آموزش رایگان آمادگی آزمون ورود به حرفه( عمران+معماری)
طرح سوالات و ابهامات :👇👇👇👇
@Mostafa2goharani
گروه پرسمان آزمون( ارشد، دکتری، ورودبه حرفه)👇👇
http://t.me/joinchat/BCg65T5-7DJxfUur79_rtA
Created
Between 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 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 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.
Content that also appears on other registered channels
Posts published here appear word for word on 6 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 6 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 14 comparable posts for this entry, running 20 January 2022 to 24 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 7, the earliest publisher we hold is @College808. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 6 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
2 measurements taken within a single day. 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 429–431 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 19:19
430
no change
6 Aug 2026, 00:27
430
first reading
Engagement
20 posts held, back to 20 January 2022 — 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
10.8%
avg views ÷ 430 subscribers
Avg views / post
46.3
4 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
4
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 24 July 2026
Posts held
20 (20 January 2022 – 24 July 2026)
Views total
185
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 19:19 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
≈1,230
Videos
≈306
Links
≈486
Lifetime counters from Telegram’s own channel header, read 6 August 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.
*کافیست خودتان را درون موقعیت تصور کنید...
*
تصور کنید با انسانی دیگر در موقعیتی دشوار برای عبور از صخره ای خطرناک همسفر هستید که هر آن امکان سقوط در آن برای هر دو شما است به علاوه هر حرکتی از سوی شما میتواند شانس بقا یا سقوط طرف مقابلتان را افزایش دهد. در این حالت اگر نفر مقابلتان دستش را برای کمک به سمت شما دراز کرد چه میکنید؟
آیا پیش خودتان نمیگویید این همانی بود که تا دیروز تا حرفی میزدم بر رویم اسلحه می کشید و ب…
سال ها پیش بعد آشنایی با مرحوم مهندس معین فر از طریق ایشان با انجمنی از مهندسان ساختمان(اسم نمی آورم) آشنا شدم که ظاهرا بعد تاسیس توسط ایشان(در قبل از انقلاب) خود ایشان در آن فعالیتی نداشتند و سال ها بود که اسم ثبت شده این انجمن خاک خورده بود و تنها توسط تعدادی از پروفسورهای عزیز به محفلی خانوادگی برای دورهمی های آخر هفته اشان تبدیل شده بود.
خلاصه بعد چند فعالیت همایش و دوره و این ها که برای این انجمن با اطلاع رسانی …
بحران سوئز--تنگه هرمز
از تجربه تاریخی علیه سکوت امروز چپ مقاومتی
بحران امروز از جهاتی دقیقا مشابه الگوی قبلی تاریخی خود در بحران سوئز در سال 1956 میباشد
بحرانی که بر سر تصاحب مالکیت و بستن تنگه (کانال سوئز) رخ داد.
منتها میدانیم که کانال سوئز با تنگه هرمز تفاوت ها دارد.
اما آنچه اهمیت دارد امروز به آن دقت کنیم مواضع روشنکفران در آن زمان نسبت به این بحران و انقلابی که در پی آن با دخالت شوروی برای سرکوب آن در مجارست…
خاک این سرزمین بدجور جون میده برای عزلت نشینی!
در روزهایی به سر میبریم که میبایست از درون تاریخ کشور خودمان به زور به دنبال معدود الگوهای مرتبط با این روزها بگردیم تا بلکه راه چاره ای برای خروج از بن بست سیاسی الان کشورمان پیدا کنیم
اتفاقا بین محمد سامتینگ های تاریخ خودمان یکیشون ولی یکی بود که اومد یک کارهایی هم بکند که عزلت نشین اش کردند.
امروز که یک عده افراطی جنگ طلب در سیاست کشور به نوکر حرف گوش کن پوتین در ا…
صرفا برای تامین هزینه تمدید سرور سایت و تنها به مدت 24 ساعت
امکان خرید دانلودی برای برخی از محصولات آموزشی 808 فراهم شده است.
در ادامه متن این پست:
https://t.me/Civil808_Admin/78
در مدت کوتاه تعیین شده بعد از انتخاب جهت واریز میتوانید به آیدی پشتیبانی پیام دهید تا خدمتتان شماره کارت بفرستم و بعد لینک دانلود را خدمتتان ارسال کنم.
چند نکته مهم:
-ممکن است قبلا به طرق دیگه مثلا توسط دلاورمردانی در عرضه فضای مجازی لینک…
بلبل و گل رز سرخ: (یادداشت موقت به مناسبت عاشورا تاسوعای امسال)
داستان Nightingales and the rose را لابد به خاطر دارید.
اصل آن از اشعار حافظ است اما اسکار وایلد در داستان کوتاهی در سال 1888 به زیبایی آنرا بازسرایی میکند.
خلاصه اش این است:
پسرکی کارگر عاشق دختری می شود و در رقابت با پسر ثروتمند دیگر، برای دلربایی از دختر به دنبال چیدن گل رز سرخی می رود. در این راه بلبل به او کمک میکند اما به دلیل خارهای به جا مانده …
سلام
این گروه جایی برای تبادل B2B خدمات شرکت ها و ثبت نیازمندی ها به علاوه حفظ شبکه ارتباطی بین همه فعالان صنعت ساختمان در دوره حساس تاریخ معاصر کشورمان است.
www.Civil808.com
لینک گروه Civil808 در تلگرام:
https://t.me/+828ibcgZ6FQ5ZTFk
برنامه های عمرانی ماشین حساب+ماشین حساب کاسیو الجبرا و کلاسپد (ویژه آزمون محاسبات ورود به حرفه ؛ مهندسین محاسب و دانشجویان)
↙️↙️لینک تهیه:
Civil808.com/node/8424
@TV808
مزایای فلوچارت های رایگان مبحث ۱۰، ۷ و استاندارد ۲۸۰۰ (ویژه آزمون محاسبات و مناسب طراحان و دانشجویان):
پوشش بیش از ٪۹۰ مطالب آزمون.
همراه داشتن منبعی مطمئن در سر جلسه آزمون.
ایجاد تمرکز ذهنی و جلو گیری از آشفتگی ذهن در زمان مطالعه و آزمون.
کاهش زمان مطالعه و عدم نیاز به خلاصه نویسی.
کاهش زمان پاسخ دهی به سوالات آزمون.
ادامه مطلب:
Civil808.com/node/25001
@TV808
⚡️⚡️تا 50% تخفیف در جشنواره پایان سال 808
شامل کلیه نرم افزار ها، عضویت VIP ، تعرفه تبلیغاتی به علاوه کلیه دوره های آنلاین و محصولات فیلم و ایبوک آموزشی
↙️↙️بزرگترین جشنواره تخفیف سالانه 808 را از دست ندهید:
Civil808.com/landing/1401
📢50% تخفیف عضویت VIP اعضای حقیقی 808
به مناسب جشنواره پایان سال تا 29 اسفند
برخی از مزایای عضویت VIP:
- 10% تخفیف برای استفاده از دوره ها و محصولات آموزشی
- استفاده از امکان 10% شارژ هدیه از طریق اپلیکیشن 808 پلاس
- دسترسی رایگان به کلیه محتوای تخصصی مقالات تحلیلی سایت و بخش گالری ویدئو از طریق اپلیکیشن
- امکان ارتباط نامحدود با سایر کاربران سایت
- دریافت خودکار آخرین موقعیت های شغلی در صنعت ساختمان ویژه اعضای VIP
…
Showing the 12 most recent of 20 posts we hold for @ENG808. 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
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@ENG808 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@pub808 named in 2 posts, 8 August 2026 – 8 August 2026
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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“آموزش رایگان ورود به حرفه( عمران+معماری)” (@ENG808), 430 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/ENG808.
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.