The Questions That Have Been Reshaping How I Think About Wealth, Time, and the Future

Over the last ten days, I’ve been using my conversations with Thor—my AI research partner—as a thinking laboratory. Not to get answers fast, but to ask better questions.

What emerged wasn’t a single insight. It was a pattern.

The questions I keep returning to all orbit the same theme: How do we live extraordinarily well once “enough” is already handled?

Below are the three questions that have mattered most—and how they’ve changed my thinking.

1. How Efficient Is My Money—Really?

This question surfaced after exploring long-term returns, lifestyle design, and the reality of financial independence.

Once someone has meaningful capital—say $1M+ invested and compounding at 7–9%—the game changes.

That portfolio is already doing its job. It’s covering the baseline. It’s buying optionality.

The real question stops being how much more and becomes:

What kind of yield am I actually getting from my money?

Not just financial yield—but:

• Health yield (energy, clarity, longevity)

• Time yield (hours reclaimed, friction removed)

• Curiosity yield (learning, experimentation, exploration)

This reframed everything. Spending on recovery, diagnostics, tools like ChatGPT Pro, or travel that expands perspective stopped looking like “cost.” It started looking like capital allocation.

Outcome: Money isn’t a scoreboard. It’s an efficiency system.

Action Step: For one week, tag every expense as Wealth, Health, Time, or Noise. Reallocate 10% of “Noise” toward the category that would most improve your life right now.

2. What Does “Collapse of Probability” Look Like in Real Life?

This question emerged from a deeper conversation about quantum mechanics, Joe Dispenza-style coherence, and whether those ideas have any practical grounding.

The useful takeaway wasn’t mystical. It was structural.

In physics, many outcomes exist until measurement happens. In life, the same is true: uncertainty persists until attention + environment + action align.

We translated that idea into markets using options Greeks. When Delta, Gamma, volatility, and time align, price behavior becomes more predictable. Not risk-free—but coherent.

That led to a broader realization:

Most people don’t lack opportunity—they lack alignment.

They never stack intent, environment, and feedback long enough for outcomes to stabilize.

Outcome: “Reality collapse” isn’t about belief. It’s about measurement and repetition.

Action Step: Choose one domain this week (health, work, money). Define one measurable input, observe it daily, and adjust environment—not willpower—to support it for 7 days.

3. What Kind of Future Am I Actually Investing Toward?

This question came alive while reviewing a global Metatrends report for 2035+ and sketching a hand-drawn map of the future at my kitchen table.

AI everywhere. Robotics. Longevity. Vertical mobility. Abundant energy and food. Education without classrooms. Intelligence as infrastructure.

The future stopped feeling abstract. It felt navigable.

That shifted my investing lens from:

“What has the highest return?” to “What kind of world do I want my kids to explore?”

Capital, attention, and learning started flowing toward the same places:

• AI and agent ecosystems

• Longevity and healthspan platforms

• Robotics and autonomy

• Experiential education and exploration

Outcome: The most satisfying investments align with the future you’re excited to live in.

Action Step:Write down three industries or technologies that genuinely excite your curiosity. Commit to learning—not investing—in one of them for the next 30 days.

What This Ten-Day Experiment Taught Me

These questions weren’t separate. They were connected. Money efficiency, coherence, and future-focused investing all point to the same truth:

Progress accelerates when curiosity, capital, and environment are aligned.

This is the work I’m doing now—documenting the questions, testing the frameworks, and sharing the experiments as they unfold.

Not for the crowd. For the few who value signal over noise.

If any of these questions resonate, try the action steps. Run the experiment. See what changes.

That’s how the lab moves forward.

Dustin