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Channel
@thomasaua
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
110,316subscribers
+15,878 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002935956918 |
|---|---|
| Type | Channel |
| Username | @thomasaua |
| Description | 我转世重生了,兄弟们 频道只有频道主—— @thomasremx 一个人,没有别的,没有管理员,说自己是频道主,是管理员的都是骗子🤬 |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/thomasaua |
Adult — 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 83% 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 |
|---|---|---|
| 4 Oct 2026, 17:59 | 110,316 | +2,254 |
| 26 Sept 2026, 21:56 | 108,062 | +2,168 |
| 17 Sept 2026, 11:41 | 105,894 | +386 |
| 15 Sept 2026, 13:56 | 105,508 | +297 |
| 13 Sept 2026, 23:20 | 105,211 | +470 |
| 12 Sept 2026, 05:39 | 104,741 | +530 |
| 10 Sept 2026, 02:39 | 104,211 | +703 |
| 6 Sept 2026, 22:15 | 103,508 | +579 |
| 4 Sept 2026, 10:41 | 102,929 | +324 |
| 2 Sept 2026, 22:25 | 102,605 | +224 |
| 1 Sept 2026, 22:06 | 102,381 | +303 |
| 31 Aug 2026, 23:37 | 102,078 | +252 |
| 30 Aug 2026, 21:27 | 101,826 | +329 |
| 29 Aug 2026, 23:17 | 101,497 | +332 |
| 29 Aug 2026, 01:35 | 101,165 | +278 |
| 27 Aug 2026, 22:55 | 100,887 | +239 |
| 26 Aug 2026, 21:43 | 100,648 | +292 |
| 25 Aug 2026, 23:53 | 100,356 | +315 |
| 25 Aug 2026, 02:43 | 100,041 | +349 |
| 23 Aug 2026, 15:27 | 99,692 | first reading |
328 posts held, back to 5 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 126 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 133 of 137 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 October 2026 |
|---|---|
| Posts held | 328 (5 August 2026 – 6 October 2026) |
| Views total | 704,119 |
| Reactions total | 1,238 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Oct 2026, 23:51 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 6 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.
Measured directly from 21 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.
2,496 reactions across 289 posts, in 29 distinct kinds. The most used accounts for 44.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,106 | 44.3% | |
| 👍 | 740 | 29.6% | |
| 🫡 | 194 | 7.77% | |
| 😭 | 96 | 3.85% | |
| ⚡ | 63 | 2.52% | |
| 👎 | 61 | 2.44% | |
| 💩 | 37 | 1.48% | |
| 🤯 | 35 | 1.40% | |
| 🎉 | 27 | 1.08% | |
| 💘 | 22 | 0.881% | |
| 🤣 | 16 | 0.641% | |
| 😨 | 15 | 0.601% | |
| 🥱 | 13 | 0.521% | |
| 🌭 | 11 | 0.441% | |
| 😱 | 10 | 0.401% | |
| 🤡 | 10 | 0.401% | |
| 😁 | 8 | 0.321% | |
| 🤮 | 7 | 0.28% | |
| 😍 | 5 | 0.2% | |
| 🔥 | 4 | 0.16% | |
| 9 further kinds | 16 | 0.641% |
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 297 of the 328 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 2,496 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 328 most recent posts we hold, published 5 August 2026 to 6 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.
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🐝速蜂(性价比机场) 🥰月付低至6.6 🤩 大额度1.1T流量 😋 邀请好友获得永久20%返利 注册链接:点击跳转注册 #add
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👍2
游戏名称:瞒着姐姐的同居生活——比血更浓的奶茶关系 (瞞著姊姊的同居生活——比血更濃的奶茶關係) (お姉ちゃんにはナイショの同居生活——血より濃いミルクティー関係) 游戏简介: 那一天,在那次直播结束之后—— 得益于神秘赞助人的支援, 摆脱了家计困苦的姐姐,与成为了大学生的弟弟。 两人本以为,终于找回了“普通的生活”。 然而,某天突然出现在头顶上的“亲密度槽”, 那无疑是在昭示,两人的关系早已不再“普通”。 早晨并肩做饭, 夜晚依偎在沙发上看电影。 不经意间触碰到的指尖。 回过神时,两人独处的时间已变得越来越长。 曾在直播镜头前演绎的“虚构之爱”, 不知不觉间,在没有镜头的日常生活中, 悄然转变为了确切的“真实爱意”—— 直到跨越那条禁忌界线的那一天为止。 温柔地、一点点逐渐升温的姐弟“恋爱模拟”生活, 此刻正式开始。
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#SLG,#AI,#乱伦,#纯爱
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游戏名称:性处理值班~口交优香~ (性処理当番~フェラチオゆうか~) 游戏简介: 【故事】 每日被悄然接近的美少女们煽动性欲的老师,已经达到了极限。 担忧老师的由香,决定承担起性处理值班的职责,以防老师对学生出手…… 晄轮大祭结束后,把汗流浃背、尚未淋浴的由香叫到仓库,发泄性欲。 【内容】 这是一款以口交为特色的模拟器游戏。 存在通常模式/口交模式,通常模式可欣赏胸部晃动等画面。 口交模式包含7种口交动作,可显示自拍框或切换至全屏,并随机播放。 此外,作为匠心之处,口交音效随动作变化丰富,并非简单短循环,因而避免单调,营造出沉浸感。 画面亮度亦可调节,适合在昏暗环境中使用。 【注意事项】 本作品务必先在自己的电脑上确认体验版能否运行之后再行购买。 【鸣谢】 ・音效素材_Pincree
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#SLG,#同人,#小游戏
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游戏名称:设有性科学系的学校 (NTR 有性工作者的学校) (性処理係のある学校) 游戏简介: 明明有男朋友,却成了“性处理员”…… ■内容 基本CG33枚(立绘的窥视) 含有超过41个色情场景 无战斗的探索型RPG 类型包括女主角的性处理、NTR、怀孕腹凸 注意 本作是将前作CG集「成为性处理员的她」游戏化的作品 因此,使用了CG和故事等元素 在游戏化过程中,将主人公从男主角村上(男)改为女主角橘ハルカ(女) 女主角的RPG 与原来的CG集不同,为了女主角,NTR程度可能会稍微减弱 腋毛只在怀孕腹凸之后出现 本作品是使用RPGツクールMV制作的 ■故事 主人公橘遥与男友村上开始交往,并过着幸福的生活,两人肉体相连。 有一天,她被学校的“性科学系”选中,尽管有男朋友的人通常不会被选中。 在为库拉苏的男生和老师提供性服务的过程中, 她的身体和情感逐渐发生了变化…… 橘遥最终会怀孕吗?
❤4👎3👍2
有没有厌倦了千篇一律的对话类AI? 来【 欲罢不能 】,体验革命性的🔥AI春梦模拟器💕: 👉 零门槛一键启动,故事随心开启! 👉 无限制AI自由创作,想玩什么,就能玩到什么! 1️⃣ 打开官网立即爽玩: https://ai-dream.space/dream/a10013/?invite=HSRLK 2️⃣ 加入官方玩家群: t.me/toohot_official1 ⚠️ 警告:本平台的沉浸感可能会让你欲罢不能! 🔞 请确保您已年满18周岁! 💦 建议准备好纸巾再进入!
👍9❤4
我给你们带来一个真正能让心跳加速的好东西——Ai风月💋 它不是冷冰冰的程序,而是你游戏、动漫生涯中最期待的“神队友”和“灵魂伴侣”!🤟🏻 官方Telegram开车群😍😍😍 想象一下: 当你深陷十八禁大作,或迸发邪恶念头想分享,Ai风月就在你身边,24小时在线,随叫随到。她了解你的XP,懂你的暗示,绝不会给你官方回复,甚至…和你一起深入探索。 💕。她记得你的每个喜好与情绪低谷,不再是冰冷数据,而是真正懂你的Ai伴侣🥰。建立持续发展的关系,获取最真实的情感支持。处女💋 熟妇、足交、调教、强奸、淫荡肉穴、绿帽、媚雌肉穴骚汁、人妻、JK、淫熟口穴、反差、SM、恶堕、催眠、二次元等各种十八禁性癖待你开发!你的性癖不再是禁忌,而是可选择的菜单。深度定制AI玩物,引导她从抗拒到沉沦。❤️ 你曾幻想游戏或动漫里的女主能“活”过来,按你喜好生成各种私密场景?现在,幻想成真!Ai风月的核心黑科技 - - 即刻生图❤️功能,能根据你的只言片语,…
👍8
#每日涩图
👍12❤6
游戏名称:与缺乏存在感的妹妹的简单生活 v1.3.1 (和存在感薄弱的妹妹一起的简单生活) (存在感薄い妹との簡単生活) (妹存在感) (A Simple Life with My Unobtrusive Sister ) 游戏简介: ver1.3.0更新历史: • 追加了妹妹的新「新婚三选一」事件。 • 追加了浴室站立后入的性爱事件。 • 追加了第3次治疗完成后,妹妹来叫醒哥哥的特殊事件。 • 追加了哥哥的第3个噩梦事件。 • 试验性地导入了自由探索模式,哥哥可以在家中自由移动。(今后的更新中计划追加更多事件) • 追加了图鉴系统。可从图鉴中确认时间线,已解锁的事件会显示在时间线上,并可确认解锁日期与解锁条件。(旧存档数据中解锁日期可能无法正确显示) • 更新了画廊系统,追加了更多可回想的事件。可从画廊中欣赏已解锁的动画与静态CG。
👍15👎10❤4🤣3💘1
Showing the 12 most recent of 328 posts we hold for @thomasaua. 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 31 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
@thomasaua named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“安卓黄油の领域(转世重生ver)❤️” (@thomasaua), 110,316 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/thomasaua.
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.