兄弟,见字如面,立秋了,照顾好自己。 没钱了就去碰网贷 熬不住了就去赌一把翻身 饿了就去喝西北风 下楼记得走窗户 牙疼了记得就去嚼槟榔 感觉冷了就穿短袖 热了就穿棉袄 走路多看手机 我给你转了20000块放在抖音放心借了 你只要眨眨眼、摇摇头就行 对了,还给你买了辆路虎揽胜放在4S店了 去了给钱就能提走 一定要记住一点,千万不能干正事!
🤣1
Signed 富君【不借钱转账】

Channel
@j000q
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,398subscribers
-86 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003475106786 |
|---|---|
| Type | Channel |
| Usernames | @erbbb @j000q |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 September 2026 |
| Last confirmed live | 29 September 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 29 September 2026 |
| On Telegram | t.me/j000q |
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 17 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 |
|---|---|---|
| 29 Sept 2026, 23:35 | 1,398 | +21 |
| 25 Sept 2026, 03:58 | 1,377 | -12 |
| 19 Sept 2026, 16:59 | 1,389 | -24 |
| 17 Sept 2026, 06:20 | 1,413 | +22 |
| 15 Sept 2026, 06:21 | 1,391 | +12 |
| 12 Sept 2026, 20:58 | 1,379 | -5 |
| 11 Sept 2026, 12:22 | 1,384 | no change |
| 11 Sept 2026, 12:20 | 1,384 | +79 |
| 7 Sept 2026, 06:15 | 1,305 | +3 |
| 2 Sept 2026, 03:24 | 1,302 | +2 |
| 29 Aug 2026, 20:33 | 1,300 | -35 |
| 24 Aug 2026, 00:43 | 1,335 | -66 |
| 20 Aug 2026, 16:58 | 1,401 | +18 |
| 17 Aug 2026, 17:55 | 1,383 | -71 |
| 14 Aug 2026, 22:07 | 1,454 | +6 |
| 11 Aug 2026, 23:23 | 1,448 | -1 |
| 8 Aug 2026, 17:32 | 1,449 | -35 |
| 8 Aug 2026, 08:34 | 1,484 | first reading |
12 posts held, back to 30 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 1 page 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 3 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 September 2026 |
|---|---|
| Posts held | 12 (30 August 2026 – 10 September 2026) |
| Views total | 8,663 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Sept 2026, 12:22 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 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 3 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 2 | 50.0% | |
| ❤ | 1 | 25.0% | |
| 🤣 | 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 3 of the 12 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 12 most recent posts we hold, published 30 August 2026 to 10 September 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.
兄弟,见字如面,立秋了,照顾好自己。 没钱了就去碰网贷 熬不住了就去赌一把翻身 饿了就去喝西北风 下楼记得走窗户 牙疼了记得就去嚼槟榔 感觉冷了就穿短袖 热了就穿棉袄 走路多看手机 我给你转了20000块放在抖音放心借了 你只要眨眨眼、摇摇头就行 对了,还给你买了辆路虎揽胜放在4S店了 去了给钱就能提走 一定要记住一点,千万不能干正事!
🤣1
Signed 富君【不借钱转账】
👉👉👉👉👉 👉👉👉👉 😀😀😀储备1️⃣亿 😀 支持验资! 👉钱包充值自动出入款 👉👉👉 一个飞机ID 即可在所有游戏自由下注 🌐官方网址: HBYL.VIP 👉唯一官方小程序:@HBBCYL_BOT 👉唯一官方总群:@HBYL
Signed 富君【不借钱转账】
有点饿 简单吃点
👏2
Signed 富君【不借钱转账】
戒赌中心 pinned a photo
这个死妈完美娱乐 自己被代码骗了来说我 我真是超你妈了 @xj666777
Signed 富君【不借钱转账】
你们有广告商的 可以拉过来 https://t.me/erbbb/424573 这颗按钮就188u 广告费在梦想驿站发红包
Signed 富君【不借钱转账】
https://www.ppreplaylink.net/7quQLzvBtw 实在是可惜
Signed 富君【不借钱转账】
谁还没有加入梦想驿站?
Signed 富君【不借钱转账】
周末愉快 🧧 富君【不借钱转账】 发送了一个红包 💵 总金额: 888.0 CNY 💰剩余: 11/30 (👥 仅限群组成员领取 【梦想驿站】) 🥇 56.88 (14:24:12) 💰 - 碎碎念 🥈 55.42 (15:14:56) 💰 - 李金 🥉 52.63 (14:23:04) 💰 - 小辞 🧧 51.15 (14:32:32) 💰 - 豆豆 🧧 48.32 (14:23:57) 💰 - 小明 🧧 45.37 (15:12:34) 💰 - sy 🧧 39.3 (14:23:44) 💰 - 小人物 一个 🧧 33.48 (14:23:34) 💰 - 富君【不借钱转账】 🧧 32.21 (14:23:03) 💰 - 小马老弟 🧧 30.78 (14:23:27) 💰 - 刘亦菲
Signed 富君【不借钱转账】
命运已做出了他的选择 即使敌众我寡 末将亦能万军从中 取敌将首级
Signed 富君【不借钱转账】
他妈的,上次饿肚子的时候,有个人给我打了8u吃饭,我好起来直接十倍还回去,现在又饿肚子了,找不到人了
❤1
Signed 富君【不借钱转账】
星光不负有心人
Signed 富君【不借钱转账】
Showing the 12 most recent of 12 posts we hold for @j000q. 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.
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.
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.
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 29 September 2026 — this entry's latest reading, not the date you are reading this.
“戒赌中心” (@j000q), 1,398 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/j000q.
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.