Channel
@biokhaleghi89
On this record: Growth · Engagement · Posts · Citations · Cite this entry
843subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001281741762 |
|---|---|
| Type | Channel |
| Username | @biokhaleghi89 |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 20 August 2026 |
| On Telegram | t.me/biokhaleghi89 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 13:06 | 843 | -1 |
| 6 Aug 2026, 14:52 | 844 | no change |
| 6 Aug 2026, 13:26 | 844 | first reading |
16 posts held, back to 9 July 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 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 5 August 2026 |
|---|---|
| Posts held | 16 (9 July 2026 – 5 August 2026) |
| Views total | 625 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 14:52 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.
CRISPR gene editing explained: from bacterial immune system to DNA editing tool 🧬 CRISPR did not start as a lab invention. CRISPR stands for Clustered Regularly Interspaced Short Palindromic Repeats — a DNA memory system bacteria use against viruses. The beginner version: 🦠 A virus attacks a bacterium 🧬 The bacterium stores a tiny piece of viral DNA — deoxyribonucleic acid 🎯 A guide RNA — ribonucleic acid — helps…
Uploaded by 147255299
چگونه DNA هویت یک مجرم را فاش میکند؟ 🧬 آیا میتوان تنها با یک نمونه خون، بزاق یا مو، هویت یک فرد را مشخص کرد؟ یکی از مهمترین ابزارهای پزشکی قانونی برای این کار، ژل الکتروفورز است؛ تکنیکی که قطعات DNA را بر اساس اندازه از یکدیگر جدا میکند. 📚 در این ویدیو به زبان ساده با موارد زیر آشنا میشوید: 🔹 ژل الکتروفورز چیست و چگونه کار میکند؟ 🔹 چرا الگوی قطعات DNA در افراد با یکدیگر متفاوت است؟ 🔹 چگونه از این تفاوتها برا…
اصطلاحات ژنتیکی: 🧬 Penetrance احتمال اینکه یک ژن واقعاً باعث بروز یک صفت یا بیماری بشه. 🧬 Expressivity شدت یا نحوه بروز یک صفت ژنتیکی در افراد مختلف. 🧬 Linkage Disequilibrium (LD) ارتباط غیرتصادفی بین آللهای دو جایگاه روی DNA؛ یکی از مهمترین مفاهیم در مطالعات GWAS. 🧬 Haploinsufficiency وقتی فقط داشتن یک نسخه سالم از ژن برای عملکرد طبیعی کافی نیست. 🧬 Epistasis تأثیر یک ژن روی اثر ژن دیگر؛ یکی از مفاهیم مهم در ژ…
آیا می دانید رژیم غذایی شما ارتباط مستقیمی با سلامتی شما دارد؟ 🆔 @irbioinformatics
اساس مولکولی عشق نویسنده: Jaroslava Babková Gabriela Repiská سال انتشار: 2025 ژورنال: International Journal of Molecular Sciences ...لینک مقاله... 🆔@irbioinformatics
*پاسخنامه قابل استناد* #آزمون #نهایی زیست 3 #دوازدهم 28 تیرماه 1405 @biofilmofficial نسخه بدون واترمارک😉
#دوازدهم #سوالات_آزمون_نهایی داخل و خارج کشور صبح روزانه ؛ بزرگسالان و داوطلبان آزاد 🔺زیست شناسی 3 پایه دوازدهم تاریخ امتحان : 28 تیر 1405 نسخه بدون واترمارک 🌺 @zistpayam @zistpayam2 🌺
🔴پاسخنامه زیست #یازدهم تیرماه ۱۴۰۵ | رسمی مركز ارزشیابی و تضمین كیفیت نظام آموزش و پرورش 📱 @Farahmandnia_biology
File, posted without a caption
آزمون شبیهساز نهایی 1405 #آزما سری 1 ؛ روح گذشته #پایه_دوازدهم (زیست3) تاریخ برگزاری آزمون : 1405/04/27 ساعت شروع آزمون : 8 صبح مدت زمان آزمون : 90 دقیقه زمان انتشار پاسخنامه : 9:30 صبح سطح آزمون : متوسط تا دشوار و آموزشی منبع : سوالات و آزمونهای هماهنگ و نهایی کشوری گذشته با تغییر و ترکیب " آزمونهای آزما برای همهی ما" @AZMABio
پاسخنامه آموزشی آزمون شبیهساز نهایی 1405 #آزما سری 1 ؛ روح گذشته #پایه_دوازدهم (زیست3) تاریخ برگزاری آزمون : 1405/04/27 ساعت شروع آزمون : 8 صبح مدت زمان آزمون : 90 دقیقه زمان انتشار پاسخنامه : 9:30 صبح سطح آزمون : متوسط تا دشوار و آموزشی منبع : سوالات و آزمونهای هماهنگ و نهایی کشوری گذشته با تغییر و ترکیب * حتماً سوالات را صرفنظر از نتیجه و پاسخ، بطور کامل تحلیل کنید * " آزمونهای آزما برای همهی ما" @AZMABio
Showing the 12 most recent of 16 posts we hold for @biokhaleghi89. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“@biokhaleghi89” (@biokhaleghi89), 843 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/biokhaleghi89.
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.