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Channel

رمزگشایی داستانهای قرآنی

@Decoding_QS

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

28subscribers

+0 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003986306157
TypeChannel
Username@Decoding_QS
Descriptionدر این کانال هم می کوشم رمزگشایی خود را از داستانهای قرآنی بیان کنم و هم اینکه در فراگیری زبان انگلیسی بکوشم. به امید تبیین مفاهیم دریافتی برای مخاطبان جهانی
Created5 June 2026measured — dated from the channel’s first post
First recorded11 August 2026
Last confirmed live1 September 2026
Measurements held2
On Telegramt.me/Decoding_QS

Growth

2810 Aug 2026, 06:01 — 28 subscribers11 Aug 2026, 06:16 — 28 subscribers10 Aug 2026, 06:0111 Aug 2026, 06:16
2 measurements spanning 1 day. 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 27–29 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 06:1628no change
10 Aug 2026, 06:0128first reading

Engagement

5 posts held, back to 5 June 2026the 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 5 posts for this entry, the most recent from 14 June 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
1

Lifetime counters from Telegram’s own channel header, read 11 August 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.

Reaction mix

15 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 46.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏746.7%
👍533.3%
320.0%

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 4 of the 5 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 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 5 June 2026 to 14 June 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

14 Jun 2026, 18:27 UTC50 views2 reactionsread 11 August 2026

داستان دوم Second story شگفتیهای عیسی The Miracles of Jesus عیسای جوان با هوش و استعدادی که داشت طبابت یاد گرفت به نحوی که از ظواهر مراجعانش می فهمید که آنها چه می خورند و می نوشند با اینکه پنهان می کردند. احتمالا آنها چیزهایی را پنهانی می خوردند که در مذهبشان ممنوع بود The young Jesus, with his intelligence and talent, learned medicine in such a way that he could tell from the appearance of his patients what they a

👍2

5 Jun 2026, 16:09 UTC75 views4 reactionsread 11 August 2026

مریم در راه از شدت هراسی که داشت چندان چیزی نمی خورد و نمی آشامید و بسیار بد حال شده بود On the way, Mary did not eat or drink much due to his intense fear and was in a very bad mood. در نزدیکای دیار مادریش، عیسی به او گفت چرا از این خرماهای تازه نمی خوری و از این آب روان نمی نوشی تا حالت بهبود یابد Near her homeland, Jesus told her why she didn't eat of these fresh dates and drink of this running water to recover.

2👏2

5 Jun 2026, 11:02 UTC63 views6 reactionsread 11 August 2026

داستان اول First story عیسی فرزند خوانده مریم Jesus adopted son of Mary شخص نیکو خصالی به مریم پیشنهاد داد عیسی را به فرزندخواندگی بپذیرد A kind-hearted person offered Mary the opportunity to adopt Jesus چرا؟ چون مادر عیسی زن بسامانی نبود Why? Because Jesus' mother was not a well-off woman اما عیسی کودکی فهیم و مستعد بود But Jesus was an intelligent and gifted child عیسی هرچند خردسال بود اما مستعد فهم مفاهیم الهی

👏51

5 Jun 2026, 10:36 UTC239 views3 reactionsread 11 August 2026
Photo

در این کانال هم می کوشم رمزگشایی خود را از داستانهای قرآنی بیان کنم و هم اینکه در فراگیری زبان انگلیسی بکوشم. به امید تبیین مفاهیم دریافتی برای مخاطبان جهانی @Decoding_QS

👍3

Showing the 5 most recent of 5 posts we hold for @Decoding_QS. 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 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 August 2026 — this entry's latest reading, not the date you are reading this.

“رمزگشایی داستانهای قرآنی” (@Decoding_QS), 28 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/Decoding_QS.

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.