推荐两个很不错的暗网搜索引擎㊙️ 👉 暗网搜索引擎① 热瓜|番号|电影 点击直达 👉 暗网搜索引擎② 热点|网红|资源 点击直达
👍1

Channel
@ciyuan3
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
20,351subscribers
+3,071 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002540358265 |
|---|---|
| Type | Channel |
| Username | @ciyuan3 |
| Description | 动漫里番,更新。不定期更新 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/ciyuan3 |
Adult — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 06:47 | 20,351 | +53 |
| 8 Nov 2026, 22:10 | 20,298 | +53 |
| 7 Nov 2026, 17:58 | 20,245 | +49 |
| 6 Nov 2026, 18:40 | 20,196 | +20 |
| 5 Nov 2026, 20:46 | 20,176 | +25 |
| 4 Nov 2026, 20:37 | 20,151 | +37 |
| 3 Nov 2026, 22:39 | 20,114 | +28 |
| 3 Nov 2026, 00:00 | 20,086 | +45 |
| 1 Nov 2026, 23:29 | 20,041 | +46 |
| 1 Nov 2026, 01:49 | 19,995 | +16 |
| 31 Oct 2026, 02:48 | 19,979 | +27 |
| 30 Oct 2026, 01:48 | 19,952 | +18 |
| 29 Oct 2026, 02:19 | 19,934 | +29 |
| 28 Oct 2026, 02:28 | 19,905 | +45 |
| 27 Oct 2026, 00:27 | 19,860 | +33 |
| 26 Oct 2026, 03:47 | 19,827 | +67 |
| 25 Oct 2026, 01:16 | 19,760 | +18 |
| 23 Oct 2026, 23:36 | 19,742 | +41 |
| 23 Oct 2026, 02:58 | 19,701 | +14 |
| 22 Oct 2026, 03:21 | 19,687 | first reading |
103 posts held, back to 28 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 86 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 25 of 33 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 103 (28 July 2026 – 11 November 2026) |
| Views total | 117,259 |
| Reactions total | 50 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 22:05 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 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
121 reactions across 56 posts, in 5 distinct kinds. The most used accounts for 68.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 83 | 68.6% | |
| 👍 | 33 | 27.3% | |
| 🥰 | 3 | 2.48% | |
| 👎 | 1 | 0.826% | |
| 🔥 | 1 | 0.826% |
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 66 of the 103 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 121 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 103 most recent posts we hold, published 28 July 2026 to 11 November 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.
Telegram’s own ‘edited’ marker: 1 of 33 posts held from the last 30 days (3.03%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
推荐两个很不错的暗网搜索引擎㊙️ 👉 暗网搜索引擎① 热瓜|番号|电影 点击直达 👉 暗网搜索引擎② 热点|网红|资源 点击直达
👍1
欢迎来到后宫岛! 1 同人RPG《欢迎来到后宫岛!》动画化。一男三女的探险部南下遇难,漂至异世界“后宫岛”,岛上九成人口为女性。应梦中神谕,他们决定振兴冷落的南方岛屿,与当地女性共同经营。在未知植物与异域风情中,不安与依恋交织,暗恋的心情再也压抑不住,最终诉出“最喜欢你”。一段温柔的异世界后宫生活即将展开。 #双马尾 #巨乳 #白虎 #内射 #口交 #后宫 观看收藏请点击:点我查看
魅影炼金 ~西尔维娅的心跳都市计划~ 2 初出茅庐的炼金术师西尔薇亚完成街道整备后拜访冒险者公会,结识视其母为恩人的会长艾琳,两人一见如故。突遇西部矿山塌方,携手深入魔物巢穴救援,面对惊恐不已的被困者,西尔薇亚以身试法予其勇气,暂时平息事态。然而艾琳竟现异状,为修复阻塞坑道,西尔薇亚不得不初次实战吸收魔物精华催动炼金术,身为人妻的艾琳亦难掩喘息,一场充满未知变数的炼金冒险就此拉开序幕。 #异种族 #怪兽 #哥布林 #JK #NTR #逆强制 观看收藏请点击:点我查看
推荐两个很不错的暗网搜索引擎㊙️ 👉 暗网搜索引擎① 热瓜|番号|电影 点击直达 👉 暗网搜索引擎② 热点|网红|资源 点击直达
kitty Network|2元/月 全年24元 🔥不限设备 | 不限速 | 无倍率套路 Amazon 5Gbps 全球骨干网,全节点直连 ✔️ 解锁流媒体 & AI 平台 ✔️ 大流量随心下载 ✔️ 稳到能当主力,价格低到人人备一条 一杯奶茶钱,备一条永不失联的线路 😀 [立即注册] | [加入频道]
魅影炼金 ~西尔维娅的心跳都市计划~ 1 独居深山的普通少女希尔维亚,被一名叫史蒂夫的男人领至边境都市,却在不明所以中被对方推倒。她虽感抗拒,身体却涌出奇异力量——原来她拥有不自知的炼金术天赋。通过精液觉醒能力的她,从此肩负起城镇发展的重任。为炼制秘术、振兴边疆,希尔维亚不得不踏上收集男性精华的旅途。新晋爆乳炼金术师,就此诞生。 #丝袜 #御姐 #高跟鞋 #眼镜娘 #内射 #美人痣 观看收藏请点击:点我查看
so_low ~傲娇妹妹的失误~ 傲娇又冒失的妹妹美月,面对停滞的成绩,在家庭教师的安排下开始了学习合宿。从口交教学到彻底突破,她一边抱怨一边在书桌前、在床上接受着令人羞耻的指导。面对不合理的测验与步步紧逼的要求,她虽不甘却无从反抗,最终在混合着白浊与羞赧的合宿中彻底败下阵来。敬请观赏这位小恶魔般的傲娇妹妹,被精心调教的全过程。 #人妻 #JK #师生 #白虎 #巨乳 #舌吻 观看收藏请点击:点我查看
👍2❤1
🔥🔥香草AI ♥️ 全网最火性爱游戏 🔞 色爆!最顶级的中文色情大模型 深度学习千万部色情小说和真人文爱记录,技术领先全行业18个月 💖 好玩!最懂你感情和性趣的伴侣 基于MIT情感计算框架,超强拟真,无限还原现实,实现你的任何幻想 ✅ 私密!最安全隐匿的专属陪伴 AES-256军事级加密,信息阅后即焚,只属于你的禁忌性爱 💋 全性癖专属定制!满足一切幻想 电车痴汉 浪漫纯爱 母狗调教 精神控制 催眠恶堕 绿帽人妻 群P换妻 时间停止 强制高潮 感官剥夺 克鲁苏 SM调教…… ❤️🔥❤️🔥 免费开玩!点击调教反差母狗!首充低至五折!
❤1
so_low ~双胞胎姐妹的用心~ 2 体育老师航大不断胁迫佳纯,她虽不甘受辱却未显露怯懦,反而以倔强姿态顽强抗争,殊不知这份倔强令对方更加兴奋。她被强迫屈从,在一次次不堪的对待中,身体竟不自觉出现陌生反应,这令佳纯自己都感到震惊与困惑。与此同时,好友美都希隐约察觉到两人间微妙的不寻常气氛,却未能深思,只是懵懂地被要求专注于学习。直至某日她恍然惊觉,自己竟与航大在密闭储物间内独处对峙,瞬间陷入巨大的惊愕之中。 #口爆 #JK #男教师 #调教 #内射 #吞精 观看收藏请点击:点我查看
❤2
so_low ~双胞胎姐妹的蔑视~ 1 雙胞胎姐妹美都希與佳純正暗中商議如何趕走新任家庭教師。她們的母親千紘正在客廳與家庭教師藤丘航大溝通,而這位慣於將短期體驗轉為長期服務的教師,此次決心要引誘這對成績優秀、氣質各異的姐妹墮落。天真的妹妹美都希與看似清純的姐姐佳純設下陷阱,航大卻自信能借此積累經驗,反而步步緊逼,一場充滿試探與危險的較量悄然展開。 #师生 #男教师 #丝袜 #眼镜娘 #短发 #口交 观看收藏请点击:点我查看
❤1
#频道互推 #群组推荐 健身组(健身小姐姐集合) (NSFW)mmd分享 DLsite Steam黄油下载 纵享丝滑(丝袜精选) iOS破解游戏软件分享 Galgame分享频道 动画&插画分享(NSFW) DLsite 黄油下载 好看的爱看的绝绝子美图 每日色色漫画 AI少女症候群『NSFW』 电报频道索引 互推:@miaomiao333bot
👍2
援助交配 12 体育老师回归后,与精灵公主艾莉丝开始了暧昧的同居生活。她运用着不知从何处学来的大胆伎俩,以裸体围裙、共浴、依偎观影等方式构筑起甜蜜的假想夫妻日常。这些温情相伴的时光让老师逐渐积攒勇气,终于向她吐露心意。听到告白后,艾莉丝欣喜于彼此心意的相通,二人就此结合,缔结了更深的羁绊。每当老师归来,她总以俏皮的“三选一”问候相迎:是先吃饭,先洗澡,还是先享用我呢? #围裙 #白虎 #异种族 #内射 #贫乳 #浴室 观看收藏请点击:点我查看
❤2👍2
Showing the 12 most recent of 103 posts we hold for @ciyuan3. 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.
We recorded 24 posts on @ciyuan3 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Named by 5 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“异次元&里番动漫” (@ciyuan3), 20,351 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ciyuan3.
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.