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Channel

海外数据

@xl999995

On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry

21subscribers

+6 since we began measuring on 20 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003926812358
TypeChannel
Username@xl999995
Created5 September 2026 — measured — dated from the channel’s first post
First recorded20 October 2026
Last confirmed live6 November 2026
Measurements held4
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/xl999995

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 6 November 2026 and assigned it the closest of 31 fixed categories, at 100% 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

15211820 October 2026 — 15 subscribers21 October 2026 — 18 subscribers29 October 2026 — 20 subscribers6 November 2026 — 21 subscribers20 October 20266 November 2026
4 measurements spanning 17 days, net +6. 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 14–22 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Nov 2026, 08:5521+1
29 Oct 2026, 10:1820+2
21 Oct 2026, 12:2918+3
20 Oct 2026, 14:2215first reading

Engagement

10 posts held, back to 5 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
383.3%
avg views ÷ 21 subscribers
Avg views / post
80.5
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
of 10 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 15 October 2026
Posts held10 (5 September 2026 – 15 October 2026)
Views total161
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Oct 2026, 14:22 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.

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).

8 Oct 2026, 03:14 UTC92 viewsread 20 October 2026

自有渗透手段 可过筛 专攻美国🇺🇸数据 🇺🇸股民料 🇺🇸精聊料 🇺🇸兼职料 🇺🇸空降料 🇺🇸维权料🇺🇸菠菜 适应行业任何打法 股民料源头直出🚀先起源料 维权料 资金盘 转卡类 一手精准📯 高准确 高转化 精准美国全类型料子❗️ ‼️‼️‼️‼️‼️‼️‼️‼️‼️‼️

10 Sept 2026, 11:02 UTC94 viewsread 20 October 2026

😀海外数据😀全球数据😀 😔全网独家😜全球不限😔 😛全行业出😜实时提取😛 ♥️数据筛选👨‍💼真实现跑♥️ 🏘 精准实时👨‍💼活跃数据🏘 💸 高消费 💸有钱人💸 📱telegram活跃数据、📱WhatsApp活跃数据 📱 twitter数据、📱Line数据、📱instagram数据 📱Facebook数据、📱zalo数据、📱skype数据、 指定app筛选ws、viber、zalo,line、momo、botim、skype、Signal、Snapchat、 IMO、fb,领英,苹果安卓等 😀😂😑😬🙃😙😞😗

6 Sept 2026, 14:09 UTC96 viewsread 20 October 2026

出美国股票数据🇺🇸 出美国股票数据🇺🇸 出美股🇺🇸🇺🇸🇺🇸 适应各种打粉方式 双向短信千3➕效果 ws群发百1.5效果

5 Sept 2026, 06:52 UTC95 viewsread 20 October 2026

—日更百万美股 ‼️及全球数据📍 数据类型:WS|TG|VB|zalo|line|FB|TK|RCS|IOS 💯 股票数据 ❤️‍🔥币圈数据 🔥兼职刷单 🔝 购物数据 🎙车主数据 💯房主数据 ❤️‍🔥 银行数据 💥 华侨数据 🔥高消费数据 🔝 领英数据 💥 精聊数据 🎙高净值数据 😊

5 Sept 2026, 06:51 UTC88 viewsread 20 October 2026
Photo

专攻美国各类数据,主营美国股票数据 美国快杀数据 美国精聊数据 适配 im 双向短信 云控 tg拉群 ws群发 可以适应各种打粉方式。 团队自研渗透技术 认准账号:@luo555551

Showing the 10 most recent of 10 posts we hold for @xl999995. 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 5 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“海外数据” (@xl999995), 21 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/xl999995.

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.