江苏宜⭐️人民医院 ...62个巴掌...该打 #吃瓜
🎉2

Channel
@sucaiya8861
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
583subscribers
-11 since we began measuring on 24 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002137347589 |
|---|---|
| Type | Channel |
| Username | @sucaiya8861 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 24 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/sucaiya8861 |
International news — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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 |
|---|---|---|
| 19 Sept 2026, 17:58 | 583 | -1 |
| 10 Sept 2026, 11:21 | 584 | -6 |
| 31 Aug 2026, 09:45 | 590 | -4 |
| 25 Aug 2026, 09:33 | 594 | no change |
| 24 Aug 2026, 18:30 | 594 | first reading |
5 posts held, back to 18 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 1 page 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 5 posts for this entry, the most recent from 21 January 2026. An engagement rate over an empty window would be a number about nothing.
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.
4 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 3 | 75.0% | |
| ❤ | 1 | 25.0% |
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 2 of the 5 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 18 January 2026 to 21 January 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.
江苏宜⭐️人民医院 ...62个巴掌...该打 #吃瓜
🎉2
【#美国吞并格陵兰将导致北约政治死亡#】1月17日,特朗普突然宣布自2月起将对派兵前往格陵兰的英法德等八国,加征10%的关税,以此逼欧洲让渡格陵兰岛控制权给美国。这一“不卖就罚”的荒诞要求在欧洲引发强烈反弹。格陵兰风暴会导致北约解散吗?欧洲手里还有哪些反制“唐罗主义”的底牌?这场冲突又将怎样改写西方与国际秩序?
❤1🎉1
【第1现场|#西班牙高铁事故已21死#30重伤,轨道刚换】据新华社消息,西班牙南部科尔多瓦省18日晚发生高速列车脱轨相撞事故,已造成至少21人死亡,30人重伤。西班牙交通大臣奥斯卡·普恩特说,事故路段轨道更换不久,这起事故“极为蹊跷”。据新华社援引西班牙媒体报道,18日19时40分左右,一列由伊尔约公司运营、从南部城市马拉加开往首都马德里的高速列车在途经科尔多瓦省阿达穆斯镇附近时,最后三节车厢脱轨进入相邻轨道,与另一列相向行驶的高速列车相撞,导致后者脱轨。被撞列车由西班牙国家铁路公司运营,从马德里开往西南部韦尔瓦省。两趟列车上共有484名乘客。
没想到西游记里的风婆婆,原来这么漂亮啊,当年只顾看猴子了😹😹😹
花一样年纪刚刚才开始16岁,自己在网上买农药自尽,知情人透露因为晚上打游戏,被人游戏里人说让她去死,结果真的死了!
Showing the 5 most recent of 5 posts we hold for @sucaiya8861. 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.
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 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“素材吖” (@sucaiya8861), 583 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/sucaiya8861.
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.