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Channel

东南亚热点话题🐲

@dcfff888

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Handles named that no longer answer · Cite this entry

83,393subscribers

+15,348 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-1002273074860
TypeChannel
Usernames@dcfff888 @dongnydc
DescriptionHello @Telegram My channel has not violated the rules and policy of using Telegram. 🐲广告、投稿爆料、求助删帖 狗群主@dogdc 新闻专注海外华人资讯,求助,避免踩坑,真假自辩理性吃瓜,讨论群 @dcfff666 🐲专注社群运营DC广告联盟 @dogdc8 👉新闻 @dcaaa777 @dcbbb777 @dcccc777 @dcddd777 @dceee888 @dcfff888 @dcggg888
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live22 October 2026
Measurements held88
Confirmed unchanged1 time, most recently 22 October 2026
On Telegramt.me/dcfff888

Topic

Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 79% 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.

Growth

63,199105,07084,134.583,3937 August 202622 October 2026
88 measurements spanning 75 days, net +15,348. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 56,918–111,351 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 88
Measured (UTC)SubscribersChange
22 Oct 2026, 05:3083,393-3
22 Oct 2026, 03:3883,396-124
20 Oct 2026, 22:1783,520no change
20 Oct 2026, 21:5883,520-86
19 Oct 2026, 21:5083,606-10
19 Oct 2026, 20:4583,616-62
18 Oct 2026, 23:4983,678-16
18 Oct 2026, 18:4983,694-51
18 Oct 2026, 02:1883,745-25
17 Oct 2026, 15:3083,770-38
17 Oct 2026, 02:2883,808-42
16 Oct 2026, 13:5983,850-75
15 Oct 2026, 23:1183,925-21
15 Oct 2026, 16:4883,946-132
14 Oct 2026, 22:0684,078-22
14 Oct 2026, 16:4684,100-315
13 Oct 2026, 16:0784,415-37
13 Oct 2026, 07:2984,452-297
9 Oct 2026, 16:5884,749-45
8 Oct 2026, 23:1784,794first reading

Engagement

1,832 posts held, back to 7 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 156 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.08%
avg views ÷ 83,393 subscribers
Avg views / post
4,240
684 posts measured
Reaction rate
1.61%
reactions ÷ views · ER floor
Posts in window
684
of 1,832 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 668 of 684 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 22 October 2026
Posts held1,832 (7 August 2026 – 22 October 2026)
Views total2,899,191
Reactions total45,727
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Oct 2026, 17:22 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.

What this channel posts

Photos
≈20,000
Videos
≈5,990
Links
≈14,700

Lifetime counters from Telegram’s own channel header, read 22 October 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.

Video runtime
3h 54m
Average length
33s

Measured directly from 431 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

66,495 reactions across 969 posts, in 8 distinct kinds. The most used accounts for 20.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉13,39820.1%
👍13,39020.1%
😁13,33720.1%
❤13,19119.8%
🔥13,17419.8%
👏20.003%
🤩20.003%
⚡10.002%

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 969 of the 1,000 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 66,495 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 11 September 2026 to 22 October 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.

Advertising

Ad load
3.20%
32 of 1,000 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
5,710
over 32 measured posts
Median views · rest
4,640
over 968 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 11 September 2026 to 22 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

22 Oct 2026, 17:20 UTC1 viewsread 22 October 2026
Photo

#吃瓜:单身的群友们,天大的福报来了! 新一代性爱机器人即将安排上,捏哪儿都会配合发出声音,主打一个情绪价值拉满、全程不顶嘴,简直就是为单身兄弟们量身定做的! 建议赶紧加大力度量产,争取早日实现“人手一个”! 以后下班回家,不用等消息,不用猜心思,更不用担心吵架冷战,直接抱着睡觉,主打一个省心又省事! 💥关注热点话题新闻 @dcfff888 一键订阅TG圈资源 ➡️讨论 @dcfff666 💻 投稿广告 @dogdc

22 Oct 2026, 17:00 UTC≈1,590 views80 reactionsread 22 October 2026
Video

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👍18🔥18❤16🎉16😁12

22 Oct 2026, 16:21 UTC≈11,400 views82 reactionsread 22 October 2026
Video

#网友投稿:兄弟们都说东南亚是男人的天堂,今天来到泰国红灯区,太带劲了,走不动道了,就是不知道带把不🤣 💥关注热点话题新闻 @dcfff888 一键订阅TG圈资源 ➡️讨论 @dcfff666 💻 投稿广告 @dogdc

🔥23🎉20❤16😁13👍10

22 Oct 2026, 16:00 UTC≈1,640 views79 reactionsread 22 October 2026
Video

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👍22😁18🔥16❤12🎉11

22 Oct 2026, 15:53 UTC7 views75 reactionsread 22 October 2026
Photo

柬埔寨驳斥泰国指控 抗议边境古迹遭擅入 #柬埔寨新闻 柬埔寨文化与艺术部10月22日发表声明,坚决否认泰国军方关于柬埔寨将古寺用于军事目的的反复指控, 称其歪曲事实、误导公众,意在转移对泰方破坏柬埔寨文化遗产的关注。声明强调,古寺及考古遗址是宗教、保护、研究和旅游场所,绝非军事基地。柬方强烈抗议泰军未经许可进入塔莫安通寺、塔格罗贝寺、克纳寺等边境遗址,开展排雷、基建、电网及修复等活动,认为这侵犯柬埔寨主权与领土完整。 柬方还提及2025年7月和12月武装冲突中柏威夏寺等遗产受损,要求泰方停止单方面行动,通过JBC等双边机制和平解决边界问题,并归还从克纳寺运走的文物。 💥关注热点话题新闻 @dcfff888 一键订阅TG圈资源 ➡️讨论 @dcfff666 💻 投稿广告 @dogdc

😁19🎉17👍17❤12🔥10

22 Oct 2026, 15:12 UTC≈6,250 views59 reactionsread 22 October 2026
Photo

中国男逃出诈窝,曼谷抓14人 #泰国新闻 10月22日,泰国警方搜查曼谷赛迈区3处豪宅,逮捕14名涉嫌电诈及网络赌博的人员,包括10名中国人、3名泰国人和1名缅甸人。 警方称,线索来自逃脱的25岁中国男子刘某。他称受月薪8万泰铢诱惑赴泰,却被迫诈骗中国人,每班工作12小时,随后携证据求助。 现场查获200余件电子设备及现金。警方正核查关联账户、资金流向及各人的具体角色,涉案责任仍待调查。 💥关注热点话题新闻 @dcfff888 一键订阅TG圈资源 ➡️讨论 @dcfff666 💻 投稿广告 @dogdc

❤16🎉15🔥11👍10😁7

22 Oct 2026, 14:41 UTC≈4,370 views78 reactionsread 22 October 2026
Photo

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🎉20👍17🔥14😁14❤13

22 Oct 2026, 14:13 UTC11 views79 reactionsread 22 October 2026
Photo

在迪拜绑架杀人后,2名中国籍通缉犯在泰国被抓 #国际新闻 #盘总 泰国移民局局长诺帕西表示,警方于周二晚在曼谷逮捕了两名被国际刑警组织通缉的中国籍男子(30岁的陈某与28岁的杨某)。 二人涉嫌参与今年6月在迪拜发生的一起绑架案。当时7名绑匪从迪拜一栋豪华别墅劫走了1名土耳其商人、其中国籍女友及1名孟加拉籍司机。警方随后在迪拜东南部的沙漠中发现了3人被掩埋的遗体。目前,案件正在进一步处理中。 土耳其商人也是中国盘总吧~~ 💥关注热点话题新闻 @dcfff888 一键订阅TG圈资源 ➡️讨论 @dcfff666 💻 投稿广告 @dogdc

👍20🎉17😁16❤14🔥12

22 Oct 2026, 14:00 UTC≈5,550 views56 reactionsread 22 October 2026
Video

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🎉15🔥12👍11❤10😁8

22 Oct 2026, 13:41 UTC≈3,550 views61 reactionsread 22 October 2026
Photo

#菲律宾新闻:全国非法博彩及诈骗窝点持续遭清剿,509人被捕,绝大多数为中国籍 菲律宾针对非法离岸博彩(POGO)及网络诈骗窝点的打击行动持续推进。10月21日,菲律宾媒体 ABS-CBN News 报道称,前总统反有组织犯罪委员会(PAOCC)发言人温斯顿·卡西奥表示,近期相关执法行动累计已有509人被捕,其中绝大多数为中国籍人员。 据报道,509人是多起执法行动的累计数据,并非警方在同一地点一次性抓获的人员总数。 相关行动涉及菲律宾多个地区,执法部门持续调查涉嫌非法博彩运营及网络诈骗活动的场所。 两起重点行动 一、三宝颜锡布盖省|244名外国人被查 10月2日,菲律宾移民局联合国家调查局(NBI)及菲律宾武装部队,在三宝颜锡布盖省的西亚伊镇(Siay)和阿利西亚镇(Alicia)开展行动,共查获244名外国人,其中大多数为中国籍。 执法人员在现场查获大量电子设备,包括电脑显示器、约3000部手机、笔记本电脑及手机SI…

🔥19❤14🎉12👍8😁8

22 Oct 2026, 13:32 UTC1 views76 reactionsread 22 October 2026
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😁20❤17👍17🎉14🔥8

22 Oct 2026, 05:07 UTC≈3,140 views55 reactionsread 22 October 2026
Photo

Photo, posted without a caption

😁15❤14👍10🎉9🔥7

Showing the 12 most recent of 1,832 posts we hold for @dcfff888. 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.

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

Named by 22 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.

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.

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 22 October 2026 — this entry's latest reading, not the date you are reading this.

“东南亚热点话题🐲” (@dcfff888), 83,393 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/dcfff888.

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.