Ⓜ️ #خیانت خیلی بده آسیبه آسیب جدی هم هست اما چیزی که باعث نابودی زندگی میشه خیانت نیست رفتار بعد از خیانته dr.majidgoli 🛄 @zistboommedia || مدرسه علوم انسانی
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Channel
@zistboommedia
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
32,178subscribers
+148 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001308302622 |
|---|---|
| Type | Channel |
| Username | @zistboommedia |
| Description | 🔹من یک معلم هستم. 🔹️شنونده ی خوبی باشیم. 🔹خوب زندگی کردن به آموزش نیاز دارد. 🔹علوم انسانی را برای بهتر زیستن بیاموزیم. 🔹️من کامل نیستم، همه ی حقیقت هم در نزد من نیست. 🔹مطالب منتشر شده فقط جهت تبادل اندیشه و تفکر است والزاماً نظر بنده نیست. |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/zistboommedia |
Politics & activism — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 17:01 | 32,178 | -3 |
| 16 Sept 2026, 11:57 | 32,181 | +8 |
| 14 Sept 2026, 17:19 | 32,173 | -10 |
| 13 Sept 2026, 03:22 | 32,183 | +26 |
| 11 Sept 2026, 03:16 | 32,157 | +1 |
| 8 Sept 2026, 08:20 | 32,156 | +22 |
| 5 Sept 2026, 06:00 | 32,134 | +1 |
| 3 Sept 2026, 14:00 | 32,133 | +11 |
| 2 Sept 2026, 05:04 | 32,122 | +5 |
| 1 Sept 2026, 02:14 | 32,117 | -4 |
| 31 Aug 2026, 04:14 | 32,121 | -1 |
| 30 Aug 2026, 06:57 | 32,122 | -13 |
| 29 Aug 2026, 05:33 | 32,135 | +6 |
| 28 Aug 2026, 07:44 | 32,129 | -4 |
| 27 Aug 2026, 06:04 | 32,133 | +14 |
| 26 Aug 2026, 04:04 | 32,119 | +6 |
| 25 Aug 2026, 03:53 | 32,113 | +4 |
| 23 Aug 2026, 22:35 | 32,109 | -7 |
| 22 Aug 2026, 08:18 | 32,116 | -12 |
| 20 Aug 2026, 19:35 | 32,128 | first reading |
359 posts held, back to 4 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 75 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 359 (4 August 2026 – 22 September 2026) |
| Views total | 496,705 |
| Reactions total | 4,992 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 06:22 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.
Lifetime counters from Telegram’s own channel header, read 22 September 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.
Measured directly from 232 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.
8,945 reactions across 347 posts, in 21 distinct kinds. The most used accounts for 41.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3,724 | 41.6% | |
| 👍 | 3,259 | 36.4% | |
| 👎 | 628 | 7.02% | |
| 👏 | 476 | 5.32% | |
| 🤣 | 129 | 1.44% | |
| 😢 | 116 | 1.30% | |
| 😭 | 105 | 1.17% | |
| 👌 | 85 | 0.95% | |
| 🤬 | 72 | 0.805% | |
| 😁 | 65 | 0.727% | |
| 🙏 | 61 | 0.682% | |
| 😐 | 53 | 0.593% | |
| 🕊 | 39 | 0.436% | |
| 🔥 | 30 | 0.335% | |
| 🥰 | 24 | 0.268% | |
| 💯 | 23 | 0.257% | |
| ❤🔥 | 20 | 0.224% | |
| 🤔 | 20 | 0.224% | |
| 😍 | 11 | 0.123% | |
| 🤯 | 3 | 0.034% | |
| 1 further kind | 2 | 0.022% |
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 359 of the 359 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 9,248 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 359 most recent posts we hold, published 4 August 2026 to 22 September 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.
Ⓜ️ #خیانت خیلی بده آسیبه آسیب جدی هم هست اما چیزی که باعث نابودی زندگی میشه خیانت نیست رفتار بعد از خیانته dr.majidgoli 🛄 @zistboommedia || مدرسه علوم انسانی
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Ⓜ️ اگه یه محتوا این ۴ ویژگی رو داشته باشه، احتمالاً پروپاگانداست نه واقعیت. 📌منبع: چارچوب تحلیلی مؤسسهی تحلیل پروپاگاندا - Institute for Propaganda Analysis (دههی ۱۹۳۰) within_leaves 🛄 @zistboommedia || مدرسه علوم انسانی
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📌آگاهانه زیستن؛ ➕ مستلزم پذیرا بودن نشانه هایی که ممکن است اشتباه افکار ما را یاد آور شوند و البته وجود اراده ای استوار برای اصلاح چنین خطا هایی. 🔺راهبرد: 💡تفکر انتقادی 💡مغالطه و خطا های شناختی 💡روانشناسی تودهها و بازارها 💡نقد خرافات سنتی و پست مدرن https://t.me/ReverseMatrix 🔻تبلیغات در مدرسه علوم انسانی رایگان است.
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Ⓜ️ هیچصفت یا عمل یا رفتاری نیست که در زندگی مطلقا خوب یا بد باشه .... پیشنهاد میکنم تا اخر بشنوید. @azarakhshmokri 🛄 @zistboommedia || مدرسه علوم انسانی
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Ⓜ️ مغالطه ی منشا ➕یکی از رایجترین خطاهایی که در مسیر ارزیابی استدلال با آن مواجه میشویم، «مغالطهٔ منشأ» (Genetic Fallacy) است. این مغالطه زمانی رخ میدهد که، بهجای آنکه یک استدلال بر اساس محتوای خود ارزیابی شود، بر مبنای منشأ یا خاستگاهاش رد یا پذیرفته میشود. بهعبارت دیگر، قضاوت ما درباره یک استدلال، تحت تأثیر شخصیت، پیشینه یا گروهی قرار میگیرد که آن استدلال را مطرح کردهاند. این رویکرد نهتنها منطقی نیست، ب…
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Ⓜ️ پادشاهان وارداتی در اردن و سوریه؛ چگونه کشورهای سوریه و اردن متولد شدند؟ 📌 داستان تشکیل سوریه و اردن یکی از عجیبترین فصلهای هندسه سیاسی خاورمیانه است؛ جایی که دو کشور همسایه در دو مسیر کاملا متفاوت متولد شدند و سرنوشتی متضاد یافتند. 📌 پرده اول: فیصل، پادشاه یکروزه دمشق 🔻 پس از آنکه اعراب با بمبگذاری در خط آهن حجاز، شاهکار مهندسی عثمانی به بریتانیا در شکست عثمانی یاری رساندند، امیر فیصل (فرزند شریف حسین، حا…
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Ⓜ️ قابلیت Google Search داره از «جستجو» تبدیل میشه به یک دستیار زنده ▪️با Gemini 3.8 Live میتونی دوربین رو بگیری سمت چیزی، همون لحظه سو ال بپرسی و قدم به قدم راهنمایی بگیری. ▪️یعنی به جای سرچ کردن دربارهی چیزی، میتونی همون چیز رو به گوگل نشون بدی و باهاش حرف بزنی! 🛄 @zistboommedia || مدرسه علوم انسانی
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Ⓜ️ جامعۀ پشمکی: چطور جدیت را به سرگرمی باختیم؟ 📌سوزان سانتاگ در سال ۱۹۹۶ هشدار داد که «جدیت»، در سایۀ مصرفگرایی، در حال نابودی است و میگفت: با غلبۀ فرهنگی که ارزشهای اصلیاش از صنعت سرگرمی میآید، جدیت به پلۀ آخر رسیده است. او از دنیایی گفت که در آن همهچیز، حتی مفاهیم عمیقی چون دانش و شکوفایی انسانی، به کالاهایی قابل فروش و آسانفهم تبدیل خواهند شد. در این دنیای تازۀ «سبُک»، همهچیز باید خوشایند و ملایم باشد، و…
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Ⓜ️ چی باعث میشه یه نفر تو چشم بقیه جذابتر از دیگران به نظر برسه!؟ ➕از جدیدترین و جالبترین مقالاتی که اخیرا خوندم مرور منابع دکتر گری لواندوفسکی استاد دانشگاه مانموث امریکا بود. ایشون طی مطالعات خودش به این نتیجه رسیده بود که جذابیت تو نگاه اول تو ظاهر آدمهاست اما تیپ و قیافه و استایل تنها در ورودی رو برات باز میکنه و چیزی که نگه میداره طرز تفکر، شخصیت، باورها و الگوهایی هستش که از خودت نشون میدی که تو پست امروز…
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Ⓜ️ هوش با تفکر یکی نیست! ➕دکتر محمدباقر باقری dr.mohammadbagher.bagheri 🛄 @zistboommedia || مدرسه علوم انسانی
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Ⓜ️ درجههای اعتبار علمی ➕وقتی درباره علم صحبت میکنیم، معمولا با مفاهیمی مثل مشاهده، فرضیه، نظریه و قانون، روبهرو میشویم، مفاهیمی که گاهی آنها را به شکل یک نردبان نشان میدهند که این تصور را به وجود میآورد که هر چه از مشاهده، به سمت قانون برویم، به درجات بالاتری از اعتبار و قطعیت میرسیم که نادرست است چون اعتبار علمی به قرار گرفتن یک مفهوم، در این نردبان وابسته نیست. ➕برای مثال، یک "مشاهده د…
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Ⓜ️ کوبا و تایوان دو مسیر متفاوت، دو سرنوشت متفاوت. ➕تایوان به مالکیت خصوصی، تجارت بینالمللی، کارآفرینی و اقتصادی مبتنی بر بازار روی آورد (کاپیتالیسم). کوبا هم مسیر دولتیسازی و برنامهریزی متمرکز رو در پیش گرفت (سوسیالیسم). نتیجه؟ درآمد سرانه تایوان که خیلی پایینتر از کوبا بود، در طول هفت دهه هفت هشت برابر کوبا شد. ➕مهدی تدینی 🛄 @zistboommedia || مدرسه علوم انسانی
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Showing the 12 most recent of 359 posts we hold for @zistboommedia. 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.
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.
Named by 53 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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.
@zistboommedia named 2 handles 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.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 5 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“مدرسه علوم انسانی” (@zistboommedia), 32,178 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/zistboommedia.
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.