Channel
@DNSPODT
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
72,312subscribers
+1,720 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001320622866 |
|---|---|
| Type | Channel |
| Username | @DNSPODT |
| Description | LoopDNS 综合资讯---简洁，及时，快速，准确 频道: @DNSPODT 电报讨论组: @LoopDNS 撤稿流程: https://t.me/loopdns/107752 |
| Created | 13 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/DNSPODT |
Technology — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 55% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 05:54 | 72,312 | +248 |
| 25 Sept 2026, 09:56 | 72,064 | +208 |
| 18 Sept 2026, 23:37 | 71,856 | +25 |
| 16 Sept 2026, 17:37 | 71,831 | +86 |
| 14 Sept 2026, 19:17 | 71,745 | +85 |
| 13 Sept 2026, 08:56 | 71,660 | +83 |
| 11 Sept 2026, 09:36 | 71,577 | +120 |
| 8 Sept 2026, 12:17 | 71,457 | +44 |
| 5 Sept 2026, 05:39 | 71,413 | +45 |
| 3 Sept 2026, 10:46 | 71,368 | +2 |
| 2 Sept 2026, 01:56 | 71,366 | +17 |
| 1 Sept 2026, 05:16 | 71,349 | +6 |
| 31 Aug 2026, 02:56 | 71,343 | +61 |
| 29 Aug 2026, 23:23 | 71,282 | +3 |
| 29 Aug 2026, 00:34 | 71,279 | +34 |
| 27 Aug 2026, 22:17 | 71,245 | +18 |
| 26 Aug 2026, 19:28 | 71,227 | +35 |
| 25 Aug 2026, 20:02 | 71,192 | +5 |
| 24 Aug 2026, 21:14 | 71,187 | +6 |
| 23 Aug 2026, 09:36 | 71,181 | first reading |
374 posts held, back to 3 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 129 pages of Telegram’s post history, 20 posts per page.
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 6 October 2026 |
|---|---|
| Posts held | 374 (3 August 2026 – 6 October 2026) |
| Views total | 1,224,320 |
| Reactions total | 15,276 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Oct 2026, 15:32 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.
Lifetime counters from Telegram’s own channel header, read 6 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 24 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.
34,787 reactions across 362 posts, in 57 distinct kinds. The most used accounts for 18.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 6,422 | 18.5% | |
| 🤡 | 5,889 | 16.9% | |
| 👍 | 3,982 | 11.4% | |
| 🤣 | 2,841 | 8.17% | |
| 💩 | 2,532 | 7.28% | |
| 🙏 | 1,136 | 3.27% | |
| ❤ | 1,103 | 3.17% | |
| 🖕 | 947 | 2.72% | |
| 👎 | 910 | 2.62% | |
| 🤮 | 794 | 2.28% | |
| 🍾 | 703 | 2.02% | |
| 🤯 | 690 | 1.98% | |
| 🎉 | 651 | 1.87% | |
| 😱 | 610 | 1.75% | |
| 🐳 | 585 | 1.68% | |
| 🥰 | 582 | 1.67% | |
| 💊 | 402 | 1.16% | |
| 😨 | 382 | 1.10% | |
| 🔥 | 331 | 0.952% | |
| 👀 | 319 | 0.917% | |
| 37 further kinds | 2,976 | 8.55% |
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 373 of the 374 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 35,697 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 374 most recent posts we hold, published 3 August 2026 to 6 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @DNSPODT. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 374 most recent posts we hold for this entry, published 3 August 2026 to 6 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
维基媒体基金会指控OpenAI违规AI Agent未经授权编辑维基百科 维基媒体基金会（Wikimedia Foundation）近日发布报告，指出由OpenAI运营的AI Agent在未获批准的情况下，擅自对维基百科进行了多次未经授权的编辑，并可能与2026年5月的服务中断事件有关。调查显示，这些违规程序在沙盒测试区进行了大量测试性编辑，试图通过修改配置对公共引用工具实施恶意操作，并发送了数以百万计的自动化API请求与数据查询。维基媒体首席产品与技术官塞莱娜·戴克尔曼（Selena Deckelmann）表示，人工智能公司尚未采取充分措施约束其系统，致使非营利组织及社会公众承担了额外的安全与运维负担。 来源：BleepingComputer
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香港构建黄金交易中心 助推人民币国际化 中国正大力囤积黄金，其背后有着更大的目标——人民币国际化。上海负责合约定价，香港负责离岸金库保管，构建一条以黄金为支撑的货币国际化路径。 在这一新架构中，上海负责黄金的定价与清算，香港则凭借自由的资本流动与健全的法律体系，提供离岸金库存储及实物交割服务。这一“上海-香港”双中心模式允许贸易伙伴将持有的离岸人民币直接在香港兑换为实物黄金，从而显著增强全球特别是“全球南方”国家持有人民币资产的信心，为人民币国际化提供坚实的实物资产支撑。 来源：南华早报
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野村研报20261002：访谈税务专家，倒查欠税已是税务执法的重中之重
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月之暗面据悉完成IPO前融资 最新估值约500亿美元 据知情人士透露，月之暗面已经完成最后一轮私募融资，估值约500亿美元，并正推进明年第一季度在香港进行首次公开募股（IPO）。消息人士称，该公司也已开始为了解投资者意向做准备，最快本月起与投资者进行初步会谈。知情人士称，讨论仍在进行中，IPO的时间也可能变动。 来源：彭博社
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【NewsNation 附文稿】俄罗斯鼠疫研究所一女技术员打碎肺鼠疫试管后病亡 外界担忧鼠疫泄露或已扩散至俄国外 [中英-英-生肉] @纯正英语原声30秒: 达莉亚・希皮洛娃 Darya Shipilova，28 岁，实验室助理技术员 地点：俄罗斯西伯利亚伊尔库茨克州谢列霍夫市，西伯利亚与远东伊尔库茨克抗鼠疫研究所（专门研究鼠疫这类高危病原体） 时间线 9 月 25 日：她在操作活体样本时，不慎打碎装有鼠疫杆菌（Yersinia pestis）的试管。 之后几天，她开始出现重症肺炎症状。 9 月 29 日：送入舍列霍夫医院，上呼吸机救治；医生一开始怀疑是新冠。 10 月 2 日凌晨：抢救无效死亡，媒体报道怀疑为肺鼠疫；俄罗斯联邦卫生监管部门（Rospotrebnadzor）尚未正式确认死因，布里亚特共和国负责人称死者大概率死于鼠疫。 事发后：近 200 名密切接触者被隔离医学观察，部分人员住院；舍列霍夫当地医院实施检疫、暂停部分…
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中国中转站构建Anthropic灰产链 助力本土模型蒸馏 据报道，数以千计的中国中转站正通过未经授权的渠道，向国内人工智能实验室提供Anthropic公司旗下Claude大模型的访问权限。这一灰色产业链不仅违背了服务条款，更被国内AI机构用于“模型蒸馏”训练，即借助美国顶尖模型的输出来优化和提升本土AI性能。随着违规访问现象激增，Anthropic已加大封禁力度并严厉打击跨国中转站行为。然而，面对日益严格的监管与封锁，部分国内实验室开始转而利用海外壳公司及其他更为隐蔽的技术手段绕过审查，导致这场关于技术合规与风险防控的博弈持续升级。 来源：The Information
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彭博智库：中美人工智能性能差距大幅缩小 彭博智库（Bloomberg Intelligence）最新报告显示，随着 DeepSeek 等本土实验室的突破，中国顶级 AI 模型与美国对手的基准测试性能差距已从今年早些时候的 15% 缩小至创纪录的 3%。报告指出，研究人员针对国产硬件优化模型的能力不断提升，正对美国通过芯片出口限制维护技术领先地位的策略构成挑战。 然而，报告同时警告，中国 AI 产业的盈利前景仍面临严峻考验。由于国内市场存在严重的价格战与过度竞争，本土行业可能要到 2030 年才能实现整体盈利。要实现可持续发展，未来行业仍需经历价格理性化与市场洗牌。 来源：彭博社
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英国预计将跟随欧盟对中国电动汽车加征关税，以满足欧盟的一项关键要求。 来源：彭博社
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中国联通上线“eSIM 业务首次线上办理资格抽取”限时活动，抽中用户可使用 App 办理相关业务 来源：IT之家 / 中国联通
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富途与老虎期权涉“内幕交易”案转向和解 原告准备撤诉 针对此前多名交易者涉嫌利用监管消息提前买入富途控股和老虎证券期权获利的民事诉讼，原告美国做市商海纳国际与城堡证券于9月底告知纽约南区联邦法院，因正在与多名被告达成和解，将不再提交修改后的起诉书并准备撤回诉讼。 此前，法院因原告证据链不足且未能证明被告存在资产转移风险，拒绝了继续冻结相关账户近1亿美元资产的申请。随着多名被告提交交易记录澄清系跟随公开市场异常信号操作，且原告未能确认泄密源头及被告间联系，原告随后陆续对部分被告永久撤诉或保留重新起诉权撤诉。 来源：加美财经
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✖️ 中国政经事实ChinaFacts 看做跨市场的长周期比较的时候，pb是个相对更优的指标，它反映了几个问题：1. 一个国家/市场的资产创造收入能力的预期；2. 投资者从这些资产收入里获益能力的预期；3. 一国资产真实清算价值的预期。 A股H股与其他市场是从什么时候脱钩的？正是18-21年那段能载入史书的厉害我的国的历史片段。
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File, posted without a caption
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Showing the 12 most recent of 374 posts we hold for @DNSPODT. 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.
@DNSPODT edited 6 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 16 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 104 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“LoopDNS资讯播报” (@DNSPODT), 72,312 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/DNSPODT.
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.