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Telegram profile photo for 宝安&长安&光明❤️修车资源

Channel

宝安&长安&光明❤️修车资源

@banhche

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

8,678subscribers

-1,727 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-1001871190860
TypeChannel
Username@banhche
Description上榜联系: @CN3456 私聊不了联系双向机器人: @CN6789BOT 深圳修车资源榜 https://t.me/LM8969 深圳学生会 https://t.me/SZXSH8 一键快速进深圳所有群 https://t.me/addlist/jxLTSzufnjIwNDE1
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held42
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/banhche

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 8 other registered channels. This entry also sits inside a group of 15 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@banhche/2538 · this entry7 Aug 2026, 05:44 UTC@DiDiuwoo/62377 Aug 2026, 05:44 UTC1.00under a minute
@DiDiuwoo/626411 Aug 2026, 09:20 UTC@banhche/2559 · this entry11 Aug 2026, 09:21 UTC1.00under a minute
@DiDiuwoo/627812 Aug 2026, 06:38 UTC@banhche/2563 · this entry12 Aug 2026, 06:39 UTC1.00under a minute
@DiDiuwoo/630714 Aug 2026, 07:02 UTC@banhche/2580 · this entry14 Aug 2026, 07:03 UTC1.00under a minute
@DiDiuwoo/631315 Aug 2026, 08:09 UTC@banhche/2591 · this entry15 Aug 2026, 08:09 UTC1.00under a minute
@DiDiuwoo/633721 Aug 2026, 08:07 UTC@banhche/2595 · this entry21 Aug 2026, 08:07 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@DiDiuwoo11 (8/8 hand-verifiable sample passed)1.00under a minute@DiDiuwoo (9–2)
@njiusdbd8 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (7–1)
@szgkbang8 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (5–3)
@myao1707 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (5–2)
@lhhaoche5 (5/5 hand-verifiable sample passed)1.00under a minute@lhhaoche (5–0)
@nshaoche5 (5/5 hand-verifiable sample passed)1.00under a minute@nshaoche (4–1)
@xcrgz5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (4–1)
@shwwen6665 (5/5 hand-verifiable sample passed)1.0072 secondsthis entry (3–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 27 of the 27 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 23 comparable posts for this entry, running 4 August 2026 to 7 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 15 channels, the one whose matching posts we hold earliest is @lhhche. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 15 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,67810,4059,541.57 August 2026 — 10,405 subscribers8 August 2026 — 10,393 subscribers9 August 2026 — 10,310 subscribers10 August 2026 — 10,298 subscribers11 August 2026 — 10,293 subscribers12 August 2026 — 10,286 subscribers13 August 2026 — 10,274 subscribers15 August 2026 — 10,280 subscribers16 August 2026 — 10,276 subscribers17 August 2026 — 10,292 subscribers18 August 2026 — 10,283 subscribers19 August 2026 — 10,282 subscribers20 August 2026 — 10,271 subscribers21 August 2026 — 10,270 subscribers23 August 2026 — 10,336 subscribers24 August 2026 — 10,311 subscribers25 August 2026 — 10,284 subscribers26 August 2026 — 10,268 subscribers27 August 2026 — 10,270 subscribers28 August 2026 — 10,207 subscribers29 August 2026 — 10,172 subscribers30 August 2026 — 10,147 subscribers31 August 2026 — 10,139 subscribers1 September 2026 — 10,121 subscribers2 September 2026 — 10,107 subscribers3 September 2026 — 10,076 subscribers5 September 2026 — 10,027 subscribers9 September 2026 — 9,952 subscribers13 September 2026 — 9,818 subscribers17 September 2026 — 9,704 subscribers27 September 2026 — 9,412 subscribers5 October 2026 — 9,276 subscribers12 October 2026 — 9,220 subscribers15 October 2026 — 9,148 subscribers17 October 2026 — 9,106 subscribers20 October 2026 — 9,067 subscribers23 October 2026 — 9,019 subscribers26 October 2026 — 8,920 subscribers30 October 2026 — 8,868 subscribers2 November 2026 — 8,789 subscribers5 November 2026 — 8,756 subscribers8 November 2026 — 8,678 subscribers7 August 20268 November 2026
42 measurements spanning 93 days, net -1,727. 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 8,419–10,664 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)SubscribersChange
8 Nov 2026, 21:468,678-78
5 Nov 2026, 14:428,756-33
2 Nov 2026, 06:588,789-79
30 Oct 2026, 01:518,868-52
26 Oct 2026, 22:278,920-99
23 Oct 2026, 15:199,019-48
20 Oct 2026, 15:469,067-39
17 Oct 2026, 15:459,106-42
15 Oct 2026, 02:009,148-72
12 Oct 2026, 05:199,220-56
5 Oct 2026, 15:569,276-136
27 Sept 2026, 14:419,412-292
17 Sept 2026, 23:549,704-114
13 Sept 2026, 10:379,818-134
9 Sept 2026, 07:379,952-75
5 Sept 2026, 23:3510,027-49
3 Sept 2026, 20:4110,076-31
2 Sept 2026, 14:5310,107-14
1 Sept 2026, 13:5310,121-18
31 Aug 2026, 16:2710,139first reading

Engagement

23 posts held, back to 4 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.06%
avg views ÷ 8,678 subscribers
Avg views / post
265
7 posts measured
Reaction rate
0.419%
reactions ÷ views · ER floor
Posts in window
7
of 23 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 3 of 7 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 7 November 2026
Posts held23 (4 August 2026 – 7 November 2026)
Views total1,858
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 13:00 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
297
Videos
13
Links
68

Lifetime counters from Telegram’s own channel header, read 12 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
47s
Average length
9s

Measured directly from 5 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

8 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 87.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤787.5%
😇112.5%

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 8 of the 23 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 4 August 2026 to 7 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 7 posts held from the last 30 days (28.6%) 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).

7 Nov 2026, 12:47 UTC221 views1 reactionsread 12 November 2026
Photo

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❤1

7 Nov 2026, 12:33 UTC217 viewsread 12 November 2026
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4 Nov 2026, 10:03 UTC355 views2 reactionsread 12 November 2026
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🧩榜单番号 223-22992 坂田小琳泰国古法半裸抓龙筋 全身精油SPA,会阴穴点拨,前列腺高潮,情趣丝足龟责诱惑,女友情趣调情,胸推,臀疗,龟头责,强制高潮,脱敏疗法,三起三落,体验不一样的爽感,头皮酥麻求饶的感觉,酥麻反复高潮。 课表价格:598-798 私聊: @qazfang QQ: 1537353641 频道中转站: https://t.me/+lzE0J3nR-00zMDI1 双向机器人: @ymffjw123_bot 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

❤2

2 Nov 2026, 11:17 UTC389 viewsread 12 November 2026
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🧩榜单番号 1102-4423 深圳光明新区小圆 👠身高:165 ❤️体重:99 🐻胸围:34 c 年龄23 课时费: 600一课 1200二课 下午茶3小时1800 个人私聊 @iiippuuu 机器人 @Yyffddfuubot 频道 https://t.me/chfy0586 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

2 Nov 2026, 11:10 UTC378 views1 reactionsread 12 November 2026
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🧩榜单番号 1104-1144 宝安娇娇 92/399 50分钟 95/499 60分钟 私信 : @JJ13143344 机器人:@JJ1314520bot 频道 :https://t.me/JJ520789 标签(点蓝字查看更多): 👉宝安 西乡 👉69 👉巨乳C🐻 👉毒龙 👉口爆 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

❤1

2 Nov 2026, 08:31 UTC199 viewsread 7 November 2026
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2 Nov 2026, 06:16 UTC99 viewsread 4 November 2026
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🧩榜单番号 223-22992 坂田小琳泰国古法半裸抓龙筋 全身精油SPA,会阴穴点拨,前列腺高潮,情趣丝足龟责诱惑,女友情趣调情,胸推,臀疗,龟头责,强制高潮,脱敏疗法,三起三落,体验不一样的爽感,头皮酥麻求饶的感觉,酥麻反复高潮。 课表价格:598-798 私聊: @qazfang QQ: 1537353641 频道中转站: https://t.me/+lzE0J3nR-00zMDI1 双向机器人: @ymffjw123_bot 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

28 Aug 2026, 05:37 UTC48 viewsread 29 August 2026
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🧩榜单番号 112-3199994 #95口爆(海选 会所)😂😀😀😀 📱📱📱📱口爆SPA会所覆盖全深圳区(无套口出)📱📱📱📱 🐨#罗湖 🐨#福田 🐨#宝安 🐨#龙岗 🐨#南山🐨 #龙华 数30+位妹妹上班,御姐,巨乳,萝莉,小骚货各种类型都有,配合度高,主动开放热情,到点海选不满意可换到满意为止听话乖巧 😛套餐:预约价538-598(全裸口一次)60分钟 😝套餐:预约价568-658(全裸口一手一)70分钟 😜套餐:预约价800-888(全裸魔棒口2次)80分钟 🤪套餐:预约价 1000-1180(双飞或加钟全裸口出2次) 😀😀😀😀组团优惠更多( 30-150 ) 😀😀😀😀 📱📱#94丝足(主打00后嫩妹)📱📱 😀😀丝足会所覆盖全深圳区域 😀😀 😀😀😀😀服务内容😀😀😀😀 🐻🐻前段【20分钟】:特色变装躺采,头疗放松,十指弹琴,舌尖漫游,蛇绕全身,耳语调情 🐻🐻中段【30分钟…

23 Aug 2026, 09:48 UTC173 views1 reactionsread 29 August 2026
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🧩榜单番号 0823-1162 宝安西乡 秋秋 94/400 95/500 双飞口爆/1000 私信 : @zdy704 机器人:@zdy704bot 频道:https://t.me/zdy704112 标签(点蓝字查看更多): 👉宝安 👉69 👉巨乳D🐻 👉毒龙 👉口爆 ✅个人私约已验证,放心出击 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

❤1

22 Aug 2026, 12:16 UTC202 viewsread 29 August 2026
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🧩榜单番号 0822-22884 小凤抓龙筋 项目一:599元60分钟 泰式全身按摩放松,古法抓龙筋,双蛋疗法, 三角区排淋巴, 酥麻脱敏训练, 龟头责宗筋疗法,激情甜蜜释放。 项目二:699元70分钟 加强版抓龙筋, 三起三落, 前列腺高潮, 丝足龟头责, 酥麻脱敏训练, 增长增粗秘笈延:延时手法,臀部SPA,环游过水鼻吸指滑,贴身柔式半裸调情,丝足快感激情释放 项目三:799元80分钟 泰式全身按摩、前列腺高潮、帝王级抓龙筋,改善.疲软.早泄.时短,增长增粗,延时脱敏,半裸胸推激情漫游,丝袜美腿足交、🐻👋足激情无限释放。 尚🚪899起,尚🚪需要先付来回车费 个人工作室 干净卫生 交通便利 停车方便 私聊: @tag8388 频道: https://t.me/+RWobN5uO7EJiMjU1 Q Q:3639469436

21 Aug 2026, 08:07 UTC≈1,220 views1 reactionsread 29 August 2026
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#深圳会所 #深圳按摩SPA #深圳抓龙筋 深圳独家【全新体验】半裸♥️顶级SPA +热石私享沉浸式抓龙筋,“细腻深处直达云顶之上,余音袅袅身心共振享受非凡” 纯口碑,不偷一分钟,时间内无限次释放:胸推,臀疗,龟头责边缘控制,强制高潮,脱敏疗法,三起三落,体验不一样的爽感,头皮酥麻虐恋求饶的感觉,反复高潮,长达5-10分钟。 【私享A课】体验价700/80分钟 【私享B课】体验价900/90分钟 可胸、可手、可足多重释放 位置:#南山 #福田 #宝安 #龙华 #罗湖 ​私聊: @sznsmmspa 频道:https://t.me/szhyzlj 机器人: @hyzlj520bot 🐧QQ:3760728326或3815746522 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

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15 Aug 2026, 08:09 UTC370 viewsread 29 August 2026
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🧩榜单番号 0124-22992 宝安-璐璐-抓龙筋收费表 项目一:599元60分钟 项目二:699元70分钟 项目三:799元80分钟 尚🚪899起 标签(点蓝字查看更多): 👉宝安 👉抓龙筋 ✅已验证,放心出击 私聊: @fjw13688 频道: https://t.me/lulu23688 双向机器人:@lulujw_bot 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

Showing the 12 most recent of 23 posts we hold for @banhche. 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

@banhche edited 3 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
21 August 2026
Most recent edit
4 November 2026

Mentions

Named by 10 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“宝安&长安&光明❤️修车资源” (@banhche), 8,678 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/banhche.

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.