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Channel

آموزش مرکزی شرکت ملی نفت ایران

@ctnioc

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

7,185subscribers

+232 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002526279605
TypeChannel
Username@ctnioc
Description📘کانال رسمی آموزش مرکزی شرکت ملی نفت ایران " آموزش‌های HSE، عمومی، فنی و تخصصی، محتوای چندرسانه‌ای، اطلاع‌رسانی دوره‌ها، وبینارها و دانش روز برای کارکنان صنعت نفت" 📒eitaa.com/CTNIOC 📗Ble.ir/CTNIOC 📕aparat.com/CTNIOC 📌ارتباط با ادمین @M_kalantary
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live11 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/ctnioc

Topic

Education — 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 12 September 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.

Growth

6,9437,1857,0648 August 2026 — 6,953 subscribers9 August 2026 — 6,956 subscribers11 August 2026 — 6,973 subscribers14 August 2026 — 6,979 subscribers17 August 2026 — 6,976 subscribers20 August 2026 — 6,974 subscribers24 August 2026 — 6,968 subscribers27 August 2026 — 6,965 subscribers30 August 2026 — 6,968 subscribers6 September 2026 — 6,970 subscribers11 September 2026 — 6,967 subscribers14 September 2026 — 6,964 subscribers18 September 2026 — 6,960 subscribers28 September 2026 — 6,943 subscribers5 October 2026 — 6,949 subscribers12 October 2026 — 7,025 subscribers15 October 2026 — 7,076 subscribers18 October 2026 — 7,106 subscribers21 October 2026 — 7,126 subscribers23 October 2026 — 7,136 subscribers26 October 2026 — 7,132 subscribers29 October 2026 — 7,137 subscribers1 November 2026 — 7,161 subscribers4 November 2026 — 7,166 subscribers7 November 2026 — 7,165 subscribers11 November 2026 — 7,185 subscribers8 August 202611 November 2026
26 measurements spanning 95 days, net +232. 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 6,907–7,221 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
11 Nov 2026, 11:087,185+20
7 Nov 2026, 07:257,165-1
4 Nov 2026, 15:497,166+5
1 Nov 2026, 23:507,161+24
29 Oct 2026, 20:597,137+5
26 Oct 2026, 16:207,132-4
23 Oct 2026, 17:257,136+10
21 Oct 2026, 01:577,126+20
18 Oct 2026, 08:587,106+30
15 Oct 2026, 07:557,076+51
12 Oct 2026, 07:027,025+76
5 Oct 2026, 22:416,949+6
28 Sept 2026, 07:416,943-17
18 Sept 2026, 16:426,960-4
14 Sept 2026, 18:556,964-3
11 Sept 2026, 03:186,967-3
6 Sept 2026, 09:546,970+2
30 Aug 2026, 06:036,968+3
27 Aug 2026, 02:336,965-3
24 Aug 2026, 09:096,968first reading

Engagement

62 posts held, back to 19 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 33 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.1%
avg views ÷ 7,185 subscribers
Avg views / post
2,020
32 posts measured
Reaction rate
0.247%
reactions ÷ views · ER floor
Posts in window
32
of 62 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
WindowRolling 30 days · latest post in window 14 November 2026
Posts held62 (19 July 2026 – 14 November 2026)
Views total64,700
Reactions total160
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 00:25 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
225
Videos
152
Links
513

Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1h 16m
Average length
5m 05s

Measured directly from 15 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

325 reactions across 62 posts, in 7 distinct kinds. The most used accounts for 45.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍14845.5%
❤9428.9%
💯278.31%
🙏268.00%
👏247.38%
💔30.923%
🔥30.923%

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 62 of the 62 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 325 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 62 most recent posts we hold, published 19 July 2026 to 14 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: 12 of 32 posts held from the last 30 days (37.5%) 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).

14 Nov 2026, 12:30 UTC647 views2 reactionsread 15 November 2026
File

#توسعه_فردی #شایستگی_عمومی : 10 ♦️ شایستگی‌های عمومی مدیران: ۱۰. خلاقیت و نوآوری 💡 خلاقیت و نوآوری به معنای توانایی ارائه ایده‌ها، راه‌حل‌ها و روش‌های جدید و اثربخش برای مواجهه با مسائل و چالش‌ها و به‌کارگیری آن‌ها در مسیر بهبود عملکرد فردی و سازمانی است. این شایستگی شامل شناخت مفاهیم خلاقیت و نوآوری، گسترش و به‌کارگیری آن‌ها در سازمان، توانایی ارائه راه‌حل‌های بکر و بدیع، زیر سؤال بردن رویکردهای متداول و کشف جای…

👍1🙏1

13 Nov 2026, 06:30 UTC≈1,240 views7 reactionsread 15 November 2026
Video

#عمومی #مستند : بخش ۲ ♦️ مستند ماشین نفت | بخش دوم 🎬 روایتی دیگر از دنیای نفت، وابستگی جهان به انرژی و چالش‌های پیش‌روی آینده؛ نگاهی تأمل‌برانگیز به انتخاب‌های انرژی امروز و فردای جهان. ▪️ آموزش مرکزی شرکت ملی نفت ایران 📙 ایتا: eitaa.com/CTNIOC 📗 بله: Ble.ir/CTNIOC 📕 آپارات: aparat.com/CTNIOC 📘 تلگرام: t.me/CTNIOC

👍3❤2👏1💯1

12 Nov 2026, 12:04 UTC994 views3 reactionsread 15 November 2026
File

#وبینار #محتوا_وبینار #پدافند_غیرعامل ♦️ فایل محتوای وبینار آموزشی با موضوع «تهدیدات نوین و راهکارهای پدافند غیرعامل جهت مواجهه با آن ها» با ارائه جناب آقای دکتر فتح الله شمسایی زفرقندی جهت بهره برداری علاقه‌مندان به این مبحث ارائه می گردد. ▪️آموزش مرکزی شرکت ملی نفت ایران 📙 ایتا: eitaa.com/CTNIOC 📗 بله: Ble.ir/CTNIOC 📕 آپارات: aparat.com/CTNIOC 📘 تلگرام: t.me/CTNIOC

❤2🙏1

12 Nov 2026, 11:31 UTC999 views1 reactionsread 15 November 2026

#وبینار #آپارات #پدافند_غیرعامل ♦️ فایل ضبط شده وبینار آموزشی با موضوع «تهدیدات نوین و راهکارهای پدافند غیرعامل جهت مواجهه با آن ها» با ارائه جناب آقای دکتر فتح الله شمسایی زفرقندی جهت استفاده علاقه‌مندان در لینک زیر(سایت آپارات) قابل بهره برداری است. ▫️https://www.aparat.com/v/xix9114 ▪️آموزش مرکزی شرکت ملی نفت ایران 📙 ایتا: Eitaa.com/CTNIOC 📗 بله : Ble.ir/CTNIOC 📕 آپارات: Aparat.com/CTNIOC 📘 تلگرام: T.me/CTNIOC

👍1

11 Nov 2026, 08:30 UTC≈1,140 views5 reactionsread 15 November 2026
Video

#آموزش_کامپیوتر #ICDL #Excel : Chart 1 ♦️ آموزش نرم‌افزار اکسل : بخش 23 📊 در این بخش، با نمودارها (Charts) در اکسل آشنا می‌شویم؛ ابزاری کاربردی برای نمایش بصری داده‌ها و ساده‌تر کردن تحلیل و مقایسه اطلاعات. 🔗 با استفاده از نمودارهای اکسل می‌توانید داده‌های عددی را به شکل تصویری و قابل‌فهم نمایش دهید و با انتخاب نمودار مناسب، روندها، تفاوت‌ها و ارتباط میان داده‌ها را بهتر بررسی کنید. ▪️ آموزش مرکزی شرکت ملی نفت ایر…

👍3❤1💯1

10 Nov 2026, 06:30 UTC≈1,280 views5 reactionsread 15 November 2026
Photo

#مدیریت_انرژی #توسعه_سازمانی ♦️ پایش هوشمند انرژی؛ از داده تا بهره‌وری 📊 مدیریت مؤثر انرژی، از اندازه‌گیری دقیق مصرف آغاز می‌شود. 🔍 پایش هوشمند انرژی با ثبت، تحلیل و مقایسه داده‌های مصرف، امکان شناسایی الگوهای پرمصرف، تشخیص نقاط اتلاف انرژی و برنامه‌ریزی برای اقدامات اصلاحی را فراهم می‌کند. در تأسیسات و مجموعه‌های نفتی، پایش مستمر مصرف برق، گاز و سوخت می‌تواند زمینه‌ساز بهبود بهره‌وری عملیاتی، کاهش هزینه‌های انرژی…

❤4👍1

9 Nov 2026, 09:33 UTC≈1,340 views4 reactionsread 15 November 2026
Photo

#پدافند_غیرعامل #توسعه_سازمانی ♦️ دام خطرناک «همزاد قلابی» در محیط کار را بشناسید! 🤝 گاهی فردی در محیط کار با علایق مشترک عجیب، تمجیدهای مکرر و همدلی افراطی، به‌سرعت اعتماد شما را جلب می‌کند؛ اما این صمیمیت ظاهری می‌تواند ابزاری برای مهندسی اجتماعی و جمع‌آوری اطلاعات حساس سازمانی باشد. 🔍 نشانه‌های هشدار: ▪️ تقلید ساختگی از رفتارها و علایق شما ▪️ ابراز همدلی افراطی برای جلب اعتماد ▪️ ترغیب به بیان گلایه‌ها و درد‌دل…

❤2👍2

8 Nov 2026, 12:31 UTC≈1,750 views5 reactionsread 15 November 2026
Video

#آموزش_هوش_مصنوعی #یادگیری_ماشین : مفاهیم پایه ۳ ♦️ مفاهیم پایه یادگیری ماشین: بخش سوم 📊 نقاط پرت، اهرم‌دار و اثرگذار در یادگیری ماشین 📌 در این ویدئو با مفاهیم نقاط پرت (Outliers)، نقاط اهرم‌دار (Leverage Points) و مشاهدات اثرگذار (Influential Observations) و روش‌های شناسایی آن‌ها، از جمله Boxplot، Z-score، Isolation Forest و Cook’s Distance آشنا می‌شویم. ▫️ همچنین بررسی می‌کنیم که آیا حذف این مشاهدات همواره ضروری ا…

❤2👍1💯1🔥1

6 Nov 2026, 06:35 UTC≈2,470 views11 reactionsread 15 November 2026
Video

#عمومی #مستند : بخش ۱ ♦️ مستند ماشین نفت | بخش اول (اولین ترجمه و دوبله تخصصی، یکی از جامع ترین مستندهای نفت) 🎬 نفت؛ نیروی محرک جهان مدرن یا چالشی برای آینده؟ 🛢️ این مستند نگاهی متفاوت و تأمل‌برانگیز به وابستگی جهان به نفت، پیامدهای تداوم مصرف سوخت‌های فسیلی و ضرورت گذار به انرژی‌های تجدیدپذیر دارد؛ روایتی از انتخاب‌هایی که امروز انجام می‌دهیم و آینده‌ای که هنوز می‌توانیم در شکل‌گیری آن نقش داشته باشیم. 📌 ترجمه و …

👍5❤3🔥2💯1

6 Nov 2026, 06:30 UTC≈1,690 views5 reactionsread 15 November 2026

#عمومی #مستند ♦️ معرفی مستند «ماشین نفت» | The Oil Machine (2022) 🛢️ نفت فقط یک منبع انرژی نیست؛ بلکه بخشی از یک ماشین عظیم اقتصادی، صنعتی و اجتماعی است که زندگی امروز ما را به خود وابسته کرده است. 🎬مستند «ماشین نفت» به کارگردانی اما دیوی (Emma Davie)، با تمرکز بر صنعت نفت و گاز دریای شمال، به بررسی ابعاد مختلف این وابستگی می‌پردازد؛ از سکوهای نفتی و شرکت‌های انرژی تا بازارهای مالی، سرمایه‌گذاران، نیروی کار و فعا…

❤3👍2

5 Nov 2026, 07:30 UTC≈1,730 views12 reactionsread 15 November 2026
Photo

#وبینار #هوش_مصنوعی ♦️ وبینار آموزشی با موضوع «آموزش کاربردی هوش مصنوعی کلاد (Claude)» به همت مجتمع آموزش فنون اهواز و با ارائه جناب آقای دکتر بخت همت رئیس مرکز آموزش‌های هوش مصنوعی مجتمع آموزش فنون در روز یکشنبه ۱۷ آبان‌ماه ۱۴۰۵ و از ساعت ۱۰ الی ۱۲ برگزار می‌گردد. 📌 لینک شرکت در وبینار (سامانه سان آموزش مرکزی): 🔗 CTDonline.nioc.ir/fonoon ◽ نحوه ورود به وبینار: 👤 متقاضیان حضور در وبینار می‌توانند از طریق انتخاب …

👏6👍3💯2❤1

4 Nov 2026, 12:30 UTC≈1,610 views2 reactionsread 15 November 2026
Video

#آموزش_کامپیوتر #ICDL #Excel: search ♦️ آموزش نرم‌افزار اکسل : بخش 22 📊 در این بخش، با ابزارهای پرکاربرد Search و Replace در اکسل آشنا می‌شویم؛ ابزارهایی کاربردی برای جست‌وجو و جایگزینی سریع اطلاعات در داده‌ها. 🔗 با استفاده از ابزار Find می‌توانید متن، عدد یا عبارت موردنظر خود را در سلول‌ها پیدا کنید و با استفاده از Replace، اطلاعات موردنظر را به‌سرعت با مقادیر جدید جایگزین کنید. این ابزارها به شما کمک می‌کنند تا د…

👍1💔1

Showing the 12 most recent of 62 posts we hold for @ctnioc. 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 recorded as deleted after publishing

We recorded 4 posts on @ctnioc 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
10 August 2026
Most recent seen missing
8 November 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
2

Forward network

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 5 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.

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.

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.

“آموزش مرکزی شرکت ملی نفت ایران” (@ctnioc), 7,185 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ctnioc.

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.