Galileo Galilei is famously quoted as stating that...
‘Nature is written in numbers.’
Another version, almost as often quoted, states that...
‘The book of nature is written in the language of mathematics.’
The fuller, more accurate version is found in Galileo’s 'Il Saggiatore' (The Assayer), published in 1623. That reads:
‘Philosophy [nature] is written in this grand book, the universe, which stands continually open to our gaze. But the book cannot be understood unless one first learns to comprehend the language and read the letters in which it is composed. It is written in the language of mathematics, and its characters are triangles, circles, and other geometrical figures, without which it is humanly impossible to understand a single word of it; without these, one wanders about in a dark labyrinth.’
So, while the shorter versions capture something of its essence, the more complete quotation provides a richer understanding of Galileo's belief in the fundamental role of mathematics in comprehending the natural world.
But we should ask, while the book of nature may be written in numbers, is it only to be understood in numerical terms? I do not deny that there is much that numbers tell us. Yet, do numbers on their own always tell the whole story? Or, do they need to be translated into another language so that the book may be read more easily?
Data is nothing but a set of digits until interpreted, and that interpretation is in terms of conceptual language. The interpretation of data is a conceptualisation. Two sets of data might contain exactly the same numbers but relate to quite different phenomena. One set may be a record of the heights of a group of men; the other might be a record of the heights of a group of sunflowers. Using numbers alone, there is nothing that inherently differentiates between them—they are just numbers.
One common failing I found in students I used to teach was their assumption that by simply including pages of tabulated data, all would be obvious to the reader. Quite the opposite was the case. Data needs to be described and turned into something meaningful. And meaning resides inside concepts.
My group of men and my group of sunflowers may have reached the same height, but I need to know more. I need context. It may have taken the men three decades to reach this height and the sunflowers three months. With that simple bit of added information, the whole picture changes instantly.




