Channel
@englishisshit
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
5,984subscribers
+58 since we began measuring on 26 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001608521757 |
|---|---|
| Type | Channel |
| Username | @englishisshit |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 26 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 6 September 2026 |
| On Telegram | t.me/englishisshit |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 03:27 | 5,984 | +6 |
| 30 Aug 2026, 03:54 | 5,978 | +17 |
| 27 Aug 2026, 14:24 | 5,961 | +35 |
| 26 Aug 2026, 19:45 | 5,926 | first reading |
20 posts held, back to 3 April 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 page 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 26 August 2026 |
|---|---|
| Posts held | 20 (3 April 2025 – 26 August 2026) |
| Views total | 195 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Aug 2026, 19:45 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.
344 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 55.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 191 | 55.5% | |
| 👍 | 114 | 33.1% | |
| 😭 | 15 | 4.36% | |
| 🤣 | 10 | 2.91% | |
| 🤯 | 5 | 1.45% | |
| 🥰 | 4 | 1.16% | |
| 👏 | 2 | 0.581% | |
| 🔥 | 1 | 0.291% | |
| 😁 | 1 | 0.291% | |
| 😱 | 1 | 0.291% |
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 20 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 344 reactions 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 3 April 2025 to 26 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.
【Bear with me 定 Bare with me？🐻🫣】 當你想叫人「俾少少耐性、等一等」時，英文可以講： ✅ Bear with me. 雖然 bear 最常見嘅意思係「熊」，但作為動詞，亦可以解作「忍受、承受」。 所以 Bear with me 並唔係叫人「同隻熊一齊陪住我」，而係： 👉 請忍耐一下 👉 請俾我少少時間 📘 Example sentence: Bear with me while I look for the document. 請等一等，我搵緊份文件。 —————————————————— 咁 Bare with me 又係咩？🤨 Bare 解作「裸露、除去遮蓋」。 所以如果寫成： ❌ Bare with me. 字面上就可能變成： 👉 同我一齊除衫🗿 —————————————————— 記住： 🐻 Bear with me ＝ 請耐心等候 🫣 Bare with …
👍1
【I write, you write, but he writes？🤨】 相信大部份人由細學英文都會聽過老師講：「嗱，記住He/She/It動詞要加s啊。」👩🏻🏫 亦就係我哋所知嘅用-s 嚟標記 第三人稱單數（third person singular） —————————————————— 📜 但原來以前英文嘅變化多好多 古英文（Old English）入面每個人稱都有唔同 ending： • ic write • þu writest • he writeth • we writaþ 但隨住語言系統慢慢演變， 最後只剩低來自北英格蘭方言嘅-s 被廣傳並慢慢成為標準用法🏴✌🏻 而呢樣現象喺語言學上就係被稱為Analogical leveling （類推平整化） —————————————————— 🤔 咁點解唔乾脆變成「he write」？ 事實上，有英文變體真係咁做，例如 African …
❤13
【🥑 字源學Fun Fact：Avocado】 牛油果一向都大家嘅健康之選 但大家又知唔知avocado呢個英文字嘅源頭 竟然係男性嘅「睪丸」🫨 —————————————————— ⌛️ Avocado 最早來自： Nāhuatl（納瓦特爾語） ＝ 阿茲特克文明語言 原詞： āhuacatl 意思：testicle 🤫 因為佢哋兩者嘅外形相似 古人就用呢個名去叫呢種果實🤭 —————————————————— 🗣 咁 āhuacatl 點樣變成 avocado？ 其實經歷咗 3 次語言轉換： āhuacatl（納瓦特爾語） → aguacate（西班牙語） → avocado（英文） 當西班牙人把果實帶到歐洲後， 名稱亦一路跟住語言轉變， 最後變成今日嘅 Avocado ! —————————————————— 大家又鍾唔鍾意食牛油果呢？🥑 希望大家睇完對牛油果唔會有異樣目光🤣
❤9🤯4🥰1
📰 「兒子生性病母倍感安慰」到底發生咩事？ 呢句出自香港商報嘅新聞標題，一眼望落好似好感人，但再睇真啲又有啲驚嚇 用語言學嘅角度去解釋，其實包含咗兩種歧義 （ambiguity) —————————————————— 1️⃣ Segmentation ambiguity（切分歧義） 中文冇空格，一串字可以唔同斷法： • 兒子 / 生 / 性病 / 母 • 兒子 / 生性 / 病母 唔同切分 → 唔同詞語 → 唔同意思 呢種就叫 segmentation ambiguity —————————————————— 2️⃣ Syntactic ambiguity（句法歧義） 當切分唔同，句子結構都會變： 👉 兒子生性病，母倍感安慰 ＝個仔染性病，阿媽感到安慰🗿⁉️ 👉 兒子生性，病母倍感安慰 ＝個仔孝順乖仔，病母感安慰🥹🫂 同一串字 → 兩種句法結構 就係 syntactic ambiguity —————————…
👍11❤3
【🍳 字源學Fun Fact：點解早餐叫 Breakfast？】 平時叫 Breakfast 叫得咁順口，你有冇諗過呢個字點解？🤔 其實 Breakfast 就係 Break ＋ Fast 呢兩個字組成的 1. Fast (禁食)：在古英語中，fæstan指的是為了宗教或健康原因而不進食。當我們晚上睡覺時，身體自然進入了一個長時間不進食的狀態，這在生理上就是一種「禁食」。 2. Break (打破)： 當你早上醒來吃第一餐時，你正式「打破」了由昨晚晚餐後開始的這段禁食期。 唔好以為得「 168 斷食」先叫 Fasting，其實你每晚瞓覺嗰段時間，身體都係處於禁食狀態。所以你朝早起身食嗰餐早餐，本質上就係： 「打破你維持咗成晚嘅禁食期！」 🔓🍔 By @maau1maau1
❤13
短語 “You are on the ball” 是一個常用的英語口語片語，用來稱讚某人 反應敏捷、頭腦清楚、很在狀況內。意思相當於中文的「你很聰明／很機靈／很懂事／很跟得上節奏」。 --- 💡 意思說明： - 字面意思：「你在球上」其實沒有真正的意思，是一個比喻說法。 - 比喻意思：就像在球賽中隨時準備接球一樣，形容某人能快速理解情況、作出反應或掌握正確資訊。 --- ✅ 例句： 1. You are really on the ball today! → 你今天反應真快啊！ 2. We need someone who’s on the ball to handle this project. → 我們需要一個辦事敏捷、頭腦清楚的人來處理這個專案。 3. Good job catching that mistake — you’re on the ball! → 很棒，你能抓到那個錯誤，真是很細心！ 4.…
❤19😱1
在英文中，類似於「講經」的表達可以用「preach」來形容。當某人對大家已經知道的道德觀念進行重複或教導時，這個詞通常帶有貶義，暗示對方在自以為是地傳授道理或顯得道德優越。 另一個相關的表達是「holier-than-thou」，這用來形容那些表現出道德優越感的人，暗示他們在道德上自以為高人一等。 以下是一些例句： 1. Preach: - "I know you want to help, but please stop preaching to me about how I should live my life." - 「我知道你想幫忙，但請別再對我講該怎樣生活了。」 - "She tends to preach about healthy eating, even though she often indulges in junk food herself." - 「她經常講健康飲食…
👍10❤6🔥1
在大學內，「Faculty」這個詞確實有兩種常見但不同的意思。 1. 指大學的「教職員工」或「師資」 (The People) 此時「Faculty」指的是在大學裡任教和從事研究的所有學者、教授、講師等教學和研究人員的總稱，強調的是「人」的集合。它通常作為**集合名詞 (collective noun)** 使用，不加 "s"，動詞用單數或複數取決於語境（整體概念或個別成員）。 例句： The university is proud of its diverse and distinguished faculty. 2. 指大學內部的「學院」或「學部」 (The Organizational Unit) 此時「Faculty」指的是大學內依據學科領域劃分而成的行政和學術單位，通常包含數個學系（Department），例如「文學院」、「理學院」等。強調的是「組織架構」。它通常作為**可數名詞 (countable no…
❤2👍1
「保護珊瑚」的英文說法 🐠🌊 1. Protecting coral / protecting coral reefs 🛡️ * Coral (珊瑚) 可以指單個的珊瑚蟲，也可以是不可數的集合名詞。 * Coral reefs (珊瑚礁) 指的是由珊瑚構成的整個生態系統 🏝️🐠，這通常是我們談論「保護」時的主要對象。 例句： * "It's crucial that we start protecting coral reefs more actively." (我們必須更積極地開始保護珊瑚礁。💪) * "Many organizations are dedicated to protecting coral around the world." (許多組織致力於保護世界各地的珊瑚。🌎🤝) 其他常用且更具體意義的動詞： 除了 pro…
❤11🤣10👍4😁1
😴 英文與睡覺有關的說法 1. Hit the hay * 解釋： 這是個比較老式且口語化的說法，意思是「上床睡覺」。以前人們睡在稻草（hay）上，因此有此說法。 * 例句： "I'm so exhausted, I think I'm going to hit the hay early tonight." * 我太累了，我想今晚要早點睡覺。 2. Catch some Zs * 解釋： 「ZzZz」在漫畫中常用來表示睡覺或打鼾的聲音，所以這個詞組的意思是「小睡一會兒」或「睡覺」。 * 例句： "After that long flight, all I want to do is catch some Zs." * 那趟漫長的飛行後，我只想好好睡一覺。 3. Crash out * 解釋： 指的是因極度疲憊而很快…
❤21
在英文信件中，我們常常讀到「We regret to inform you...」。許多學習者看到「regret」會直覺認為對方在「後悔」，其實並非如此。在這裡，「regret」應理解為「遺憾」，用來傳達壞消息時表現出尊重與禮貌。寫信的人並不是感到自己「做錯事而懊悔」，而是希望透過這個詞，緩和讀者接收負面消息的感受。這種表達方式常出現在拒絕申請、通知延誤，或是宣布某些不幸事件之中。因此，遇到這樣的句子，應該理解為「我們遺憾地通知」而不是「我們後悔去通知」。這是一種書面語裡的正式禮貌，而不是情緒上的悔恨。 - regret 在英語裡有兩種常見意思： 1. 後悔：對自己做過/沒做的事情抱歉或懊惱。 2. 遺憾：對某件必須發生或必須告訴別人的事感到惋惜，但並不是因為自己「錯了」。 - 在「We regret to inform you that…」這種用途裡，是第二種： - We regret to inform y…
👍17❤4
以下是一些以 "T" 開頭，可以作為 "good" 的同義詞： 1. Terrific (極好的，了不起的，非常棒的) - 常用來形容某物或某事非常出色。 * 例句：The movie was terrific! (這部電影太棒了！) 2. Tremendous (巨大的，非常好的，驚人的) - 可以用來形容質量或程度非常高，達到驚人的好。 * 例句：She made a tremendous effort. (她付出了巨大的努力。) / He's a tremendous talent. (他是一個了不起的人才。) 3. Top-notch (一流的，頂尖的，最高品質的) - 形容質量非常高，無可挑剔。 * 例句：The restaurant serves top-notch food. (這家餐廳提供一流的食物。) 4. Tip-top (極佳的，狀況完美的) - 形容狀態…
👍14❤5
Showing the 12 most recent of 20 posts we hold for @englishisshit. 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.
Named by 2 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.
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“英文難到跳樓關注組” (@englishisshit), 5,984 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/englishisshit.
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.