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Channel
大连线下频道
@dlyp6
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
46,042subscribers
+3,079 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001926792427 |
|---|---|
| Type | Channel |
| Username | @dlyp6 |
| Description | 备用榜单 @dlyp2 出勤群@dlfixcar 聊天群 @dlfixcar1 车评频道 https://t.me/dlreport6 上榜合作广告招商 @dlcheyouBot |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/dlyp6 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 17:58 | 46,042 | +83 |
| 1 Sept 2026, 19:16 | 45,959 | +77 |
| 31 Aug 2026, 20:13 | 45,882 | +41 |
| 30 Aug 2026, 20:14 | 45,841 | +108 |
| 29 Aug 2026, 21:04 | 45,733 | +100 |
| 28 Aug 2026, 20:48 | 45,633 | +215 |
| 27 Aug 2026, 20:59 | 45,418 | +182 |
| 26 Aug 2026, 18:43 | 45,236 | +98 |
| 25 Aug 2026, 20:56 | 45,138 | +156 |
| 24 Aug 2026, 19:06 | 44,982 | +233 |
| 23 Aug 2026, 02:44 | 44,749 | +257 |
| 21 Aug 2026, 13:28 | 44,492 | +119 |
| 20 Aug 2026, 14:08 | 44,373 | +133 |
| 19 Aug 2026, 13:05 | 44,240 | +200 |
| 18 Aug 2026, 12:36 | 44,040 | +126 |
| 17 Aug 2026, 09:28 | 43,914 | +247 |
| 15 Aug 2026, 18:27 | 43,667 | +203 |
| 14 Aug 2026, 09:14 | 43,464 | +270 |
| 12 Aug 2026, 22:33 | 43,194 | +231 |
| 12 Aug 2026, 07:45 | 42,963 | first reading |
Engagement
85 posts held, back to 11 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 53 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.10%
- avg views ÷ 46,042 subscribers
- Avg views / post
- 1,890
- 85 posts measured
- Reaction rate
- 0.134%
- reactions ÷ views · ER floor
- Posts in window
- 85
- of 85 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 66 of 85 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 85 (11 August 2026 – 2 September 2026) |
| Views total | 160,328 |
| Reactions total | 173 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 02:00 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
- 882
- Videos
- 182
- Links
- 190
Lifetime counters from Telegram’s own channel header, read 3 September 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
- 7m 27s
- Average length
- 10s
Measured directly from 44 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
173 reactions across 55 posts, in 3 distinct kinds. The most used accounts for 90.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 157 | 90.8% | |
| 👍 | 10 | 5.78% | |
| 🔥 | 6 | 3.47% |
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 85 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 173 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 85 most recent posts we hold, published 11 August 2026 to 2 September 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
📊 1条车评,综合评分9.5 好评 100% |人照 9 |服务 10 中评 0% |颜值 10 |态度 10 差评 0% |身材 9 |环境 9 风骚小少妇 #中山区 💰课费 499p 899pp ☎️ 联系方式 电报:点击获取 频道:点击查看 写车评:给老师写评价 💡 车评不显示点这里 🏷️标签
👍3❤2
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❤1
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❤4
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 甜甜 #中山区 💰课费 700p 1300pp ☎️ 联系方式 电报:点击获取 频道:点击查看 写车评:给老师写评价 💡 车评不显示点这里 🏷️标签
❤3
📊 14条车评,综合评分9.56 好评 92.9% |人照 9.69 |服务 9.26 中评 7.1% |颜值 9.79 |态度 9.31 差评 0% |身材 9.84 |环境 9.44 伊彤 #中山区 💰课费 800p 1600pp ☎️ 联系方式 电报:点击获取 频道:点击查看 写车评:给老师写评价 💡 车评不显示点这里 🏷️标签
📊 3条车评,综合评分9.96 好评 100% |人照 9.97 |服务 10 中评 0% |颜值 9.97 |态度 10 差评 0% |身材 9.83 |环境 9.97 梦雪 #西岗区 💰课费 900p 1700pp ☎️ 联系方式 电报:点击获取 频道:点击查看 写车评:给老师写评价 💡 车评不显示点这里 🏷️标签
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 小予 #中山区 💰课费 800p 1500pp ☎️ 联系方式 电报:点击获取 频道:点击查看 写车评:给老师写评价 💡 车评不显示点这里 🏷️标签
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Showing the 12 most recent of 85 posts we hold for @dlyp6. 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
@dlyp6 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
- 28 August 2026
- Most recent edit
- 29 August 2026
Citation-graph rank
Citation-graph rank — 51,810 of 1,630,085 entries 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
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.
Mentions
Named by 13 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.
@dlyp2 · 33,0904 posts海南独立团老师榜
@HBPBT_8 · 21,6973 posts天津意风广播台
@tianjingk · 42,4213 posts桂林群花坊
@glgkb · 21,0942 posts贵阳玫瑰山庄🅥认证榜
@gymgrzb · 11,4952 posts绵阳-故事汇公开榜
@aqbaogao · 17,2781 post长春站【东北学生会】
@ccjy0431 · 28,0851 post遵义仁怀🅥资源榜
@gylmzyb · 14,8721 post开封惠妞
@huiniu11 · 4,7541 post沈阳公开榜(辽宁)
@shenyanggk · 30,6191 post河北邯郸邢台公开榜3.0
@SHYJGk8 · 6,5711 post深圳修车大队LY之声
@szlym · 8,1251 post扬州泰州呱呱叫—楼凤总榜单【已验证区】
@yangzhouhaige98 · 27,6711 post
Names
Channels on the register whose handles appear in this channel's posts.
@dlcarplay_bot · 10,63161 posts大连备用榜单
@dlyp2 · 33,09019 posts大连退休干部吹水群
@dlfixcar1 · 4,8422 posts大连云屿私邸SPA官方频道
@yunyusidi · 1382 posts安琪悦的甜蜜小窝
@Anqiyue56789 · 3051 post云南昆明出击π(原pdd)
@chujipai · 11,9271 post大连萤火女仆测评群
@dlnp339 · 6131 post大连萤火女仆资料
@dlnp789 · 7,3841 post大连萤火女仆 交流群
@dlnp8888 · 17,1841 post大连顶美MMK女仆私影频道
@dlnpzl · 491 post广州佛山修车出击大队🦅
@foshan16886 · 26,9351 post开封欢乐谷
@guagua1120 · 23,2101 post福建福州有福之州
@guilinshan3 · 22,7611 post遵义仁怀🅥交流群
@gzlmzy · 17,8161 post邯郸.邢台老司机(河北)
@HanDanLs · 14,6551 post深圳修车大队
@lwheibang · 11,3871 post内蒙古·呼和浩特·修车茶餐厅🍵
@Nmg_0471_Hhht · 10,2451 post大连盘丝洞女仆频报告馆
@psdnp · 31 post大连女仆玩法
@taoqibao88888888 · 7,6151 post天津意风出勤榜🅢2.0
@tianjinYFJ · 40,8701 post深圳南山 艾总🍀
@xiaoai1111333 · 10,5021 post西宁炮兵团【修车群】💗颜值天花板💗
@Xnth1740 · 21,1671 post绵阳-故事汇
@ycxcly520 · 10,2091 post河南郑州优选烩面馆
@zzyx1 · 35,5801 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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@dlyp6 named 2 handles 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.
Evidenced gone
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.
named in 1 post, 3 September 2026 – 3 September 2026 · confirmed gone 1 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 13 August 2026 – 13 August 2026 · confirmed gone 20 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“大连线下频道” (@dlyp6), 46,042 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/dlyp6.
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.