💃老师:#程程吖 🤖链接: https://t.me/bjwyls/30826?single 🏠位置: #朝阳 #亚运村 ------------------ 🖋课后作业:@chenchen55658 朝阳程程, ,硬件描述:瘦高,没肉,胸说对A不过分肯定不是课表的C,腿和身上黄黑皮,牙齿长得乱七八糟。 体验:进门抱着手机玩,钱都付了说过来坐一起抱一下聊聊天不来,一直到洗澡还在玩手机没有任何身体和情绪上的互动;问情趣衣服怪我没提前说,说没有;口了不到一分钟说要带套,还说怕我射了,我射了岂不是更好;口了会又问我时间是不是很长,说什么为我好怕我超时;婊子就是婊子真会立牌坊;各种打断,及其影响心情。硬也硬的没感觉,做也没感觉。第一次花这个价换这么烂的体验。跟她说话没几句就特别强势,强势中断话题,我后面都不想说话了。狗日的烂鸡,真操蛋!实话实说,真气到了,但凡这出门前说几句好话我可能都算了,一直在那玩手机发语音。

Channel
骑车日记
@qicherj
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry
14,839subscribers
+3,183 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002195932528 |
|---|---|
| Type | Channel |
| Username | @qicherj |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/qicherj |
Topic
Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 22:48 | 14,839 | +59 |
| 3 Nov 2026, 22:17 | 14,780 | +58 |
| 2 Nov 2026, 19:11 | 14,722 | +36 |
| 1 Nov 2026, 15:59 | 14,686 | +28 |
| 31 Oct 2026, 18:27 | 14,658 | +11 |
| 30 Oct 2026, 19:36 | 14,647 | +24 |
| 29 Oct 2026, 16:54 | 14,623 | +35 |
| 28 Oct 2026, 19:39 | 14,588 | +32 |
| 27 Oct 2026, 17:06 | 14,556 | +33 |
| 26 Oct 2026, 13:59 | 14,523 | +6 |
| 25 Oct 2026, 14:56 | 14,517 | +14 |
| 24 Oct 2026, 13:27 | 14,503 | +17 |
| 23 Oct 2026, 14:27 | 14,486 | +17 |
| 22 Oct 2026, 14:51 | 14,469 | +19 |
| 21 Oct 2026, 07:11 | 14,450 | +39 |
| 20 Oct 2026, 07:44 | 14,411 | +33 |
| 19 Oct 2026, 09:36 | 14,378 | +17 |
| 18 Oct 2026, 12:50 | 14,361 | +12 |
| 17 Oct 2026, 16:05 | 14,349 | +48 |
| 16 Oct 2026, 16:46 | 14,301 | first reading |
Engagement
167 posts held, back to 31 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 54 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 14.9%
- avg views ÷ 14,839 subscribers
- Avg views / post
- 2,220
- 36 posts measured
- Reaction rate
- 0.301%
- reactions ÷ views · ER floor
- Posts in window
- 36
- of 167 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 32 of 36 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 167 (31 July 2026 – 4 November 2026) |
| Views total | 79,764 |
| Reactions total | 213 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 17:08 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
- 15s
- Average length
- 15s
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
1,605 reactions across 148 posts, in 27 distinct kinds. The most used accounts for 20.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 332 | 20.7% | |
| ❤ | 283 | 17.6% | |
| 👎 | 272 | 16.9% | |
| 💩 | 215 | 13.4% | |
| 👍 | 185 | 11.5% | |
| 🤮 | 120 | 7.48% | |
| 👀 | 39 | 2.43% | |
| 🤣 | 37 | 2.31% | |
| 🔥 | 24 | 1.50% | |
| 😁 | 16 | 0.997% | |
| 👏 | 13 | 0.81% | |
| 🖕 | 13 | 0.81% | |
| 🌚 | 8 | 0.498% | |
| 😭 | 8 | 0.498% | |
| 🤪 | 6 | 0.374% | |
| 😢 | 5 | 0.312% | |
| 😨 | 5 | 0.312% | |
| 😱 | 5 | 0.312% | |
| 🙊 | 4 | 0.249% | |
| 🤔 | 4 | 0.249% | |
| 7 further kinds | 11 | 0.685% |
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 156 of the 167 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 1,605 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 167 most recent posts we hold, published 31 July 2026 to 4 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 36 posts held from the last 30 days (5.56%) 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).
百子湾佩奇怎么样?人照合一吗?
🤮7💩3
@tantam56789 亚运村上官甜甜有谁去过吗
👍9❤2🔥1🤮1
沐槿 怎么样,有去过的兄弟吗?服务好吗? 年龄大吗?
🤮10💩4
求问亦庄丹丹怎么样@Dd282702
🤮9💩4
亚运村苗族桃子如何?老哥们谁去过
💩13🤮3
@bz133333尼宝儿咋样?有去过的嘛
🤮12💩4
立水桥苏欣账号删除是不干了吗
💩10🤮3
#白桃岑·火家 频道链接:https://t.me/hahbj8/76817
❤1
想问问,两只猫,是真胸吗 - 真凶真pg
👎14🤣2
@xiaociba1888o 反馈一手小糍粑,选的1299B套餐,屋内很脏,茶几全是污渍浴室满地头发;床上过程就更der了,啥也不会,就是很简单的胸推、指划,然后就给你撸,足交不会手法没有,就是生撸;头发巨大的头油➕火锅的味道。硬射了一次赶紧跑了,比大课的精神小妹还坑,人好赖给口一下操一下,这纯冤种了。以上个人感受,大家理性参考。
👍3🤣2🤮1
@OvObuding 新上的留学生布丁有人去过吗 态度好,特别嫩
👍4🤔3❤2
Showing the 12 most recent of 167 posts we hold for @qicherj. 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.
Posts edited after publishing
@qicherj edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 29 August 2026
- Most recent edit
- 4 November 2026
Posts recorded as deleted after publishing
We recorded 4 posts on @qicherj 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.
- First seen missing
- 25 August 2026
- Most recent seen missing
- 1 September 2026
- Median time before seen missing
- 29 hours
- Seen missing in the last 30 days
- 0
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
Names
Channels on the register whose handles appear in this channel's posts.
@bjwyls · 68,03832 posts北京【海奥华】老师频道
@hahbj8 · 47,23626 posts北京品茗中高
@PMXKT · 15,6485 posts北京 【无忧】 中小项 服务
@bjwyfw · 23,8132 posts北京 龙哥 北京修车 老师资料库
@aibeijing_01 · 39,1011 post北京教务处
@bjgroupjwc · 12,8521 post北京【无忧】活动榜单
@bjwyhd · 23,2561 post小水水的频道
@EDX1232 · 4911 post全国包养萝莉/处女/学妹(广告频道)
@muzimm21 · 31 post北京品茗初级
@vipt001 · 12,7491 post
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“骑车日记” (@qicherj), 14,839 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/qicherj.
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.