Channel
@utube_hot
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
2,060subscribers
-17 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001338943791 |
|---|---|
| Type | Channel |
| Username | @utube_hot |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/utube_hot |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @WeChat_Feeds/2840432 Dec 2024, 04:56 UTC | @utube_hot/239461 · this entry2 Dec 2024, 04:56 UTC | 1.00 | under a minute |
| @WeChat_Feeds/2840532 Dec 2024, 05:00 UTC | @utube_hot/239471 · this entry2 Dec 2024, 05:00 UTC | 1.00 | under a minute |
| @WeChat_Feeds/2840572 Dec 2024, 05:00 UTC | @utube_hot/239475 · this entry2 Dec 2024, 05:00 UTC | 1.00 | under a minute |
| @utube_hot/239476 · this entry2 Dec 2024, 06:59 UTC | @WeChat_Feeds/2840582 Dec 2024, 06:59 UTC | 1.00 | under a minute |
| @utube_hot/239477 · this entry2 Dec 2024, 07:01 UTC | @WeChat_Feeds/2840592 Dec 2024, 07:01 UTC | 1.00 | under a minute |
| @WeChat_Feeds/2840614 Apr 2025, 00:49 UTC | @utube_hot/239480 · this entry4 Apr 2025, 00:49 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @WeChat_Feeds | 8 (6/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (6–2) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 9 comparable posts for this entry, running 2 December 2024 to 4 April 2025. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 2, the earliest publisher we hold is @WeChat_Feeds. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 12:57 | 2,060 | -11 |
| 11 Aug 2026, 04:18 | 2,071 | -6 |
| 7 Aug 2026, 20:57 | 2,077 | no change |
| 6 Aug 2026, 22:45 | 2,077 | first reading |
9 posts held, back to 2 December 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof 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 9 posts for this entry, the most recent from 4 April 2025. 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.
42 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 73.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 73.8% | |
| 👍 | 8 | 19.0% | |
| 😁 | 3 | 7.14% |
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 9 of the 9 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 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 2 December 2024 to 4 April 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
生命时报的微博 The monitoring task had failed 100 consecutive times. Your subscription to the RSS feed has been deactivated. To reactivate it, please use the /activate_subs command. ERROR: Network error (TimeoutError)
❤2
人民日报的微博 The monitoring task had failed 100 consecutive times. Your subscription to the RSS feed has been deactivated. To reactivate it, please use the /activate_subs command. ERROR: HTTP status code error (503 Service Unavailable)
❤8👍1😁1
【#心理干预有助提高辅助生殖成功率#】近年来的一些研究表明，心理因素也是影响辅助生殖结局的重要因素，负面心理状态会对辅助生殖治疗产生负面影响。那么，接受辅助生殖治疗人群产生负面心理因素的原因是什么呢？ 心理干预有助提高辅助生殖成功率 via 生命时报的微博
❤4👍1
【#为什么说冬天外出要戴帽子# 】#头部是身体保暖的关键位置# 头部是人体散发热量最大的部位之一。冬季外出戴帽子，就像给身体加上一个盖子，减少热量散发。当气温低于15摄氏度时，人体有1/3的热量从头部散发出去；气温低于10摄氏度时，人体有1/2的热量从头部散发出去；当气温低于4摄氏度时，人体3/4的热量从头部散发出去。帽子的功能主要是维持身体热平衡，外出戴上它就不会因头部过多地散热而引起全身的热量变化。 建议首选毛类材质和毛皮材质的帽子，这类材质柔软、保暖，而且透气性较好；尽量避免选择人造革或合成革类材质的帽子，虽然挡风性好，但透气性较差。毛线帽、棉布帽等每周清洗一次，皮革材质等不好清洗的帽子，可以用干净的毛巾蘸取温水擦拭。 via 生命时报的微博
👍4❤2😁2
【#饭量减25%就有助延寿# 】#七分饱到底是什么样的感觉# 多项国际权威研究显示，任何年龄少吃都能延寿；适当减少饭量，可将健康成人的衰老速度减缓2%~3%，死亡风险降低10%~15%。少吃延寿，那么少吃多少才是合理的？#研究证明有饥饿感会启动长寿基因#饭量减25%真的能延寿！连大脑老化也变慢了 via 生命时报的微博
❤3👍1
【不容易！#这个哨所每年8级风超200天#】又是一年退伍时，新疆军区铁列克提边防连退役官兵最后一次踏上巡逻路。铁列克提边防连位于中哈边境，每年8级以上大风超过200多天，风力最高可达12级，被誉为“风口哨所”。#原声感受风口哨所的风有多大#↓↓ 祝福，未来一切都好！央视军事的微博视频 via 人民日报的微博
❤6
【祝贺！#中俄东线天然气管道今天全线贯通#】今天，我国单管输气量最大的天然气管道——中俄东线天然气管道全线贯通，年输气能力增至380亿立方米，达最高水平。中俄东线是我国四大能源战略通道中东北通道的重要组成部分，北起黑龙江黑河，南至上海，途经9个省份，全长5111公里。（人民日报记者丁怡婷） via 人民日报的微博
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【#开车前一个小动作或挽救一条小生命#❤】天气越来越冷，一些流浪的小动物们开始寻找温暖的住所。曾有小动物在车底取暖惨遭碾死，开车的小伙伴们可以注意下，为了您和它们的安全，试试这么做：开车前，拍拍引擎盖，按下喇叭，前后检查下以确保没有熟睡或逗留的小动物。 via 人民日报的微博
❤4👍1
【#第一个发布的年度关键词是抽象#】今天，小红书2024年度关键词发布。2024年，小红书APP“抽象”相关笔记超1000万条，“搞抽象”的评论数量超1.6亿条。即将过去的这一年，你“搞抽象”了吗？#2024你搞抽象了吗# via 人民日报的微博
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Showing the 9 most recent of 9 posts we hold for @utube_hot. 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“YouTube热门频道” (@utube_hot), 2,060 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/utube_hot.
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.