 3.02% | |
| 🥴 | 6 | 3.02% | |
| 👨💻 | 3 | 1.51% | |
| 🤯 | 3 | 1.51% | |
| 👎 | 2 | 1.01% | |
| 🔥 | 2 | 1.01% | |
| 😨 | 2 | 1.01% | |
| 🤣 | 2 | 1.01% | |
| ✍ | 1 | 0.503% | |
| 😢 | 1 | 0.503% |
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 21 of the 34 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 199reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 31 July 2026 to 15 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
繁中中英混用挺多的,之前看繁中涩涩小说部分内容真的很难快速阅读理解下去(
給所有這幾天上工的PGY:隨時檢查護理紀錄! 我在某區域醫院PGY時,半夜被call病人急救。後來ROSC去ICU。我睡不著覺點護理紀錄看,護理紀錄寫好幾次打給我,我都說續觀,然後最後一次護理師去看,發現心跳停止摳我,我才出來。 我大為震驚,因為我完全沒接到電話! 隔天早上我立刻往上報這件事,查了監視器發現是外傭半小時內好幾次到護理站求救,說阿公喘,但護理師都在聊天,把外傭打發回去,也沒打給我,最後一次真的去才發現病人已經咖掉。 我們病房的住院醫師學長暴怒,帶著我去找阿長興師問罪,阿長在我們面前刪掉護理紀錄,說沒這件事,但沒按儲存。一個學長把阿長推開,另一個學長按取消然後拿出手機拍螢幕,阿長才跟我鞠躬道歉。 後來寫紀錄的小夜護理師一邊哭,一邊說是三個大夜班學姊教她這樣寫的。 我的主治醫師事後轉述,院層級討論這件事的時候,醫師端都大怒,要求火掉這幾個護理師,但護理部說「平常你們住院醫師犯錯,我們也不會要求開除住院醫師啊…
😱3
本來我也恨國 後來中醫調理好了
👏2
https://fxtwitter.com/dearemon/status/2083460003487465535?s=20
💅3🤣1
File, posted without a caption
hsn8086/2083264603107303522
Photo, posted without a caption
大哥铁腚是个硬汉😨
🤯1
侃山雕 (Twitter/X) 今天做了一例感染性心内膜炎,左冠窦和无冠窦各有一个感染破口,再晚些做指定要主动脉夹层,往近端破的话可能人就去了。感冒发烧还是要早诊断早治疗,不要硬抗啊。
Photo, posted without a caption
😁3
File, posted without a caption
😨2
Showing the 12 most recent of 34 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.
Citation-graph rank
Citation-graph rank — 1,122,902 of 1,481,243entries 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.
@langrenshudong · 5,1532 posts叮咚鸡叮咚鸡
@ddjddjdgj · 1,2111 post今天你想跑路了吗??
@getoutforchina · 169,8741 postibuki🏖🔭🎮帰宅部
@ibuki_Kitakubu · 25,7601 post浪人新闻
@LangRenNewsNew · 10,5191 post平壤卫视
@pingrangTV · 29,0451 postRoumd Doggos and Puppies
@roumdoggos · 5701 post竹新社
@tnews365 · 156,6031 post心惊报
@xinjingdaily · 77,5051 post知乎大巴扎
@zhihu_bazaar · 22,4071 post
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.
@woshadiao · 115,392
Telegram ranks this channel #24 of 52 here — alongside 51 others — read 14 August 2026
@tnews365 · 156,603
Telegram ranks this channel #48 of 59 here — alongside 58 others — read 12 August 2026
This channel appears in 2 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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Karen医生の日常” (@KarenMoeMoe), 9,370 subscribers as measured 16 August 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.