Gambling & betting — 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 26 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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.
Views per post sit far below this size band
3.9 average views per post against 23,054 subscribers — an engagement rate of 0.017%. Across the 6,391 registered channels in the same cohort — 10,001–31,617 subscribers, posting mainly in English — the middle half sit between 2.54% and 14.4%, with a median of 6.81%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
368 of 368 published in the window (368 exact, 0 rounded by Telegram)
Views totalled
1,419
Mature posts only
0.029% over 48 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 5 November 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.
Growth
35 measurements spanning 65 days, net -135. 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 23,021–23,196 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
10 Nov 2026, 16:49
23,041
-2
9 Nov 2026, 06:39
23,043
-3
7 Nov 2026, 20:08
23,046
-4
6 Nov 2026, 16:27
23,050
-1
5 Nov 2026, 19:10
23,051
-3
4 Nov 2026, 16:58
23,054
-3
2 Nov 2026, 17:00
23,057
-3
1 Nov 2026, 17:29
23,060
-2
31 Oct 2026, 19:59
23,062
-1
29 Oct 2026, 20:46
23,063
-1
28 Oct 2026, 22:38
23,064
-4
27 Oct 2026, 18:46
23,068
-1
26 Oct 2026, 21:02
23,069
-3
24 Oct 2026, 20:39
23,072
-4
23 Oct 2026, 22:50
23,076
-1
22 Oct 2026, 22:40
23,077
-1
21 Oct 2026, 21:26
23,078
-3
20 Oct 2026, 13:45
23,081
-2
19 Oct 2026, 16:30
23,083
-1
18 Oct 2026, 17:21
23,084
first reading
Engagement
688 posts held, back to 29 October 2020 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 52 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.018%
avg views ÷ 23,041 subscribers
Avg views / post
4.2
363 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
363
of 688 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
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
688 (29 October 2020 – 10 November 2026)
Views total
1,515
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 14:45 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 363 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).
Showing the 12 most recent of 688 posts we hold for @FERRARI_BULLET_CRICKET_LIVE_LINE. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 19 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Sakshi tips @cricket_news_tipss · 17,306 Telegram ranks this channel #19 of 19 here — alongside 18 others — read 6 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“FERRARI BULLET CRICKET LIVE LINE” (@FERRARI_BULLET_CRICKET_LIVE_LINE), 23,041 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/FERRARI_BULLET_CRICKET_LIVE_LINE.
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.
