今天是立秋 (13/24) 因为今年立秋没有出新曲,所以暂时不需要小心立秋 https://fixupx.com/lxhcat/status/2085516269324009861
❤3

Channel
@milkice_portal
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,223subscribers
+121 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001272428567 |
|---|---|
| Type | Channel |
| Username | @milkice_portal |
| Created | 27 May 2018 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/milkice_portal |
Music — 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 14 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 00:37 | 3,223 | +9 |
| 11 Sept 2026, 07:17 | 3,214 | +13 |
| 6 Sept 2026, 21:59 | 3,201 | +18 |
| 2 Sept 2026, 07:24 | 3,183 | +12 |
| 30 Aug 2026, 02:36 | 3,171 | +16 |
| 26 Aug 2026, 16:46 | 3,155 | +10 |
| 23 Aug 2026, 10:44 | 3,145 | +13 |
| 19 Aug 2026, 22:53 | 3,132 | +12 |
| 16 Aug 2026, 19:37 | 3,120 | +7 |
| 13 Aug 2026, 06:53 | 3,113 | +8 |
| 7 Aug 2026, 03:00 | 3,105 | +3 |
| 6 Aug 2026, 08:16 | 3,102 | first reading |
21 posts held, back to 9 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 3 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 21 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
546 reactions across 18 posts, in 25 distinct kinds. The most used accounts for 18.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 100 | 18.3% | |
| 🥰 | 88 | 16.1% | |
| 👍 | 63 | 11.5% | |
| ❤ | 33 | 6.04% | |
| 😈 | 29 | 5.31% | |
| 🐳 | 24 | 4.40% | |
| 🔥 | 24 | 4.40% | |
| 👎 | 20 | 3.66% | |
| 😡 | 19 | 3.48% | |
| 🤬 | 18 | 3.30% | |
| 💯 | 17 | 3.11% | |
| 😢 | 16 | 2.93% | |
| 🍌 | 14 | 2.56% | |
| 💩 | 14 | 2.56% | |
| 😇 | 13 | 2.38% | |
| 🖕 | 11 | 2.01% | |
| 🥱 | 11 | 2.01% | |
| 🤮 | 9 | 1.65% | |
| 🤯 | 7 | 1.28% | |
| 🌭 | 4 | 0.733% | |
| 5 further kinds | 12 | 2.20% |
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 19 of the 21 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 576 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 9 July 2026 to 7 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.
今天是立秋 (13/24) 因为今年立秋没有出新曲,所以暂时不需要小心立秋 https://fixupx.com/lxhcat/status/2085516269324009861
❤3
推一个UP,视频关于编曲,也会顺带讲乐理、流派历史、采样,我这种乐理小白都看的很有意思,整个视频的音乐和解说都踩点令人很舒适非常的grooving,就像下面这个 * b站是字幕组搬运,对国人更友好,YouTube上有生肉 https://www.bilibili.com/video/av115214175441030?p=1
🥰6👍2
成功让湖南群友吃无锡小笼包,看咬下那一刻的皱眉样子我很开心 😈
😈17🤯5😁2
你说现在温度没有40度我是不信的,因为高铁上点阵屏写的室外温度都已经上40度了😡
😁21
如果有卡商本人也可以直接过来打广告没关系的🥲
来问问订阅者有没有比较推荐的流量卡可以办 🤔 感觉可能需要着手准备下了
👀1
*aigc
🔥19
下次当你想打喷嚏的时候,在预测到即将要喷出的前一刻,可以先小声说出「皮卡」,最后以「chu」的嘴形打出喷嚏,这样你就会变成一只打喷嚏的皮卡丘,非常的可爱 * 初中的时候亲测过,节目效果非常好 你现在一定没有在跟着上面的步骤模拟皮卡丘打喷嚏吧,对吧对吧😈
🥰51😁4❤2
希望大家多多在我的频道留言,万一大家哪天出名了我就可以拿着大家的语录当经典向世人传颂了🥰
🥰31😁7🤡1
今天是大薯🍟 (11/24) https://fixupx.com/lxhcat/status/2080080453910814898
🔥4
一六%
#深夜小剧场 #nsfw
🐳24🌭4
Showing the 12 most recent of 21 posts we hold for @milkice_portal. 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.
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.
Named by 5 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.
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.
This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“Milkice's 生而喵喵” (@milkice_portal), 3,223 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/milkice_portal.
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.