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Telegram profile photo for 帝豪小林|苹果ID贷|888靓号礼物抵押|兑换🌍秒下款官方频道

Channel

帝豪小林|苹果ID贷|888靓号礼物抵押|兑换🌍秒下款官方频道

@chuma8

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

98,049subscribers

-21,915 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002897990629
TypeChannel
Usernames@chuma8 @pvvvj
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 October 2026
Measurements held75
Confirmed unchanged1 time, most recently 14 October 2026
On Telegramt.me/chuma8

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 76% 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

98,049119,964109,006.57 August 202614 October 2026
75 measurements spanning 68 days, net -21,915. 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 94,762–123,251 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 75
Measured (UTC)SubscribersChange
14 Oct 2026, 23:4598,049-19
14 Oct 2026, 11:0698,068-310
13 Oct 2026, 15:2898,378-47
12 Oct 2026, 20:2798,425-372
9 Oct 2026, 15:1998,797-109
8 Oct 2026, 07:0198,906-336
5 Oct 2026, 04:2199,242-110
3 Oct 2026, 20:5599,352-479
28 Sept 2026, 14:0099,831-366
25 Sept 2026, 02:18100,197-1,387
17 Sept 2026, 21:58101,584-70
17 Sept 2026, 10:15101,654-186
15 Sept 2026, 21:21101,840-25
15 Sept 2026, 11:58101,865-222
14 Sept 2026, 02:57102,087-48
13 Sept 2026, 21:17102,135-229
12 Sept 2026, 08:58102,364-17
12 Sept 2026, 05:56102,381-499
10 Sept 2026, 07:00102,880-175
9 Sept 2026, 20:19103,055first reading

Engagement

188 posts held, back to 30 July 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 139 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.75%
avg views ÷ 98,049 subscribers
Avg views / post
1,720
87 posts measured
Reaction rate
63.7%
reactions ÷ views · ER floor
Posts in window
87
of 188 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 86 of 87 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 14 October 2026
Posts held188 (30 July 2026 – 14 October 2026)
Views total149,645
Reactions total94,346
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Oct 2026, 13:34 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
58s
Average length
29s

Measured directly from 2 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

200,654 reactions across 183 posts, in 17 distinct kinds. The most used accounts for 11.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤22,88811.4%
🎉22,58811.3%
👍22,54411.2%
🔥22,48211.2%
😍22,03611.0%
💯21,92810.9%
❤‍🔥21,81410.9%
🤩21,75810.8%
🥰21,74310.8%
😁8180.408%
👏150.007%
👌130.006%
👎130.006%
🍌60.003%
💔50.002%
👀20.001%
💩10%

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 183 of the 188 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 200,654 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 188 most recent posts we hold, published 30 July 2026 to 14 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

14 Oct 2026, 09:12 UTC≈1,470 views1,002 reactionsread 14 October 2026
Photo

恭喜老铁吉隆坡成功兑换4000马币!马币🇨🇳,系统确认后5分钟内全额人民币(RMB)到账 支付宝/微信/现金💰。全程链上可查,资金来源干净合法。拒绝套路,拒绝等待,安全兑换认准我们

🔥127👍124🎉122💯114❤109🥰108😍104❤‍🔥97

Signed 帝豪小林 西港马来会所兑换(实体店担保)

14 Oct 2026, 06:44 UTC≈1,970 views1,003 reactionsread 14 October 2026
Photo

恭喜老铁吉隆坡成功兑换2000马币!马币🇨🇳,系统确认后5分钟内全额人民币(RMB)到账 支付宝/微信/现金💰。全程链上可查,资金来源干净合法。拒绝套路,拒绝等待,安全兑换认准我们

🔥125💯116❤‍🔥115👍113🥰113😍111🎉110🤩101

Signed 帝豪小林 西港马来会所兑换(实体店担保)

13 Oct 2026, 12:01 UTC≈1,250 views1,002 reactionsread 14 October 2026
Photo

【小林金融】苹果 ID 贷 | 您的专属移动备用金 📱 手头紧、急用钱?无需抵押,无需面签,有 iPhone 就能贷! 【小林金融】助您轻松解决燃眉之急,全流程线上办理,最快 10 分钟下款,不影响手机正常使用! ✨ 我们的优势: 🔒 安全保密:严格保护个人隐私,无痕借贷。 ⚡ 极速审批:手续简单,下款快人一步。 🌐 多币种支持:全球结算无障碍! 👉 支持:ABA 银行转账 | USDT (加密货币) | 人民币 (CNY) | 马币 (MYR) 无论您身在何处,小林金融随时为您提供最便捷的资金支持。欢迎滴滴咨询,尊享一对一专业服务!@xiaolinjinrong08

😍121❤120🎉118🥰117💯110🔥109❤‍🔥102👍102

Signed 帝豪小林 西港马来会所兑换(实体店担保)

12 Oct 2026, 23:43 UTC≈1,900 views1,014 reactionsread 14 October 2026
Photo

【小林金融】苹果 ID 贷 | 您的专属移动备用金 📱 手头紧、急用钱?无需抵押,无需面签,有 iPhone 就能贷! 【小林金融】助您轻松解决燃眉之急,全流程线上办理,最快 10 分钟下款,不影响手机正常使用! ✨ 我们的优势: 🔒 安全保密:严格保护个人隐私,无痕借贷。 ⚡ 极速审批:手续简单,下款快人一步。 🌐 多币种支持:全球结算无障碍! 👉 支持:ABA 银行转账 | USDT (加密货币) | 人民币 (CNY) | 马币 (MYR) 无论您身在何处,小林金融随时为您提供最便捷的资金支持。欢迎滴滴咨询,尊享一对一专业服务!@xiaolinjinrong08

😍127❤122👍115🥰114❤‍🔥110💯110🤩110🎉109

Signed 帝豪小林 西港马来会所兑换(实体店担保)

12 Oct 2026, 17:33 UTC≈1,420 views1,001 reactionsread 14 October 2026
Photo

恭喜老铁吉隆坡成功兑换1313马币!马币🇨🇳,系统确认后5分钟内全额人民币(RMB)到账 支付宝/微信/现金💰。全程链上可查,资金来源干净合法。拒绝套路,拒绝等待,安全兑换认准我们

❤127👍121❤‍🔥117🔥113😍111🎉106🤩103💯102

Signed 帝豪小林 西港马来会所兑换(实体店担保)

12 Oct 2026, 15:36 UTC≈2,010 views1,001 reactionsread 14 October 2026
Photo

恭喜老铁成功兑换13140人民币!人民币🇨🇳,系统确认后5分钟内全额人民币(RMB)到账 支付宝/微信/现金💰。全程链上可查,资金来源干净合法。拒绝套路,拒绝等待,安全兑换认准我们

❤‍🔥130❤124🥰120😍112🤩111👍108🎉105💯105

Signed 帝豪小林 西港马来会所兑换(实体店担保)

12 Oct 2026, 15:34 UTC≈1,200 views1,002 reactionsread 14 October 2026
Photo

恭喜老铁成功兑换10512人民币!人民币🇨🇳,系统确认后5分钟内全额人民币(RMB)到账 支付宝/微信/现金💰。全程链上可查,资金来源干净合法。拒绝套路,拒绝等待,安全兑换认准我们

😍125👍122🎉117❤‍🔥115🔥115🥰108❤103🤩101

Signed 帝豪小林 西港马来会所兑换(实体店担保)

12 Oct 2026, 15:03 UTC≈1,940 views1,001 reactionsread 14 October 2026
Photo

恭喜老铁成功兑换20000人民币!人民币🇨🇳,系统确认后5分钟内全额人民币(RMB)到账 支付宝/微信/现金💰。全程链上可查,资金来源干净合法。拒绝套路,拒绝等待,安全兑换认准我们

❤119❤‍🔥118🎉110🔥110🥰110😍110👍109🤩108

Signed 帝豪小林 西港马来会所兑换(实体店担保)

12 Oct 2026, 14:54 UTC≈1,210 views1,001 reactionsread 14 October 2026
Photo

恭喜老铁成功兑换9855人民币!人民币🇨🇳,系统确认后5分钟内全额人民币(RMB)到账 支付宝/微信/现金💰。全程链上可查,资金来源干净合法。拒绝套路,拒绝等待,安全兑换认准我们

🔥119😍118💯114🎉113👍112🤩108❤107🥰107

Signed 帝豪小林 西港马来会所兑换(实体店担保)

12 Oct 2026, 12:45 UTC≈1,100 views1,002 reactionsread 14 October 2026
Photo

“懂你的野心,也懂你的小心翼翼。小林金融手机贷,专为认真生活的你而来!低门槛,不看信征信,最快 1 分钟告别‘手头紧’。不用向任何人开口,你的生活底气,小林金融帮你撑腰。一键申请,让向往的生活不必死等!”介绍就送人贷款18.88美金💵 24小时在线客服 💁@xiaolinjinrong08

🥰131🤩118❤117🎉116💯112😍109❤‍🔥104👍99

Signed 帝豪小林 西港马来会所兑换(实体店担保)

12 Oct 2026, 03:07 UTC≈1,470 views1,002 reactionsread 14 October 2026
Photo

“懂你的野心,也懂你的小心翼翼。小林金融手机贷,专为认真生活的你而来!低门槛,不看信征信,最快 1 分钟告别‘手头紧’。不用向任何人开口,你的生活底气,小林金融帮你撑腰。一键申请,让向往的生活不必死等!”介绍就送人贷款18.88美金💵 24小时在线客服 💁@xiaolinjinrong08

😍129🎉115💯114🔥112❤‍🔥109❤108👍108🥰104

Signed 帝豪小林 西港马来会所兑换(实体店担保)

11 Oct 2026, 17:44 UTC≈1,180 views1,001 reactionsread 14 October 2026
Photo

恭喜老铁吉隆坡成功兑换875马币!马币🇨🇳,系统确认后5分钟内全额人民币(RMB)到账 支付宝/微信/现金💰。全程链上可查,资金来源干净合法。拒绝套路,拒绝等待,安全兑换认准我们

😍123❤‍🔥122🥰118🎉116❤112💯110🤩103🔥102

Signed 帝豪小林 西港马来会所兑换(实体店担保)

Showing the 12 most recent of 188 posts we hold for @chuma8. 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.

Mentions

Named by 2 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.

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.

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 14 October 2026 — this entry's latest reading, not the date you are reading this.

“帝豪小林|苹果ID贷|888靓号礼物抵押|兑换🌍秒下款官方频道” (@chuma8), 98,049 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/chuma8.

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.