موسسه آموزش عالی توسعه
مرجع تخصصی آموزش علوم داده، هوش مصنوعی، تحلیل داده، هوش تجاری و بازاریابی دادهمحور
اطلاعرسانی دورههای تخصصی، وبینارهای آموزشی و رویدادهای موسسه توسعه
مدیریت کانال: @tiheedu8
Created
17 October 2015 — measured — cross-checked against a third-party dataset (TGDataset)
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 the other topics.
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 in near-verbatim form on 6 other registered channels. This entry also sits inside a group of 9 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 6 of the 8 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 93 comparable posts for this entry, running 26 July 2026 to 10 November 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).
Of the group of 9 channels, the one whose matching posts we hold earliest is @iedep. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 9 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
27 measurements spanning 95 days, net +507. 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 8,305–8,964 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
8 Nov 2026, 19:22
8,888
+6
5 Nov 2026, 21:15
8,882
+4
3 Nov 2026, 06:49
8,878
+24
31 Oct 2026, 14:06
8,854
+9
28 Oct 2026, 15:28
8,845
+11
25 Oct 2026, 06:16
8,834
+15
22 Oct 2026, 05:58
8,819
+15
19 Oct 2026, 06:00
8,804
+8
16 Oct 2026, 14:27
8,796
+15
13 Oct 2026, 19:41
8,781
+60
8 Oct 2026, 07:55
8,721
+63
1 Oct 2026, 14:19
8,658
+99
16 Sept 2026, 20:20
8,559
+34
13 Sept 2026, 08:00
8,525
+14
9 Sept 2026, 13:38
8,511
+15
4 Sept 2026, 01:58
8,496
+9
1 Sept 2026, 02:26
8,487
+18
29 Aug 2026, 10:27
8,469
-2
26 Aug 2026, 18:08
8,471
+11
23 Aug 2026, 21:28
8,460
first reading
Engagement
96 posts held, back to 26 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.5%
avg views ÷ 8,888 subscribers
Avg views / post
1,110
38 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
39
of 96 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 10 November 2026
Posts held
96 (26 July 2026 – 10 November 2026)
Views total
42,215
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 16:42 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
≈3,330
Videos
≈157
Links
≈2,430
Lifetime counters from Telegram’s own channel header, read 11 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 52s
Average length
1m 26s
Measured directly from 2 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
Telegram’s own ‘edited’ marker: 14 of 39 posts held from the last 30 days (35.9%) 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).
🔥 وبینار رایگان «#تفکر_داده_محور در تصمیمهای منابع انسانی» 📊🚀
🎯چطور میتوان با استفاده از دادهها، تصمیمهای هوشمندانهتری در منابع انسانی گرفت و از مدیریت سنتی به مدیریت دادهمحور رسید؟
🎙 سخنران: مهندس خسروی
🔹 مدیر سابق منابع انسانی دیجیکالا
💡 در این وبینار:
🔹 آشنایی با مفهوم و ضرورت منابع انسانی دادهمحور
🔹 بررسی تاریخچه و سیر تحول People Analytics
🔹 شناخت دادهها و شاخصهای کلیدی منابع انسانی
🔹 بررسی نقش هوش …
🚀 وبینار رایگان «از کار با ChatGPT تا AI Generalist» 🤖🌌
🎯 فقط کار با ChatGPT کافی نیست!
💡 در این وبینار بررسی میکنیم:
🔹 آشنایی با مفهوم AI Generalist و نقش آن در دنیای امروز
🔹 فراتر رفتن از ChatGPT و شناخت دنیای ابزارهای هوش مصنوعی
🔹 چطور از ابزارهای مختلف AI برای افزایش بهرهوری استفاده کنیم؟
🔹 مهارتهای موردنیاز برای تبدیل شدن به یک متخصص AI Generalist
🔹 مسیر یادگیری و فرصتهای پیشرو در دنیای هوش مصنوعی
🎙 سخنر…
🚀 وبینار رایگان «#مسیر_یادگیری_علم_داده_و_هوش_مصنوعی» 🧭🤖
🎯 به دنیای علم داده و هوش مصنوعی علاقه داری، اما نمیدونی از کجا شروع کنی و چطور از تحلیل داده به ساخت مدلهای هوشمند برسی؟
💡 در این وبینار بررسی میکنیم:
🔹 علم داده و هوش مصنوعی چه نسبتی با هم دارند؟
🔹شاخهها و نقشهای شغلی داده و AI
🔹نقشه یادگیری: از علم داده تا هوش مصنوعی
🔹بازار کار مشاغل داده و AI
🔹از کجا شروع کنم؟ پروژهها و اشتباهات رایج
🗓 شنبه ۲۳ آبان…
🔴 ظرفیت 20 نفر اول برای ثبت نام تکمیل شد
🟢 #تخفیف_ویژه برای 20 نفر دوم فعال شد
🔥 جدیدترین دوره موسسه توسعه در حال ثبت نام است...
💻 دوره آنلاین و جامع «تحلیل و توسعه کسب و کار داده محور»
🔴 تبدیل تحلیل به تصمیمهای مدیریتی
✔️ بــــدون پیـــشنیــازی
💻سرفصلها:
🔸 شناخت و صورتبندی مسائل کسب و کار
🔹شاخصهای کلیدی عملکرد در کسب و کار
🔸 بکارگیری آمار مهندسی در تحلیل کسب و کار
🔹تحلیل دادههای کسب و کار با Excel، Python و…
📣 وبینار رایگان «آشنایی با هوش تجاری» 📊💼
🎙 سخنران:
⭐️ مهندس امیر ایمنپور
✔️ مدیر و تحلیلگر کسبوکار، مدرس و مشاور هوش تجاری
💡 در این وبینار بررسی میکنیم:
🟠 هوش تجاری چیست و چه کاربردی دارد؟
🟠 چرا باید هوش تجاری را یاد بگیریم؟
🟠 چگونه باید از هوش تجاری برای پیشرفت شغلی استفاده کنیم؟
🟠 فرصتهای موجود استفاده از هوش تجاری در ایران و خارج از کشور
🟠 پرسش و پاسخ
📆 دو شنبه |۱۸ آبان
⏱️ ساعت ۲۰
📌 ثبتنام رایگان | ظرفیت …
به دلیل زمان اندک تا شروع دوره جامع و آنلاین علم داده (DATA SCIENCE)، برای ثبت نام با #تخفیف_وبینار، مستقیماً به خانم فراهانی پیام ارسال کنید:
👉 https://t.me/farahani_tihe
کد 42 دوره #دیتا_ساینس
شروع از 25 آبـــان
دوشنبه ها ساعت ۱۸ الی ۲۱:۳۰
پنجشنبه ها ساعت ۱۴ الی ۱۷:۳۰
#در_حال_تکمیل_ظرفیت
✨ موسسه آموزشی توسعه
➖➖➖➖➖➖➖➖➖➖
🌐 https://tihe.ac.ir
📞 02188933620
سومین دورهمی هممسیر با حضور گرم شما عزیزان برگزار شد
🤝هممسیر، شبکه ارتباطی دانشجویان و فارغالتحصیلان مؤسسه توسعه، فرصتی برای شکلگیری ارتباطات مؤثر و ارزشمند است.
🌱 جایی برای آشنایی، تبادل تجربه، تیمسازی و خلق فرصتهای تازه؛ جایی برای رشد و پیشرفت در کنار یکدیگر.
از همراهی شما در سومین دورهمی هممسیر خوشحالیم. ❤️
هممسیر ادامه دارد...
هر دیدار، یک آشنایی تازه؛ هر آشنایی، فرصتی برای ساختن آیندهای متفاوت!
🛣 هم…
🦾 شروع قطعی 42اُمین دوره علم داده (Data Science)
🧠 از مفاهیم پایه تا پروژههای واقعی
🐍 به همراه آموزش Python و SQL Server
🥇 یادگیری ماشین (ML) | شبکههای عصبی | سریهای زمانی
🔥 آموزش با Case Study ها و تحلیلها از صنایع و حوزههای متعدد
✅ بــدون پیـشنیـــازی
🗓شروع قطعی دوره: 25 آبان 1405
دوشنبهها (18 الی 21) و پنجشنبهها (14 الی 17)
⛔️ #در_حال_تکمیل_ظرفیت
🌎 مشاهده جزئیات دوره:
👉 https://tihe.ac.ir/product/data…
🔥 وبینار رایگان «#تفکر_داده_محور در تصمیمهای منابع انسانی» 📊🚀
🎯چطور میتوان با استفاده از دادهها، تصمیمهای هوشمندانهتری در منابع انسانی گرفت و از مدیریت سنتی به مدیریت دادهمحور رسید؟
🎙 سخنران: مهندس خسروی
🔹 مدیر سابق منابع انسانی دیجیکالا
💡 در این وبینار:
🔹 آشنایی با مفهوم و ضرورت منابع انسانی دادهمحور
🔹 بررسی تاریخچه و سیر تحول People Analytics
🔹 شناخت دادهها و شاخصهای کلیدی منابع انسانی
🔹 بررسی نقش هوش …
📣 وبینار رایگان «آشنایی با هوش تجاری» 📊💼
🎙 سخنران:
⭐️ مهندس امیر ایمنپور
✔️ مدیر و تحلیلگر کسبوکار، مدرس و مشاور هوش تجاری
💡 در این وبینار بررسی میکنیم:
🟠 هوش تجاری چیست و چه کاربردی دارد؟
🟠 چرا باید هوش تجاری را یاد بگیریم؟
🟠 چگونه باید از هوش تجاری برای پیشرفت شغلی استفاده کنیم؟
🟠 فرصتهای موجود استفاده از هوش تجاری در ایران و خارج از کشور
🟠 پرسش و پاسخ
📆 دو شنبه |۱۸ آبان
⏱️ ساعت ۲۰
📌 ثبتنام رایگان | ظرفیت …
🔥 وبینار رایگان «#نقشه_راه_شغلی_علم_داده در ۱۴۰۵» 🧭🚀
🎯به دنیای Data Science علاقه داری، اما نمیدونی از کجا شروع کنی، چه مهارتهایی یاد بگیری و چطور وارد بازار کار بشی؟
💡 در این وبینار:
🔹 آشنایی با مسیر شغلی علم داده (Data Science) و فرصتهای بازار کار
🔹 معرفی مهارتهای ضروری از Python و SQL تا Machine Learning
🔹 بررسی نقشه راه یادگیری علم داده از مبتدی تا حرفهای
🔹 شناخت ابزارها و تکنولوژیهای موردنیاز برای ورود ب…
Showing the 12 most recent of 96 posts we hold for @tiheac. 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.
Posts edited after publishing
@tiheac edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
25 August 2026
Most recent edit
11 November 2026
Posts recorded as deleted after publishing
We recorded 8 posts on @tiheac as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
12 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
4
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 87 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 11 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.
IEM Twitter | توییتر مهندسی صنایع و مدیریت @IEMTwitter · 26,751 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 12 September 2026
Power BI | تحلیل داده | SQL @PowerBI_ir · 22,001 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 22 September 2026
آکادمی پژوهش دکتر خاوریان @phdiran · 23,971 Telegram ranks this channel #20 of 87 here — alongside 86 others — read 17 September 2026
برنامه ریزی رایگان مطالعه زبان ارشد و دکتری @GeneralEnglishPlan · 33,451 Telegram ranks this channel #30 of 90 here — alongside 89 others — read 5 September 2026
دکتر علیرضا آزمندیان @dralirezaazmandian · 39,549 Telegram ranks this channel #33 of 66 here — alongside 65 others — read 30 August 2026
ژورنال آکادمیک @journalacademic · 26,504 Telegram ranks this channel #36 of 78 here — alongside 77 others — read 12 September 2026
اطلاع رسانی کارگاههای آموزشی معتبر @mppphd · 19,312 Telegram ranks this channel #47 of 91 here — alongside 90 others — read 1 October 2026
مدیران ایران | آموزش مدیریت کسب وکار |modiriran 🕊 @modiriran · 34,182 Telegram ranks this channel #89 of 94 here — alongside 93 others — read 2 September 2026
This channel appears in 8 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“موسسه توسعه” (@tiheac), 8,888 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/tiheac.
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.