Technology — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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 why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
9,090 average views per post against 18,273 subscribers — an engagement rate of 49.8%. Across the 5,319 registered channels in the same cohort — 10,006–31,621 subscribers, posting mainly in Persian — the middle half sit between 2.78% and 13.3%, with a median of 6.43%.
What this was computed from
Window
30 days (28 August 2026 – 27 September 2026)
Posts measured
22 of 22 published in the window (1 exact, 21 rounded by Telegram)
Views totalled
200,085
Mature posts only
55.4% over 17 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 27 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
35 measurements spanning 49 days, net -2,036. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 17,968–20,614 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
25 Sept 2026, 01:18
18,273
-134
18 Sept 2026, 15:59
18,407
-38
16 Sept 2026, 06:58
18,445
-110
14 Sept 2026, 15:58
18,555
-39
12 Sept 2026, 23:20
18,594
-34
11 Sept 2026, 00:56
18,628
-36
8 Sept 2026, 03:19
18,664
-39
5 Sept 2026, 00:57
18,703
-37
3 Sept 2026, 05:52
18,740
-74
1 Sept 2026, 22:57
18,814
-139
1 Sept 2026, 02:06
18,953
-36
31 Aug 2026, 03:57
18,989
-57
30 Aug 2026, 04:02
19,046
-114
29 Aug 2026, 04:58
19,160
-15
28 Aug 2026, 03:38
19,175
-10
27 Aug 2026, 01:42
19,185
-25
25 Aug 2026, 22:53
19,210
-16
25 Aug 2026, 01:44
19,226
-32
23 Aug 2026, 11:37
19,258
-27
21 Aug 2026, 22:26
19,285
first reading
Engagement
137 posts held, back to 3 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
49.4%
avg views ÷ 18,273 subscribers
Avg views / post
9,020
21 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
21
of 137 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
137 (3 August 2026 – 2 September 2026)
Views total
189,385
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 02:11 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
Video runtime
9m 23s
Average length
1m 53s
Measured directly from 5 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.
🏠 شیشهای که میتواند نور خورشید را کنترل کند
➖ شیشههای هوشمند (Smart Glass) میتوانند عبور نور یا گرما را با تغییر ویژگیهای نوری خود تنظیم کنند.این فناوری میتواند در ساختمانها برای کاهش مصرف انرژی و کنترل بهتر نور طبیعی استفاده شود.
#SmartGlass #BuildingTech #MaterialsScience #GreenBuilding
🌐 Department of Energy
🚀 @Fanavarz
💰 ۱۰۰ میلیون تومان وام، به همین راحتی!
پول نقد لازم داری، اما نمیخوای رمزارزت رو بفروشی؟
داراییات رو وثیقه بگذار و بدون چک، ضامن و دردسرهای بانکی، برای دریافت وام نقدی یا اعتبار خرید کالا اقدام کن.
با سرویس وام بیت۲۴، خیلی راحت و سریع وام بگیر!
⚡️درخواست وام در بیت۲۴
https://l.b24.ca/q
https://l.b24.ca/q
♨️لیست دپارتمان های تخصصی همه رشته های گروه آموزشی پارس پژوهان👇
(کلیک کنید👇)
مهندسی مکانیک | مهندسی برق و کامپیوتر
نفت،گاز،تاسیسات و انرژی |مهندسی شیمی
مهندسی مواد و متالورژی | مهندسی پزشکی
مهندسی معماری | مهندسی عمران| پروژه ها
مهندسی صنایع | مدیریت | مهندسی هوافضا
📌کافیه تو هر کدوم از دپارتمان ها که مربوط به رشته خودتون هست یه سرچ بزنید، همه منابع و دوره ها رو در اختیار دارید
🧐 آیا میتوان بدون نشاندادن هویت، ثابت کرد چه کسی هستیم؟
🔹 فناوری Zero-Knowledge Proof اجازه میدهد یک طرف بتواند درستبودن یک اطلاعات را ثابت کند، بدون اینکه خود اطلاعات را افشا کند.
مثلاً میتوان ثابت کرد فردی بالای یک سن مشخص است، بدون اینکه تاریخ تولد کامل خود را ارائه دهد.
#CyberSecurity #ZeroKnowledgeProof #PrivacyTech #WebSecurity
🌐 Ethereum Foundation / Cryptography Research
🚀 @Fanavarz
💥 انرژی از حرکت امواج اقیانوس
🌟 اقیانوسها دائماً در حرکتاند و فناوریهای Wave Energy تلاش میکنند این حرکت مکانیکی را به برق تبدیل کنند.برخلاف انرژی خورشیدی و بادی، این حوزه هنوز در مسیر توسعه تجاری است و چالشهایی مانند دوام تجهیزات در محیط سخت دریایی وجود دارد.
#OceanEnergy #CleanEnergy #RenewableTech #ClimateInnovation
🌐 International Energy Agency
🚀 @Fanavarz
🌟 واکسنهایی که با الگوریتم طراحی میشوند
🌟 طراحی واکسنهای جدید میتواند از تحلیل حجم عظیمی از دادههای زیستی کمک بگیرد. الگوریتمها میتوانند بخشهایی از مولکولها را که احتمال ایجاد پاسخ ایمنی دارند شناسایی و اولویتبندی کنند.این رویکرد میتواند زمان مراحل اولیه طراحی را کاهش دهد؛ اما آزمایشهای دقیق آزمایشگاهی و بالینی همچنان ضروری هستند.
#VaccineTech #AIHealth #Biotechnology #MedicalInnovation
🌐 WHO / Nature B…
هرکی یه vibe داره،
هر vibe یه رایحه😎
۵ رایحه جدید AXE،
برای هر vibe که داری
رایحهتو پیدا کن وبازیتو عوض کن✨
👇👇خرید از اسنپ👇👇
🔗بازی رو عوض کن
👇👇خرید از دیجی کالا👇👇
🔗بازی رو عوض کن
🤩 هوش مصنوعی میتواند آزمایشگاه را خودش هدایت کند
⚗️ در مفهوم AI Scientist / Autonomous Laboratory، هوش مصنوعی فقط تحلیلگر داده نیست؛ بلکه میتواند فرضیه پیشنهاد دهد، آزمایش طراحی کند، نتایج را بررسی کند و مرحله بعدی تحقیق را انتخاب کند.هدف این فناوری جایگزینکردن دانشمند نیست؛ بلکه افزایش سرعت کشف در حوزههایی مثل مواد جدید، دارو و شیمی است.
#هوش_مصنوعی #AutonomousLab #AIResearch #FutureScience
🌐 Nature / AI Rese…
🤖 ربات آینده شاید از تار عنکبوت الهام بگیرد
🤩 تار عنکبوت نسبت به وزن خود، ترکیبی جالب از استحکام و انعطافپذیری دارد. به همین دلیل دانشمندان سالهاست ساختار و فرایند تولید آن را برای طراحی مواد مصنوعی بررسی میکنند.هدف، ساخت موادی با عملکرد مشابه است؛ نه تولید یک «تار مصنوعی جادویی».
#Biomimicry #AdvancedMaterials #SpiderSilk #FutureTech
🌐 Nature Materials
🚀 @Fanavarz
🦾 گاهی برای دیدن یک شهر باستانی نیازی به حفاری نیست
🤩 فناوریهایی مانند LiDAR میتوانند با ارسال پالسهای لیزری و اندازهگیری بازتاب آنها، مدل دقیقی از سطح زمین ایجاد کنند.در مناطق جنگلی، این دادهها گاهیساختارهای پنهان زیر پوشش گیاهی را آشکار میکنند؛ بدون اینکه ابتدا زمین را حفاری کنند.
#LiDAR #Archaeology #RemoteSensing #DigitalHeritage
🌐 Smithsonian Institution
🚀 @Fanavarz
🔥 گرمای کارخانهها میتواند دوباره تبدیل به انرژی شود
🏭 در بسیاری از صنایع، مقدار قابلتوجهی انرژی به شکل Waste Heat از دودکشها، کورهها یا فرایندهای صنعتی خارج میشود.فناوریهایی مانند Thermoelectric Generators و سامانههای بازیابی حرارت تلاش میکنند بخشی از این انرژی تلفشده را دوباره قابل استفاده کنند.
#EnergyRecovery #WasteHeat #CleanTech
🌐 U.S. Department of Energy Industrial
Efficiency
🚀 @Fanavarz
⚡️ رباتهایی که زبالههای اقیانوس را پیدا میکنند
🗑 برای مقابله با زبالههای دریایی، پژوهشگران از رباتها، پهپادها و سامانههای تصویربرداری برای شناسایی و پایش آلودگی استفاده میکنند.
ترکیب Computer Vision با رباتیک میتواند تشخیص زباله را در مقیاس بزرگتر و با دخالت انسانی کمتر امکانپذیر کند.
#OceanCleanup #Robotics #ComputerVision #ClimateTech
🌐 NOAA Marine Debris Program
🚀 @Fanavarz
Showing the 12 most recent of 137 posts we hold for @Fanavarz. 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.
Forward network
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.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
عَبدُل آباد @AbdolAbadTel · 36,027 Telegram ranks this channel #73 of 76 here — alongside 75 others — read 1 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“فناورز | نگاهی به آینده و تکنولوژی” (@Fanavarz), 18,273 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/Fanavarz.
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.