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Channel

کانال رمان های ساحل 🌊 موج 🌊

@moooj

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

8,580subscribers

-74 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001053285910
TypeChannel
Username@moooj
Description🌊 ساحل هستم نویسنده رمان های #اسیر_دزدان_دریایی #مقبره_لیا #آموروفیلیا #هانا_و_شیخ #رئیس_پر_دردسر #منشی_اغواگر #کوچولو_دلربا #مردی_پشت_نقاب #معشوقه_سایه #پادشاهی_گناه خرید رمان و اطلاع رسانی @mynovelsell
CreatedBetween 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/moooj

Topic

Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 5 other registered channels. They sit inside a group of 8 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@namastour/4320 Feb 2026, 11:06 UTC@moooj/98204 · this entry20 Feb 2026, 11:07 UTC1.00under a minute
@yellow_heart_novel/164020 Feb 2026, 11:06 UTC@moooj/98204 · this entry20 Feb 2026, 11:07 UTC1.00under a minute
@ParnianShab/17120 Feb 2026, 11:06 UTC@moooj/98204 · this entry20 Feb 2026, 11:07 UTC1.00under a minute
@zendegiebanafsh/107920 Feb 2026, 11:06 UTC@moooj/98204 · this entry20 Feb 2026, 11:07 UTC1.00under a minute
@atashmahbous/17820 Feb 2026, 11:07 UTC@moooj/98204 · this entry20 Feb 2026, 11:07 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@namastour5 (5/5 hand-verifiable sample passed)1.00under a minute@namastour (5–0)
@yellow_heart_novel5 (5/5 hand-verifiable sample passed)1.00under a minute@yellow_heart_novel (5–0)
@ParnianShab5 (5/5 hand-verifiable sample passed)1.00under a minute@ParnianShab (4–1)
@zendegiebanafsh7 (7/7 hand-verifiable sample passed)1.00under a minute@zendegiebanafsh (6–1)
@atashmahbous5 (5/5 hand-verifiable sample passed)1.00under a minute@atashmahbous (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 5 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 20 July 2025 to 17 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 8, the earliest publisher we hold is @thefoggymoon. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 7 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,5808,6938,636.57 August 2026 — 8,654 subscribers7 August 2026 — 8,654 subscribers7 August 2026 — 8,657 subscribers10 August 2026 — 8,676 subscribers14 August 2026 — 8,685 subscribers17 August 2026 — 8,692 subscribers20 August 2026 — 8,693 subscribers23 August 2026 — 8,692 subscribers26 August 2026 — 8,686 subscribers28 August 2026 — 8,673 subscribers1 September 2026 — 8,661 subscribers4 September 2026 — 8,665 subscribers9 September 2026 — 8,675 subscribers13 September 2026 — 8,667 subscribers16 September 2026 — 8,668 subscribers2 October 2026 — 8,625 subscribers8 October 2026 — 8,599 subscribers13 October 2026 — 8,597 subscribers17 October 2026 — 8,596 subscribers19 October 2026 — 8,595 subscribers22 October 2026 — 8,600 subscribers25 October 2026 — 8,591 subscribers29 October 2026 — 8,593 subscribers1 November 2026 — 8,586 subscribers4 November 2026 — 8,580 subscribers7 August 20264 November 2026
25 measurements spanning 89 days, net -74. 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 8,563–8,710 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
4 Nov 2026, 09:208,580-6
1 Nov 2026, 03:208,586-7
29 Oct 2026, 00:158,593+2
25 Oct 2026, 22:498,591-9
22 Oct 2026, 17:408,600+5
19 Oct 2026, 15:358,595-1
17 Oct 2026, 00:058,596-1
13 Oct 2026, 21:368,597-2
8 Oct 2026, 17:008,599-26
2 Oct 2026, 07:368,625-43
16 Sept 2026, 16:568,668+1
13 Sept 2026, 02:408,667-8
9 Sept 2026, 08:008,675+10
4 Sept 2026, 07:028,665+4
1 Sept 2026, 04:268,661-12
28 Aug 2026, 21:058,673-13
26 Aug 2026, 05:338,686-6
23 Aug 2026, 13:498,692-1
20 Aug 2026, 01:518,693+1
17 Aug 2026, 12:178,692first reading

Engagement

43 posts held, back to 10 July 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 35 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.20%
avg views ÷ 8,580 subscribers
Avg views / post
618
10 posts measured
Reaction rate
3.14%
reactions ÷ views · ER floor
Posts in window
10
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 5 November 2026
Posts held43 (10 July 2025 – 5 November 2026)
Views total6,175
Reactions total194
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 22:38 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

Photos
≈18,900
Videos
≈215
Links
≈4,180

Lifetime counters from Telegram’s own channel header, read 5 November 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.

Video runtime
15s
Average length
15s

Measured directly from 1 video 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

1,358 reactions across 41 posts, in 5 distinct kinds. The most used accounts for 73.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,00273.8%
💔21215.6%
❤‍🔥14010.3%
💘30.221%
🦄10.074%

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 41 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 1,358 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 10 July 2025 to 5 November 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: 0 of 10 posts held from the last 30 days (0%) 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).

5 Nov 2026, 13:27 UTC197 views10 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۲۵ بن اما مثل همیشه همون صورت سرد و بی‌حالتش رو داشت؛ انگار نه انگار از سر تا پا گِلی شده. سام گفته بود حدود یه ساعت دیگه برمی‌گردن، ولی حالا نزدیک دو ساعت گذشته بود. با دیدن اون دوتا تازه فهمیدم چرا این‌قدر طول کشیده بود. سام با حرص کلاه استتسون گِلی و کثیفش رو از سرش برداشت و با تأسف نگاهش کرد. ـ بهترین کلاهی بود که داشتم. خانم کینگ از خونه اومد بیرون و کنارم ایستاد. منتظر …

❤10

4 Nov 2026, 13:27 UTC343 views18 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۲۴ در حالی که نگاه می‌کردم مایا وارد خونه بشه، گفتم: ـ فکر نکنم. دنده رو گذاشتم روی عقب و ماشین رو راه انداختم. سام منتظر موند شاید بیشتر توضیح بدم. ولی چیزی نگفتم. چند لحظه بعد دوباره گفت: ـ ولی رفتارش این‌طوریه. ـ شاید. باز هم چیزی اضافه نکردم. خب، اختیارش بود. من همیشه همین‌طوری بودم. سام راحت به صندلی تکیه داد و خودش رو برای مسیر رودخونه آماده کرد. مایا ـ ای وای، خدایا..…

❤18

3 Nov 2026, 13:27 UTC452 views17 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۲۳ شاید واقعاً قیافه‌م ترسناک بود. هیکل درشتم به اندازه کافی می‌تونست آدم رو بترسونه. تازه خیلی‌ها می‌گفتن نگاهم بیش از حد سرد و جدیه؛ نگاهی که می‌تونست هر کسی رو معذب کنه. همیشه همین‌طور بود. اگر از کسی خوشم نمی‌اومد، لازم نبود حتی یه کلمه حرف بزنم. طرف خودش از نگاهم می‌فهمید. خیلی زود رسیدیم جلوی خونه مایا. تجملی نبود. خونه درست پشت مغازه‌شون بود؛ یه خونه معمولی دوطبقه، تمی…

❤17

2 Nov 2026, 13:27 UTC526 views18 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۲۲ مایا شوکه چشم‌هاش رو گرد کرد. ـ چی؟ سام زد زیر خنده. ـ هیچی. فقط سوار شو. هنوز داشت می‌خندید که مایا با اکراه سوار شد. سام قبل از اینکه در رو ببنده، یه نگاه بامزه به من انداخت. واقعاً برام عجیب بود که هنوز هم دختری به این سادگی و معصومیت پیدا می‌شه. بعد از حرف سام، مایا دیگه حتی جرئت نمی‌کرد توی چشم‌هام نگاه کنه. چند لحظه بعد دستم رو گذاشتم روی دسته‌دنده و دنده رو از یک به…

❤18

1 Nov 2026, 13:27 UTC574 views23 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۲۱ سام نفسش رو با حرص بیرون داد. ـ اه، لعنتی! باید از این خونه بزنم بیرون. خندیدم و یه هل کوچیک بهش دادم تا راه بیفته سمت کامیون. ـ مثل پیرزن‌ها غر می‌زنی. از پارکینگ کلیسا بیرون زدیم. سام تازه متوجه شد به جای اینکه به سمت غرب برم، پیچیدم سمت شرق. ـ کجا داریم می‌ریم؟ خیلی خونسرد جواب دادم: ـ خونه مایا. دوازده بلوک با اینجا فاصله داره. با اون کفش‌ها پیاده رفتن راه زیادیه. سام …

❤23

31 Oct 2026, 13:27 UTC621 views22 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۲۰ دست‌هاش رو توی هم گره کرد و سریع گفت: ـ من برم بهتره. خداحافظ. دیگه به من نگاه نکرد. راه افتاد و توی پیاده‌رو به سمت خونه رفت. همون موقع بابا از پشت سرمون رسید. دست مامان رو گرفت و گذاشت روی بازوش، بعد رو به من و سام گفت: ـ قبل از اینکه برگردین خونه، می‌خوام یه سر برین به گاوهای کنار رودخونه بزنین. سر تکون دادم. صبح زود بهمون گفته بودن شاید لازم بشه بریم گاوها رو چک کنیم، …

❤19❤‍🔥3

30 Oct 2026, 13:27 UTC725 views23 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۱۹ لبخندی که داشت روی لبم می‌نشست رو پنهان کردم. باورم نمی‌شد، مایا فقط با نگاه کردن به من گونه‌هاش سرخ می‌شد؟ جالب بود. با خجالت گفت: ـ راستش من نمی‌خوام... مامان که حرف‌هامون رو شنیده بود، وسط حرفش پرید: ـ این چه حرفیه؟ وقتی یکشنبه برای خانواده ما کار می‌کنی، باید ناهار بیای پیش ما. تازه خیلی هم لاغری! باید بهت برسم. جای بحث هم وجود نداره. بعد دستش رو روی بازوی مایا گذاشت و…

❤23

29 Oct 2026, 13:27 UTC827 views19 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۱۸ روی پله‌ها ایستاد تا راه براش باز بشه. وقتی از کنارم رد شد، با خجالت یه لبخند بهم زد. من هم دستم رو بردم سمت کلاه و کمی بالا آوردم؛ یه جور سلام و احترام. همین که چشمم به چشم‌هاش افتاد، نگاهش رو سریع دزدید. دستپاچه شد. خیلی کم پیش می‌اومد مستقیم نگاهش کنم یا باهاش حرف بزنم. شاید برای همین همین حرکت ساده هم حسابی غافلگیرش کرده بود. هنوز چند قدم بیشتر نرفته بود که سام از بین…

❤19

28 Oct 2026, 13:26 UTC910 views19 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۱۷ صبح یکشنبه جلوی در کلیسا ایستاده بودم تا به مامان کمک کنم از پله‌ها پایین بیاد. مامان زن کوتاه و تپلی‌ای بود با موهای کاملاً خاکستری. هر کسی که خانواده‌مون رو می‌شناخت، همیشه براش جالب بود که چطور زنی که قدش به زور به یک متر و پنجاه می‌رسید، تونسته بود دو تا پسر به هیکل من و سام به دنیا بیاره. ولی نباید گول جثه کوچیکش رو می‌خوردی. مامان از اون نسل قدیمی زن‌های دامدار بود؛…

❤19

27 Oct 2026, 13:28 UTC≈1,000 views25 reactionsread 5 November 2026

#رمان_بزرگسالان رمان #مایا از #ساحل قسمت #۱۶ فقط یه «هوم» زیر لب گفتم و دوباره نگاهم رو به جاده برگردوندم. ولی تصویر مایا از ذهنم بیرون نرفت. دختری با چشم‌های گیرا. موهای همیشه بافته. و اون نگاه‌های کوتاهی که هر بار من رو می‌دید، خیلی زود فرار می‌کرد. نمی‌دونستم چرا. و راستش، ترجیح می‌دادم همون‌طور باقی بمونه. چون هرچه بیشتر درباره‌اش فکر می‌کردم، بیشتر حس می‌کردم این دختر قرار نیست برای مدت زیادی فقط یه دخت…

❤25

5 Oct 2026, 20:19 UTC≈2,040 views20 reactionsread 5 November 2026
Photo

بچه ها رمان‌مایا تو باغ استور آپدیت شد تو نسخه رایگان ۲۵ صفحه جدید تو نسخه vip هم ۷۰ صفحه جدید براتون اپدیت شد همین الان وارد اپلیکیشن رمان خوانی باغ استور بشید و رمان مایا بخونید @BaghStore_app Www.baghstore.net

❤18💔2

5 Oct 2026, 15:35 UTC≈1,930 views22 reactionsread 5 November 2026

۸ تا پارت جدید گذاشتم اما تو باغ استور تا اخر رایگان میذارم و همین الان نسخه رایگان از صفحه ۳۰۰ گذشته فقط کافیه رایگان برنامه رو نصب کنی و رمان بخونی 😘 نصب برنامه از اینجا @BaghStore_app

❤22

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

Posts recorded as deleted after publishing

We recorded 1 post on @moooj as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
28 August 2026
Most recent seen missing
28 August 2026
Median time before seen missing
42 days
Seen missing in the last 30 days
0

Forward network

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.

Mentions

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“کانال رمان های ساحل 🌊 موج 🌊” (@moooj), 8,580 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/moooj.

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.