Channel
@How_telegram
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
187subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001506888581 |
|---|---|
| Type | Channel |
| Username | @How_telegram |
| Description | 本頻道提供：Telegram操作指導； Telegram運營經驗；中文包 機器人推薦。 |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/How_telegram |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 07:17 | 187 | no change |
| 6 Aug 2026, 20:04 | 187 | first reading |
20 posts held, back to 31 January 2025 — 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 pageof 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 7 August 2026 |
|---|---|
| Posts held | 20 (31 January 2025 – 7 August 2026) |
| Views total | 1 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 07:17 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.
Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
648 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 69.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 451 | 69.6% | |
| ❤🔥 | 182 | 28.1% | |
| 👍 | 9 | 1.39% | |
| ❤ | 6 | 0.926% |
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 16 of the 20 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 648reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 31 January 2025 to 7 August 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 @How_telegram. 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 20 most recent posts we hold for this entry, published 31 January 2025 to 7 August 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.
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⭐️🔥DeepSeek—當紅炸子雞 AI 助手 🔥⭐️ 近來 AI 助手市場競爭激烈，而 DeepSeek Reasoning AI Agent 迅速崛起，成為各大社群平台討論的熱門話題！📢以強大的推理能力和多功能應用，成功吸引無數用戶關注，被譽為 「AI 界的新一代當紅炸子雞」 🐔🚀 如果你還沒體驗過 DeepSeek AI，那你真的落後潮流了！快來看看這款 AI 為何能引爆話題，成為眾多 Telegram 用戶的首選 AI 助手！ 🚀為什麼 DeepSeek 這麼火？ ✅強大推理能力：不只是聊天機器人，更像是你的專業顧問，能深入理解問題，提供準確解答 ✅即時資訊整理：讓 AI 幫你總結文章、解析複雜概念，提高學習與工作效率 ✅內容創作神器：寫作、發文、商業文案，一鍵生成，讓靈感源源不絕 ✅開發者必備 AI 助手：代碼生成、錯誤排查，讓程式設計更高效 ✅多語言支持：不論你用中文、英文還是其他語言，DeepSeek 都能…
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🔴經常用虛擬幣錢包的注意一下! 原文在此 ： https://securelist.ru/sparkcat-stealer-in-app-store-and-google-play/111638/ 有興趣可以詳細看一下 分析的很詳細！
卡巴斯基發現大量應用內含惡意SDK，竊取加密貨幣錢包信息 2025年2月5日 —— 卡巴斯基實驗室近日發佈安全報告，揭示 Google Play 和 Apple App Store 上多款應用內含惡意SDK “SparkCat”，該SDK可竊取 加密貨幣錢包助記詞和恢復密鑰，進而盜取用戶資產。這是首次在 iOS 平台 發現利用 OCR 光學識別 技術竊取加密錢包信息的惡意應用。 惡意應用影響範圍廣泛 • 受影響的 Android 應用下載量超過 24.2 萬次。 • iOS 應用下載量未知，但同樣面臨風險。 • 黑客主要針對 中文、日文、韓文、拉丁文 用戶，攻擊範圍可能覆蓋全球。 惡意SDK的攻擊方式 1. 用戶安裝受感染應用後，應用會掃描屏幕上的加密錢包助記詞或恢復密鑰。 2. 通過 OCR 技術識別並提取關鍵信息。 3. 通過黑客控制的服務器將數據發送出去（C2 服務器域名仿冒 阿里雲 aliyung[.]…
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有沒有人試用過這個了！如果擔心Siri或者手機助手很難理解你想讓他紀錄或提醒的事項！ 請務必嘗試看看！
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⏳Telegram新人必備攻略目錄⏳ 🔗 中文包 👈 🔗 密碼鎖 👈 🔗 安全隱私 👈 🔗 謹防盜號 👈 🔗 謹防盜號 👈 🔗 兩步驗證 👈 🔗 註冊賬號 👈 🔗 內容限制 👈 🔗 私聊限制 👈 🔗 自動刪除 👈 🔗 自動保存 👈 🔗 自動下載 👈 🔗 分組功能 👈 🔗 收藏功能 👈 🔗 歸檔功能 👈 🔗 翻譯功能 👈 🔗 創建頻道 👈 🔗 創建群組 👈 🔗 註銷賬號 👈 🔗 定時消息 👈 🔗 投票功能 👈 🔗 添加好友 👈 🔗 賬號封禁 👈 🔗 文本格式 👈 🔗 高級會員 👈 🔗 網頁版本 👈 #Telegram操作 #基礎功能 #高級功能 #使用技巧 #Telegram運營 #風控 #變現 #機器人 #中文包 #群頻道 #新聞
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Telegram新推出的聯盟平台，如下為聯盟平台中文介紹： 🤝我們本月推出的聯盟平台迅速獲得了成功。它的目標是通過邀請用戶進入迷你應用，讓用戶和頻道賺取星星。僅在12天內，就創建了15,000個聯盟計劃，並且有400萬用戶被推薦使用迷你應用 📈 😇聯盟平台為頻道和迷你應用提供了最需要的東西：頻道擁有者賺取收入，而迷你應用開發者獲得新用戶。與類似系統不同，Telegram的聯盟平台是透明的，並且每次推薦用戶在迷你應用中進行交易時，都能保證即時獲得傭金🪙 😺最重要的是，它非常簡單。任何人都可以在Telegram上啓動或加入聯盟計劃。你可以在設置中的“我的星星”里查看現有的聯盟計劃（選擇“賺取星星”）。或者直接通過下面的視頻瞭解它的樣子 🍿 英文原文： https://t.me/durov/384
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🧑🏫 Telegram頻道、群組、機器人名稱上帶藍色認證標誌是什麼意思？ 具有這個標誌的頻道、群組、機器人表示已經獲得了Telegram官方運營團隊的認可。 藍色標誌認證●說明 1.僅大型並且活躍的官方頻道、群組和機器人才可以進行驗證，不接受個人用戶驗證。 2.在Telegram 中,驗證不會帶來任何額外的功能和特權！ 3.驗證標誌只是一種證明頻道、群組或機器人是其官方所擁有的認證標誌(並不是代表Telegram 官方，只是獲得Telegram官方運營團隊的認可認證品牌標誌，就比如某個品牌、企業、自媒體、明星、名人的一個官方對此標誌性的認可) #Telegram #官方認證
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Showing the 12 most recent of 20 posts we hold for @How_telegram. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 546,132 of 1,160,990entries 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.
Named by 31 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
@How_telegram named 5 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Telegram 中文知識頻道™︎” (@How_telegram), 187 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/How_telegram.
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.