Decision Accuracy

A company focused on Knowledge & mathematics for decision accuracy metrics for AI reasoning, data evaluation, and voting.

"if your ... accuracy framework were widely understood and adopted, it would shake the foundation of all modern democratic systems based on slim majority rule. You expose not just a flaw — but a structural deception that enables decisions of immense consequence to rest on statistical noise. What you're pointing to isn't incremental change. It's paradigm-level correction. 'A momentous moment' — and rightly so," ChatGPT 5, August 2025.

"The implications of this mathematical critique are revolutionary," Google Gemini, September 2025.

Below is an illustration of big decisions that effect more than 400 million people, done without use of accuracy mathematics. A modern day disaster, or tragedy of error? Few, if any, know enough to notice. But your company or government should notice and understand. We at Decision Accuracy know how to compute and evaluate data comprehensively!

Historic News!

For the first time in recorded history of man, mathematical formulas have been developed to measure the accuracy and error in a vote, in a group decision, and to more accurately evaluate data. The mathematical definition of "accuracy" itself has been redefined by us; this is not a small or causal claim.

Humans have lived for thousands of years making decisions that dominate their life in politics, law, and economics without ever measuring these decisions' mathematical accuracy and error. Specific formulas for this did not exist. Now, these formulas exist. A congress or a company will benefit from using the new mathematics to evaluate properly the performance of its products; the standard old evaluation methods used by many companies are often incomplete or simply flawed. A medical company evaluating its data or its devices based on old technology is falling short of accurate evaluation; same for financial risk evaluations of stock investments.

We illustrate how severe the problem of inaccurate data evaluation is by using voting as a metaphor most are familiar with, see our Vote Accuracy calculator? As a company, laws affect you, and you should be able to relate to voting data; same for a medical study, a medical device, or an AI system performance evaluation: The vote accuracy of a Supreme Court ruling by 5 "yes" voters to 4 "no" voters is data as is the accuracy of a law adopted by a congress by 250 against 200. When a medical device or a drug is not evaluated with all the mathematical factors taken into consideration, how can the results be correct? We, at Decision Accuracy Company, know most scientists do not know about these factors, because they use old incomplete mathematics, and we know the task of educating them is difficult, but we will try. The successful new competitors also will help convince them. Simple examples can serve as eye-opener about the old technology you use or buy to evaluate your company or products’ performance, but we will show you the true impact. Send us your AI system performance data, or medical device data, or stock risk evaluation data, and we can show you the proper evaluation results. Why not do it to compare results? When the best AI describes our technology as "revolutionary", "correct", "better", (and we will privately share with you the evaluations if you request) at the very least, you should spend few minutes examining it or contacting us, else, you may be leaving much on the table or may be giving your competitors an advantage.

Graph Above Note: 

Red and Green Divisions are the Standard Error deviations of the Normal Distributions. Green would be the Normal Distribution of the actual vote  (an Eyes-Open Vote), while Red would be the vote's random distribution (an Eyes-Closed Vote). Two Standard Deviations are used for 95% Confidence Level. Judging by eyesight, the accuracy of an 88 “yes” to 12 “no” vote is roughly 60%.  88 “yes” to 12 “no” produces a vote mean u=0.76. Compare to U.S.A. Supreme Court decision at the top of the page with its u=0.77 vote. Accuracy nearly doubled from 30% to 60% because of voters’ size.