Wave PCM (wav) - 48000 Hz-24bit 78 MB زائر (آلبوم رامش5 ،تهرون) 🔶 خواننده : رامش 🔶 ترانه سرا : محمد صالح علا 🔶 آهنگ و تنظیم : ناصر چشمآذر سال انتشار ترانه 1350 با دوستان خود به اشتراک بگذارید.
👌3❤2
Signed Hamid Sharif-Nia

Channel
@piaderonews
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,787subscribers
+53 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001001883324 |
|---|---|
| Type | Channel |
| Username | @piaderonews |
| Created | 1 November 2015 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/piaderonews |
Music — 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 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 05:01 | 1,787 | +5 |
| 11 Sept 2026, 07:15 | 1,782 | +5 |
| 6 Sept 2026, 01:55 | 1,777 | -1 |
| 2 Sept 2026, 04:43 | 1,778 | +5 |
| 30 Aug 2026, 07:04 | 1,773 | +3 |
| 27 Aug 2026, 01:29 | 1,770 | +3 |
| 23 Aug 2026, 22:18 | 1,767 | +24 |
| 20 Aug 2026, 12:34 | 1,743 | -3 |
| 17 Aug 2026, 19:38 | 1,746 | +9 |
| 12 Aug 2026, 03:04 | 1,737 | +3 |
| 9 Aug 2026, 12:02 | 1,734 | -1 |
| 6 Aug 2026, 11:21 | 1,735 | +1 |
| 6 Aug 2026, 07:04 | 1,734 | no change |
| 5 Aug 2026, 18:28 | 1,734 | first reading |
22 posts held, back to 25 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 2 pages 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 22 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
88 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 67.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 59 | 67.0% | |
| 😢 | 10 | 11.4% | |
| 👌 | 9 | 10.2% | |
| 👍 | 8 | 9.09% | |
| 👏 | 2 | 2.27% |
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 15 of the 22 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 88 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 25 June 2026 to 7 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.
Wave PCM (wav) - 48000 Hz-24bit 78 MB زائر (آلبوم رامش5 ،تهرون) 🔶 خواننده : رامش 🔶 ترانه سرا : محمد صالح علا 🔶 آهنگ و تنظیم : ناصر چشمآذر سال انتشار ترانه 1350 با دوستان خود به اشتراک بگذارید.
👌3❤2
Signed Hamid Sharif-Nia
در دل زمستانِ سردِ ۱۳۵۲، ناصر چشمآذر، آنگاه که برف، کاجهای خیابانهای تهران را در سکوتِ سپید فروبرده بود، نغمهای در ذهنش شکل گرفت. قصد نخستینِ او آن بود که این ملودی را با صدایی انگلیسیزبان ثبت کند، اما سرانجام، این قطعه که با کلامی از محمدصالح علاء، «زائر» نام گرفت، به رامش سپرده شد تا آن را اجرا کند. چشمآذر برای تنظیم ارکسترالِ این اثر، از چیرهدستترین نوازندگان ارکستر سمفونیک بهره گرفت؛ ظهیرالدینی با ویولنِ…
❤4👌1
Signed Hamid Sharif-Nia
هیچیک سخنی نگفتند نه میزبان نه مهمان نه گلهای داوودی #شعر_هایکو #قلمرو_شعر ▪️به انتخاب سید حمید شریف نیا 🔘با کانال تلگرام " مجله ادبی پیاده رو" ، معتبرترین و با سابقه ترین سایت ادبی پارسی زبان همراه باشید : 👇👇👇👇👇 https://t.me/+O7eGvAH8YdSS1YkX
👍4❤3
Signed Hamid Sharif-Nia
🔹 شماره مرداد ماه مجله ادبی پیاده رو را بخوانید؛ با آثاری از: ابوالقاسم مومنی ، کوروش همه خانی ، مهرنوش قربانعلی ، مهدی موسوی ، سید حمید شریف نیا ، فاطمه اختصاری ، رویا ابراهیمی ، حمیدرضا شکارسری ، شهاب عموئیان ، شاپور احمدی ، حسن فرخی ، حسین فرخی ، رضا روزبهانی ، فرناز جعفرزادگان ، احسان قدیمی ، شیوا فرازمند ، افسانه پورقلی ، فرهنگ روشنی ، محمدعلی حسنلو ، سپیده داداش زاده ، مهدی خدابخش ، مریم میرزاخانی ، فریبرز ای…
❤14👍4👌1👏1
Signed Meysam Riahi
🔹 درود به مخاطبین عزیز به زودی شماره جدید مجله، منتشر خواهد شد. 🆔 @piaderonews 👈
❤10👌1
Signed Meysam Riahi
چشمانش را بست تا سکانس آخرین بازیگری اش را برای ابدیت ضبط کند. غلامرضا بالاخره مادر را پیدا کرد، آقای قندی از پلههای خاطره بالا رفت و مرد برفی در آفتابِ بیپایان آب شد. اکبر عبدی رفت تا در قاب سپیدِ فراموشی، مشقِ غمگینترین نقشِ عمرش را بنویسد: «بودنِ نبودن». سینما بیاو، خانهای بدون پنجره است و لبخندها، بیصاحبترین مهاجرانِ کوچهپسکوچههای خاطره. او با سیمرغهایش پر کشید، با «خوابم میآد» تا ابد به خواب رفت و با…
😢10❤7👌1
Signed Hamid Sharif-Nia
🔘با صفحه ی اینستاگرام " مجله ادبی پیاده رو" ، معتبرترین و با سابقه ترین سایت ادبی پارسی زبان همراه باشید : 👇👇👇👇👇 https://www.instagram.com/piadero.mag?igsh=ZWhkd2Y3d3RneDdr 🆔 @piaderonews 👈
❤9👌1
Signed Meysam Riahi
✍️ مجله ادبی پیاده رو pinned a photo
🔹 شعری از علی اکبر یاغی تبار را در سایت پیاده رو بخوانید: 👇👇 ▶️ https://piadero.ir/post/3707 جُنگ ادبیات ایران #سال_هجدهم #شماره_تیر 🔘با کانال تلگرام " مجله ادبی پیاده رو" ، معتبرترین و با سابقه ترین سایت ادبی پارسی زبان همراه باشید : 👇👇👇👇👇 https://t.me/+O7eGvAH8YdSS1YkX 🆔 @piaderonews 👈
❤2
Signed Meysam Riahi
🔹 شعری از عبدالجبار کاکایی را در سایت پیاده رو بخوانید: 👇👇 ▶️ https://piadero.ir/post/3706 جُنگ ادبیات ایران #سال_هجدهم #شماره_تیر 🔘با کانال تلگرام " مجله ادبی پیاده رو" ، معتبرترین و با سابقه ترین سایت ادبی پارسی زبان همراه باشید : 👇👇👇👇👇 https://t.me/+O7eGvAH8YdSS1YkX 🆔 @piaderonews 👈
❤2
Signed Meysam Riahi
🔹 شعری از رضا ترنیان را در سایت پیاده رو بخوانید: 👇👇 ▶️ https://piadero.ir/post/3705 جُنگ ادبیات ایران #سال_هجدهم #شماره_تیر 🔘با کانال تلگرام " مجله ادبی پیاده رو" ، معتبرترین و با سابقه ترین سایت ادبی پارسی زبان همراه باشید : 👇👇👇👇👇 https://t.me/+O7eGvAH8YdSS1YkX 🆔 @piaderonews 👈
❤2
Signed Meysam Riahi
🔹 کیمیاگری ویرانی: «بریکینگ بد» وینس گیلیگان و ازهمگسیختگی روح مدرن به قلم دکتر سید حمید شریف نیا را در سایت پیاده رو بخوانید: 👇👇 ▶️ https://piadero.ir/post/3704 جُنگ ادبیات ایران #سال_هجدهم #شماره_تیر 🔘با کانال تلگرام " مجله ادبی پیاده رو" ، معتبرترین و با سابقه ترین سایت ادبی پارسی زبان همراه باشید : 👇👇👇👇👇 https://t.me/+O7eGvAH8YdSS1YkX 🆔 @piaderonews 👈
👏1
Signed Meysam Riahi
Showing the 12 most recent of 22 posts we hold for @piaderonews. 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 15 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.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“✍️ مجله ادبی پیاده رو” (@piaderonews), 1,787 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/piaderonews.
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.