بنام آفریدگار دانا
با هشت سال تولید محتوی وزین
بهترین کانال تلگرام از لحاظ تولید محتوی
کانال منتخب تلگرام بر اساس نظرسنجی 2020
بهترین کانال علمی تلگرام
🕊 تبلیغات 👇
@wikiadsu
Created
Between 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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.
Previous handles
Recorded in 2019 as “از تخیل تا واقعیت” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
Growth
65 measurements spanning 98 days, net -423. 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 12,366–12,915 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
11 Nov 2026, 09:19
12,429
-1
9 Nov 2026, 17:00
12,430
-2
8 Nov 2026, 11:17
12,432
-3
7 Nov 2026, 08:25
12,435
-8
6 Nov 2026, 08:07
12,443
-1
5 Nov 2026, 04:51
12,444
-2
4 Nov 2026, 01:29
12,446
-8
2 Nov 2026, 22:55
12,454
-3
1 Nov 2026, 23:16
12,457
-1
1 Nov 2026, 00:48
12,458
-3
30 Oct 2026, 23:36
12,461
-1
29 Oct 2026, 22:36
12,462
-1
28 Oct 2026, 21:30
12,463
-3
27 Oct 2026, 19:40
12,466
-5
26 Oct 2026, 22:06
12,471
-5
25 Oct 2026, 23:36
12,476
-2
24 Oct 2026, 23:38
12,478
-1
24 Oct 2026, 01:26
12,479
-8
23 Oct 2026, 04:19
12,487
-3
22 Oct 2026, 06:56
12,490
first reading
Engagement
82 posts held, back to 24 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 67 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.9%
avg views ÷ 12,429 subscribers
Avg views / post
1,610
22 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
23
of 82 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 9 November 2026
Posts held
82 (24 July 2026 – 9 November 2026)
Views total
35,408
Reactions total
516
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 08:48 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
≈9,540
Videos
≈5,990
Links
≈648
Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 11s
Average length
26s
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.
Reaction mix
1,894 reactions across 79 posts, in 21 distinct kinds. The most used accounts for 41.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
784
41.4%
❤
773
40.8%
👏
75
3.96%
🤔
64
3.38%
🤯
43
2.27%
👎
40
2.11%
😁
28
1.48%
🔥
24
1.27%
😱
14
0.739%
👌
10
0.528%
🏆
7
0.37%
😢
7
0.37%
😐
6
0.317%
🥰
6
0.317%
🙏
5
0.264%
😭
3
0.158%
⚡
1
0.053%
🎉
1
0.053%
😍
1
0.053%
🤡
1
0.053%
1 further kind
1
0.053%
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 81 of the 82 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 1,973 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 82 most recent posts we hold, published 24 July 2026 to 9 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 23 posts held from the last 30 days (4.35%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
دانشمندان به چه چیزی پی بردهاند؟
جهان از زمان وقوع بیگبنگ در حال انبساط است و اخترشناسان برای محاسبه سرعت گسترش فضا در زمان کنونی، از معیاری به نام «ثابت هابل» استفاده میکنند.
اما یک مشکل وجود دارد!
وقتی دانشمندان سرعت انبساط جهان را با استفاده از ستارگان و کهکشانهای نزدیک اندازهگیری میکنند، به عددی در حدود ۷۳ کیلومتر بر ثانیه به ازای هر مگاپارسک میرسند.
اما وقتی همین سرعت را با استفاده از مشاهدات جهان اول…
تلسکوپ فضایی جیمز وب ناسا، اندازهگیریهایی را تأیید کرده که یکی از بزرگترین معماهای اخترشناسی مدرن را پیچیدهتر میکند؛ معمایی که با نام «تنش هابل» (Hubble Tension) شناخته میشود.
@wikispace 💫👇
در معماری آرامگاههای سلطنتی مصر، از سنگهای مسدودکننده برای بستن مسیرهای منتهی به اتاق تدفین استفاده میشد.
این هرم متعلق به ملکه نفرههتپس، همسر فرعون اوسِرکاف و مادر ساحورع بوده است؛ هرچند انتساب آن بر اساس شواهد باستانشناسی انجام شده، نه کتیبهای که مستقیماً در خود هرم پیدا شده باشد.
نکتهای که ارزش بررسی دارد: این سنگها و نحوه قرارگیری آنها پرسش جالبی درباره روشهای مهندسی مصریان باستان برای ساخت ورودیهای زی…
این مکان میتواند خیابانی خلوت، ساختمانی غیرمعمول، محلهای فراموششده یا گوشهای ساکت باشد که گویی زمان در آن متوقف شده است. جالب اینجاست که با وجود هزاران کیلومتر فاصله میان این شهرها، افراد مدعیاند این مکانها حالوهوایی تقریباً یکسان دارند؛ حسی عجیب که انگار پیش از این، همه ما آنجا را دیدهایم.
این ایده در فضای مجازی مورد توجه قرار گرفته و افراد زیادی عکسهایی از مکانهای ظاهراً معمولی در کشورهای مختلف منتشر کرد…
نظریهای عجیب که در فضای اینترنت دستبهدست میشود، ادعا میکند تقریباً در هر شهر دنیا، مکان خاصی وجود دارد که به شکلی مرموز برای انسان آشنا به نظر میرسد؛ انگار قبلاً آنجا بودهایم!
@wikispace 💫👇
یونگ همزمانی را اتفاقهای همزمانِ معنادار تعریف کرد، جایی که حالتهای روانشناختیِ درونی با رویدادهای بیرونی همراستا میشوند. وقتی به کسی فکر میکنید و او با شما تماس میگیرد، این نه شانس تصادفی است و نه رابطهی علت و معلولی. او این الگوها را طی چندین دهه ثبت کرد و به این نتیجه رسید که روان و دنیای بیرون از طریق یک لایهی مشترک با هم تعامل دارند، جایی که ذهن و ماده به هم میرسند.
یونگ ۲۰ سال با ولفگانگ پائولی، فیز…
کارل یونگ دلیل این را بررسی کرد که چرا درست قبل از تماس کسی به او فکر میکنید. او همزمانی (سینکرونیسیتی) را کشف کرد: زمانی که حالت درونی شما از طریق «معنا» و نه «علیت» با رویدادهای بیرونی پیوند میخورد. علوم اعصاب مدرن نورونهای آینهای و همگامسازی مغزی را یافته است که شاید بتواند توضیح دهد این پدیده چگونه کار میکند.
@wikispace 💫 👇
ویکی اسپیس pinned «الان که همه رفتن تو نخ طلا و سکه و.... بازار رمزارز داره بی سروصدا رشد می کنه این روزها کمتر بازار مالیای را میتوان پیدا کرد که مثل رمزارزها هیجان و بازدهی داشته باشد. وقتی در سکوت خبری، آمارها از یک جهش واقعی حرف میزنند، شاید وقت آن رسیده که نگاهی جدیتر…»
بر اساس توافقی با دولت مصر، قرار بود چند کیلومتر دورتر از مجموعهٔ اهرام جیزه، یک هرم نمونه با ارتفاع ده متر و با دقت بسیار زیاد ساخته شود.
این سازه در مقایسه با هرم بزرگ، مدلی نسبتاً کوچک بود. وزن بلوکهای آهکی مورد استفاده نیز حداکثر یک تُن تعیین شده بود؛ یعنی سبکتر از بلوکهای اصلی اهرام که بهطور میانگین سه تُن وزن داشتند.
گروه پژوهشی تلاش خود را بر استفاده از روشهای باستانی پیشنهادی باستانشناسان متمرکز کرد. …
در سال ۱۹۷۷، گروهی از دانشمندان و مهندسان ژاپنی طرحی آزمایشی را آغاز کردند تا راز بزرگ ساخت اهرام جیزه در مصر را حل کنند.
هدف اصلی این پروژه، آزمایش عملی نظریهٔ «رمپ بزرگ» بود؛ رایجترین فرضیه دربارهٔ چگونگی انتقال بلوکهای سنگی عظیم توسط مصریان باستان به بالای هرم.
@wikispace 💫👇
بیشتر وسایل نقلیه سنگین برای حرکت در شیبهای طولانی حدود ۶ تا ۸ درصد طراحی شدهاند. شیبهای بسیار تندتر میتوانند باعث داغ شدن بیش از حد ترمزها هنگام سرازیری، از دست رفتن چسبندگی لاستیکها هنگام سربالایی و افزایش چشمگیر خطر تصادف شوند.
مسیر طولانی و مارپیچ جاده باعث میشود شیب متوسط آن قابلکنترل باقی بماند و در عین حال، خودروها بتوانند ارتفاع لازم را بهتدریج بالا بروند یا پایین بیایند.
ساخت یک جاده مستقیم در چنین…
جادههای کوهستانی مانند این، عمداً با پیچهای تند و پیدرپی ساخته میشوند؛ دلیلش هم ساده است: قوانین جاذبه و فیزیک خودروها با کسی شوخی ندارند!
اگر قرار بود جاده بهصورت مستقیم از سراشیبی کوه پایین بیاید، شیب آن بسیار بیشتر از حدی میشد که کامیونها، اتوبوسها و خودروهای معمولی بتوانند با ایمنی از آن بالا بروند یا پایین بیایند.
@wikispace 💫👇
👍14❤2
Showing the 12 most recent of 82 posts we hold for @wikispace. 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
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 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.
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.
SUPERNOOVA™ @SuperNoova · 43,421 Telegram ranks this channel #7 of 79 here — alongside 78 others — read 28 August 2026
دنياى گمشده @lostworldss · 33,380 Telegram ranks this channel #12 of 86 here — alongside 85 others — read 4 September 2026
شگفتیها و عجایب دنیا @ajaiebdonia · 35,490 Telegram ranks this channel #14 of 66 here — alongside 65 others — read 2 September 2026
نجوم 🛰 @njoom2070 · 30,498 Telegram ranks this channel #23 of 93 here — alongside 92 others — read 6 September 2026
حقایق باورنکردنی @the_fact · 20,308 Telegram ranks this channel #24 of 46 here — alongside 45 others — read 26 September 2026
جهانهای موازی™ @Parallel_WORLDS · 30,433 Telegram ranks this channel #26 of 85 here — alongside 84 others — read 6 September 2026
کانال علمی بیگ بنگ @big_bangpage · 39,445 Telegram ranks this channel #29 of 98 here — alongside 97 others — read 31 August 2026
ناسا | فارسی🚀 @nasa_farsii · 19,897 Telegram ranks this channel #30 of 84 here — alongside 83 others — read 29 September 2026
تایم لاین خبر @timelinekhabar · 23,839 Telegram ranks this channel #46 of 73 here — alongside 72 others — read 15 September 2026
دنیای ناشناخته @wonderfullllll · 36,175 Telegram ranks this channel #47 of 78 here — alongside 77 others — read 2 September 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“ویکی اسپیس” (@wikispace), 12,429 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/wikispace.
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.