Channel
@jnhchigua
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13subscribers
+0 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002758423386 |
|---|---|
| Type | Channel |
| Username | @jnhchigua |
| Description | 前线吃瓜 吃最新的瓜 |
| Created | Between 1 June 2025 and 2 August 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/jnhchigua |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 02:46 | 13 | no change |
| 11 Aug 2026, 17:31 | 13 | first reading |
11 posts held, back to 2 August 2025 — 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 pageof 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 11 posts for this entry, the most recent from 8 August 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 10 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.
2 reactions across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 1 of the 11 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 2 August 2025 to 8 August 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.
中国 留学生 在 日本 #嫖娼 女高中 生遭 逮捕，本人表示「是为了学日语」 #翻车 #被抓 一名中国男留学生因涉嫌在东京歌舞伎町一家酒店向一名女高中生提供现金并与她发生猥亵行为而被捕。 因涉嫌儿童卖淫而被捕的中国留学生嫌疑人徐可汗（28岁）被指控于今年4月在新宿区歌舞伎町一家酒店向一名16岁的女高中二年级学生提供1.5万日元（约 732 元人民币）现金，明知该学生未满18岁，并与其发生猥亵行为。 据东京警视厅称，徐可汗在社交媒体上认识了这名女学生，并至少见过她10次。在讯问中，他承认了这些指控，并表示：“我这样做是为了帮助我学习日语。” 徐还表示，“我的爱好是观察人们，有时我会每周五天去东横购物区”，这让警视厅相信徐经常在寻找女性，目前正在调查他是否还犯有其他罪行。
车震也不关好门
8月1日 上海杨浦区，疑似未成年被5人在地下车库殴打、锁喉、猛踹，打人者还拍摄视频上传网络。
有多大能力使多大劲 感觉挺疼的～
#直播 #连麦 和主播 互动 一哈
🍾🍾🍾 开喷 高手
春光乍泄 👀 散散味
凯迪拉克车友会玩😁
夜晚拜访 爱情小巷 #鸡
#夜店 海鲜味 ～ 贴脸开大 散散味
❤2
朋友圈 曝光 母狗 （真假自辩）
Showing the 11 most recent of 11 posts we hold for @jnhchigua. 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.
Citation-graph rank — 775,205 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 2 registered channels — 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“前线吃瓜” (@jnhchigua), 13 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/jnhchigua.
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.