❤️暗网搜索:https://t.me/lingduliu/987
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Channel
@LDAPK
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
51,149subscribers
+8,499 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002845997879 |
|---|---|
| Type | Channel |
| Username | @LDAPK |
| Description | 零度分享社是你喜欢的福利破解软件大全!分享精品软件、绅士游戏、破解VPN等内容. 广告/投稿/反馈 @LDZYW |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 49 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/LDAPK |
Software piracy — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 |
|---|---|---|
| 25 Oct 2026, 17:06 | 51,149 | +261 |
| 24 Oct 2026, 16:35 | 50,888 | +128 |
| 23 Oct 2026, 19:51 | 50,760 | +140 |
| 22 Oct 2026, 22:36 | 50,620 | +109 |
| 21 Oct 2026, 19:38 | 50,511 | +105 |
| 20 Oct 2026, 12:39 | 50,406 | +88 |
| 19 Oct 2026, 16:06 | 50,318 | +171 |
| 18 Oct 2026, 13:45 | 50,147 | +202 |
| 17 Oct 2026, 14:16 | 49,945 | +226 |
| 16 Oct 2026, 13:30 | 49,719 | +138 |
| 15 Oct 2026, 15:15 | 49,581 | +104 |
| 14 Oct 2026, 14:05 | 49,477 | +222 |
| 13 Oct 2026, 02:20 | 49,255 | +639 |
| 8 Oct 2026, 18:39 | 48,616 | +613 |
| 4 Oct 2026, 09:58 | 48,003 | +1,015 |
| 25 Sept 2026, 20:21 | 46,988 | +589 |
| 19 Sept 2026, 03:00 | 46,399 | +189 |
| 16 Sept 2026, 18:57 | 46,210 | +224 |
| 14 Sept 2026, 23:36 | 45,986 | +195 |
| 13 Sept 2026, 07:38 | 45,791 | first reading |
526 posts held, back to 27 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 162 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 25 October 2026 |
|---|---|
| Posts held | 526 (27 July 2026 – 25 October 2026) |
| Views total | 413,403 |
| Reactions total | 908 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 23:56 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 25 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 6 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.
1,744 reactions across 519 posts, in 13 distinct kinds. The most used accounts for 52.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 909 | 52.1% | |
| ❤ | 758 | 43.5% | |
| 🤔 | 58 | 3.33% | |
| 🥰 | 8 | 0.459% | |
| 🔥 | 2 | 0.115% | |
| 🤣 | 2 | 0.115% | |
| ❤🔥 | 1 | 0.057% | |
| 🎉 | 1 | 0.057% | |
| 🏆 | 1 | 0.057% | |
| 💊 | 1 | 0.057% | |
| 💯 | 1 | 0.057% | |
| 😁 | 1 | 0.057% | |
| 🦄 | 1 | 0.057% |
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 519 of the 526 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 1,744 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 526 most recent posts we hold, published 27 July 2026 to 25 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.
❤️暗网搜索:https://t.me/lingduliu/987
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🎮:龙之信条:黑暗再临_本作最具特色的系统之一,便是名为 “Pawns(随从)” 的 AI 同伴机制。玩家将从 9 种不同职业中选择并培养角色,并与三名 Pawns 组成队伍共同冒险。这些 Pawns 不仅能在战斗中提供支援,还会根据战斗经验主动学习、调整战术,带来接近真人协作的战斗体验。 作为终极版本,本作已包含所有曾经推出的付费 DLC 内容,其中包括高难度的全新区域与挑战,为追求极限战斗与深度玩法的玩家提供了更加丰富的游戏体验。无论是首次踏入 Gransys 大陆的新玩家,还是想重温经典的老玩家,《Dragon’s Dogma: Dark Arisen》高清版都能带来一场内容完整、系统成熟、战斗酣畅淋漓的奇幻冒险。 【特别说明】: 手机+电脑版本已经打包,内含金手指哦! 🟢链接:夸克下载 🟢标签: #端游 #龙之信条之黑暗再临 #游戏 #手游
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#优质频道推荐 💻 破解类 ◉ 382K 秋月资源分享社 | 破解软件 ◉ 297K 漫天星分享社-破解软件 ◉ 285K 破解软件分享-百科全书 ◉ 96K 安卓破解软件精选 ◉ 73K 无双资源分享 | 破解 | 节点分享 ⌨️ 综合类 ◉ 261K 黑科技软件资源分享 ◉ 104K 软件工具精选推荐 ◉ 92K 资源分享-软件|网站|工具 ◉ 90K TG小树屋|资源&代理分享 ◉ 88K 胖虎の收藏夹 ☺️ 苹果类 ◉ 97K 破解软件资源分享 ◉ 50K iOS优质应用 🔎 其他类 ◉ 133K 电子书/听书/期刊/课程资源 ◉ 50K 零度资源游戏分享
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Showing the 12 most recent of 526 posts we hold for @LDAPK. 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.
@LDAPK edited 2 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.
Named by 9 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.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“零度资源分享-破解软件/游戏分享” (@LDAPK), 51,149 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/LDAPK.
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.