I Scanned Iman Gadzhi's Entire Live Series Every Day for a Week — Here's What the Data Showed

Most people watch a YouTube video and either trust it or don't. I decided to do something different.

For an entire week I scanned every video in Iman Gadzhi's live "make money online" series through TruthScore — a tool I built that analyzes YouTube videos for credibility signals most viewers never check. Engagement patterns, estimated hidden dislikes, comment sentiment, affiliate funnel detection, channel trust score, and manipulative language in the title.

Same creator. Same series. Every single day.

What I found surprised me.

Who Is Iman Gadzhi?

If you've spent any time in the make money online space on YouTube, you know Iman Gadzhi. He's one of the most watched creators in the business education niche, with millions of subscribers and videos routinely pulling hundreds of thousands to millions of views.

He's not some fly-by-night guru. He built a real agency, documented it publicly, and has a track record most creators in this space don't have. His channel trust score on TruthScore reflects that — a consistent 90/100 across every video I scanned.

But here's what's interesting: channel trust and video score are two completely different things.

The Daily Scores — A Week of Data

Here is every video I scanned, in order:

Day 1: "Let's Start a $373/Day Business Together LIVE [LIMITED TIME REPLAY]"

TruthScore: 83% — Likely Legit

Flags detected: Urgency / FOMO language ("LIMITED TIME REPLAY")

Strong opening. Near 1 million views in the first few days, 9.2% engagement which is well above average for this niche, and a dislike ratio of just 2%. The "limited time" language in the title is a known FOMO trigger but didn't drag the score down significantly. Overall this is what a legitimate, high-value video looks like in the data.

Day 2: "This Lazy AI Side Hustle Makes $373/DAY (LIVE) [LIMITED TIME REPLAY]"

TruthScore: 61% — Be Careful

Flags detected: Income-related claims in title, Urgency / FOMO language

This is where it got interesting. Same creator. Same series. Score drops 22 points overnight. The title shifted from neutral ("Let's Start a Business") to income-specific ("Makes $373/DAY") which triggered income claim flags. More significantly — the dislike ratio tripled from 2% to 6.3% in 24 hours. Engagement held strong at 9.5% but the audience was clearly more divided on this one.

Day 3: "This is The BEST AI Business to Start In 2026 (LIVE) [LIMITED TIME REPLAY]"

TruthScore: 77% — Likely Legit

Flags detected: Urgency / FOMO language

The score recovered to 77%, but two concerning trends continued. The dislike ratio climbed again to 8.7% — the third consecutive daily increase. Engagement dropped nearly in half from 9.5% to 5%. The audience was showing up but engaging less enthusiastically. The title was clean, which helped the score, but the underlying metrics were telling a different story.

Day 4: "Copy & Paste This Strategy to Make $10k+/month (LIVE) [LIMITED TIME REPLAY]"

TruthScore: 83% — Likely Legit

Flags detected: Urgency / FOMO language, Comments skew positive

Score held at 83% despite the dislike ratio climbing to 9.4% — its fourth consecutive daily increase. The "$10k+/month copy paste" title is bold but didn't trigger hard scam flags in the algorithm. Comments remained positive. But the engagement continued dropping and the dislike trend was now undeniable.

Bonus: "Give me 14 minutes, I'll give you my top 40 business advice."
TruthScore: 87% — Likely Legit

Flags detected: None
This wasn't part of the live series — it was a standalone video posted the same week. And the contrast is striking. Zero dislikes. 15.2% engagement — nearly triple the live series average. No income claims. No urgency language. No affiliate pitch. Just 40 pieces of business advice in 14 minutes.

This is what Iman's channel looks like when there's no agenda attached to the content. The data makes it impossible to miss.

Bonus: "These Business Principles Made Me $100M By Age 26"
TruthScore: 93% — Likely Legit

Flags detected: None

Highest score of the entire week. 93%. The title could easily have been flagged — "$100M by age 26" sounds like a classic clickbait income claim. But the engagement, dislike ratio, and comment sentiment all backed it up. This one is the real deal.

The Pattern Nobody Is Talking About

Here is the dislike ratio trend across the live series, day by day:

The TruthScore fluctuated up and down. But the dislike ratio climbed every single day without exception. And engagement dropped by nearly half from day 1 to day 4.

What does this mean? The audience started the series enthusiastic and ended it skeptical. The content may have been delivering value — but the daily "limited time replay" framing, the escalating income claims, and the consistent upsell pressure accumulated. Viewers noticed. The data reflects it even when the overall score doesn't.

This is exactly the kind of pattern you would never catch by watching one video. You need the full picture.

What This Tells Us About Make Money Online Content

Iman Gadzhi is one of the most credible creators in this space. A 90/100 channel trust score and videos consistently scoring above 60% puts him well above the average in a niche where scores of 30-50% are common.

But even credible creators produce content that varies significantly in quality and intent. The same channel that scores 93% on a pure value video scores 61% on a live with income claims and urgency language. The creator didn't change. The content strategy did.

This is the core insight TruthScore is built around: trust the creator, but verify the video.

How TruthScore Works

TruthScore is a free tool I built that analyzes any YouTube video in about 10 seconds. It checks:

• Engagement ratio — likes and comments relative to views
• Estimated dislike ratio — using data from the Return YouTube Dislike project
• Comment sentiment — scanning for positive and negative signals across 100 top comments
• Channel trust score — based on channel age, subscriber count, and posting consistency
• Title analysis — detecting income claims, urgency language, scam phrases, and FOMO triggers
• Description analysis — detecting affiliate funnels, course pitches, and high-pressure links

The result is a score from 0-100 with a breakdown of every flag detected.

It's free. No credit card. Just paste the link.

👉 truthscore.online

FAQ

Is Iman Gadzhi a scam?
No. His channel trust score is 90/100 which is among the highest in the make money online niche. His standalone advice videos consistently score above 85%. The lower scores in the live series were driven by specific title framing and audience dislike patterns — not by the creator being fraudulent.

Why did the dislike ratio keep climbing even when scores recovered?
The TruthScore algorithm weighs multiple signals together. A high dislike ratio can be offset by strong engagement and positive comments. But the climbing dislike trend across the series is a genuine warning sign that audience satisfaction was declining day over day — something the score alone doesn't fully capture.

Can I use TruthScore on any YouTube video?
Yes. It works on any public YouTube video — not just make money online content. Users have scanned everything from health supplements to gaming videos to documentary content. The signals it checks are universal.

How accurate is TruthScore?
TruthScore checks over 10 measurable signals per video. It is not a perfect system — no algorithm is. It cannot watch the video itself or evaluate the accuracy of spoken claims. What it can do is surface the data signals that correlate strongly with misleading or low-quality content. Think of it as a second opinion, not a final verdict.

Is TruthScore free?
The core tool is free forever. A Pro tier at $9/month offers unlimited analyses, no email gate, and full flag breakdowns.

How does TruthScore calculate the score?
The score starts at a neutral baseline and adjusts based on weighted signals. Hard scam indicators like clickbank links, guaranteed income claims, and brand-new channels with viral videos carry heavy penalties. Softer signals like affiliate links or course mentions carry lighter penalties since legitimate creators use these too. Positive signals like high engagement, low dislikes, and positive comment sentiment add points back.

Why do two videos from the same channel score differently?
Because the score is per-video, not per-channel. Channel trust is one input among many. A channel can have a high trust score while producing a specific video with misleading title framing, high dislikes, or negative comments. That is by design — it forces you to evaluate each video on its own merits.

Will you keep tracking Iman Gadzhi's series?
Yes. If the series continues I will update this post with new daily scores. Follow along at truthscore.online and check any video yourself.

Final Thought
The most dangerous YouTube content is not the obvious scam with a fake screenshot of a Lamborghini. It's the credible creator having an off week. The person you trust, posting something that doesn't live up to that trust — and you'd never know unless you looked at the data.

That's what TruthScore is for.

Check any video. Free. No credit card. No catch.

👉 truthscore.online

Built this tool because I got tired of not knowing who to trust. Still building it. If you have thoughts, questions, or videos you want me to scan publicly — drop them in the comments below.