Fake engagement check for @DANYELINFOS

DANYEL INFOS — public reach metrics and manipulation-risk assessment dated 2026-09-22.

@danyelinfos1 channel VIP : https://t.me/+2dMNVS1GZ0EzMjA0

35 /100

Grade F high manipulation risk cleanliness index
checked 2026-09-22

Subscribers: 1,394,464
Median views: 1,159
ERR: 0.1%
Posts sampled: 40

Niche Bets & Gambling

Post language English

Channel age 3 years

Assessment summary

With a claimed audience of nearly 1.4 million subscribers, the median view count barely exceeds 1,100, indicating an inflated or completely abandoned subscriber base. Over 40% of posts are regularly deleted from the feed, and comments are disabled. Placing ads here carries a high risk of wasting your budget on an empty channel showing signs of selling fake fixed matches.

Compared with similar channels

Compared with 20 checked Bets & Gambling channels with no visible signs of manipulation. There are too few channels of a similar size, so the whole niche is used: 3,424 to 1,643,071 subscribers.

ERR (reach) lower than 20 of 20

0.1% for @DANYELINFOS similar channels median: 13.5%

Reactions per 100 views lower than 11 of 17

0.51 for @DANYELINFOS similar channels median: 1

This is not a niche norm: only channels checked by the service are included. An unusually high ERR can also be a sign of inflated views.

How the assessment was produced

Data source: Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot: 2026-09-22
Sample: The latest 40 public posts available at check time.
Calculation method: TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
Factual result: The @DANYELINFOS assessment dated 2026-09-22 uses 40 recent public posts. At that snapshot the channel had 1,394,464 subscribers, median post views were 1,159, ERR was 0.1%, and the cleanliness index was 35/100.
Limitations: This is a probabilistic assessment based on public data, not proof of intentional manipulation or a real-time channel measurement.

Full methodology and interpretation rules

Channel content

🚩 Possible scam or deception signals

The feed offers paid "fixed matches" with a promised 100% win guarantee and payment in cryptocurrency.

Advertising outlook

Advertising placement: not recommended.

Some of the views may be fake.

Not calculated: a noticeable share of views looks fake.

Reach of advertising posts

No advertising posts among the latest 40.

What grade F means

High manipulation risk: strong signs of bots or inflated views. Better not to buy ads here.

What to pay attention to

Very low reach: ERR ≈ 0.1% with 1 394 464 subscribers

Median views represent fractions of a percent of the subscriber base: a negligible portion of the audience sees the publication. A typical sign of a dead or inflated base.

Dynamics and anomalies

Views by post

The latest 40 posts with views, from Sep 20 to Sep 22. The dashed line is the median (1,159).

post views
17 posts newer than one day and still gaining views
median 1,159

Maximum: 4,602 views. Data as of Sep 22.

What scoring found in the view pattern

Very low reach: ERR ≈ 0.1% with 1 394 464 subscribers

Median views represent fractions of a percent of the subscriber base: a negligible portion of the audience sees the publication. A typical sign of a dead or inflated base.

What could not be calculated

View build-up not assessed: the channel posts often, and every post is newer than a week.

Cleanliness-index history

The channel has been checked once — the chart will appear after the next check.

Run a fresh check for @DANYELINFOS

Data from 2026-09-22 — fresh.

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The bot will recheck @DANYELINFOS and message you if reach drops, subscribers jump, or the cleanliness index changes.

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