@bd_income_tips_6t9: statistics and cleanliness index
BD INCOME TIPS
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data from 2026-10-17
- Subscribers
- 104,744
- Median views
- 824
- ERR
- 0.8%
- Posts sampled
- 40
Data from 2026-10-17 — 21 days old.
Assessment summary
A channel about earning on crypto: airdrops, exchange referral bonuses, and payout screenshots — from bKash to DOGE and GRAM. It has been running for two years, about half the posts are in Bengali, and it publishes 13.5 posts per day.
A post is seen by less than a percent of subscribers — for similar channels in the catalog this share is noticeably higher, and at this posting rate an ad quickly leaves the visible part of the feed. Ad posts get almost as many views as regular ones (794 vs. 843), and on some posts there are sharply more paid star reactions — up to 100 stars. Reach is limited by feed readability, not by the placement format.
About the channel
A channel about earning on crypto: airdrops, exchange bonuses, bot tasks, and payout screenshots. About half the posts are in Bengali, the rest are in English; the feed is almost entirely photos with short captions. The channel is a little over two years old.
In the catalog for the crypto-earning topic there are @incomesea and @nawjidofficial. This channel is larger than @incomesea, but a post here is seen by a smaller share of subscribers than for both: ERR 0.8% versus 4.5% and 3.4%.
What it publishes:
- Airdrops and exchange bonuses: posts about Binance, Gate, and MEXC with referral links and promo codes.
- Payout screenshots: photos of bKash, DOGE, and GRAM transfers confirming “instant” payouts.
- Tasks and bots: links to bots and task sites with payment for invited users.
- Promo codes and giveaways: code distributions and results of small giveaways.
Posts appear mainly during the day and in the morning; on weekdays — 78% of publications, there are no reposts from other channels in the feed. The feed is frequent short notes with referral links and promises of fast payouts; don't expect long texts here.
By subscribers, it ranks #3 of 18 channels in the Earnings niche of the catalog.
What to pay attention to
Very low reach: ERR ≈ 0.8% with 104,744 subscribers
Median views are a fraction of a percent of the subscriber count: the post is seen by a tiny part of the audience. There are subscribers, but almost no views.
What grade D means
The index is clearly lowered: one or more metrics fall outside usual values. The “How the assessment was produced” section shows which ones.
Channel content
⚠️ Mixed content signals
The feed consists almost entirely of referral offers and promises of fast payouts: there are requests to DM for a code, promises of lifetime commission rebates, and advice to log in via VPN and create multiple accounts.
Compared with similar channels
Compared with 15 Earnings catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 134 to 389,559 subscribers.
This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.
Compare with another channel
Dynamics and anomalies
Scroll horizontally to see the full charts.
Views by post
The latest 40 posts with views, from Oct 14 to Oct 17. The dashed line is the median (824).
- post views
- 13 posts newer than one day and still gaining views
- median 824
Maximum: 1,055 views. Data as of Oct 17.
What scoring found in the view pattern
Very low reach: ERR ≈ 0.8% with 104,744 subscribers
Median views are a fraction of a percent of the subscriber count: the post is seen by a tiny part of the audience. There are subscribers, but almost no views.
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's data has been collected once — the chart will appear after the next update.
Advertising outlook
Advertising placement: not recommended.
Only a small share of subscribers sees the posts.
About 525–851 people will see your post in the first 48 hours.
Reach of advertising posts
Advertising posts have a median of 794 views versus 843 for regular posts — 6% lower.
Based on 9 advertising and 7 regular posts older than two days.
Without an ad label: 16 posts.
Buy advertising
Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.
We don't sell ads. This channel may not be listed there.
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Questions about @bd_income_tips_6t9
What does the channel purity index show?
The purity index is 50 out of 100, grade D, level “there are deviations”: the higher the index, the fewer the deviations. The check flagged very low reach and a spike in paid star reactions on some posts.
What share of subscribers sees a post?
ERR is about 0.8% — a post is seen by less than a percent of the subscriber base. For similar channels in the catalog, this share is noticeably higher.
Is it worth advertising here?
Placement is marked as questionable; the reason is reach: posts are seen by a small share of subscribers. Ad posts get about the same number of views as regular ones.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-17
- 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 @bd_income_tips_6t9 assessment dated 2026-10-17 uses 40 recent public posts. At that snapshot the channel had 104,744 subscribers, median post views were 824, ERR was 0.8%, and the cleanliness index was 50/100.
- Limitations
- This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.
This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/obsessed_with_ai.