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Channel
硬核🔥新闻&吃瓜🍉🔞
@chigua_007
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
57,421subscribers
-402 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002030401233 |
|---|---|
| Type | Channel |
| Username | @chigua_007 |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/chigua_007 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 15:13 | 57,421 | -19 |
| 29 Aug 2026, 16:45 | 57,440 | -2 |
| 28 Aug 2026, 19:36 | 57,442 | -15 |
| 27 Aug 2026, 18:18 | 57,457 | -13 |
| 26 Aug 2026, 17:54 | 57,470 | -34 |
| 25 Aug 2026, 14:33 | 57,504 | -16 |
| 24 Aug 2026, 18:04 | 57,520 | -29 |
| 23 Aug 2026, 02:46 | 57,549 | -11 |
| 21 Aug 2026, 16:03 | 57,560 | +5 |
| 20 Aug 2026, 16:46 | 57,555 | -22 |
| 19 Aug 2026, 15:07 | 57,577 | -11 |
| 18 Aug 2026, 17:14 | 57,588 | -27 |
| 17 Aug 2026, 15:06 | 57,615 | -26 |
| 16 Aug 2026, 07:54 | 57,641 | -26 |
| 14 Aug 2026, 19:27 | 57,667 | -19 |
| 13 Aug 2026, 13:18 | 57,686 | -17 |
| 12 Aug 2026, 16:14 | 57,703 | -19 |
| 11 Aug 2026, 13:58 | 57,722 | +3 |
| 10 Aug 2026, 17:33 | 57,719 | -17 |
| 9 Aug 2026, 17:41 | 57,736 | first reading |
Engagement
211 posts held, back to 6 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 50 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.88%
- avg views ÷ 57,421 subscribers
- Avg views / post
- 1,080
- 211 posts measured
- Reaction rate
- 0.204%
- reactions ÷ views · ER floor
- Posts in window
- 211
- of 211 held
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 123 of 211 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 211 (6 August 2026 – 30 August 2026) |
| Views total | 228,158 |
| Reactions total | 296 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 15:00 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.
What this channel posts
- Video runtime
- 1h 41m
- Average length
- 59s
Measured directly from 103 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.
Reaction mix
296 reactions across 111 posts, in 12 distinct kinds. The most used accounts for 35.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 105 | 35.5% | |
| 👍 | 60 | 20.3% | |
| 😁 | 46 | 15.5% | |
| 💩 | 38 | 12.8% | |
| 🤡 | 18 | 6.08% | |
| 🤣 | 11 | 3.72% | |
| 🙏 | 7 | 2.36% | |
| 👏 | 4 | 1.35% | |
| 🥰 | 4 | 1.35% | |
| 👎 | 1 | 0.338% | |
| 🔥 | 1 | 0.338% | |
| 😈 | 1 | 0.338% |
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 123 of the 211 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 296reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 211 most recent posts we hold, published 6 August 2026 to 30 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.
Recent posts
真是她说的这样吗? 一线天、蝴蝶型、鲍鱼型、馒头型、包子型…最好看的是一线天型…最耐艹的是鲍鱼型… 这直播视频尺度好大,你们自己看吧。😂
😁1
男人听了能少走20年弯路💅
#景甜在西班牙特内里费岛的旅游视频 #网友神评论 越看越有意思,她吃东西的时候明显看了对面的孙宇晨一眼,这眼神一看就不爱啊… 不爱还不是被孙割进入身体了吗 几千万进入一下身体可以的 不是,孙割说摸景甜奶子,我看了半天,景甜哪有奶子啊操
#星宇股份解约大批应届生事件梳理 8月29日,有网友梳理了事件的来龙去脉:数百名应届毕业生遭遇公司无理要求,他们没有选择劳动仲裁,而是直接向三个方向投诉:港交所、欧盟及欧洲车企、星宇的中国客户。最终,星宇只好道歉赔偿。
❤2
8月28日,网友曝光小米武汉食堂使用过期近一年的预制食材。 据知情网友透露,起初有员工反映在食堂吃到疑似淋巴肉,随后食堂工作人员拿出食材自证清白,却不料被网友发现该预制菜“高端牛杂”的生产日期标注为2024年11月18日,保质期12个月,已过期超9个月。
#AI短剧 #问苍生 #B站 #搜神记 ⠀ 🎬 一人、两套AI模型、26分钟,10天拿下1500万播放。 ⠀ 中国AI短片《我这一生最大的罪,是把人写成了妖……》最近在B站爆火,也被称为《问苍生》。 ⠀ 作品8月17日上线,截至26日,仅B站播放量就突破1500万。不少观众直接称它是“AI短剧天花板”。 ⠀ 片中的“寺壁黄人”等妖异故事,参考了东晋《搜神记》记载的汉代灾异,又揉进东汉末年黄巾起义的历史背景。 ⠀ 不过,片子借妖写人,击中了很多普通人的情绪。评论区已经有人说:且看且珍惜,可能很快就没了。
#尼泊尔 #泥石流 #跨境灾害 #冰湖 ⠀ 🇨🇳🇳🇵 被质疑未预警泥石流后,中国驻尼泊尔大使馆回应了。 ⠀ 使馆称,喜马拉雅山区风险点分散,许多冰湖和冰岩体位于海拔4000米以上;陡坡影像误差和复杂地形监测,至今仍是难题。 ⠀ 中方还提到,2015年尼泊尔大地震扰动了喜马拉雅山南坡岩体,增加了山体风险的不确定性。 ⠀ 使馆表示,中国一直在向尼泊尔共享水文气象和堰塞湖监测数据。8月26日,中尼气象部门举行紧急视频会议,评估灾情并同步交换数据。 ⠀ 中方还称,双方正在推进跨境灾害信息共享机制,并通过“妈祖”预警系统,为尼泊尔提供定制化气象服务。
#张又侠 #刘振立 #中央军委 #解放军 ⠀ 🇨🇳❌ 中国两名上将被正式免去中央军委职务。 ⠀ 全国人大常委会8月28日决定,免去张又侠国家中央军委副主席职务,免去刘振立国家中央军委委员职务。 ⠀ 张又侠、刘振立,以及钟绍军、巨干生等人,也已失去全国人大代表资格。 ⠀ 两人今年1月因涉嫌“严重违纪违法”被立案调查。官方未公开具体案情;至于“结党”和向美国提供核武器信息等说法,属于部分媒体的报道,并未获公开独立证实。 ⠀ 张又侠曾是中央军委第一副主席,刘振立曾任军委联合参谋部参谋长。两人都参加过上世纪中越边境冲突,也是少数有实战经历的解放军高层将领。 ⠀ 张又侠被免职后,原本7人的国家中央军委,公开成员只剩习近平和张升民两人。
#黑龙江 #铁路 #粮食运输 #三江平原 ⠀ 🇨🇳🚆 黑龙江友谊—宝清铁路正在换轨,今天完工。 ⠀ 这条铁路连接友谊县和宝清县,1998年起投入运营,是三江平原粮食外运的重要通道。 ⠀ 线路主要运输当地生产的粮食和其他农产品。换轨完成后,铁路的运力和运输稳定性都会提升。 ⠀ 黑龙江正在扩大粮食生产和外运能力,这条线就是其中一环。
❤1
#中国 #月球 #激光通信 #载人登月 ⠀ 🇨🇳🌕 中国完成地月双向激光通信测试。 ⠀ 中科院称,科研人员成功在地球与月球之间完成高速激光通信测试,传输距离超过 40万公里。 ⠀ 系统上行传输速率达到 1.25 Mbps,下行达到 100 Mbps;其中用到了高精度跟踪、大气校正和单光子探测等技术。 ⠀ 研究人员表示,相比传统微波通信,激光通信具备更高速度、更大带宽和更强保密性。 ⠀ 这项技术未来可用于载人登月和月球科研站建设,传回大量图像与科学数据。
#中国 #罗布泊 #J36 #H20 ⠀ 🇨🇳✈️ 中国正在扩建新疆罗布泊的军事设施,这里主要用于测试先进和实验性飞行器。 ⠀ 该基地此前曾与中国的第六代战机 J-36、J-XDS 联系在一起。如今,基地里又出现了更大的机库,可能是为大型飞机准备的。 ⠀ 据 The War Zone 报道,这些新设施未来或许能支持 H-20 隐身轰炸机等项目,但目前没有证据表明 H-20 已在这里测试。 ⠀ 罗布泊看起来正逐渐变成中国下一代军用航空航天项目的重要试验中心。
Showing the 12 most recent of 211 posts we hold for @chigua_007. 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.
Posts edited after publishing
@chigua_007 edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 19 August 2026
- Most recent edit
- 27 August 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Mentions
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.
Channels Telegram recommends alongside this 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.
@cgbg8 · 108,844#1
@qiqubaike11 · 2,628#2
@DBHR8 · 19,214#3
@lightrekt · 49,729#4
@renrenchigua · 68,229#5
@JNAF8888 · 7,976#6
@achiguao · 82,055#7
@onlychigua · 199,359#8
@TDKNEWS · 3,174#9
@lsd62 · 25,604#10
@juexinggonglue · 16,440#11
@chiguaou · 20,312#12
@bf_gy · 23,552#13
@miandiandaren123 · 10,164#14
@NFSCHimalayaNews · 9,611#15
Read from Telegram’s recommendation API, most recently 25 August 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.
Appears in Telegram’s recommendations for other channels
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.
@lightrekt · 49,729
Telegram ranks this channel #8 of 35 here — alongside 34 others — read 25 August 2026
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.
Cite this entry
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“硬核🔥新闻&吃瓜🍉🔞” (@chigua_007), 57,421 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/chigua_007.
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.