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Channel

沈阳修车出击队《出击榜》

@sycjdrzbby1

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

48,645subscribers

+13,998 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001435276708
TypeChannel
Username@sycjdrzbby1
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live4 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/sycjdrzbby1

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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

34,64755,94545,2969 August 2026 — 34,647 subscribers9 August 2026 — 34,647 subscribers10 August 2026 — 34,873 subscribers11 August 2026 — 35,230 subscribers12 August 2026 — 35,475 subscribers14 August 2026 — 35,819 subscribers15 August 2026 — 36,166 subscribers16 August 2026 — 36,472 subscribers17 August 2026 — 36,777 subscribers18 August 2026 — 37,195 subscribers19 August 2026 — 37,588 subscribers20 August 2026 — 37,950 subscribers22 August 2026 — 38,425 subscribers23 August 2026 — 39,102 subscribers25 August 2026 — 39,535 subscribers26 August 2026 — 39,951 subscribers27 August 2026 — 40,304 subscribers28 August 2026 — 40,762 subscribers29 August 2026 — 41,023 subscribers30 August 2026 — 41,281 subscribers31 August 2026 — 41,638 subscribers1 September 2026 — 41,928 subscribers2 September 2026 — 42,172 subscribers3 September 2026 — 42,588 subscribers5 September 2026 — 43,220 subscribers8 September 2026 — 43,924 subscribers11 September 2026 — 44,878 subscribers13 September 2026 — 45,545 subscribers14 September 2026 — 46,086 subscribers16 September 2026 — 46,636 subscribers18 September 2026 — 47,184 subscribers25 September 2026 — 49,216 subscribers3 October 2026 — 50,923 subscribers8 October 2026 — 52,784 subscribers12 October 2026 — 53,502 subscribers14 October 2026 — 53,778 subscribers15 October 2026 — 53,990 subscribers16 October 2026 — 53,779 subscribers17 October 2026 — 54,501 subscribers18 October 2026 — 54,702 subscribers19 October 2026 — 54,948 subscribers20 October 2026 — 55,234 subscribers21 October 2026 — 55,609 subscribers22 October 2026 — 55,681 subscribers23 October 2026 — 55,945 subscribers24 October 2026 — 55,137 subscribers26 October 2026 — 55,492 subscribers27 October 2026 — 55,515 subscribers28 October 2026 — 55,935 subscribers29 October 2026 — 48,723 subscribers30 October 2026 — 44,170 subscribers31 October 2026 — 43,675 subscribers1 November 2026 — 44,835 subscribers2 November 2026 — 45,656 subscribers3 November 2026 — 46,805 subscribers4 November 2026 — 47,502 subscribers4 November 2026 — 48,645 subscribers48,6459 August 20264 November 2026
57 measurements spanning 87 days, net +13,998. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 31,452–59,140 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
4 Nov 2026, 22:4948,645+1,143
4 Nov 2026, 02:0647,502+697
3 Nov 2026, 02:2646,805+1,149
2 Nov 2026, 05:0145,656+821
1 Nov 2026, 05:1944,835+1,160
31 Oct 2026, 03:4843,675-495
30 Oct 2026, 05:4944,170-4,553
29 Oct 2026, 03:3148,723-7,212
28 Oct 2026, 02:5555,935+420
27 Oct 2026, 01:4955,515+23
26 Oct 2026, 01:5155,492+355
24 Oct 2026, 22:1455,137-808
23 Oct 2026, 23:1555,945+264
22 Oct 2026, 20:4655,681+72
21 Oct 2026, 17:0155,609+375
20 Oct 2026, 15:0955,234+286
19 Oct 2026, 13:3654,948+246
18 Oct 2026, 10:3154,702+201
17 Oct 2026, 11:1054,501+722
16 Oct 2026, 12:3053,779first reading

Engagement

333 posts held, back to 9 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 257 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.91%
avg views ÷ 48,645 subscribers
Avg views / post
929
126 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
126
of 333 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 November 2026
Posts held333 (9 August 2026 – 4 November 2026)
Views total117,015
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 21:53 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
25m 05s
Average length
10s

Measured directly from 145 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.

Recent posts

Telegram’s own ‘edited’ marker: 6 of 126 posts held from the last 30 days (4.76%) 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).

4 Nov 2026, 17:31 UTC127 viewsread 4 November 2026
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私信你的大部分都是骗子 找老师在榜单找定金不超过100放心出击出现骗子群主赔付 群内机器人口令技巧 出击;查看所有在榜老师 找类型就输入标签类型 找价格就输入数字 找胸围就输入型号 写车评就输入老师名字或者去认证机器人

4 Nov 2026, 06:41 UTC781 viewsread 4 November 2026
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📊 0条车评,综合评分 0.00 👉【查车评】【写车评】👈 🌏区域:#铁西区 🎀艺名:温婉 🐻胸围:#C 💦水费:#8p ☎️约她:点击👉联系方式 🦋类型:#御姐 #女友感 #配合 #敏感 3次车评后联系管理进出击小分队:负责排雷 出击优惠

3 Nov 2026, 13:59 UTC≈1,170 viewsread 4 November 2026
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🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H179362788798 🎰 潇潇福利优惠券 ⚠️ 抽奖说明: 禁止刷屏、否则禁言,连续发言.一律视为无效发言,! 中奖后24小时内预约老师,三天内出击, 中奖后必须出击必须写车评否则踢出本群 请老师监督中奖人不出击的请举报 💁 参与情况:25达标 / 48报名 🔋 人品加成:53票 ⚡️× 9 🎅 联系领奖:@xiaoxiao897968 1. zyhc⚡️⚡️ 奖品:减200优惠券 2. 两天秤大野木(三代目土影)⚡️× 9 奖品:减200优惠券 3. 晓不得 是⚡️× 9 奖品:减200优惠券 祝大家心想事成好运连连!

3 Nov 2026, 03:37 UTC≈1,380 viewsread 4 November 2026
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📊 0条车评,综合评分 0.00 👉【查车评】【写车评】👈 🌏区域:#仅上门 🎀艺名:格格 🐻胸围:#C 💦水费:#8p ☎️约她:点击👉联系方式 🦋类型:#长腿 #服务 #乖巧 #敏感 #女友感 3次车评后联系管理进出击小分队:负责排雷 出击优惠

3 Nov 2026, 02:46 UTC≈1,360 viewsread 4 November 2026
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📊 2条车评,综合评分 8.75 👉【查车评】【写车评】👈 🚫<中项> 飞儿老师身高155体重80,性格开朗、小巧玲珑,可盐可咸可摸可亲(不解释)🍦🍦🍦 课程1:300/30分 丝足按摩、滑足挑逗、足点会阴、胸揉、臀揉、纤纤玉指、闻香、漫游(耳边大腿内外侧前胸后背)骑士、喂足、口活。 课程2:400/45分(包括课程1),角色扮演、口活、69、水晶之恋、海底捞月、环球、陪浴、水中吹萧、凤毛推臀、手法顶肛、推臀沟。 课程3:可接女s调教课程400米起课程可私聊。 包时课:含以上全部课程 😀500/60分不限次不限次; 😀600/90分不限次不限次; 😀700/120分不限次不限次。 以上课程全程开档丝袜,情趣性感漏点内衣,该漏的都漏,结合手法流连忘返,手或足释放,上门授课课程2起。沈阳周边城市空降小时起,适情况而定,路费+二百,(先付定斤+路费)。 《无大活》《无大活》《无大活》 线上课程:100/10分,听指挥不露脸配合到位。…

2 Nov 2026, 14:00 UTC≈1,480 viewsread 4 November 2026
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🎰 潇潇福利优惠券 📮 参与条件: 🎫 加入-辽宁沈阳周边新闻资源 🎫 加入-沈阳修车出击队 └ 🎟️ 发言数大于 20 条 🎫 加入-沈阳修车出击队《出击榜》 🎁 奖品内容: 💰️ 减200优惠券 × 3 ⚠️ 抽奖说明: 禁止刷屏、否则禁言,连续发言.一律视为无效发言,! 中奖后24小时内预约老师,三天内出击, 中奖后必须出击必须写车评否则踢出本群 请老师监督中奖人不出击的请举报 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年11月03日 21时59分00秒

2 Nov 2026, 09:47 UTC≈1,450 viewsread 4 November 2026

限时优惠15天 单p优惠1张 pp优惠2张 包夜优惠3张

2 Nov 2026, 06:01 UTC≈1,500 viewsread 4 November 2026
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📊 58条车评,综合评分 9.56 👉【查车评】【写车评】👈 🌏区域:#沈北新区 🎀艺名:潇潇 暮雨 🐻胸围:#D 💦水费:#6p ☎️约她:点击👉联系方式 🦋类型:#少妇 #大胸 #长腿 #莞式 3次车评后联系管理进出击小分队:负责排雷 出击优惠

2 Nov 2026, 06:01 UTC≈1,150 viewsread 3 November 2026
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📊 12条车评,综合评分 9.86 👉【查车评】【写车评】👈 🌏区域:#仅上门 🎀艺名:小溪 🐻胸围:#C 💦水费:#12p ☎️约她:点击👉联系方式 🦋类型:#嫩妹 #长腿 #新人💙 #紧 #敏感 3次车评后联系管理进出击小分队:负责排雷 出击优惠

2 Nov 2026, 06:00 UTC631 viewsread 2 November 2026
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📊 130条车评,综合评分 9.71 👉【查车评】【写车评】👈 🌏区域:#沈河区 🎀艺名:kk 🐻胸围:#E 💦水费:#10p ☎️约她:点击👉联系方式 🦋类型:#巨乳 #长腿 #混血 3次车评后联系管理进出击小分队:负责排雷 出击优惠

2 Nov 2026, 04:59 UTC55 viewsread 2 November 2026
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📊 6条车评,综合评分 9.32 👉【查车评】【写车评】👈 🌏区域:#皇姑区 🎀艺名:心儿 🐻胸围:#B 💦水费:#15p ☎️约她:点击👉联系方式 🦋类型:#学生 #萝莉 #三点粉 #兼职 3次车评后联系管理进出击小分队:负责排雷 出击优惠

2 Nov 2026, 04:47 UTC96 viewsread 2 November 2026
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📊 4条车评,综合评分 9.75 👉【查车评】【写车评】👈 🌏区域:#沈河区 🎀艺名:小颖 🐻胸围:#B 💦水费:#10p ☎️约她:点击👉联系方式 🦋类型:#嫩妹 #长腿 #服务 3次车评后联系管理进出击小分队:负责排雷 出击优惠

Showing the 12 most recent of 333 posts we hold for @sycjdrzbby1. 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

@sycjdrzbby1 edited 1 post 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
4 September 2026
Most recent edit
4 September 2026

Posts recorded as deleted after publishing

We recorded 101 posts on @sycjdrzbby1 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
10 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
18 hours
Seen missing in the last 30 days
43

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 7 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.

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.

“沈阳修车出击队《出击榜》” (@sycjdrzbby1), 48,645 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/sycjdrzbby1.

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.