What are the limitations of a chi square test statistic? What does it mean when data is "generalizable" to the public?

What I have so far:

One of the restrictions is that each participant must be independent, which prevents one subject from falling under more than one category. A chi-square analysis is inappropriate if a participant can fit into two categories. The need that the data be frequency data is yet another drawback of utilizing chi-square. For the most effective usage of chi-square, the number of predicted participants for each class should be more than 5 for each class. The fact that the chi-square statistic is sensitive to sample size must also be taken into account. Furthermore, it should be noted that the chi-square test does not provide much insight into the strength of the link (Plant and Soil Sciences, 2022).

Reference:

Plant and Soil Sciences. (2022). When Chi-square Is Appropriate - Strengths/Weaknesses. Plant and Soil Sciences eLibrary. Retrieved November 22, 2022, from https://passel2.unl.edu/view/lesson/9beaa382bf7e/14