The Pendulum of Truth

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This week, I read about the Pentagon Papers—one of the most famous declassified windows into how leaders misled their citizens during war. I don’t want to catalog all the examples here; what matters is that we now know more, and that knowledge forces us to ask harder questions about transparency today. Fortunately, today’s LLMs provide us an encyclopedia of knowledge that includes many declassified and leaked documents from around the world.

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For 61 years, I listened to the stories of wars and believed the narratives handed down. They were told with integrity, valor, and clarity—or so I thought. But now, armed with an encyclopedia of world knowledge at my fingertips, I’ve started asking different questions. Questions I never could have imagined asking in decades past. Whether it’s how close the nearest spider is to me, or whether we can trust what today’s algorithms tell us, I suddenly have a way to test the stories.

And what I’ve realized is unsettling. Politicians today don’t just speak to citizens; they speak to algorithms. Their words are crafted to pass through the filters of Meta, X/Twitter, and other platforms. Gaslighting has become not only easy, but necessary for visibility. Clickbait isn’t a mistake of the system—it’s the system itself.

So I asked: has there ever been a truly just war? Not just “just” in the traditional sense of defense or moral cause, but transparent. Could leaders ever be honest with their people about why they fought, beyond the slogans, beyond the posters, beyond the headlines? Could propaganda ever exist without lies?

The answer I found was grim. Even in the best of cases—wars of survival, wars against clear tyranny—leaders were forced to simplify, exaggerate, and spin. My ChatGPT partner suggested that perhaps leaders today feel they cannot be fully transparent, both for reasons of survival and because the system of attention won’t allow it. That realization hit hard: if truth can’t get through, then maybe no war can ever be truly just.

But despair isn’t enough. So I asked again: what would it take to fix this systemically? Can we design ways for truth to survive stress—even in war, even in chaos, even with the algorithms stacked against it?

Here are some of the answers:

• Dampers for information, not muzzles. Slow down amplification of high-stakes claims until they’re verified. Treat it like a circuit breaker, not censorship.
• Provenance and audit trails. Cryptographically sign statements and media at the source—potentially using blockchain or similar distributed ledger tech—so the chain of custody is clear and verifiable.
• Correction culture. No more silent edits. Every change is logged, time-stamped, and rewarded, not punished.
• Pre-commitment protocols. Leaders should define upfront what will be withheld, what uncertainty looks like, and when updates will come.
• Cognitive inoculation. Teach people, like basic CPR, how to read uncertainty intervals and spot framing tricks. This means teaching new ways of thinking in our schools and not just expecting everyone to have life-preserving skills without training. Build resilience before the storm.
• Independent verification. Fund red teams whose only job is to challenge official claims with steelman counter-arguments and open-source checks.

These are not silver bullets. They are dampers on a pendulum that is swinging faster and further with every cycle—the same pendulum I described at the start of this reflection, one I’ve spent decades listening to without seeing its mechanics. They won’t stop war. They won’t stop propaganda. But they might give truth a fighting chance to survive the stress.

I don’t know if we’ve passed the point of no return. History tells us that pendulums break—sometimes through catastrophe, sometimes through transformation. But if we want to avoid collapse, we need to build structures where truth can bend but not snap.

This is my journey: from believing the story, to questioning the story, to realizing that the survival of truth is itself a system design problem. And design problems can be solved—if we choose to solve them. I invite you to be part of that solution: share ideas, challenge assumptions, and help build systems where truth can survive stress. Along the way, remember that tools like GenAI are not just generators but mirrors and amplifiers for reflection—they help us revisit history and reimagine the future.

Tagline: Reflection is not hindsight—it’s foresight in training.