被骗200(幸好及时止损) ⚠️没有上榜的都是骗子 ⚠️主动私聊的都是骗子

Channel
苏州黑车频道
@heichesz
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
7,395subscribers
-2,330 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002042257895 |
|---|---|
| Type | Channel |
| Username | @heichesz |
| Description | 苏州黑车资源公示频道 安全CJ,防范黑车 大群链接 https://t.me/szxinwenhua |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/heichesz |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 |
|---|---|---|
| 6 Nov 2026, 02:47 | 7,395 | -9 |
| 3 Nov 2026, 08:01 | 7,404 | -3 |
| 31 Oct 2026, 05:58 | 7,407 | -19 |
| 27 Oct 2026, 22:39 | 7,426 | -12 |
| 25 Oct 2026, 04:57 | 7,438 | -10 |
| 21 Oct 2026, 22:37 | 7,448 | -18 |
| 18 Oct 2026, 22:59 | 7,466 | -7 |
| 16 Oct 2026, 01:28 | 7,473 | -64 |
| 12 Oct 2026, 17:50 | 7,537 | -39 |
| 6 Oct 2026, 07:56 | 7,576 | -102 |
| 29 Sept 2026, 06:39 | 7,678 | -202 |
| 19 Sept 2026, 02:59 | 7,880 | -184 |
| 14 Sept 2026, 15:19 | 8,064 | -151 |
| 11 Sept 2026, 07:56 | 8,215 | -188 |
| 6 Sept 2026, 08:38 | 8,403 | -175 |
| 2 Sept 2026, 07:08 | 8,578 | -90 |
| 30 Aug 2026, 05:23 | 8,668 | -231 |
| 26 Aug 2026, 20:04 | 8,899 | -148 |
| 24 Aug 2026, 00:12 | 9,047 | -228 |
| 20 Aug 2026, 14:53 | 9,275 | first reading |
Engagement
12 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 40 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 47.6%
- avg views ÷ 7,395 subscribers
- Avg views / post
- 3,520
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 12 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.
| Window | Rolling 30 days · latest post in window 20 October 2026 |
|---|---|
| Posts held | 12 (20 May 2026 – 20 October 2026) |
| Views total | 7,040 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 13:06 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
- 271
- Videos
- 2
- Links
- 16
Lifetime counters from Telegram’s own channel header, read 7 November 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
- 16m 11s
- Average length
- 16m 11s
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
9 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 55.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 5 | 55.6% | |
| 👎 | 4 | 44.4% |
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 12 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 20 May 2026 to 20 October 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: 0 of 2 posts held from the last 30 days (0%) 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).
⚠️ 注意防骗,谨防冒充 上榜联系管理机器人 @szguanli_bot 广告联系广告机器人 @szguanggao_bot
被骗500(差点被骗2700) ⚠️没有上榜的都是骗子 ⚠️主动私聊的都是骗子
👍2
@xiaoya520520520 骗子号 骗了4000说到了给现金,到了直接删除了 群友反馈 换人诈骗 tg号容易被盗,也存在卖号的现象 切记不要提前付款,注意防骗
👎4
机器人不会主动私聊任何人,谨防上当受骗。如有问题联系 @szguanli_bot
Telegram 常见骗局避坑
👍1
⚠️ tg号容易被盗,也存在卖号的现象,久远的上榜资源很有可能换人。 切记不要提前付款,注意防骗!
#sz427 @jiamin123666888(骗子号) https://t.me/szbeifen/3741 https://t.me/gongkaisuz/8992 群友反馈 换人诈骗 tg号容易被盗,也存在卖号的现象 切记不要提前付款,注意防骗
依依/盼盼/kt猫 艺名多换注意防范 @ktmao520 ⚠️:因服务差评,同时威胁多个狼友,以监控偷拍自爆,情绪极端不稳定且过于危险!!! 群友反馈 :原在杭州开课,现爆雷,销声匿迹,可能全国各地游击战,望全国广大狼友避雷
👍2
各位CJ前注意看下榜单信息,很多信息失效或者换人。 骗子话术就那些,不要付定金,没见到人不要付课费。 没事多看看黑榜,多了解下群友被骗经历!
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https://t.me/szbeifen/9491 难怪公开榜她得了那么多👎
Showing the 12 most recent of 12 posts we hold for @heichesz. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@heichesz named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 5 posts, 8 August 2026 – 20 August 2026
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“苏州黑车频道” (@heichesz), 7,395 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/heichesz.
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.