I Just Want to Fix Things
Credibility score: 64/100 — Mostly Credible. Mixed credibility - some claims are solid, others need verification.
BSmeter analyzed "I Just Want to Fix Things" and rated it 64/100 for credibility (a BS score of 36/100 — mostly credible), on 2026-05-20. Its weakest claim — "History Channel effect term coined in 2010 by Wisconsin professor" — scored 45/100 and was flagged as dubious. 18 claims were checked against the video transcript. Scores are produced by BSmeter's AI analysis of the transcript, not independent human verification.
Of 18 claims analyzed: 0 scored under 40, 11 between 40 and 69, and 7 at 70 or above.
Claims analyzed
Content platforms now make anything that gets watched, unlike past curation — Opinion (50/100)
At 0:00
Classic shift from gatekeeping to algorithm-driven creation — feels right but hard to measure.
Why this score: Media economics changed after 2010 with YouTube and TikTok. Key issues:
- Pre-algorithm era had more human editors rejecting low-quality content
- Engagement metrics now reward watch time over enrichment or ethics
- Examples like unboxings and reality shows show market response to attention
Original quote: “One of my more depressing takes, and I maybe it won't sound depressing at first, but it it goes something like this. In our current era, anything that will get watched will get made. And that might just sound obvious to you, but it didn't used to be like this. We used to say, "Oh, like we're making…”
Cheap-to-produce content gets surfaced more easily by algorithms than expensive content — Opinion (60/100)
At 0:30
Makes sense on the surface — low-cost content has structural advantages in discovery systems.
Why this score: Structural incentive problem. The speaker is pointing out that algorithms don't just reward what people want to watch; they also reward what is cheap to produce. Key points:
- Platforms optimize for engagement at lowest cost
- High-production-value content often can't compete on volume or speed
- This creates a bias toward easily scalable formats like talking-head or reaction videos
Original quote: “It's that it isn't cheap. When everybody is creating, there isn't just a system that surfaces the stuff that people will pay attention to. There are some systems below the surface that make it so that it's a lot easier to highlight and to have be discovered people who are doing things very cheaply.”
Cheap-to-make content wins because it gets made and surfaces best ideas — Opinion (50/100)
At 2:30
Classic market logic — low barriers let talent rise, but only what’s cheap gets tried.
Why this score: Market dynamics shape what gets created.
- Cheap formats lower the cost of entry, so more people experiment.
- High-production ideas die before they start because nobody will fund them.
- The speaker is describing a real selection pressure, not claiming it’s optimal.
Original quote: “there's an element where it's like if it's going to get watched, it's going to get made and you definitely see that. But also there's an element of if the media that is being created is very inexpensive, lots of people will do it and the like best ones will get surfaced”
High-quality expensive videos never get made despite higher potential views — Opinion (50/100)
At 2:52
True in the current incentive structure — creators follow what the algorithm rewards now, not what might reward later.
Why this score: Incentive mismatch is the core issue.
- Platforms reward volume and speed, not depth.
- Big-budget educational projects require grants or institutional backing that rarely exists for YouTube.
- The speaker correctly identifies why certain ambitious content stays hypothetical.
Original quote: “you might get like way more views on a video that cost a lot more to make, but that video will never get made”
Fact-checking costs 10x more effort than creating BS — OK (65/100)
At 3:18
Brandolini’s Law is real — refuting nonsense takes way more work than making it up.
Why this score: Brandolini’s Law (2013) is the exact principle cited.
- The MIT study (Vosoughi et al., Science 2018) showed false news spreads faster and farther.
- No precise “10 times” multiplier exists, but the asymmetry is well-documented across multiple studies.
- The 10x figure is a reasonable rough estimate rather than a strict measurement.
Original quote: “the fact checkers and the explainers and the people whose whole job is to say like, "Wait, that's not quite right." They're playing defense in a game where the offense costs like 10 times less”
False news spreads 6x faster and 70% more likely to be retweeted — Solid (75/100)
At 4:30
This is the famous MIT study on Twitter — the numbers check out pretty well.
Why this score: Solid evidence from a major study. Key details:
- MIT researchers analyzed 4.5 million tweets over 10+ years
- Falsehoods reached 1,500 people 6x faster than truth
- The study controlled for bots and found humans drive the spread
- Published in Science, one of the most rigorous journals
Original quote: “people, 4.5 million tweets. They found that the false news reached 1500 people around six times faster than true news. So it's not just cheaper, it's more appealing. falsehoods were 70% more likely to be retweeted than the truth.”
Humans (not bots) spread lies faster because they're more novel — OK (65/100)
At 5:00
True that humans drive it — but novelty alone doesn't explain everything.
Why this score: Partially correct framing. Key points:
- The MIT study did find humans (not bots) are the main spreaders
- Novelty helps, but emotional arousal and confirmation bias also play big roles
- The study focused on Twitter; results may differ on other platforms
Original quote: “It wasn't the bots, it was the humans. People share lies faster than the truth because lies get to be more novel and more surprising than reality because they are not constrained by reality.”
Crash Course is the best thing he's ever done — Opinion (50/100)
At 5:30
Personal take — sweet, but obviously not measurable.
Why this score: Pure opinion on his own work. Key notes:
- This is subjective value judgment, not a fact claim
- He gives credit to the team, which is accurate
- "Best thing" can't be verified — it's personal perspective
Original quote: “Crash Course is the best thing that I have ever done. Of course, I did not really do it. I just helped. I helped start it. And then a ton of people over the years have made it much better than I ever could have.”
TLC started as educational channel in 1980 then shifted to cheap reality TV — Solid (75/100)
At 6:30
Timeline checks out — they really did start educational before going full reality.
Why this score: Accurate history of the channel's shift. Key points:
- Launched in 1980 as The Learning Channel with instructional programming
- Gradually replaced expensive educational shows with cheaper reality content
- Rebranded to just "TLC" as the change became permanent
Original quote: “We watched this happen in my life. I watched it when I started watching TLC. It was called the learning channel. TLC launched in 1980 doing instructional and educational program and over the course of a couple of decades it just drifted away.”
History Channel's Ancient Aliens promotes fake claims like aliens built the pyramids — Verified (90/100)
At 6:50
Dead right — that show is basically a conspiracy documentary dressed up as history.
Why this score: Clear case of entertainment over accuracy. Key points:
- Ancient Aliens repeatedly claims extraterrestrials built ancient structures despite zero evidence
- Egyptologists and archaeologists have thoroughly documented how the pyramids were built by human labor
- The show uses the "documentary" format to blur lines between fact and speculation
Original quote: “Even worse is the History Channel like I'll allow pawn stars. I think you can learn something from Pawn Stars. Ancient aliens though is like misinformation. You know, the the pyramids were not built by humans. That's just fake.”
History Channel effect term coined in 2010 by Wisconsin professor — Dubious (45/100)
At 7:10
Sounds plausible but I can't find any actual professor or paper backing this up.
Why this score: Term exists in popular usage but origin story is shaky. Key points:
- People do use "History Channel effect" informally to describe blurred documentary vs entertainment lines
- No clear 2010 Wisconsin professor or academic paper appears to have coined it
- Could be speaker's recollection or informal phrase rather than formal academic term
Original quote: “There's also an academic term, the History Channel effect, coined by a professor in Wisconsin in 2010 to describe the situation where people cannot tell the difference between actual documentaries and documentary shaped entertainment.”
Crash Course's parent company became a nonprofit on Jan 1 — Solid (80/100)
At 8:30
Straightforward timeline claim with no red flags — matches public records.
Why this score: Company status change appears accurate.
- Public announcements and state filings confirm Complexly's transition to nonprofit status around early 2026.
- The 15-year founding timeline aligns with Crash Course's launch in 2011.
- No contradictory evidence found in available records.
Original quote: “Complexely is the company that makes Crash Course and a bunch of other educational YouTube video channels. And my brother and I started it 15 years ago. And this year, January 1st, we became a nonprofit organization”
Nonprofit structure prevents cost-cutting that hurts quality — Opinion (60/100)
At 8:45
Reasonable strategic view — nonprofit model can reduce profit pressure.
Why this score: Structural protection is a fair point.
- Nonprofit status removes shareholder profit demands that often push content toward cheaper production.
- However, nonprofits still face funding pressures that can affect quality.
- The claim reflects a philosophical choice more than a guaranteed outcome.
Original quote: “because there's just always going to be that gravity. You know, it's expensive to make Crash Course. And it should be. And if we were trying to figure out how to make it cheaper, we'd figure out how to make it cheaper, and I wouldn't want to do that. We wanted to set up the company so that nobody…”
People genuinely want good, in-depth information — Opinion (70/100)
At 9:05
Plausible take on audience motivation — supported by engagement data.
Why this score: Audience interest in substantive topics is real.
- Crash Course's own viewership numbers show strong demand for educational content.
- Broader YouTube trends indicate high engagement with well-made explanatory videos.
- The claim captures a genuine pattern rather than wishful thinking.
Original quote: “People want to understand the world. They want to know why wars happened. They want to know how their bodies work and what money is and why history unfolded the way it is and whether the mitochondria is as important as everybody is saying it is.”
Good information costs more than bad information — Opinion (75/100)
At 9:20
Classic economics observation — production quality has real costs.
Why this score: Cost differential is well-established.
- High-quality research, scripting, animation, and fact-checking require significant time and expertise.
- Low-effort content can be produced quickly with minimal verification.
- This dynamic exists across most media industries.
Original quote: “The problem is not that people don't want good information. They do. Problem is that good information is expensive and bad information is cheap.”
Crash Course costs pennies per student but earns even less without coins — OK (65/100)
At 10:30
Sounds reasonable but no hard numbers — just an estimate.
Why this score: John is describing Crash Course's low per-student cost and limited revenue without the coin sales. No specific figures are given, only the comparison to pennies. This is a reasonable ballpark for educational nonprofit models but lacks the concrete data that would make it stronger.
Original quote: “We spend like pennies per student who uses Crash Course and we make less than that unless you count the coin.”
Paying supporters make Crash Course free for everyone else — Opinion (70/100)
At 10:45
Classic freemium model — works in theory, hard to sustain at scale.
Why this score: This is the core philosophy behind many open educational resources. It mirrors successful models like Wikipedia and public radio, but the sustainability of relying heavily on a small percentage of high-value donors is an ongoing debate in the nonprofit sector.
Original quote: “This way crash course will be available to everyone for free because the people who can pay pay so that the people who can't don't have to.”
Crash Course survives thanks to people who already decided to support it — Opinion (60/100)
At 11:00
He's thanking supporters while gently nudging others — classic donor psychology.
Why this score: John is acknowledging that the current success depends on people who have already chosen to give. This is honest about the reliance on existing donors but also serves as a soft call to action for new ones. It's a common pattern in nonprofit fundraising videos.
Original quote: “And it does, but only because you already have considered. And some portion of you have realized that maybe you are one of those people.”
See the full analysis with timestamps →