美国新墨西哥州发生一起令人震惊的枪击命案。一名母亲此前就曾向邻居发出警告,称自己年仅 10 岁的儿子会开枪伤人。 事发源于邻里间的噪音纠纷,这名男孩持枪射杀了一名青少年。案件曝光后引发广泛讨论,当地警方已介入调查。 由于嫌疑人年龄极低,该案的后续处置、枪支来源以及监护责任等问题备受关注,也再次激起外界对美国未成年人涉枪、枪支管控以及家庭教育监管的争议。 #美国新闻
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Channel
@jiuboo
On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
13,944subscribers
-20,862 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001723300640 |
|---|---|
| Type | Channel |
| Username | @jiuboo |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/jiuboo |
Gambling & betting — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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 the other topics.
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 in near-verbatim form on 5 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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 |
|---|---|---|---|
| @jiuboo/85039 · this entry31 Aug 2026, 12:18 UTC | @chiguasheq/9840331 Aug 2026, 12:18 UTC | 1.00 | under a minute |
| @jiuboo/88681 · this entry3 Nov 2026, 14:27 UTC | @chiguasheq/1009923 Nov 2026, 14:27 UTC | 1.00 | under a minute |
| @jiuboo/88730 · this entry4 Nov 2026, 15:32 UTC | @chiguasheq/1010334 Nov 2026, 15:32 UTC | 1.00 | under a minute |
| @jiuboo/88767 · this entry5 Nov 2026, 11:57 UTC | @chiguasheq/1010645 Nov 2026, 11:57 UTC | 1.00 | under a minute |
| @jiuboo/88771 · this entry5 Nov 2026, 13:23 UTC | @chiguasheq/1010685 Nov 2026, 13:23 UTC | 1.00 | under a minute |
| @jiuboo/88811 · this entry6 Nov 2026, 10:42 UTC | @chiguasheq/1011026 Nov 2026, 10:42 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @chiguasheq | 191 (6/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (191–0) |
| @CG887 | 8 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @CG887 (5–3) |
| @freechinese | 7 (6/7 hand-verifiable sample passed) | 1.00 | 64 minutes | @freechinese (7–0) |
| @aichiguaba | 5 (5/5 hand-verifiable sample passed) | 1.00 | 2.7 hours | this entry (5–0) |
| @tuigsc | 5 (5/5 hand-verifiable sample passed) | 1.00 | 8.5 hours | this entry (5–0) |
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. 12 of the 12 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 540 comparable posts for this entry, running 10 August 2026 to 10 November 2026. 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.
Of the group of 2 channels, the one whose matching posts we hold earliest is @jiuboo — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 November 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 is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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 |
|---|---|---|
| 11 Nov 2026, 17:00 | 13,944 | -99 |
| 9 Nov 2026, 18:07 | 14,043 | -17 |
| 8 Nov 2026, 09:19 | 14,060 | -19 |
| 7 Nov 2026, 06:59 | 14,079 | -13 |
| 6 Nov 2026, 08:47 | 14,092 | -12 |
| 5 Nov 2026, 05:20 | 14,104 | -19 |
| 4 Nov 2026, 03:31 | 14,123 | -17 |
| 3 Nov 2026, 03:09 | 14,140 | -7 |
| 2 Nov 2026, 01:18 | 14,147 | -31 |
| 31 Oct 2026, 22:16 | 14,178 | -18 |
| 30 Oct 2026, 22:51 | 14,196 | -23 |
| 29 Oct 2026, 19:17 | 14,219 | -20 |
| 28 Oct 2026, 16:01 | 14,239 | -24 |
| 27 Oct 2026, 16:46 | 14,263 | -19 |
| 26 Oct 2026, 14:49 | 14,282 | -13 |
| 25 Oct 2026, 17:10 | 14,295 | -19 |
| 24 Oct 2026, 19:39 | 14,314 | -27 |
| 23 Oct 2026, 22:27 | 14,341 | -4,942 |
| 23 Oct 2026, 00:57 | 19,283 | -17 |
| 22 Oct 2026, 01:08 | 19,300 | first reading |
889 posts held, back to 10 August 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 62 pages of Telegram’s post history, 20 posts per page.
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 149 of 229 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 889 (10 August 2026 – 11 November 2026) |
| Views total | 710,110 |
| Reactions total | 1,921 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 07:31 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.
Measured directly from 379 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.
7,207 reactions across 552 posts, in 10 distinct kinds. The most used accounts for 12.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 864 | 12.0% | |
| 🥰 | 824 | 11.4% | |
| 🤩 | 820 | 11.4% | |
| ⚡ | 791 | 11.0% | |
| ❤ | 781 | 10.8% | |
| 🎉 | 780 | 10.8% | |
| 👏 | 780 | 10.8% | |
| 🔥 | 778 | 10.8% | |
| 👍 | 759 | 10.5% | |
| 🤮 | 30 | 0.416% |
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 552 of the 889 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 7,207 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 889 most recent posts we hold, published 10 August 2026 to 11 November 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.
Telegram’s own ‘edited’ marker: 0 of 229 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
美国新墨西哥州发生一起令人震惊的枪击命案。一名母亲此前就曾向邻居发出警告,称自己年仅 10 岁的儿子会开枪伤人。 事发源于邻里间的噪音纠纷,这名男孩持枪射杀了一名青少年。案件曝光后引发广泛讨论,当地警方已介入调查。 由于嫌疑人年龄极低,该案的后续处置、枪支来源以及监护责任等问题备受关注,也再次激起外界对美国未成年人涉枪、枪支管控以及家庭教育监管的争议。 #美国新闻
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共和党在中期选举遭遇重挫之后,特朗普在移民议题上出现明显转向。 他在受访时罕见承认此前大规模驱逐政策过于强硬,称部分长期在美务工、无其他犯罪记录的非法移民应当留下,并释放信号愿意和民主党谈判,寻求移民改革方案。选后西语裔选民大量倒戈被视作败选重要诱因。特朗普仍强调会持续打击有犯罪记录的非法移民、守住边境安全底线,但缓和了此前一刀切驱逐的论调。 党内对此分歧巨大,强硬派批评妥协,温和派则认为调整政策有助于挽回流失选票,这场转向也让国会移民博弈出现新变数。 #美国新闻
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美国几名外科医生午休就餐时听见枪声,得知有警员遇袭后立刻放下午餐赶往现场施救。 事发地一处居民区爆发枪击,一名警官中弹倒地,医生们携带简易急救用品抵达,就地为伤员止血、处理创口,稳住生命体征,直至救护车赶到。这名受伤警员随后被送入手术室接受进一步救治。警方迅速控制现场并追捕枪手。 医护人员临危出手救人的事迹传开后,被赞为英雄,不少网友称赞他们在危急时刻抛开个人安危,第一时间冲上前挽救一线执法者的生命。 #美国新闻
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Showing the 12 most recent of 889 posts we hold for @jiuboo. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@jiuboo named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 58 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜新闻大曝光” (@jiuboo), 13,944 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/jiuboo.
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.