Science, the systematic pursuit of knowledge, is at the center of the post-trust, post-truth meltdown. It appears that information as a product of knowledge, is now on trail. Every research study it would appear, is perforated with holes of distrust and met with counter evidence. Research bias and funding-based conflicts of interest have undermined public confidence in scientific research results, even though good research remains the best (and only) possible way forward as we look for ways to reduce our negative impact on the world around us. Subsequent public confusion and division is resulting in binary argument fueled by information that has been derived without the complexity required to actually make sense of it contextually. The damage is vast.
We conjectured that the key lies in the generic mathematical properties of networks. Highly complex self-sustaining systems – whether they are cells, organisms, ecosystems, cities, or corporations – require close integration of many constituent units that require an efficient supply of nutrients and the disposal of waste products. We suggested that this servicing – via, for instance, circulatory systems in organisms, or perhaps transport systems in cities – is accomplished through optimized, space-filling, fractal-like branching networks whose dynamical and geometric constraints are independent of specific evolved organismic design.