宜家为布罗艾 鲨鱼出了一本的同理心手册 source
❤3👍2

Channel
@xiaohongshu_001
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
4,667subscribers
+64 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001910087364 |
|---|---|
| Type | Channel |
| Username | @xiaohongshu_001 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/xiaohongshu_001 |
Memes & entertainment — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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, 04:02 | 4,667 | -1 |
| 11 Sept 2026, 04:35 | 4,668 | +9 |
| 6 Sept 2026, 15:01 | 4,659 | -2 |
| 2 Sept 2026, 05:56 | 4,661 | +1 |
| 30 Aug 2026, 00:25 | 4,660 | -5 |
| 26 Aug 2026, 23:02 | 4,665 | +4 |
| 23 Aug 2026, 20:24 | 4,661 | +2 |
| 20 Aug 2026, 13:04 | 4,659 | +16 |
| 17 Aug 2026, 10:15 | 4,643 | +34 |
| 13 Aug 2026, 11:48 | 4,609 | -2 |
| 10 Aug 2026, 13:41 | 4,611 | +6 |
| 7 Aug 2026, 06:34 | 4,605 | +2 |
| 6 Aug 2026, 20:46 | 4,603 | first reading |
8 posts held, back to 28 January 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 7 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 8 posts for this entry, the most recent from 21 July 2026. An engagement rate over an empty window would be a number about nothing.
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.
48 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 72.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 35 | 72.9% | |
| 👍 | 13 | 27.1% |
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 8 of the 8 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 48 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 28 January 2026 to 21 July 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.
宜家为布罗艾 鲨鱼出了一本的同理心手册 source
❤3👍2
自从给他做了这件衣服总想拜一拜他 source
❤5
“师傅向我求爱怎么办” source
👍5
假如结婚和离婚流程调换 source
❤2
外公最后那段话,你绝对猜不到 source
❤3
原来熄灯后聋人是这样聊天啊 大家没想到吧 source
❤17👍3
46岁山东大汉,既是蝴蝶宝贝,也是单亲爸爸 source
👍3
1月30日本周五,美国多个城市将迎来一轮全国性抗议与罢工行动。这次行动最初由明尼苏达州爆发的“停止联邦治安暴力”集会延伸而来,但其内在逻辑远不止移民政策;它正代表着一场更深层的制度性张力释放——当联邦执法力量与普通公民的生活权益发生对抗时,公众集体行动成为一种惯性反馈。 过去几周,明尼阿波利斯连续爆出多起由联邦移民执法人员(主要隶属于 ICE/CBP)在执行“移民管控行动”中开枪致死美国公民的事件。 1月7日,美国公民 Renée Nicole Good 在一次执法现场被联邦人员枪杀;1月24日,另一名美国公民 Alex Pretti 在拍摄现场时被开枪致死。官方最初的说法是“存在威胁行为”,但现场视频与多方证据显示两人当时手中只有普通物件(手机等),并未发生明显威胁行为。这些细节在调查过程中被曝光后,迅速引发了公众对联邦执法权力边界及问责机制的质疑。 抗议很快超越了原本围绕移民政策的范畴,演化为对执法透明度、制度问责和宪…
❤5
Showing the 8 most recent of 8 posts we hold for @xiaohongshu_001. 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 1 registered channel — 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 1 seed channel's Telegram-generated recommendation list 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.
“小红书精选” (@xiaohongshu_001), 4,667 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/xiaohongshu_001.
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.