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Isn't "any, some, or all" redundant? Why not write just "any"?

Please see the title of this post. In the following quotations, what changes — if anything — if you replace "**any, some[,] or all**" with just "`any`"? Don't these authors need just "`any`"? 

I deliberately picked books written by mathematicians, because math requires logic and precision.


### 9. Yves Nievergelt, *Logic, Mathematics, and Computer Science Modern Foundations with Practical Applications* (2015), [page 329](https://www.google.com/books/edition/Logic_Mathematics_and_Computer_Science/AInDCgAAQBAJ?hl=en&gbpv=1&dq=%22any,+some,+or+all%22+computer&pg=PA329&printsec=frontcover).
>
>![](https://i.stack.imgur.com/eKoDz.jpg)


### 10. Chantal D. Larose, *Data Mining and Predictive Analytics* (2015), [page 246](https://www.google.com/books/edition/Data_Mining_and_Predictive_Analytics/fFy3BgAAQBAJ?hl=en&gbpv=1&dq=%22any,+some,+or+all%22+statistics&pg=PA246&printsec=frontcoverr).
>
>![]( https://i.stack.imgur.com/kikn4.jpg)

### 11. G Gettinby, *Experimental Design Techniques in Statistical Practice A Practical Software-Based Approach* (2014), [page 130](https://www.google.com/books/edition/Data_Mining_and_Predictive_Analytics/fFy3BgAAQBAJ?hl=en&gbpv=1&dq=%22any,+some,+or+all%22+statistics&pg=PA246&printsec=frontcoverr).
>
>![](https://i.stack.imgur.com/onk9Y.jpg)

### 12.  Ranjit Kumar, *Research Methodology A Step-by-Step Guide for Beginners* (2005), [page 78](https://www.google.com/books/edition/Research_Methodology/x_kp__WmFzoC?hl=en&gbpv=1&dq=%22any,+some,+or+all%22+statistics&pg=PA78&printsec=frontcover).

>### Errors in testing a hypothesis 
>
>As already mentioned, a hypothesis is an assumption that may prove to be 
either correct or incorrect. It is possible to arrive at an incorrect conclusion 
about a hypothesis for a variety of reasons. Incorrect conclusions about the 
validity of a hypothesis may be drawn if: 
• the study design selected is faulty; 
• the sampling procedure adopted is faulty; 
• the method of data collection is inaccurate; 
• the analysis is wrong; 
• the statistical procedures applied are inappropriate; or 
the conclusions drawn are incorrect. 
>
>**Any, some or all** of these aspects of the research process could be 
responsible for the inadvertent introduction of error in your study, making 
conclusions misleading. Hence, in the testing of a hypothesis there is always