🆔@science_fun

Channel
ساینس|science
@science_fun
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
141subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001298982673 |
|---|---|
| Type | Channel |
| Username | @science_fun |
| Description | For science lovers 🌏📚💭🧪🔬🌌🔭 |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/science_fun |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 22:02 | 141 | no change |
| 7 Aug 2026, 01:18 | 141 | first reading |
Engagement
20 posts held, back to 30 May 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 47.4%
- avg views ÷ 141 subscribers
- Avg views / post
- 66.9
- 7 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 7
- of 20 held
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 (30 May 2026 – 7 August 2026) |
| Views total | 468 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 22:02 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.
What this channel posts
- Photos
- 212
- Videos
- 501
- Links
- 72
Lifetime counters from Telegram’s own channel header, read 8 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.
- Video runtime
- 1h 11m
- Average length
- 4m 13s
Measured directly from 17 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.
Recent posts
بازگشت انسان به کره ماه بعد از 50 سال ماموریت آرتیمیس که در میانه راه خودش هست قراره تا سال 2028 انسان رو مجددا به کره ماه برسونه با این تفاوت که این بار یک زن و یک رنگین پوست هم در مسافران هست . و البته اهداف جالب سفر به کره مریخ و کسب سود از این مامورت هم جزو این اهداف هست. کره ماه در طول عمر خودش تا جایی که توانسته هلیوم-3 که از خورشید بهش رسیده رو ذخیره کرده و در حال حاضر حدود 1 تا 5 میلیون تن از این ایزوتوپ …
Signed Hamid Bahrami
یادمه یه سالی کامران وفا اومد دانشگاه ما در مورد نظریه ریسمان سخنرانی کنه و آخرش هم سوالات بقیه رو جواب بده، منم دقیقا همون موقع امتحان میانترم معادلات دیفرانسیل داشتم دیگه سریع برگه رو پر کردم به سخنرانیه برسم😁 تقرببا همون موقعی که داشتن ازش سوال میپرسیدن منم رسیدم و داشتن به بقیه میکروفون میدادن تا سوالشون رو بپرسن، منم هر چقدر تلاش کردم آخرش میکروفون رو ندادن بهم، حالا این خیلی اذیتم نکرد ولی یکی یه سوالی ازش پر…
ما واقعا فقط از ۱۰ درصد مغزمون استفاده میکنیم؟ اگه فیلم limitless و lucy رو دیدین (اسپویل) اونجا کاراکترای اصلی با یه نوع دراگ میتونند درصد بیشتری از مغزشون رو فعال کنند و به تمرکز و آگاهی بیشتری برسند. ولی این چقدر علمی و درسته؟ اوایل که داشتن روی مغز تحقیق میکردن هنوز خیلی از بخشهای مغز معلوم نبود چیکار میکنه برای همین یه جمله معروف بین عصبشناسها این بود که فقط ۱۰ درصد مغز برای ما شناخته شده است. بعدا همین …
توضیح علمی این کلیپ یه مفهوم توی مقاومت مصالح هست به اسم Area Moment of Inertia (ممان دوم سطح یا ممان اینرسی سطحی) اگر مثلا یک تیر داشته باشیم و بخواهیم بفهمیم وقتی به آن نیرو وارد کنیم، چقدر در برابر خمشدن مقاومت میکند. دو تا عامل مهم هست: ۱. جنس و مادهی تیر -> مدول الاستیسیته E ۲. شکل و نحوهی پخش شدن سطح مقطع -> ممان دوم سطح I ممان دوم سطح نشان میدهد سطح مقطع یک جسم چقدر و چگونه نسبت به یک محور پخش شده است…
Collatz conjecture! 🆔@science_fun
حجم اطلاعات بیخودی که هر روز وارد مغزمون میکنیم وحشتناک زیاده و مغز ما طی سالها فرگشتی که اخبار و اینترنتی وجود نداشته اصلا برای این حالت طراحی نشده و سازگار نیست. فکر میکنم دلیل این همه استرس، اضطراب، عدم تمرکز و adhd هم که مردم امروزی دارن همین باشه. سعی کنید کمتر پیگیر اخبار باشید و چک کردن گوشی رو به ساعت مشخصی از روز محدود کنید و اصلا صبح اول وقت مخصوصا یک ساعت اول بیداری گوشی و سوشال مدیا رو چک نکنید چون تو…
شبه علم وقتیه که باورهای خرافی مثل قانون جذب، انرژی، ارتعاش، کارما، ماورافیزیک، چاکرادرمانی و عقاید عرفانی از مفاهیم علمی استفاده میکنند تا فرضیههای خودشون رو ثابت کنند این ویدیو رو کامل ببینید اولش شاید فکر کنید که گوینده سعی میکنه با فکت علمی این باورهای غلط رو ثابت کنه ولی عمدا و با زرنگی از فرضیههای خودشون علیه همون باورهای غلط استفاده میکنه پ.ن: معمولا کسی که باور غلطی داره بخاطر سوگیری چیزی که دوست نداشته …
بنظرم برای درک بهتر مکانیزم هورمونها و انتقالدهندههای عصبی حتما این ویدیو رو ببینید چون در مورد بعضیاشون تصورات غلط هست مخصوصا دوپامین و سروتونین و کورتیزول رو شاید بیشتر شنیده باشید مثلا یکسری باور عامیانه هست که دوپامین هورمون لذته، سروتونین هورمون شادیه و کورتیزول هورمون استرسه ولی هیچکدوم کاملا درست نیست 🆔@science_fun
جالبه بدونید خیلی از استادای اینشتین ایدههاش رو جدی نمیگرفتن و مسخرهاش میکردن:) اینجا داره سعی میکنه توضیح بده چرا نور رفتار ذرهای هم داره (یعنی فقط موج نیست) و بعدا با همین ایده تونست اثر فوتوالکتریک رو توضیح بده 🆔@science_fun
بنظرم تو دورهای که هوش مصنوعی و سوشال مدیا خیلی روی تصمیمات زندگی ما تاثیر گذاشتند و تا حدی هم قدرت فکر کردن رو ازمون گرفتند (برای ما که از همون مدرسه این اتفاق افتاد) و بیشتر مواقع هم شاید احساسی تصمیم گرفتیم، این میتونه تمرین خوبی باشه؛ اینکه ایدهها و افکارمون رو بنویسیم. منظمش کنیم و بهشون جهت بدیم، تحلیلشون کنیم و و به مرور بهترش کنیم! حتما در مورد تفکر نقادانه یه سرچ بزنید و سعی کنید فرآیند فکری و نتیجهگیر…
🆔@science_fun
Showing the 12 most recent of 20 posts we hold for @science_fun. 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
Citation-graph rank — 755,346 of 1,169,250entries 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.
Forward network
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.
Mentions
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.
Cite this entry
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“ساینس|science” (@science_fun), 141 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/science_fun.
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.