This study proposes a method to assess the accuracy limit of the measurements of physical variables to formulate a model, from the perspective of storing, transmitting, processing, and using of information by an observer. The results show the existence of a problem that advanced statistical methods are provably incapable of solving due to the presence of initial and inevitable model uncertainties arising from a qualitative set of base quantities and the number of variables which are considered, even before verifying the different sources of the uncertainties and executing any experimental measurements or computer calculations. The information contained in the model can be used theoretically and practically to test the solutions to a wide range of problems. Revealing the measurement accuracy limit (in addition to the Heisenberg inequality) with the help of the information transmitted from the studied phenomenon to the observer, which is then stored in the model, helps to perform two additional tasks: choosing the preferred method for measuring a particular physical constant, in physics; and calculating the exact value of the threshold discrepancy between the model and the measured object, in measurement theory. Further research indicates the possibility of allying these methods in biological and medical sciences.

中文翻译：

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构建模型作为物理现象和观察者之间的信息通道

本研究从观察者对信息的存储、传输、处理和使用的角度，提出了一种评估物理变量测量精度极限的方法，以建立模型。结果表明存在一个问题，即由于存在初始和不可避免的模型不确定性，这些初始和不可避免的模型不确定性是由一组定性的基本量和所考虑的变量数量引起的，即使在验证不同来源之前，也存在先进的统计方法无法证明的问题。的不确定性和执行任何实验测量或计算机计算。模型中包含的信息可以在理论上和实践上用于测试各种问题的解决方案。借助从研究现象传输到观察者的信息（然后存储在模型中）的帮助，揭示测量精度限制（除了海森堡不等式之外）有助于执行两项附加任务：选择用于测量的首选方法物理学中的特定物理常数；在测量理论中计算模型与被测对象之间的阈值差异的确切值。进一步的研究表明在生物和医学科学中联合使用这些方法的可能性。在测量理论中计算模型与被测对象之间的阈值差异的确切值。进一步的研究表明在生物和医学科学中联合使用这些方法的可能性。在测量理论中计算模型与被测对象之间的阈值差异的确切值。进一步的研究表明在生物和医学科学中联合使用这些方法的可能性。