Channel
@ac100
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
48,091subscribers
-3,397 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001088087548 |
|---|---|
| Type | Channel |
| Usernames | @ac100 @dongnanya0030 |
| Created | Between 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 25 August 2026 |
| On Telegram | t.me/ac100 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 16:18 | 48,091 | no change |
| 25 Aug 2026, 12:33 | 48,091 | -97 |
| 24 Aug 2026, 16:18 | 48,188 | -12 |
| 24 Aug 2026, 11:17 | 48,200 | -123 |
| 23 Aug 2026, 03:08 | 48,323 | -14 |
| 22 Aug 2026, 18:43 | 48,337 | -76 |
| 21 Aug 2026, 19:03 | 48,413 | -71 |
| 21 Aug 2026, 12:19 | 48,484 | -62 |
| 20 Aug 2026, 15:37 | 48,546 | no change |
| 20 Aug 2026, 11:07 | 48,546 | -48 |
| 19 Aug 2026, 17:42 | 48,594 | -10 |
| 19 Aug 2026, 12:46 | 48,604 | -202 |
| 18 Aug 2026, 14:44 | 48,806 | -24 |
| 18 Aug 2026, 12:22 | 48,830 | -176 |
| 17 Aug 2026, 18:13 | 49,006 | -33 |
| 17 Aug 2026, 11:27 | 49,039 | -75 |
| 16 Aug 2026, 16:39 | 49,114 | -46 |
| 15 Aug 2026, 19:55 | 49,160 | -23 |
| 14 Aug 2026, 23:46 | 49,183 | -87 |
| 14 Aug 2026, 11:24 | 49,270 | first reading |
285 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 40 pagesof 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 1 of 285 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 August 2026 |
|---|---|
| Posts held | 285 (7 August 2026 – 25 August 2026) |
| Views total | 7,923 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Aug 2026, 14:55 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 243 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.
#群友投稿：作为传统的福建人，以前总想着落叶归根。随着阅历增长，不回家的念头越发强烈。 也许应该也是一路走到黑，在外面每天小酒喝喝，一天换一个女人，这种生活哪里戒得掉？要不还是考虑一下，在东南亚落地归根吧！ 其实今天也没什么值得举杯庆祝的事，只是不喝酒、不玩个女人的话，这世界好像少了几分色彩。匆忙的一切，都失去了活性。 见到花花的时候，我一看，这不就是个土嫩妹嘛。18岁，红楼说是昨天刚到的，不懂是被哪个男朋友给哄出来赚钱凑嫁妆的。 穿着日不龙怂又没质感的衣服，人还是副学生妹儿的样，但打扮的又有些小成熟。我不晓得该用啥子风格去描述她。酒量也不好，但是我就喜欢这种酒量不好的，兄弟应该都懂。 看着她红突突的小脸，抱着把口红吃完，小拳拳一边捶我胸口，一边又去补了个口红。看见在镜子面前像模像样补口红的样子，确实想像禽兽一样立马把她按着，但作为一个喜欢拉良家妇女下水、喜欢劝妓女从良的素质嫖客，还是要注意清洁卫生。 清洁完，抱着花…
羡慕有钱人 🍋 小忙一会
这三个人啥关系？ 美女和两个南亚阿三，巴基斯坦或者孟加拉那边的！这长腿特效也是夸张
俺们菏泽网红也真是的，你开直播了就不能说点普通话嘛
泰国演员林祎凯，祖籍广东人，换成女人可以这样表演给男人看吗 #娘炮
考辛斯中国行，礼炮声以为枪声，随行的小黑吓坏了
小仙女带宠物猫乘坐公交被拒，还说哪条法律不让上！
真男人都开 比亚迪 ！
咖喱味的baby！ 印度小伙在加拿大激情演唱比伯的baby，完美演绎了假如比伯生在surrey会是怎样的情景
它们好可爱啊，跟小学生一样。 人行机器人 小朋友
又来？ 继《牛来》母子俩联手制作电影后，又来了个单人制作的《目不转睛》，定档9月17日。
我就天天听这些pua话
Showing the 12 most recent of 285 posts we hold for @ac100. 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 — 1,184,502 of 1,602,868entries 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 1 registered channel — 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 25 August 2026 — this entry's latest reading, not the date you are reading this.
“️东南亚吃瓜日记@ac100🍭” (@ac100), 48,091 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/ac100.
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.