只是想想 不想见我嘛

Channel
小露💕 ໒୨ 🐍日记
@DXLouDiary
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,904subscribers
+38 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002764041722 |
|---|---|
| Type | Channel |
| Username | @DXLouDiary |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/DXLouDiary |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 05:45 | 1,904 | -7 |
| 27 Aug 2026, 14:04 | 1,911 | +3 |
| 24 Aug 2026, 06:55 | 1,908 | +9 |
| 20 Aug 2026, 21:57 | 1,899 | +22 |
| 17 Aug 2026, 13:03 | 1,877 | +11 |
| 16 Aug 2026, 13:45 | 1,866 | first reading |
Engagement
17 posts held, back to 20 May 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
- 45.1%
- avg views ÷ 1,904 subscribers
- Avg views / post
- 858
- 10 posts measured
- Reaction rate
- 0.136%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 17 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 4 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 17 (20 May 2026 – 16 August 2026) |
| Views total | 8,578 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 13:45 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
- Video runtime
- 2m 45s
- Average length
- 18s
Measured directly from 9 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.
Reaction mix
16 reactions across 9 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 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 11 of the 17 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 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 20 May 2026 to 16 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
想给你一脚又怕你舔我脚
❤1
【老师艺名】: #呆小露(温柔版) 【验证留名】:Nigara 【验证时间】:8-10 【修车水费】:700 【服务内容】:舌吻xcz 【颜值身材】:人照一样,粉奶头 【凶器罩杯】:C 【体验细节】: 约好小露老师,直接开车过去,开门瞬间就喜欢上了,声音很好听,身材超级棒,腿长胸又大,打扮也是我喜欢那种 ,寒暄几句就一起洗澡,洗完老师叫我躺下,慢慢的给我口起来,口技真的没得挑,还舔了蛋蛋,差点没忍住,立马制止老师,色心立起,马上就开始配合我,那个望着我的眼神~简直酥麻了,怎么还忍得了,马上把老师翻过来,在滑滑诱人的身体上一顿乱啃,老师一边享受一边用手拿上早准备好的tt,很快速的帮我带上帽子,我们床上换了好几个姿势,其中有一大半都是老师主动引导的,不得不说,老师看着可爱活泼那种,骨子里也是骚骚的,还会不停的在耳边吹气,爽歪歪,直到结束洗完澡回家路上都在回味。狼友值得体验。不会催。 【事逼行为】:无 【优点缺点】:女友感很强,感觉比…
❤2
遇见你 就像小猫_ ੭的世界下了小鱼雨ಣ
#呆小露(温柔版) 【验证留名】:小蝌蚪 【验证时间】:8/7 【修车水费】:1200pp 【服务内容】:xcz,69,舌管饱 【颜值身材】:温柔,嫩 【凶器罩杯】:C 天然🐻 【体验细节】:见面特意交待妹子淡妆,底子很好,身材前凸后翘, 天然🐻,上手特别有感觉,简单聊了几句洗澡,妹子前面还害羞,床上摇的相当激烈,次次到底,舌吻不断,没坚持多久缴枪了,爱爱反应真实,很有女友感。 【事逼行为】: 【优点缺点】:女友感,身材好,舌吻到饱 【联系方式】:@Louisedxl07
#呆小露(温柔版) 【验证留名】:大蜜丸 【验证时间】:08-07 【修车水费】:700p 【服务内容】:课表69🐍吻 【颜值身材】:苗条 【凶器罩杯】:C 【体验细节】:想cj老师好久了 今天正好有时间 ls也有时间 到了地点进门 ls就开始一直和我找话题聊天一点也不尴尬 ls说话声音软软的,特别可爱温柔 一起洗了个澡,🐻摸起来很有感觉,洗澡时k了几下就转移战场 k🐍69ls都不拒绝 态度相当好 带上小雨伞开始桩二十分钟左右 怕ls累着 出货 【事逼行为】:没有 【优点缺点】:皮肤嫩滑,热情情绪价值高,服务细致,床上够骚 【联系方式】:@Louisedxl07
吃饭了吗 看看我是不是你的菜
❤1
#呆小露(温柔版)💕 ໒୨ 🐍 【验证留名】:胡文强 【验证时间】:8-02 【修车水费】:7p 【服务内容】:舌吻吃鲍鱼做 【颜值身材】:漂亮妹妹 人照一致 【凶器罩杯】:c 【体验细节】:提早跟老师约好了时间。达到课室,开门看见一个漂亮的妹妹,人照基本一致。脱衣服洗澡,一看🐻,粉嫩,感觉上觉得没有c,不过摸上去挺挺的,挺舒服。老师全自动洗,洗完上床服务。可以蛇的,姿势高度配合。接下来过程就不详细了,最后123出水。值得再来的 【事逼行为】:无 【优点缺点】身材刚好是我喜欢的类型,值得体验,动作非常配合。 【联系方式】:@Louisedxl07
#呆小露(温柔版)💕 ໒୨ 🐍 【验证留名】:霍金斯 【验证时间】:8.2 【修车水费】:1200pp 【服务内容】:课表 【颜值身材】:照片无异 【凶器罩杯】:C 【体验细节】:提前预约了老师,到楼下老师指挥,开门见到老师很好看,工作室很整洁,安全,老师课表上的都有,感觉非常好,真的是服务天花板了,过程很享受,身材很好,不催,很热情,很性感诱人,身材完全凸现出来,我瞬间就按耐不住了,洗好澡就让老师拿套先在沙发上来一次,面对这样的尤物,男人的本性,有点按耐不住,直接开干,越插越爽,很快就发射给老师了,越完事之后老师帮我冲洗,我有点疲惫,老师就给我调情按课表的走了一遍 ,主要口活非常好,叫声很甜蜜,叫的我来感觉又硬了就上套开火,第二次水哗啦啦的流,真爽,完事还来个事后箫,情绪价值特别到位,值得推荐. 【事逼行为】:无 【优点缺点】:服务好 【联系方式】:@Louisedxl07
一般我下午出现 不然怕你早晚会爱上我
❤1
麻烦控制好你的魅力 我怕我我忍不住想要亲你
❤2
肌肉哥的身材真的好,人更好
❤1
Showing the 12 most recent of 17 posts we hold for @DXLouDiary. 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 — 470,024 of 1,626,884entries 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.
Mentions
Named by 9 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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“小露💕 ໒୨ 🐍日记” (@DXLouDiary), 1,904 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/DXLouDiary.
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.