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Channel
@Jacksonlaw852
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry
71,246subscribers
+5,257 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002433296830 |
|---|---|
| Type | Channel |
| Username | @Jacksonlaw852 |
| Description | 如果想同我吹水傾計,嫖賭飲蕩吹可以入另一個群一齊吹水 https://t.me/Jacksonlaw2 本群組只係一個分享日常生活的平台,群組由四海馬來西亞粉絲後援會負責管理,群內所有發言的內容並不代表羅祖勝本人立場,本群組並不接受任何違法活動,而提供有關博彩遊戲資訊僅限馬來地區用户,如你身處的司法管轄區(受限制地區)法律禁止線上博彩,切勿參與! 受限制地區包括:澳大利亞、比利時、古巴、賽普勒斯、德國、中國、香港、澳門、北韓、波蘭、葡萄牙。 # 提防詐騙!千萬別相信任何除群組管理員外的人 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/Jacksonlaw852 |
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 9 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 |
|---|---|---|
| 18 Sept 2026, 20:39 | 71,246 | -28 |
| 16 Sept 2026, 14:18 | 71,274 | +513 |
| 14 Sept 2026, 15:57 | 70,761 | +80 |
| 13 Sept 2026, 03:01 | 70,681 | +413 |
| 11 Sept 2026, 05:58 | 70,268 | +1,334 |
| 8 Sept 2026, 12:21 | 68,934 | +102 |
| 5 Sept 2026, 03:15 | 68,832 | +539 |
| 3 Sept 2026, 09:46 | 68,293 | +608 |
| 2 Sept 2026, 03:54 | 67,685 | +365 |
| 1 Sept 2026, 03:18 | 67,320 | -16 |
| 31 Aug 2026, 02:44 | 67,336 | +102 |
| 30 Aug 2026, 04:52 | 67,234 | +117 |
| 29 Aug 2026, 02:25 | 67,117 | -24 |
| 28 Aug 2026, 04:55 | 67,141 | -15 |
| 27 Aug 2026, 02:53 | 67,156 | -4 |
| 26 Aug 2026, 01:07 | 67,160 | +5 |
| 24 Aug 2026, 22:44 | 67,155 | +737 |
| 23 Aug 2026, 06:38 | 66,418 | +10 |
| 21 Aug 2026, 20:07 | 66,408 | +82 |
| 20 Aug 2026, 14:02 | 66,326 | first reading |
125 posts held, back to 31 July 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 91 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 71 of 75 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 September 2026 |
|---|---|
| Posts held | 125 (31 July 2026 – 20 September 2026) |
| Views total | 820,171 |
| Reactions total | 1,069 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Sept 2026, 13:50 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.
Lifetime counters from Telegram’s own channel header, read 20 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 54 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.
1,742 reactions across 116 posts, in 17 distinct kinds. The most used accounts for 59.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,042 | 59.8% | |
| 👍 | 381 | 21.9% | |
| 👎 | 144 | 8.27% | |
| 🔥 | 90 | 5.17% | |
| 🥰 | 38 | 2.18% | |
| 🤣 | 12 | 0.689% | |
| 🤮 | 9 | 0.517% | |
| 🤩 | 7 | 0.402% | |
| 🤬 | 4 | 0.23% | |
| 🤯 | 4 | 0.23% | |
| 👏 | 3 | 0.172% | |
| 😱 | 2 | 0.115% | |
| 🤪 | 2 | 0.115% | |
| 💯 | 1 | 0.057% | |
| 😍 | 1 | 0.057% | |
| 🙏 | 1 | 0.057% | |
| 🤝 | 1 | 0.057% |
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 121 of the 125 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 1,742 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 125 most recent posts we hold, published 31 July 2026 to 20 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Jacksonlaw852. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 125 most recent posts we hold for this entry, published 31 July 2026 to 20 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
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呢D未白手起家嘅兄弟囉 成撚鷯哥扮大哥嘅7頭 扮大哥仲黐我包廂 洗我錢 含7啦! 富二代 你老豆一日未死你都係隻狗 我話嘅係睇唔似我嘅富二代 總之你唔尊重我 我理咩富豪我都唔會睬你 因為真正嘅大哥 富豪全部都有教養
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第一次見我老婆大人😝😝😝
❤9🤯3
Video, posted without a caption
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終於見到我老婆大人了😝😝😝😝
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做男人! 一定要給女粉一個安全的保障
👍8❤1
同我搵佢出黎 教育佢! 最撚討厭D冇教養嘅叫女人雞! 扶手 坐檯 你唔撚識稱呼? 你滷味!鍵盤戰士! 出黎我就話你算個男人! 繼續打字嘅話你就同我收嗲! 我屌你滷味個臭撚化閪生人唔撚生腦!
❤9
Photo, posted without a caption
👍6❤4
永遠激勵我四海的一句話! 希望在明天! 我四海說到就要做到! 哪怕我目前做不到 也是時間問題 還有!做男人就要堂堂正正! 別他媽的富二代裝你媽的白手起家! 沒你爸 你算個雞拔毛! 不是是討厭富二代 ! 我只是討厭狗眼看人低的富二代! 全吉隆坡的ktv服務生 哪一個我不尊重? 因為我也是做司機開始的 為什麼我這麼多女人 缺沒有一個女人說我壞話? 因為哪怕分手了 只要她真的愛過我 我也會給她轉錢 就算我要找女人!也會問現女友可不可以! 可以!我才去!
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Showing the 12 most recent of 125 posts we hold for @Jacksonlaw852. 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.
@Jacksonlaw852 edited 4 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“D1CE.COM X 四海之內皆兄弟” (@Jacksonlaw852), 71,246 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Jacksonlaw852.
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.