Channel
@Wolyser
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
334subscribers
+105 since we began measuring on 16 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002001620214 |
|---|---|
| Type | Channel |
| Username | @Wolyser |
| Created | Between 1 November 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 September 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/Wolyser |
Education — 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 3 October 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 06:19 | 334 | +3 |
| 26 Oct 2026, 14:05 | 331 | +17 |
| 19 Oct 2026, 13:26 | 314 | +21 |
| 13 Oct 2026, 01:19 | 293 | +8 |
| 3 Oct 2026, 06:16 | 285 | +54 |
| 18 Sept 2026, 05:57 | 231 | +2 |
| 16 Sept 2026, 21:22 | 229 | no change |
| 16 Sept 2026, 20:47 | 229 | first reading |
20 posts held, back to 13 September 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 16 September 2026. An engagement rate over an empty window would be a number about nothing.
89 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 30.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 27 | 30.3% | |
| 👍 | 27 | 30.3% | |
| 🔥 | 22 | 24.7% | |
| 👏 | 9 | 10.1% | |
| 🥰 | 3 | 3.37% | |
| 🎉 | 1 | 1.12% |
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 18 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 89 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 13 September 2026 to 16 September 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.
🦊 نمونه‌ی دوم: وقتی هر ۴ گزینه سنگینن 💠 سوال B-33 از همون آزمون اردیبهشت ۱۴۰۴: Political analysts said that it reflected the .................... nature of this rebellion—that is, it was not a well-formed coup but a protest without a plan or internal organization. ۱. facetious ۲. inchoate ✅ ۳. peremptory ۴. panegyric 💠 این بار برخلاف سوال قبل، نمی‌تونی با حذف گزینه‌های سنگین به جواب برسی — چون هیچ گزینه‌ی سبکی وج…
🔥2👍1
🦊 نمونه‌ی اول: وقتی جواب، ساده‌ترین گزینه‌ست 💠 سوال ۳۲ از آزمون اردیبهشت 1404: "In many cases, the statute does not say precisely what agencies should do, giving them considerable .................. in interpreting the law and developing regulations." ۱. latitude ۲. remuneration ۳. blandishment ۴. conflation جواب درست: latitude (به معنای آزادی عمل / حق انتخاب) 💠 نگاه کنید به بقیه‌ی گزینه‌ها — remuneration، blandi…
👍2🔥1
🦊 چه سطحی از لغت واقعاً "جواب" بودند؟ 💠 تو هر سوال گزینه‌ای کنکور، دقیقاً ۱ گزینه جوابه و ۳ تا طعمه — یعنی از نظر فرمت، در صورت استاندارد بودن آزمون (اینکه آزمون هر سطح از لغت رو در بر بگیره و به‌صورت یکسان بهشون بپردازه) هر سطح لغتی (از A1 تا C2) باید به‌طور پیش‌فرض ۲۵٪ شانس جواب‌بودن داشته باشه. 💠 ولی وقتی داده‌های واقعی رو نگاه می‌کنیم، این تعادل به‌هم می‌خوره: — لغات B2 تنها سطحی هستن که بیشتر از حد انتظار جواب…
👍3
🦊 تحلیل کوتاه مقایسه ای از بخش لغت از دو نوبت کنکور منحصرا زبان سال 1404 💠 در این پست هر دو نوبت کنکور منحصرا زبان رو — اردیبهشت و تیر — با هم بررسی کردیم: ۲۰۰ گزینه، ۵۰ جواب درست و ۱۵۰ طعمه. 💠 هدف این تحلیل مقایسه ای اینه که ببینیم طراح سوال واقعاً از کجا لغت انتخاب می‌کنه، لغات دارای کدوم سطح بیشتر جواب بودند و کدوما فقط برای گمراه‌کردنن، کدوم لغتا هر سال تکرار میشن ولی هیچ‌وقت جواب نیستن، و در نهایت چقدر از گزی…
🔥2👍1
🦊 لغت روز لغتی که ۵ بار تو کنکور ارشد اومده، ولی هیچ‌وقت جواب نبوده revert · فعل 🎓 تخمینی B1 (مدل فراوانی ngram) 🔊 /ɹəˈvɜː(ɹ)t/ 💬 to go back to a previous state or habit 🇮🇷 برگشتن به حالت یا عادت قبلی 📖 "After a week of vacation, he reverted to his old routine." 📚 کتاب‌ها: 1100 Words You Need to Know — هفته ۷ · GRE Family 📝 تاریخچه آزمون: ۵ بار · ۰ جواب / ۵ طعمه نکته‌ی جالب: این تنها لغتیه تو کل دیتابیس ما که…
🔥2🥰2❤1👍1
🦊 لغت روز لغتی که هر بار تو کنکور جوابه heritage · اسم 🎓 B1 (آکسفورد ۵۰۰۰) 🔊 /ˈhɛɹ.ɪ.tɪd͡ʒ/ 💬 the traditions, buildings, or culture that a country or family has had for a long time 🇮🇷 میراث؛ فرهنگ و سنت‌هایی که از گذشته به یه کشور یا خانواده رسیده 📖 "This old castle is part of our national heritage." 📚 کتاب‌ها: 4000 Essential English Words — کتاب ۳ 📝 تاریخچه آزمون: ۳ بار · ۳ جواب / ۰ طعمه 𓂃 ִ ֶָ🦊 ָ ֶ ִ 𝐖𝐨𝐥𝐲…
🔥4❤2👍1
💠 آپدیت‌های امروز پروژه: ۱. اضافه شده پایپ لاین آزمون کنکور عمومی زبان دکترا : از این به بعد آزمون‌های عمومی دکترا که برای همه‌ی رشته ها هستند هم مورد بررسی قرار خواهند گرفت. ۲. اضافه شدن پایپ لاین آزمون کنکور زبان دکترا کد ۲۸۰۴ مخصوص رشته‌های ادبیات انگلیسی و زبان شناسی ۳. اضافه شدن پایپ لاین آزمون کنکور زبان دکترا کد ۲۸۰۵ مخصوص رشته‌های آموزش زبان انگلیسی ۴. بازبینی آنالیز لغات و آنالیز لغات هر آزمون بر اساس دو…
👏4🔥2❤1👍1
💠دوستان پیج اینستاگرام پروژه هم زده شده. اگر دوست داشتید می‌تونید دنبال کنید. 𓂃 ִ ֶָ🦊 ָ ֶ ִ 𝐖𝐨𝐥𝐲𝐬𝐞𝐫 ִ ֶָ🦊 ָ ֶ ִ 𓂃 📊 @wolyser ‧₊˚
❤3🔥3👍1🥰1
دوستان یک گروه هم متصل کردم به کانال برای شنیدن نظرات شما و انشالله باگ‌هایی که پیدا می‌کنید از پروژه وقتی پابلیک شد(بالاخره هر پروژه‌ی اینطوری ضعف داره اوایل).
👍7
نمونه‌ی دوم: کنکور ارشد ۱۴۰۳ حالا نمونه‌ی دوم، این بار از کنکور کارشناسی ارشد سال ۱۴۰۳. 📝 سوال ۹: "I don't get ........................ about anything; I find it comical when people get upset about travel problems that are beyond their control." ۱. stressed out ۲. stressful ۳. exhilarated ۴. exhilarating جواب درست: stressed out اینجا فرق اصلی، فاعل بودن یا نبودنه: — stressed out یعنی خود شخص استرس داره (حالت فاع…
❤6👍1
نمونه‌ی اول: کنکور عمومی ۱۴۰۵ تو پست قبل گفتیم بعضی سوالای کنکور هر ۴ گزینه‌شون از یه ریشه‌ست. حالا بریم سراغ یه نمونه‌ی واقعی از بخش cloze test کنکور عمومی سال ۱۴۰۵. 📝 سوال ۴۸: "However, only 25 per cent of these are described as 'actual friends,' ................(48) the difference between what is considered online and offline friendship."( بخشی از کلوز تست) ۱. undermining ۲. underlining ۳. undercutting ۴. undert…
👍2❤1
🦊 وقتی هر ۴ گزینه از یک ریشه‌ن 💠تو بعضی سوالای کنکور، طراح سوال یه کار خاص می‌کنه: چند گزینه رو از یه ریشه‌ی مشترک می‌سازه. یعنی دیگه نمی‌تونی با حدس زدن "کدوم لغت آشناتره" جواب بدی — باید دقیقاً بدونی هر کدوم چه فرقی با بقیه داره. 💠 این الگو مخصوص یه نوع کنکور خاص نیست — هم تو کنکور عمومی دیده میشه، هم تو کنکور ارشد، فقط شکلش فرق می‌کنه. تو دو پست بعدی، دو نمونه‌ی واقعی از داده‌هامون رو با هم بررسی می‌کنیم: 📝 یکی…
❤1👍1🔥1
Showing the 12 most recent of 20 posts we hold for @Wolyser. 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.
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 1 registered channel — 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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“Wolyser | تحلیل لغات کنکور” (@Wolyser), 334 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/Wolyser.
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.