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Channel

北京高端车资源

@bjgdcfzyb

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

36,181subscribers

+5,459 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-1002179034015
TypeChannel
Username@bjgdcfzyb
Description🌹上榜认证管理员🌹 @Zxc5588 北京高端车交流群:https://t.me/bjgdcf
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live26 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/bjgdcfzyb

Topic

Adult — 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 85% 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 why it has no browse page of its own yet.

Growth

26,15736,18131,16912 August 2026 — 30,722 subscribers12 August 2026 — 30,722 subscribers14 August 2026 — 30,315 subscribers15 August 2026 — 30,090 subscribers17 August 2026 — 29,726 subscribers18 August 2026 — 29,431 subscribers19 August 2026 — 29,244 subscribers20 August 2026 — 28,589 subscribers21 August 2026 — 31,007 subscribers22 August 2026 — 29,346 subscribers24 August 2026 — 31,585 subscribers25 August 2026 — 30,649 subscribers26 August 2026 — 29,812 subscribers27 August 2026 — 29,437 subscribers28 August 2026 — 29,170 subscribers29 August 2026 — 28,282 subscribers30 August 2026 — 27,423 subscribers31 August 2026 — 27,322 subscribers1 September 2026 — 26,915 subscribers2 September 2026 — 26,660 subscribers3 September 2026 — 26,437 subscribers5 September 2026 — 26,157 subscribers8 September 2026 — 35,665 subscribers11 September 2026 — 35,256 subscribers13 September 2026 — 34,844 subscribers15 September 2026 — 34,691 subscribers16 September 2026 — 33,082 subscribers19 September 2026 — 29,788 subscribers26 September 2026 — 36,181 subscribers12 August 202626 September 2026
29 measurements spanning 44 days, net +5,459. 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 24,653–37,685 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
26 Sept 2026, 06:1836,181+6,393
19 Sept 2026, 09:3829,788-3,294
16 Sept 2026, 23:3933,082-1,609
15 Sept 2026, 00:5934,691-153
13 Sept 2026, 11:1834,844-412
11 Sept 2026, 11:5935,256-409
8 Sept 2026, 21:1635,665+9,508
5 Sept 2026, 16:3626,157-280
3 Sept 2026, 19:2026,437-223
2 Sept 2026, 11:2626,660-255
1 Sept 2026, 12:5626,915-407
31 Aug 2026, 14:2527,322-101
30 Aug 2026, 11:4427,423-859
29 Aug 2026, 13:1328,282-888
28 Aug 2026, 12:5529,170-267
27 Aug 2026, 16:0429,437-375
26 Aug 2026, 13:1729,812-837
25 Aug 2026, 12:2330,649-936
24 Aug 2026, 08:4731,585+2,239
22 Aug 2026, 18:4929,346first reading

Engagement

47 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 65 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.04%
avg views ÷ 36,181 subscribers
Avg views / post
2,190
28 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
28
of 47 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 28 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 September 2026
Posts held47 (8 August 2026 – 29 September 2026)
Views total61,192
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 18:56 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
≈3,230
Videos
≈344
Links
≈368

Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 21s
Average length
9s

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

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3100.0%

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 4 of the 47 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 47 most recent posts we hold, published 8 August 2026 to 29 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

29 Sept 2026, 06:30 UTC≈1,590 viewsread 29 September 2026
Photo

😀😀😀😀 ✨ 坐标: #北京 #朝阳区 💋 花名:#哪吒 ✈️ 私聊: @nezha1012 💌 频道: https://t.me/+0X23K_JvQ-02Y2Rl 👀双向: @nezha1012_bot 💰 课费: #2000p 👑标签:#69 #舌吻 #情趣 #制服 #丝袜 #高跟 #口爆 😀😀😀😀 😀😀😀😀😀

28 Sept 2026, 03:22 UTC≈2,870 viewsread 29 September 2026
Photo

开飞机会员 3个月 106元 6个月 180元 12个月 280元 会员走量不赚钱 出售各国飞机号8元起, 用于拉人群发 ,便宜耐用。量大,可聊走量不怎么赚钱 老师聊单专用号↓ 私人使用 耐操 不死号↓ 以下所有号包售后15天包退包换↓ 半年的号 30元 一年的号 60元 二年的号 80元 三年的号 140元 五年的号 180元 一年群/频道 80 元 两年群/频道 140元 咨询联系 : 大圣 @qtdsfjh 关注频道 : https://t.me/datgzs

27 Sept 2026, 11:59 UTC≈3,200 viewsread 29 September 2026
Photo

😀😀😀😀 ✨ 坐标:#北京 #朝阳区 #东三环 💋 花名:#李一桐 ✈️ 私聊: @Yuanbaobao2018 💌 频道: https://t.me/yuanbaobao1314520 👀双向: @litongtong123_bot 💰 课费: #1300p-2400pp 👑标签:#69 #鸳鸯浴 #无套口 #舌吻 #胸推 #指滑 #漫游 #刮痧 #深喉 #丝袜 #高跟 😀😀😀😀 😀😀😀😀😀

26 Sept 2026, 06:07 UTC≈2,610 viewsread 29 September 2026
Photo

😀😀😀😀 ✨ 坐标:#北京 #丰台区 💋 花名:#火火 ✈️ 私聊: @huohuoer3 💌 频道: https://t.me/huohuoer 👀双向: @huohuoer3bot 💰 课费: #600p-1200pp 👑标签:#69 #鸳鸯浴 #无套口 #舌吻 #胸推 😀😀😀😀 😀😀😀😀😀

25 Sept 2026, 06:07 UTC≈2,450 viewsread 28 September 2026
Photo

😀😀😀😀 ✨ 坐标:#北京 #朝阳区 💋 花名:#小鹿鹿 ✈️ 私聊: @Lulu24231 💌 频道: http://t.me/Lulu242310 👀双向: @lulugululu_bot 💰 课费: #2000p-3800pp 👑标签:#69 #御姐 #舌吻 #长腿 #肤白 😀😀😀😀 😀😀😀😀😀

24 Sept 2026, 12:58 UTC≈2,660 viewsread 27 September 2026
Video

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24 Sept 2026, 04:38 UTC≈2,750 viewsread 27 September 2026
Photo

😀😀😀😀 ✨ 坐标:#北京 #丰台区 #西三环 💋 花名:#张老师 ✈️ 私聊: @zhan497 💌 频道: http://t.me/Csk394 👀双向: @zhan496bot 💰 课费: #500p-1000pp 👑标签:#69 #深喉 #舌吻 #黑丝 #胸推 #漫游 #过水 #毒龙 #按摩 #喷水 #激情 #配合 😀😀😀😀 😀😀😀😀😀

23 Sept 2026, 13:53 UTC≈2,490 viewsread 25 September 2026
Photo

大量收购极搜收录群,想换点钱花的联系大圣: @fjhzdas

23 Sept 2026, 03:45 UTC≈2,810 viewsread 25 September 2026
Photo

😀😀😀😀 ✨ 坐标:#北京 #朝阳区 #东五环 💋 花名:#巨乳可儿 #已认证 ✈️ 私聊: @cocokkg 💌 频道: @cocok516 👀双向: @coco516_bot 💰 课费: #1300p-2500pp 👑标签:#69 #鸳鸯浴 #水中箫 #无套口 #胸推 #漫游 #深喉 #口爆 #制服 #丝袜 #激情 #配合 😀😀😀😀 😀😀😀😀😀

22 Sept 2026, 13:54 UTC≈2,840 viewsread 25 September 2026
Photo

😀😀😀😀 ✨ 坐标:#北京市 #昌平区 #沙河 💋花名 :#白桃 ✈️ 私聊: @xunlu518 💌 频道: @baitaocen518 👀双向: @xunlu518_bot 💰 课费: #600-4000 👑标签:#莞式 #69 #舌吻 #口爆 #毒龙 #花式箫 #臀推 #阴推 #丝袜 #制服 #事后箫 #激情配合 😀😀😀😀 😀😀😀😀😀

22 Sept 2026, 08:34 UTC≈1,930 viewsread 24 September 2026
Photo

😀😀😀😀 ✨ 坐标:#北京 #丰台区 #纪家庙 💋 花名:#可可 #已认证 ✈️ 私聊: @kekebaby123 💌 频道: https://t.me/babykk677 👀双向: @kekebabybot 💰 课费: #500p-1000pp 👑标签:#69 #鸳鸯浴 #水中箫 #无套口 #胸推 #漫游 #高跟 #调情 #制服 #丝袜 #激情 #配合 😀😀😀😀 😀😀😀😀😀

21 Sept 2026, 04:31 UTC≈2,110 viewsread 22 September 2026
Photo

😀😀😀😀 ✨ 坐标:#北京 #朝阳区 💋 花名:#奶柔 #已认证 ✈️ 私聊: @nairoubb1688 💌 频道: https://t.me/nairou168 👀双向: @nairoubb1688_bot 💰 课费: #1100p-1800pp 👑标签:#69 #鸳鸯浴 #乳交 #调情 #胸推 #口爆 #舌蛋 #漫游 #制服 #丝袜 #激情 #配合 😀😀😀😀 😀😀😀😀😀

Showing the 12 most recent of 47 posts we hold for @bjgdcfzyb. 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.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“北京高端车资源” (@bjgdcfzyb), 36,181 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/bjgdcfzyb.

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.