KIRKUS REVIEW

Galileo's Error:
Foundations for a New Science of Consciousness
by Philip Goff
https://www.kirkusreviews.com/book-reviews/philip-goff/galileos-error/



“Nothing is more certain than consciousness,” writes Goff (Philosophy 
Durham Univ.; Consciousness and Fundamental Reality, 2017), “and yet 
nothing is harder to incorporate into our scientific picture of the world.” 
Since the time of the Renaissance, science has worked on the premise that 
the thing doing the observing cannot observe itself reliably and that even 
the thought that “I exist as a conscious being” lies outside the realm of 
science. The author aims to restore the problem of consciousness as an 
object of scientific inquiry, not easy in a time when, as he notes, many 
philosophers consider consciousness to be a kind of elaborate illusion. 
Think of The Matrix, in which we’re all part of a machine that feeds on our 
psychic energy; however, we can come down on Galileo for having reduced the 
complexity of being to four attributes: size, shape, location, and 
movement. By removing the sensory—

*“Galileo did not believe that you could convey in mathematical language 
the yellow color or the sour taste of the lemon”*


—from consideration, science is indeed able to reduce being to physical and 
mathematical formulas. But that’s only part of the story. Goff introduces 
numerous theories to promote the scientific study of consciousness, such as 
integrated information theory, with “integrated information” being another 
way of saying consciousness. He considers other problems, such as that of 
free will, in light of consciousness, and he looks at ways in which 
subjective experience might be introduced into “the purely quantitative 
vocabulary” of modern neuroscience and physics, the latter of which, he 
adds, “tells us nothing about the intrinsic nature of matter." It is 
therefore paradoxical that we understand consciousness to be reality while 
not quite being able to explain why, a challenge for a future science that 
might free itself from dualistic constraints.



@philipthrift

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