Definition: The word "achronial" in the context of scientific research refers to a type of study or experiment that has been conducted without taking into account or accounting for any previous studies or experimental data, leading to inaccurate conclusions. Achronic experiments can be carried out using various methods such as suboptimal design, non-standardization of data collection, and incomplete or inaccurate record-keeping. This is because the original researchers may have relied on outdated or unreliable sources or have not taken into account any previously published studies that might contradict their findings. Anarchic studies aim to minimize this bias by using more recent data and methods in order to provide accurate results. For example, one approach could involve using new technologies such as deep neural networks to analyze large datasets without relying on old models or outdated software. The term "achronial" is used to describe any study that does not take into account or accounts for prior research, leading to inaccurate conclusions.

achronical