⚡️【母子同欢】内群已更最新剧集⚡️ #母子同欢 #ai成人短剧 #ai短剧 #黄豆短剧 📱 😀😀😀😀😀😀 《母子同欢》EP14 简介:一袭白色的婚纱,一根粗大的鸡巴,一场酣畅淋漓的母子性爱,即刻上演...... 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
❤21👍3👎2🥰1

Channel
@dahlbg
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
39,668subscribers
+20,086 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003432493708 |
|---|---|
| Type | Channel |
| Username | @dahlbg |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 9 November 2026 |
| Measurements held | 57 |
| Confirmed unchanged | 1 time, most recently 9 November 2026 |
| On Telegram | t.me/dahlbg |
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 |
|---|---|---|
| 9 Nov 2026, 15:49 | 39,668 | -66 |
| 8 Nov 2026, 09:38 | 39,734 | -93 |
| 7 Nov 2026, 06:56 | 39,827 | -63 |
| 6 Nov 2026, 07:39 | 39,890 | -72 |
| 5 Nov 2026, 09:05 | 39,962 | -86 |
| 4 Nov 2026, 09:07 | 40,048 | -93 |
| 3 Nov 2026, 05:50 | 40,141 | -79 |
| 2 Nov 2026, 08:54 | 40,220 | -86 |
| 1 Nov 2026, 06:36 | 40,306 | -105 |
| 31 Oct 2026, 09:06 | 40,411 | -92 |
| 30 Oct 2026, 09:01 | 40,503 | -106 |
| 29 Oct 2026, 09:50 | 40,609 | -73 |
| 28 Oct 2026, 11:57 | 40,682 | -112 |
| 27 Oct 2026, 13:40 | 40,794 | -113 |
| 26 Oct 2026, 13:20 | 40,907 | -135 |
| 25 Oct 2026, 11:47 | 41,042 | -128 |
| 24 Oct 2026, 12:30 | 41,170 | -124 |
| 23 Oct 2026, 13:06 | 41,294 | -171 |
| 22 Oct 2026, 13:39 | 41,465 | -211 |
| 21 Oct 2026, 09:20 | 41,676 | first reading |
502 posts held, back to 14 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 94 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 63 of 71 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 October 2026 |
|---|---|
| Posts held | 502 (14 August 2026 – 15 October 2026) |
| Views total | 161,340 |
| Reactions total | 297 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Oct 2026, 08:18 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 380 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.
1,513 reactions across 344 posts, in 11 distinct kinds. The most used accounts for 80.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,223 | 80.8% | |
| 👍 | 170 | 11.2% | |
| 🥰 | 70 | 4.63% | |
| 🔥 | 38 | 2.51% | |
| 👎 | 3 | 0.198% | |
| 💩 | 3 | 0.198% | |
| 🤔 | 2 | 0.132% | |
| 👏 | 1 | 0.066% | |
| 😈 | 1 | 0.066% | |
| 😱 | 1 | 0.066% | |
| 🤡 | 1 | 0.066% |
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 356 of the 502 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 1,513 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 502 most recent posts we hold, published 14 August 2026 to 15 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.
Telegram’s own ‘edited’ marker: 0 of 71 posts held from the last 30 days (0%) 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).
⚡️【母子同欢】内群已更最新剧集⚡️ #母子同欢 #ai成人短剧 #ai短剧 #黄豆短剧 📱 😀😀😀😀😀😀 《母子同欢》EP14 简介:一袭白色的婚纱,一根粗大的鸡巴,一场酣畅淋漓的母子性爱,即刻上演...... 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
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❤1👍1
⚡️【早春晴朗】少儿不宜系列 ⚡️ #早春晴朗 #ai成人短剧 #ai短剧 #魔改短剧 📱 😀😀😀😀😀😀 《早春晴朗 》EP5-9 剧情简介:春日暖阳透过薄纱洒在凌乱床上。他俯身吻她锁骨,双手扯开衣襟,直接埋进她双腿间猛舔湿穴。她浪叫着夹紧他头,他随即挺身直插到底,粗硬肉棒狠狠抽送。阳光在交缠身体上跳跃,汗水与淫水混成一片,两人疯狂做爱直到暮色降临。 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
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⚡️【性转禁忌】完整剧集内群连载中 ⚡️ #性转禁忌 #ai成人短剧 #ai短剧 #黄果短剧 📱 😀😀😀😀😀😀 《性转禁忌》EP4 剧情简介:周霆这商界狠角色一觉醒来直接变女人,娇躯还在继续压着对手玩。晚上私人套房里跟老冤家贴身缠,攻守翻转欲望爆棚,性别反转反而把禁忌玩得更脏更上头。 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
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🌟【我和姐姐与她的朋友】完整剧集连载中 #姐弟 #ai短剧 #黄果短剧 #我和姐姐与她的朋友 📱 😀😀😀😀😀😀《我和姐姐与她的朋友》EP1 剧情简介:爸妈常年在外,家里就姐姐爱美和弟弟卓也。爱美上班,卓也念书,结果她和闺蜜玲奈关系太暧昧了,卓也撞见两个女人在家里亲热,直接管不住自己冲上去一起玩。 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
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🌟【妻子公司的性企划】完整剧集连载中 #妻子公司的性企划 #ai短剧 #绿帽 #人妻 📱 😀😀😀😀😀😀《妻子公司的性企划》EP1 泳池别墅团建,表面放松玩游戏,底下却是公司早就定好的性企划。那些人妻一个接一个被挑中,领导们盯着看,绿帽直接拉满。 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
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⚡️【健身房的故事】剧集连载中 #健身房的故事 #ai短剧 #魔改短剧 #擦边短剧 EP1-9 剧情介绍:健身房和巨乳母狗的淫荡故事 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
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⚡️ 【女友帮我操闺蜜】EP8 完整剧集内群已更新 ⚡️ #女友帮我操闺蜜 #成人短剧 #AI短剧 #黄豆短剧 和废物男友吵架后,她擦着眼泪去点男模,蒙着眼被干到腿软喷水,眼罩一掉,男模竟是闺蜜男友,她不仅没推开,反而把腿夹得更紧了…… 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
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⚡️【母衣半暖默许春期】 完整剧集内群连载中 #母衣半暖默许春期 #黄果短剧 #成人短剧 #ai短剧 📱 😀😀😀😀😀😀 《母衣半暖默许春期》EP7 小伙子跟老妈同住一屋,青春期那股子劲儿全冲着妈去了,偷看完还把她内衣搞脏。心理博士妈一眼看穿,不但不骂反而自己下套,懒散带点骚气的架势,就等着儿子敢不敢真跨那条线。 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
📱我在办公室被她们榨干 | 第8集 #我在办公室被她们榨干 #AI短剧 #AI成人 #真人AI 午后办公室的窗帘半掩,空气里浮动着隐秘的香气。两位女同事借着午休时段,悄然围拢到他身边,唇角带着意味深长的笑意。她们以娴熟而温柔的动作,将他引向角落的沙发,彼此交替着施以绵密的亲昵。指尖与呼吸交织,逐渐剥去他理智的防线,让他沉溺于绵延不绝的缠绵中,直到最后只剩下一片被榨取后的虚脱与余韵。 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
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📱 😀😀😀😀😀😀 《釜山行》EP8 剧情简介:KTX列车突发丧尸危机!林宇发现丧尸只攻击衣物,全裸即可隐形。他与夏晴、楚月、金正熙被迫脱光求生,在血腥车厢中赤身裸体穿梭、搜刮物资,羞耻与欲望交织,开启一场全裸末日求生之旅。 #釜山行 #ai成人短剧 #ai短剧 #AI原创 🔣本频道专注于只做精品,所有原创AI短剧均是一手自购,内群80%以上自购资源不会加任何二次水印,原版高清,全网最全,质量最第一,永久会员只要1️⃣2️⃣8️⃣ 元 🔣 ➕更多精彩后续点击进入会员通道,同步追更最新高质量短剧⬆
❤1
Showing the 12 most recent of 502 posts we hold for @dahlbg. 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 3 posts on @dahlbg 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.
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.
@dahlbg 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 9 November 2026 — this entry's latest reading, not the date you are reading this.
“精神小妹黄果黄豆ai成人短剧” (@dahlbg), 39,668 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/dahlbg.
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.