hmmm.... I wonder if we are part of an experiment here. I looked into some of the other information on Mr Lu's personal website, and found:
and
And from what I can understand of other publications from the same Mr Lu (which I admit I cannot understand much of!), I wonder if the misleading and unqualified responses are deliberately vague to test "information theory", which seems to relate to how information communication variability affects the "quality" of the understanding....!
How to use information criterion to evaluate a scientific proposition?
I=log[Post logical Probability/Prior logical Probability]
For example, Proposiotn A: Birds' colorful appearances came from adaption to nature.
Post logical Probability=1;
Prior logical Probability=1; after Darwin and Wallace published their book or paper.
So, information I=log(1/1)=0.
For example: Proposiotn B: Birds' colorful appearances reflect their needs for foods and enviroments.
Post logical Probability=0.3; I suppose 30% people believe or the listeners' confidence degree is 0.3;
Prior logical Probability=0.01; since the proposition is unexpected, or say, no one thinks so before.
So, information I=log(0.3/0.01)=log30=4.*bits.
Although A is more correct than B, yet, A provides less information.
Most people demand correctness, yet I am more interested in information.
That is why some people are angry with me.