Channel
@twitter_translate
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,536subscribers
+8 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001374186417 |
|---|---|
| Type | Channel |
| Username | @twitter_translate |
| Created | 14 June 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/twitter_translate |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 23:56 | 11,536 | +4 |
| 12 Aug 2026, 18:57 | 11,532 | -4 |
| 11 Aug 2026, 17:55 | 11,536 | -5 |
| 10 Aug 2026, 15:54 | 11,541 | -1 |
| 9 Aug 2026, 14:14 | 11,542 | -2 |
| 8 Aug 2026, 10:52 | 11,544 | +5 |
| 7 Aug 2026, 12:43 | 11,539 | +11 |
| 6 Aug 2026, 14:53 | 11,528 | no change |
| 6 Aug 2026, 13:22 | 11,528 | first reading |
10 posts held, back to 4 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 16 pagesof 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. It is computed over the 4 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 10 (4 August 2026 – 5 August 2026) |
| Views total | 4,598 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 04:05 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.
Measured directly from 1 video 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.
6 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 83.3% | |
| 👍 | 1 | 16.7% |
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 4 of the 10 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 4 August 2026 to 5 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.
科学家翻车时刻： ❶ 不小心在美洲豹标记过的树下上了厕所，结果被这只美洲豹追了整整三周！听起来很刺激吧，其实超吓人的... ❷ 想要分辨捡到的物体是普通石头还是化石，于是舔了舔，有点粘舌头，是表面多孔的化石！在这个过程中不小心吸进了一点尘土，开始咳嗽！咳嗽的时候猛吸了一口气，把化石吃下去了... 吃下去了... ❸ 给斑马打完镇定剂之后，斑马跑了几步，精准地落到了纳米比亚大草原大草原方圆几公里唯一的一棵树上 —— 还卡住了脖子... ❹ 不小心把天牛的信息素撒到了自己身上，于是成为了整片斯科讷地区最性感的天牛😂 ❺ 为初中生做科普时放飞了一只被我们起名叫“小拍拍”的金翅雀，结果“小拍拍”立即被猎鹰捉走了！在场的二十四名初中女生都受到了不同程度的惊吓... ❻ 熟练地为一只蝠鲼（魔鬼鱼）贴上了价值上千美元的卫星定位器 —— 结果发现昨天已经为它贴过一次了😂 ❼ 为鳄鱼贴无线电定位器，涂强力胶水的时候手滑不小心把自己和鳄鱼黏在了…
❤1
很多人已经指出，那些极端保守派嘴里的“保护孩子”，其本质是限制孩子获取知识和信息。这种说法无疑是非常正确的。无数事件证明，知识和信息能帮助孩子发现可能的侵害，提前防范保护自己。而极端保守派所说的“保护天真纯洁的孩子”，其实是让孩子陷入在信息真空的无知之中，让孩子更容易遭到伤害。就算让孩子接受自我防范的教育会给孩子带来一些不安，限制孩子获取相关的信息绝对会给孩子带来远远更多的危险。 但我想进一步指出，保守派不是假惺惺，保守派是真的觉得自己在保护孩子。保守派的保护孩子，不是保护一个平等的值得被尊重的人，而是保护财产、保护任意由自己涂画的白纸、保护投资那样的“保护”。对教会来说，保护孩子是保护孩子不受任何会破坏“信仰坚定”的信息的影响，即使这些信息会给孩子将来的生活带来巨大的益处。对保守派父母来说，保护孩子是保护孩子不受任何宗教自主权、身体自主权、避免侵害权相关的概念的影响，全力维持自己控制孩子的能力和权力。保守派把孩子视为可以任由…
❤1
2022年春天，麦迪逊·哈贝尔和加布里埃拉·帕帕达基斯在冬奥赛事之后，放下了比赛压力的两人携手冰舞了一曲。哈贝尔和帕帕达基斯是挚友，她们分别代表美国和法国，获得了当届冬奥会花样滑冰的奖牌。 这两位选手虽然合作极为默契，却无缘作为一对比赛组合参加花样滑冰比赛。这是因为国际滑冰联盟自1950年以来，一直维持着对同性运动员作为双人组合参赛的禁令。 source
嘿！跨性别朋友们！我想再次提醒大家，我们的经历属于我们自己，讲述我们自己的故事和感受，没有“错误”一说。 𖧋 如果你的感受是“我生错了身体”，完全没问题。 𖧋 如果你的感受是“我以前是X性别现在是Y性别了”，也完全没问题。 𖧋 如果你的感受是“我以前是X性别现在选择成为Y性别”，也完全没问题。 𖧋 如果你的感受是“我一直以来就是Y性别”，也完全没问题。 𖧋 如果你看到那些有你以前名字和以前的照片的东西，会觉得那是属于你的过去，完全没问题。 𖧋 如果你看到那些有你以前名字和以前的照片的东西，会觉得那些东西和现在的你毫无关系，也完全没问题。 𖧋 如果你的感受是“抹去了过去那个X性别的自己”，完全没问题。 𖧋 如果你的感受是“我还是那个过去的自己只不过现在变成了Y性别”，也完全没问题。 对我自己来说，我会这样解释我的感受：那个过去的小女孩一直是我的一部分，只是她更愿意让现在的我去待人接物。 无论如何，我们永远可以用我们自己的…
那是1950年代的事情了。 我的叔公叫安吉洛，他在纽约郊区的某个药房工作，那时候药房除了配药之外，通常还会有一个食品柜台，售卖冰激凌、和咖啡等零食，而我叔公就是在药房负责卖汽水的人。在工作的时候，我叔公安吉洛和经常来买汽水的比尔结识并相爱了。 那时候警察还在大规模拘捕同性恋，所以安吉洛和比尔并不敢公开相爱，他们在离纽约几小时车程之外的火岛租了一间房子，周末的时候就一起跑去火岛生活。 很快，火岛成为了安吉洛和比尔的家。当时很多男同性恋为了躲避拘捕，都慢慢搬来了火岛。那时候同性恋还没有条件公开主张自己的基本权利，只能非常低调的生活。石墙起义是十多年之后的事情，“同性恋渐渐得以公开生活的70年代”是二十年之后的事情。 随着时间的推移，安吉洛和比尔帮助了很多男同性恋在火岛上立足。在火岛上，这些男同性恋终于有机会公开讲述、分享、并讨论自己的生活。很多人会回忆起当年精心打扮去当时纽约著名的同性恋酒吧“晚安俱乐部”聆听芭芭拉·史翠珊的…
👍1
我认为很多健全人之所以会对“什么是针对身心障碍的歧视”产生误解，是因为Ta们没有意识到身心障碍群体是一个特别多元的群体。身心障碍有非常多的种类，比如智力障碍、感官障碍、运动障碍、慢性疾病、神经多样（比如注意力障碍和自闭谱系）、肢体差异等等，不同种类的身心障碍的需求也各不相同。 这就解释了为什么我们常常会看到身心障碍权益相关的倡导者们会提出看似“自相矛盾”的诉求。有的群体在呼吁社会给予更多帮扶，而有的群体却在极力争取更多独立自主的权利；身患绝症的群体会拼尽全力呼吁医学研究以求治愈，但一些神经多样和感官障碍的群体，却希望社会不要一刀切地把Ta们的情况和经验当成需要被“治愈”的疾病。同时，各个群体所遭遇的歧视和偏见也各有各的不同。 而且即使一个人是身心障碍群体的一员，也不可能让这个人自动变成所有身心障碍问题的专家。这就是为什么在各个企业和机构中必须要有各种不同类型的身心障碍群体的声音。我以前接触过一些机构，仅仅因为董事会有一位身心…
❤3
你可以同时展现出你的女性气质和男性气质。展现男性气质并不会抵消你女性的一面，展现女性气质也不会抵消你的男性的一面。 男性气质也好，女性气质也好，都是你的一部分，没有这个好那个不好的说法。你的气质是属于你的，你是唯一那个有权解读，有权为它们赋予含义的人 —— 你的快乐，你的归属感，你的生命力。 你展现的是你自己，而不是别人对你的气质的预设。放下性别气质定见的负担吧。 source
社死了社死了社死了...我以后怎么再见我邻居啊啊啊啊... 刚刚我和我的猫咪在外面，然后我的猫咪跑到灌木丛后面去了，我完全没有意识到我邻居当时也在灌木丛后面！当时我把我脑袋猛地探过去，还非常夸张非常大声地尝试和我家猫咪说话：“我最最最最可爱的亲亲宝宝！你在这边做什么呀呀呀呀呀！” 这位我几乎没怎么讲过话的四十多岁的邻居以惊人的风度和礼貌稳住了自己，只见他带着困惑试探着回答我，“话说...我正在浇我的玫瑰花...您在忙什么呢？” source
我要在这边讲出我的一条人生建议，因为我想哪怕有一个人可以免受我二十多岁那十年遭受的动荡和背刺都是好的。而我的这条建议是，如果你某个朋友总是在这里那里“挂人”，甚至花很多精力搜集整合别人的“黑料”，请你一定要安全逃离这人身边的是非之地。 你很可能会想，我做事坦坦荡荡，我有什么可以担心的？你觉得你总是考虑别人的感受，尽自己所能避免在有意无意间伤害别人，所以你一定不会有机会被“挂出来”。但真的吗？你做的再好，都不会达到那些意图搅事的人心中的“完美无瑕”。如果这些人一时挑不出你的错处，就会更换不同的方向和角度寻找事由，不断放大并加以捏造，直到给你扣上“极端危险的人”的帽子。一旦找到时机，这些人会很乐意切断你们的“友谊”，并让你成为自己“正义领袖”人设的垫脚石。不要让这些人有机会颠倒黑白制造混乱，让你陷入有口说不清的境地。快速离开这些人的身边吧，安全平静的生活远远比这段关系可能给你带来的东西要重要的多。 补充：这个帖子一夜之间被转发了…
让我感到非常无语的是 —— 很多人完全理解 “被当小孩对待”是多么糟糕的事情 却从不肯进一步得出结论 我们整个社会也不该那么对待小孩 source
Showing the 10 most recent of 10 posts we hold for @twitter_translate. 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 — 7,140 of 1,340,412entries 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.
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 3 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“推特翻译” (@twitter_translate), 11,536 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/twitter_translate.
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.