About Backward media

Turning predictions into progress.

In an economy of infinite takes, bold forecasts hit the timeline every second—and vanish just as quickly. The pundit who swore a stock would skyrocket, the columnist who guaranteed a landslide election, the influencer predicting the next viral trend: tomorrow their words scroll off the screen, and the scoreboard remains blank.

That missing feedback loop costs us all. When no one measures outcomes, error compounds and the loudest voices—not the most accurate—shape what the world believes.

Backward media fixes the loop.

How it works

Inspired by backpropagation

In machine learning, backpropagation—the backward pass—compares a model's prediction to reality, learns from the error, and adjusts its understanding. It's how an AI gets smarter with every example.

We apply the same principle to public discourse:

1. Forward pass — We extract predictions from newspaper screenshots, capturing claims about the future from print media sources.
2. Backward pass — When real‑world results arrive, we automatically match outcomes to the original statements, score accuracy, and update each source's track record.

What we deliver

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  Transparent accountability — A permanent, tamper‑proof ledger of who said what and how it panned out.
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  Credibility scores — Data‑driven ratings that separate sharp forecasters from habitual guessers.
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  Personalized insights — Dashboards that help you choose which voices to trust—and which to mute.

Our mission

We exist to make accuracy the most valuable currency in media. By rewarding evidence‑based thinking and exposing empty noise, we elevate collective understanding and empower citizens, investors, and decision‑makers to navigate reality—not rhetoric.

Backward media: Rewarding reality.