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Channel

مهران صولتی

@solati_mehran

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

6,172subscribers

-21 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001022111762
TypeChannel
Username@solati_mehran
Created6 January 2016 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/solati_mehran

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 43% 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

6,1166,2136,164.55 August 2026 — 6,193 subscribers6 August 2026 — 6,193 subscribers9 August 2026 — 6,190 subscribers12 August 2026 — 6,180 subscribers16 August 2026 — 6,163 subscribers19 August 2026 — 6,156 subscribers23 August 2026 — 6,143 subscribers26 August 2026 — 6,138 subscribers29 August 2026 — 6,123 subscribers1 September 2026 — 6,116 subscribers5 September 2026 — 6,211 subscribers10 September 2026 — 6,201 subscribers14 September 2026 — 6,189 subscribers19 September 2026 — 6,171 subscribers28 September 2026 — 6,155 subscribers5 October 2026 — 6,200 subscribers12 October 2026 — 6,213 subscribers15 October 2026 — 6,212 subscribers18 October 2026 — 6,202 subscribers21 October 2026 — 6,195 subscribers24 October 2026 — 6,201 subscribers26 October 2026 — 6,186 subscribers30 October 2026 — 6,188 subscribers1 November 2026 — 6,181 subscribers4 November 2026 — 6,179 subscribers7 November 2026 — 6,175 subscribers11 November 2026 — 6,172 subscribers6,1725 August 202611 November 2026
27 measurements spanning 98 days, net -21. 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 6,101–6,228 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
11 Nov 2026, 23:476,172-3
7 Nov 2026, 16:176,175-4
4 Nov 2026, 22:476,179-2
1 Nov 2026, 21:476,181-7
30 Oct 2026, 02:306,188+2
26 Oct 2026, 21:076,186-15
24 Oct 2026, 00:066,201+6
21 Oct 2026, 09:556,195-7
18 Oct 2026, 02:176,202-10
15 Oct 2026, 09:296,212-1
12 Oct 2026, 15:596,213+13
5 Oct 2026, 18:586,200+45
28 Sept 2026, 09:186,155-16
19 Sept 2026, 02:196,171-18
14 Sept 2026, 12:396,189-12
10 Sept 2026, 21:396,201-10
5 Sept 2026, 10:386,211+95
1 Sept 2026, 09:076,116-7
29 Aug 2026, 11:246,123-15
26 Aug 2026, 01:366,138first reading

Engagement

43 posts held, back to 2 June 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.5%
avg views ÷ 6,172 subscribers
Avg views / post
1,330
6 posts measured
Reaction rate
0.728%
reactions ÷ views · ER floor
Posts in window
7
of 43 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 26 October 2026
Posts held43 (2 June 2026 – 26 October 2026)
Views total7,962
Reactions total58
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 16:41 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

Video runtime
4m 29s
Average length
45s

Measured directly from 6 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

499 reactions across 39 posts, in 3 distinct kinds. The most used accounts for 80.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤40280.6%
👍8617.2%
👎112.20%

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 40 of the 43 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 499 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 2 June 2026 to 26 October 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: 2 of 7 posts held from the last 30 days (28.6%) 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).

26 Oct 2026, 17:13 UTCviews —

مهران صولتی pinned «🔹 جامعه در آینه شاهنامه (خوانش دیروز در افق امروز) 🎙 درس‌گفتارهای دکتر مهران صولتی جلسه اول: فردوسی و شاهنامه جلسه دوم: پادشاهی جمشید و آغاز استبداد جلسه سوم: سقوط جمشید و روان‌شناسی استبداد جلسه چهارم: پادشاهی ضحاک و جامعه‌شناسی استبداد جلسه پنجم:…»

26 Oct 2026, 17:13 UTC≈1,620 views9 reactionsread 6 November 2026

🔹 جامعه در آینه شاهنامه (خوانش دیروز در افق امروز) 🎙 درس‌گفتارهای دکتر مهران صولتی جلسه اول: فردوسی و شاهنامه جلسه دوم: پادشاهی جمشید و آغاز استبداد جلسه سوم: سقوط جمشید و روان‌شناسی استبداد جلسه چهارم: پادشاهی ضحاک و جامعه‌شناسی استبداد جلسه پنجم: ظهور کاوه و مبارزه با استبداد جلسه ششم: شکست ضحاک و پادشاهی فریدون @solati_mehran #فردوسی #شاهنامه #ضحاک #فریدون #استبداد

❤9

25 Oct 2026, 18:38 UTC≈1,480 views13 reactionsread 6 November 2026
File

جامعه در آینه شاهنامه (جلسه پایانی) 🔺 شکست ضحاک و پادشاهی فریدون 🔹 مهران صولتی در ششمین جلسه از شرح شاهنامه فردوسی به نکات زیر پرداخته است: 🔸 ورود فریدون به کاخ ضحاک 🔸 منع شدن فریدون از کشتن ضحاک 🔸 محبوس کردن ضحاک در غاری از کوه دماوند 🔸 مانیفست فردوسی در شاهنامه 🔸 تشابه و تفاوت جهان‌بینی فردوسی و خیام 🔸 ابزارهای فردوسی برای نیک‌گستری در جهان 🔸 تبار تاریخی باور به اتوپیا در اندیشه فردوسی 🔸 آیا جهان در م…

❤12👎1

18 Oct 2026, 18:33 UTC≈1,940 views14 reactionsread 6 November 2026
File

جامعه در آینه شاهنامه (جلسه پنجم) 🔺 ظهور کاوه و مبارزه با استبداد 🔹 مهران صولتی در پنجمین جلسه از شرح شاهنامه فردوسی به نکات زیر پرداخته است: 🔸 شاهنامه‌خوانی 🔸 کابوس دیدن ضحاک 🔸 تعبیر کابوس ضحاک توسط خواب‌گزاران 🔸 نامعادله اختیار - مسئولیت در نظام‌های استبدادی 🔸 خروش کاوه در دربار ضحاک 🔸 ظهور کاوه به عنوان نماد مبارزه با استبداد 🔸 بنیادی‌ترین پرسش مردم از حاکمان در شاهنامه 🔸 اقدام کاوه/ فریدون: شورش یا ا…

❤11👍3

11 Oct 2026, 18:22 UTC≈2,360 views11 reactionsread 6 November 2026
File

جامعه در آینه شاهنامه (جلسه چهارم) 🔺 پادشاهی ضحاک و جامعه‌شناسی استبداد 🔹 مهران صولتی در چهارمین جلسه از شرح شاهنامه فردوسی به نکات زیر پرداخته است: 🔸 شاهنامه‌خوانی 🔸 جامعه‌شناسی استبداد به چه مسائلی می‌پردازد؟ 🔸 اوصاف مرداس؛ پدر ضحاک 🔸 جانشینی ضحاک به‌جای پدر 🔸 رویش مارها بر شانه‌های ضحاک 🔸 رمزگشایی نمادین از ماهیت مارهای ضحاک 🔸 دعوت ایرانیان از ضحاک برای پادشاهی ایران 🔸 درس‌هایی از حکومت استبدادی ضحاک …

❤7👍4

4 Oct 2026, 18:24 UTC≈2,630 views11 reactionsread 6 November 2026
File

جامعه در آینه شاهنامه (جلسه سوم) 🔺 سقوط جمشید و روان‌شناسی استبداد 🔹 مهران صولتی در سومین جلسه از شرح شاهنامه فردوسی به نکات زیر پرداخته است: 🔸 شاهنامه‌خوانی 🔸 روان‌شناسی استبداد به چه نکاتی می‌پردازد؟ 🔸 فرآیند بطئی و تدریجی شکل‌گیری استبداد 🔸 خودشیفتگی و استبداد 🔸 جولان متملقان و چاپلوسان 🔸 حذف و حاشیه‌نشینی چهره‌های برجسته 🔸 پارانویای شدید نسبت به نزدیکان 🔸 کینه‌توزی نسبت به رقیبان زمان فایل: ۲۷ دقیقه…

❤8👍3

Showing the 12 most recent of 43 posts we hold for @solati_mehran. 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

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 10 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.

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.

جامعه‌شناسی
@iransociology · 37,367
Telegram ranks this channel #16 of 94 here — alongside 93 others — read 1 September 2026
علوم اجتماعی،مسائل روز
@social_science · 24,577
Telegram ranks this channel #25 of 90 here — alongside 89 others — read 17 September 2026
دیپلماسی
@Bestdiplomacy · 19,746
Telegram ranks this channel #46 of 98 here — alongside 97 others — read 30 September 2026
یدالله کریمی پور
@Karimipour_K · 21,452
Telegram ranks this channel #89 of 97 here — alongside 96 others — read 23 September 2026

This channel appears in 4 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“مهران صولتی” (@solati_mehran), 6,172 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/solati_mehran.

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.