开课啦宝子们

Channel
豆豆的小家
@dhejfdjdgfadh
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24subscribers
+22 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004356988333 |
|---|---|
| Type | Channel |
| Username | @dhejfdjdgfadh |
| Description | 机器人: @fehxubf18bot 私聊: @fehxubf18 频道: https://t.me/dhejfdjdgfadh |
| Created | 8 August 2026 — measured — dated from the channel’s first post |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/dhejfdjdgfadh |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 11:16 | 24 | no change |
| 8 Aug 2026, 16:28 | 24 | +22 |
| 8 Aug 2026, 07:46 | 2 | first reading |
Engagement
9 posts held, back to 8 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 756.0%
- avg views ÷ 24 subscribers
- Avg views / post
- 181
- 7 posts measured
- Reaction rate
- 0.862%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 9 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 1 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 9 (8 August 2026 – 9 August 2026) |
| Views total | 1,270 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 11:16 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
- 5
- Videos
- 1
- Links
- 3
Lifetime counters from Telegram’s own channel header, read 11 August 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.
- Video runtime
- 4s
- Average length
- 4s
Measured directly from 1 video 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 9 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 8 August 2026 to 9 August 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.
Recent posts
@#报告模板 【所属群组】东莞学生会 【所在地区】大朗 【老师艺名】豆豆 【联系方式】@fehxubf18 【验证留名】舒服得很 【验证日期】8.9 【上课价位】700p 【人照几分】9.9 【服务过程】约了老师进门确实好看,,说话轻声细语,颜值爆赞,人造一致,聊了几句就开始洗澡了,有陪浴,洗的干干净净后就上床了,与老师眼神对视,于是默默相拥在一起,逐渐下移开始口起来,别看老师文静,口活却很不错,毫无齿感,口了好一会儿,二弟硬邦邦的,直接带套提枪上阵,下面的紧不错,一阵运动下来,老师哼哼唧唧的叫起来,叫声自然不做作,随后后入,实在太欢乐了,一场大战下来,随后出货下课!值得推荐 支持匿名报告,匿名需要花费200积分隐藏ID。(积分多此举是为了避免恶意刷好评或者差评,所以大家尽量还是客观评价吧) 打分标准:6分及格,7分漂亮,8分优质,9分无脑冲 ⚠️报告提交给 投秘书长处 @guangdongrsbot) 并须附:确认…
现在有位可以约宝子们
有位可以约宝子们
开课啦宝子们
@#报告模板 【所属群组】东莞学生会 【所在地区】大朗 【老师艺名】豆豆 【联系方式】 @fehxubf18 【验证留名】老许 【验证日期】8.8 【上课价位】700p 【人照几分】9 【服务过程】进门的时候就看见老师小小的一只,是我喜欢的甜妹嫩妹型,老师还贴心点的准备了漱口水。最主要的是老师很紧,很紧,很紧。过程也不事儿逼,可以无脑冲,甜妹一枚。 支持匿名报告,匿名需要花费200积分隐藏ID。(积分多此举是为】了避免恶意刷好评或者差评,所以大家尽量还是客观评价吧) 打分标准:6分及格,7分漂亮,8分优质,9分无脑冲 ⚠️报告提交给 投秘书长处 @guangdongrsbot) 并须附:确认可添加的联系方式聊天等截图,遥控上楼部分聊天截图、付款截图(如现金,请说明)交流主群:https://t.me/Dgx07
艺名:#豆豆 位置: #大朗 身高:163 体重:45kg 年龄:18 🐻胸围:32c (纯天然) 特色:清纯可爱、高颜值高情商、床上功夫好听话配合、声音销魂服务内容:糟的服甜蜜69 鸳鸯浴 水中箫 🐻推 调情 舌尖漫游 按摩 丝袜👠老汉推车 配合各种爱爱姿势 真胸调情 猴子偷桃 舌尖调情 臀部调情 丝袜美腿诱惑 🔥深入了解激情❤️🔥aiai 🔥700p(40分钟内) 🔥1400pp(90分钟内) 🏠自带工作室干净卫生欢迎哥哥来我家做客外出pp起(预先支付路费)看距離而定注意:🈲 拔套🈲嗑💊 🈲醉酒 非诚勿扰 双向机器人🤖:@fehxubf18bot 个人频道👀: https://t.me/dhejfdjdgfadh 私聊✈️: @fehxubf18
❤1
Channel photo updated
Channel created
Showing the 9 most recent of 9 posts we hold for @dhejfdjdgfadh. 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
Citation-graph rank — 1,234,127 of 1,480,688entries 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.
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 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“豆豆的小家” (@dhejfdjdgfadh), 24 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/dhejfdjdgfadh.
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.