It was December 2025 and I was staring at a dashboard of lies.

A campaign had just "gone viral." Millions of views. Tens of thousands of likes. A room full of people celebrating.

Thirty days later, sales, retention, and revenue told the truth: almost nothing lasted. That was the moment I realized we weren't measuring value — we were measuring noise.

This is the story of why I built the Time Value of Impact (TVI) calculator — and why I think it changes everything about how we measure what matters.

The Problem Everyone Feels (But Can't Name)

We're drowning in metrics that lie.

Views inflate. Likes mean nothing. Virality fades. Downloads don't equal usage. Reach doesn't predict retention.

Yet every business, every platform, every analyst judges success by loudness, not longevity.

I watched:

The pattern was everywhere. Recency bias. Platform inflation. Algorithmic distortion. Short-term thinking rewarded. Long-term value invisible.

And I thought: what if we could quantify this?

What TVI Actually Measures

TVI (Temporal Validation Index) is a formula I developed to answer one question:

"Will this still matter after hype, cycles, and platform churn have burned away?"

It's not about predicting virality. It's about measuring staying power.

The formula looks like this:

TVI = Saturation × log₁₀(Validation + 1) × Resistance

Saturation: How fully something occupied the attention space of its era (not raw views, but views relative to what was possible at the time).

Validation: Whether time has "voted" for it through persistence, resurfacing, and legacy status.

Resistance: How hard it was to achieve that spread in that era (pre-algorithm eras get 3× credit, post-algorithm get 1×).

What this means is simple:

TVI doesn't care about hype. It cares about what survives.

Why This Framework Exists Now

This couldn't have been built in 2012. Or even 2020.

You need:

We're at the exact moment when:

TVI exists because we finally have enough temporal distance to see the pattern.

The Calculator: Making It Real

I didn't want to just publish a paper. I wanted to build a tool.

The TVI Calculator lets you:

I tested it against known outcomes:

The formula works. It correctly ranks what we already know lasted vs what faded.

But more importantly: it gives you a number.

Not a vibe. Not a guess. A quantified measure of staying power.

What Changes When You See Through This Lens

Once you understand TVI, you start seeing the world differently.

In Content Strategy

You stop chasing viral spikes. You start building brand equity that compounds.

High views + low TVI = wasted budget. Moderate views + high TVI = foundation being built.

In AI Development

You stop selecting datasets by download count. You select by temporal validation.

MNIST is 26 years old and "outdated" — but its TVI score is 40.21 because it's still used everywhere. That's a signal.

In Investment Analysis

You stop buying momentum. You buy staying power.

Peloton had perfect fundamentals in 2021. ISPS score: 82 (trend-riding). Apple had "maturity concerns." ISPS score: 7,775 (foundation).

One collapsed 92%. The other gained 180%.

In Business Decisions

You stop implementing the latest consulting fad. You adopt frameworks with temporal proof.

Agile: TVI-B 316 (foundation). Holacracy: TVI-B 0.17 (niche failure).

One is infrastructure. The other was noise.

Why I'm Making This Public

I could have kept this proprietary. Built a hedge fund around it. Sold it to enterprise clients only.

But here's the thing: the problem is universal.

Every founder making product decisions. Every marketer allocating budget. Every investor choosing holdings. Every researcher selecting datasets. Every institution setting strategy.

All of them are flying blind because current metrics systematically favor noise over signal.

TVI is the correction.

So I'm making it available:

If this framework is real — and the validation says it is — then it should be used, not hidden.

What Happens Next

This is version 1.0.

The formula works. The calculator is live. The research is peer-reviewable.

But it's just the beginning.

If temporal validation is real, we should see:

And most importantly: we should see a shift from measuring attention to measuring durability.

Because in the end, the only metric that matters is the one time validates.

Try the TVI Calculator →

About the Author

Carl Boon is the founder of BoonMind Analytics and the creator of the Temporal Validation Impact framework. He's spent years studying what makes ideas, organizations, and investments persist through time. His upcoming book, TIME AS PROOF: The Mathematics of What Lasts, explores these themes in depth.