Why Owners Are Becoming Increasingly Impatient With the Lack of ROI

On the previous page we saw that even two variables create a multi‑billion combinatorial challenge — and most methods never find the jackpot that would truly serve the owner’s interest. Nobody talks about this.

And nobody talks about the next uncomfortable truth either — even though this is exactly where the failure comes from.

From Universe of 267 Variables to a Pencil Dot

If you start with 267 variables, most data scientists immediately reduce them to around 50 based on linear correlation or personal intuition.

But this does not mean exploring 50 out of 267 — which would be 18.7%.

267 variables allow more possible models than atoms in the observable universe (≈2.37×1080). Reducing them to 50 collapses that universe into the number of graphite atoms in a barely visible pencil dot (≈1.13×1015).

There is no real surprise in the fact that nothing truly groundbreaking emerges from a pencil dot — while the entire model universe around it is excluded.

The Excuse Fits on a Keychain

The standard objection against using more variables is overfitting. This is like insisting that cars should still drive at 20 km/h because “speed increases risk”. The automotive industry invented brakes, airbags, and stability systems — and now we can drive safely at 130 km/h.


After more than 30 years in data science, I developed the Combinatorial Universe Engine (CUE) — the business equivalent of a high‑performance engine combined with a perfectly engineered brake — allowing the full combinatorial universe to be explored without any risk of overfitting, even with all interactions among 5,000 variables. The CUE has already proven its ROI impact: in Israel, it delivered the best return among 55 kibbutzim for 10 years in official comparisons.


Finally, let’s state openly what no one wants to say: when there is no ROI, even the most impressive AI labels cannot hide the fact that it creates a massive competitive disadvantage — because the extra cost flows directly into prices, and higher prices immediately erode competitiveness.


ROI becomes consistently achievable when the full combinatorial universe is used. If you want to replace promises with quantified ROI, let’s talk.

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