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Fake engagement check for @timelucker

TimeLucker — public reach metrics and manipulation-risk assessment dated 2026-08-31.

СТРИМЕР ЕС ЧО ПЛЕЙ-ТУ-ИКС-НУЛСЯ

Grade D some signals require caution cleanliness index
checked 2026-08-31
Subscribers
613
Median views
918
ERR
149.8%
Posts sampled
39
Niche Bets & Gambling

Assessment summary

Median views exceeding the subscriber count is typical for streamer channels with external traffic from Kick or YouTube; however, the deletion of 46% of posts and the lack of view maturation indicate a risk of one-time view boosting. With a low reaction rate (0.60% of views), an advertiser risks overpaying for reach, a significant part of which may not belong to an engaged, regular audience.

Compared with similar channels

Compared with 18 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) higher than 18 of 18
149.8% for @timelucker similar channels median: 16.2%
Reactions per 100 views lower than 9 of 15
0.6 for @timelucker similar channels median: 0.71

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
2026-08-31
Sample
The latest 39 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 @timelucker assessment dated 2026-08-31 uses 39 recent public posts. At that snapshot the channel had 613 subscribers, median post views were 918, ERR was 149.8%, and the cleanliness index was 50/100.
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

📣 Heavy advertising load

The feed consists primarily of online casino referral ads, stream announcements, and external bot promotions.

Advertising outlook

Advertising placement: questionable.

Some of the views may be fake.

Not enough posts for a forecast.

Reach of advertising posts

No advertising posts among the latest 39.

What grade D means

Clear signs of manipulation: several strong signals at once. Ads here are risky.

What to pay attention to

Views do not mature (old ≈ fresh, ×1.00)

In an active channel, older posts typically gain 1.5–3 times more views than 24-hour posts. Here, older posts accumulated roughly the same amount — a typical sign of one-time view boosting upon publication. Caveat: there is only 1 24-hour post in the sample, which is not enough to evaluate the channel, so the observation is considered weak.

Dynamics and anomalies

Views by post

The latest 39 posts with views, from Jul 20 to Aug 30. The dashed line is the median (918).

08131.6KJul 20: 36 viewsJul 20: 35 viewsJul 20: 73 viewsJul 21: 53 viewsJul 21: 56 viewsJul 21: 52 viewsJul 21: 63 viewsJul 21: 73 viewsJul 21: 74 viewsJul 21: 64 viewsJul 24: 58 viewsJul 24: 50 viewsJul 24: 54 viewsJul 24: 49 viewsJul 24: 918 viewsJul 24: 66 viewsJul 24: 951 viewsJul 24: 1,050 viewsJul 24: 1,043 viewsJul 24: 58 viewsJul 24: 1,047 viewsJul 24: 1,036 viewsJul 25: 782 viewsJul 25: 1,161 viewsJul 26: 883 viewsJul 27: 976 viewsJul 27: 1,044 viewsJul 27: 1,054 viewsJul 28: 1,427 viewsJul 28: 1,576 viewsJul 29: 1,626 viewsAug 4: 1,077 viewsAug 8: 1,253 viewsAug 17: 928 viewsAug 21: 1,539 viewsAug 23: 939 viewsAug 27: 1,002 viewsAug 29: 1,094 viewsAug 30: 905 views Jul 20Aug 30

Maximum: 1,626 views. Data as of Aug 31.

What scoring found in the view pattern

Views do not mature (old ≈ fresh, ×1.00)

In an active channel, older posts typically gain 1.5–3 times more views than 24-hour posts. Here, older posts accumulated roughly the same amount — a typical sign of one-time view boosting upon publication. Caveat: there is only 1 24-hour post in the sample, which is not enough to evaluate the channel, so the observation is considered weak.

Cleanliness-index history

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

Check today: @timelucker

Data from 2026-08-31 — 20 days old. Check the channel today before buying ads.

Buy advertising

No signs of manipulation. You can buy ads on these marketplaces — they have channel catalogs, prices, and checkout.

We don't sell ads. This channel may not be listed there.

Where to buy advertising

Affiliate links: we get a commission. It never affects the channel's score.

Monitor this channel

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

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Questions about @timelucker

What risk level is recorded for the channel?

The channel received 50 risk points out of 100 (yellow zone), indicating a likelihood of partial view boosting.

Why is ad placement considered questionable?

The verdict is based on suspected artificial view inflation and the deletion of about 46% of posts from the feed.

What real reach can be expected?

The median figure is 918 views, but due to low reaction activity and feed instability, the actual audience response may be significantly lower.

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This automated assessment is probabilistic: statistical signals, not an accusation. Disagree? Run a fresh check in the bot. Want the page removed? Contact support and we'll take it down within a day.

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