More than 2” and you’re not really chopping, more like making small cauliflowers. Less than 1/2” and you’re running into the too-small floret fringe
This method is good for high-quality cauliflower dishes.
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Method B is faster but much messier as you get to the head-surface of the cauliflower. Your dicing grid will be too coarse and the tiny florets will fall apart into crumbles.
This is terrible. A method that’s only good for horrible, wasteful dishes like mashed cauliflower.
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How to generalize this example of dicing a cauliflower as an anti-network effect? Features:
1. It is lossy, information-wise
2. It is fast
3. It creates debris (more pieces than your grid cell count)
That last feature is a measure of the entropy introduced.
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If you take a simple object and make p cuts along one dimension, you get n=p+1 pieces
If you take a “network” object and make p cuts, you can get n> p+1 pieces.
Maybe n-p-1 is a good proxy of entropy?
In 2d with p, q cuts, you’ll get (p+1)*(q+1) pieces with no entropy.
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This is indirectly related to the main-cut/max-flow theorem. In a graph, the max flow between two points (source and sink, like root to floret of a cauliflower) equals the flow across the minimum cut. But what happens when you make a *random* cut?
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Here we have to shift from a topological notion of cut (point disconnection of a graph) to geometric, Ie a graph embedding in a plane. A single knife cut on a graph equipped with a geometry is multiple topological cuts using the information of just 2 cuts (2 points define a line)
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So to define an anti-network effect
a) define a network as a graph
b) embed it in a space of dimension r (2 or 3)
c) make p random geometric cuts
d) count number of pieces that result, n
e) anti-network-ness is ~= n-p^r
(I’m wild-guessing the formula in e based on grid case)
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Definitely a rhizome-like effect, so smooth-striated applies as an approximation. But networks I think are qualitatively different too due to the deep recursion. A piece of ginger is like a small tree with < 10 vertices. A cauliflower is like thousands of “leaf” floret nodes.
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smooth and striated spaces. rhizome. deterritorialization and reterritorialization. lines of flight twitter.com/vgr/status/140…
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You could apply Nakatomi space theory. How would Bruce Willis have dealt with the Die Hard situation if Nakatomi tower had been an ever-expanding warren of ever-smaller tunnels? A cauliflower space? Die Hard 2 was almost that (tunnels under airport)
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Replying to
Not to interrupt your train of thought, but when the enormity of what you did back in the kitchen sinks in, don't panic, cauliflower actually freezes quite well.
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