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Channel

电报账号 出售

@zerox_012

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

1,184subscribers

+159 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003577020632
TypeChannel
Username@zerox_012
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live28 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/zerox_012

Growth

9811,2041,092.59 August 2026 — 1,025 subscribers9 August 2026 — 1,025 subscribers12 August 2026 — 981 subscribers19 August 2026 — 1,204 subscribers22 August 2026 — 1,203 subscribers25 August 2026 — 1,201 subscribers28 August 2026 — 1,184 subscribers1,1849 August 202628 August 2026
7 measurements spanning 19 days, net +159. 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 948–1,237 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 21:361,184-17
25 Aug 2026, 19:041,201-2
22 Aug 2026, 20:061,203-1
19 Aug 2026, 20:521,204+223
12 Aug 2026, 09:03981-44
9 Aug 2026, 15:211,025no change
9 Aug 2026, 10:171,025first reading

Engagement

20 posts held, back to 14 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
70.3%
avg views ÷ 1,184 subscribers
Avg views / post
833
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 20 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 8 August 2026
Posts held20 (14 June 20268 August 2026)
Views total3,330
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 10:17 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

3 Aug 2026, 12:58 UTC960 viewsread 9 August 2026

⚠️全球账号资源|长期稳定供应⚠️ ⚠️ 支持多个国家/地区 ⚠️ 提供 JSON Session ⚠️ 高质量账号资源 ⚠️ 快速交付,长期合作 ⚠️ 欢迎批发与长期客户咨询 Spam available ➡️ +57+992+95+1+91 Non spam ➡️ +82+971+967+964+55+54+33+31+34+48+45+58+57+998+233+254+39+49+52+505+56+595+1+95+234+91+96+63+65+84+855+79+77 100+ country available 💯✔️ ✉️ 联系:@Zerox_T ⭐️

1 Aug 2026, 07:30 UTC≈1,140 viewsread 9 August 2026

❤️‍🔥TODAY BIG STOCK ❤️‍🔥 ⚠️ Account Quality | 账号品质 ✅ Fresh Accounts|全新账号 ✅ Aged Accounts|老号资源 ✅ Spam Accounts|Spam账号 ✅ Non-Spam Accounts|非Spam账号 ✅ Login Ready|登录即用 ✅ Session Available|支持 Session ✅ High Quality|高质量账号 ✅ Stable & Secure|稳定安全 ✅ Bulk Stock Available|大量现货 ✅ Fast Delivery|极速交付 🔤🔤🔤🔤❓ 🇺🇸 USA • 🇬🇧 UK • 🇨🇦 Canada • 🇦🇺 Australia • 🇩🇪 Germany • 🇫🇷 France • 🇳🇱 Netherlands • 🇮🇹 Italy • 🇪🇸 Spain • 🇵🇱 Poland • 🇹🇷

31 Jul 2026, 18:40 UTC≈1,190 viewsread 9 August 2026
Photo

电报账号📱 高级账号供应(Premium Account Supply)📱 ✅ Good quality ➡️+82+84+86+79+77+998+98+41+964+1+92+91+62+63+61+55+52+48+49+45+47+32+33+31+34+39+222+254+251+507+595+591+996+91+92+52+55+216+222+81+593+255+54+61+233+254+256+94+852+855+57💯🛍 ✅ Spam ➡️ +95+91+992+57+1+880 ✅ 全新账号 (Fresh Accounts) ✅ 老号资源 (Aged Accounts) ✅ 登录即用 (Login Ready) ✅ 双重验证 (2FA Available) ✅ 快速交付 (Fast Delivery) ✅ 安全可靠 (Safe & Trusted) ✅100+ 国家可用(100

31 Jul 2026, 15:04 UTC949 viewsread 9 August 2026
Forwarded from @zerox_T888

⚠️ 全球账号资源|长期稳定供应 ⚠️ ⚠️ 支持多个国家/地区 ⚠️ 提供 JSON Session ⚠️ 高质量账号资源 ⚠️ 快速交付,长期合作 ⚠️ 欢迎批发与长期客户咨询 ✉️ 联系:@Zerox_T ⭐️

30 Jul 2026, 12:24 UTC≈1,430 viewsread 9 August 2026

早上好。✅ ⚠️高质量 Telegram 账号出售 ⚠️ 我们提供各种类型的 Telegram 账号,库存充足,质量稳定。⚠️⚠️⚠️ +233+256+236+82+81+84+86+886+998+98+95+93+92+91+79+77+63+65+62+61+60+509+506+593+591+55+54+52+51+49+48+47+46+45+44+39+34+33+31+222+234+213+216+1 +1 real card ♥️ Spam available ➡️ +95+91+1+57+84 ⚠️⚠️ TG 会话 josson。 我有很多国家的 TG 账号,如果您需要,请联系我 ⚡️ 我的账号如有任何垃圾邮件或冻结问题,我会退款 💯 ➡️ @zerox_T ⭐️

28 Jul 2026, 18:54 UTC≈1,500 viewsread 9 August 2026
Photo

欢迎来到我的频道或群组 我有很多国家的账号。📣 形成的 > 会议 … 贾森 ... 特德塔 +91 印度 🇮🇳 +92 巴基斯坦 🇵🇰 +977 尼泊尔 🇳🇵 +94 斯里兰卡 🇱🇰 +975 不丹 🇧🇹 +960 马尔代夫 🇲🇻 +93 阿富汗 🇦🇫 +1 美国 🇺🇸 +1 加拿大 🇨🇦 +52 墨西哥 🇲🇽 +55 巴西 🇧🇷 +54 阿根廷 🇦🇷 +56 智利 🇨🇱 +57 哥伦比亚 🇨🇴 +51 秘鲁 🇵🇪 +58 委内瑞拉 🇻🇪 +44 英国 🇬🇧 +33 法国 🇫🇷 +49 德国 🇩🇪 +39 意大利 🇮🇹 +34 西班牙 🇪🇸 +351 葡萄牙 🇵🇹 +31 荷兰 🇳🇱 +32 比利时 🇧🇪 +41 瑞士 🇨🇭 +43 奥地利 🇦🇹 +46 瑞典 🇸🇪 +47 挪威 🇳🇴 +358 芬兰 🇫🇮 +45 丹麦 🇩🇰 +48 波兰 🇵🇱 +420 捷克 🇨🇿 +30 希腊 🇬🇷 +36 匈牙利 🇭🇺 +40 罗马

27 Jul 2026, 18:44 UTC≈1,620 viewsread 9 August 2026

If any of you want to work with my group members, please let me know, I will help you. 🛡 ___ 如果你们当中有谁想和我的小组成员一起工作,请告诉我,我会帮助你们。✅ ✉️ @zerox_T ⭐️📞

27 Jul 2026, 09:23 UTC≈1,600 viewsread 9 August 2026

All scmmer proof on this chennel https://t.me/scmmerlist_888

26 Jul 2026, 06:29 UTC≈1,570 viewsread 9 August 2026

+95 - 1000 Spam account need 🕞 ➡️ @zerox_T ⭐️

Showing the 12 most recent of 20 posts we hold for @zerox_012. 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.

Citation-graph rank

Citation-graph rank — 914,667 of 1,627,068entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“电报账号 出售” (@zerox_012), 1,184 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/zerox_012.

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.