Channel
@jordan_peterson_rh
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
2,186subscribers
+13 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001924556109 |
|---|---|
| Type | Channel |
| Username | @jordan_peterson_rh |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/jordan_peterson_rh |
Health & wellness — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 |
|---|---|---|
| 16 Sept 2026, 20:38 | 2,186 | +5 |
| 12 Sept 2026, 22:38 | 2,181 | -2 |
| 9 Sept 2026, 07:16 | 2,183 | +13 |
| 3 Sept 2026, 23:20 | 2,170 | +3 |
| 31 Aug 2026, 07:54 | 2,167 | -3 |
| 27 Aug 2026, 22:57 | 2,170 | -2 |
| 21 Aug 2026, 03:16 | 2,172 | +5 |
| 15 Aug 2026, 02:05 | 2,167 | -8 |
| 11 Aug 2026, 09:38 | 2,175 | +2 |
| 11 Aug 2026, 08:17 | 2,173 | first reading |
19 posts held, back to 21 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 1 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 7 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.
47 reactions across 16 posts, in 3 distinct kinds. The most used accounts for 80.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 38 | 80.9% | |
| 🔥 | 7 | 14.9% | |
| 👍 | 2 | 4.26% |
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 16 of the 19 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 21 July 2026 to 1 August 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.
🟠 درک و درمان اعتیاد آیا با وجود تصمیمهای مکرر، باز هم به پورن برمیگردی؟ چرا ترک آن سخت است و دوپامین، وسوسه و عادت چه نقشی در این چرخه دارند؟ در این پادکست، آنا لمبکه و اندرو هوبرمن درباره سازوکار اعتیاد، چرخه لذت و درد، محرکهای وسوسه، ترک و راههای شکستن این چرخه صحبت میکنند. اگر میخواهی بفهمی چرا مغزت درگیر این رفتار شده و چطور میتوانی کنترل را دوباره به دست بگیری، این گفتوگو را از دست نده. تماشای پادکست…
❤1
جردن پیترسون pinned «احتمالا شما هم اعتیاد دارید این اعتیاد میتونه به هر چیزی باشه پورن ـ مواد مخدر ـ شبکه های اجتماعی ـ تلفن همراه ـ غذا و... و در جریان هستید موضوع اعتیاد رابطه مستقیم با لذت و انگیزه برای لذت داره. جایی که مربوط میشه به سیستم دوپامین ما شما تا وقتی آگاه…»
چند دقیقه دیگه پادکست دکتر آنا لمبکه و پرفسور اندرو هوبرمن گذاشته میشه براتون در باب موضوع اعتیاد و درمان اعتیاد این پادکست خیلی میتونه کمک کنه به افرادی که درگیر این موضاعات بالا هستند پس از دست ندید
❤2👍1
ایشون دکتر آنا لمبکه هستند استاد روانپزشکی و رئیس کلینیک پزشکی اعتیاد در دانشگاه استنفورد ،، ایشون در کتاب ملت دوپامین تمام سازگار اعتیاد رو آموزش داده و اینکه چطور باید ترک کنیم؟ مراحل اعتیاد چی هستند؟ چه اتفاقی در مغز میافته؟ و هر آنچه باید بدونید
❤3
احتمالا شما هم اعتیاد دارید این اعتیاد میتونه به هر چیزی باشه پورن ـ مواد مخدر ـ شبکه های اجتماعی ـ تلفن همراه ـ غذا و... و در جریان هستید موضوع اعتیاد رابطه مستقیم با لذت و انگیزه برای لذت داره. جایی که مربوط میشه به سیستم دوپامین ما شما تا وقتی آگاه نباشید به سیستم دوپامین مغز خودتون، ترک اعتیاد چندان جوابگو نیست چون هر سری باز شما کشیده میشید به اون سمت چند بار شده پورن رو خواستید ترک کنید؟ تونستید؟ خیلی هاتون …
❤1
در این گفتوگو، دکتر Rhonda Patrick، پژوهشگر علوم زیستپزشکی و از شناختهشدهترین مروجان علم در حوزه تغذیه، طول عمر و سلامت، به بررسی جدیدترین شواهد علمی درباره کراتین میپردازد. او با استناد به مطالعات پژوهشی، نقش کراتین در تولید انرژی سلولی، عملکرد شناختی، افزایش قدرت و حفظ توده عضلانی، تفاوتهای مصرف در زنان و مردان، دوز مناسب، ایمنی مصرف و باورهای رایج درباره این مکمل را توضیح میدهد. اگر به دنبال پاسخهایی عل…
❤5🔥2
این ویدیو از هزاران کتاب خودیاری بهتره جیمز کلیر به زبان خیلی ساده توضیح میده چطور میتونیم یه عادت بسازیم و چطور میتونیم با اون عادت زندگی خودمون رو تغییر بدیم! 📌چرا عادات مهم هستند؟ چون عادات هستند که زندگی ما رو میسازند، ما اول تصمیم میگیریم چه عادتی وارد زندگی ما بشه و بعد افسار زندگی رو دست عادات میدیم. جیمز با استفاده از مباحث علمی و روانشناسی به صورت جامع این موضوع رو بیان میکنه چطور عادتی بسازیم که موندگار…
❤5🔥2
این دوره به دوره مردانگی جردن پیترسون معروفه
❤6🔥3
اژدهایان ، هیولاها ، مردان قسمت 4⃣ : بزرگ باش
❤1
اژدهایان ، هیولاها ، مردان قسمت 3⃣: شاهزاده باش ، شهدخت را خواهی یافت
❤1
اژدهایان ، هیولاها ، مردان قسمت 2⃣ : خودت را مسلح کن!
❤2
اژدهایان ، هیولاها ، مردان قسمت 1⃣ : مرد چگونه ساخته میشود ؟
❤2
Showing the 12 most recent of 19 posts we hold for @jordan_peterson_rh. 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.
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.
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.
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 13 seed channels' Telegram-generated recommendation lists in total. 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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“جردن پیترسون” (@jordan_peterson_rh), 2,186 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/jordan_peterson_rh.
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.