"PEPCIS:
You then went on to relate how the order of the Hurricane vortex is an excellent example of information. Now you contradict yourself to tell me that order is not information.
You’re confusing “order” and “information” again.
You related how the order of the Hurricane vortex is an excellent example of information. Now you contradict yourself to tell me that order is not information. Yep, you be confoosed.

Barbarian:
Hurricanes are highly ordered, and contain much information, but order is not information.
Fantasy land and contradiction go hand in hand.
PEPCIS said:
Secondly, you can sit there and spout out that “information is a measure of uncertainty” all day long, but you would continue to be wrong.
Barbarian:
Yes, I know that it’s quite true that you would continue to be wrong. Truth doesn’t change just because you sit in fantasy.
Barbarian:
And more to the point, using that definition allows us to efficiently transmit information.
No, more to the point, that definition does not change how information is transmitted. The definition could be tossed into the sea of forgetfullness, and never to be remembered, and Shannon’s computations would continue to work - irrespective of your fantasies.
Barbarian said:
Information is a measure of the uncertainty of an event.
tinyurl.com/bosjxg
Too bad you can’t even read your own stuff for comprehension. The book you cited states that “information is a measure of the uncertainty
ABOUT THE OCCURRENCE of an event.” Of course, you’d be wrong on both counts, because whether information is stated to be the uncertainty of an event or the uncertainty about the occurrence of an event is SPECIFIC TO THE TRANSMISSION OF INFORMATION.
It is SPECIFIC to that discipline, and that discipline alone. It is insufficient to account for the actual measurement of information, because it can only measure the medium that the information is carried on.
Barbarian said:
Information is a measure of uncertainty, or entropy, in a situation. The greater the uncertainty, the more the information. When a situation is completely predictable, no information is present. Most people associate information with certainty or knowledge; consequently, this definition from information theory can be confusing. As used by the information theorist, the concept does not refer to a message, facts, or meaning. It is a concept bound only to the quantification of stimuli or signals in a situa*tion.
shkaminski.com/Classes/Handouts/Communication%20Models.htm#TheShannonWeaverMathematicalModel1949
Once again you fail to comprehend what you read. Notice that Stephen Littlejohn states that information theorists use a definition that is UNIQUE to the trasmission of information (“As used by the information theorist…”). Notice also that the definition does not apply to “…a message, facts, or meaning.”
In other words, the definition that information theorists use to denote information does not even deal with REAL information, because the definition that information theorists use for information “…is a concept bound only to the quantification of stimuli or signals in a situation.” In other words, it’s the MEDIUM, not the message.
PEPCIS:
The ONLY way that that statement could be rendered as “true” is in the specific context of the transmission of data, when the data points are analyzed for data loss.
Barbarian said:
"…Information theory is therefore a theory about biology, which makes Shannon a biologist."
From post #535: "…please show me ANY article where Claude Shannon published in a Biological, peer reviewed magazine, and he specifically dealt with a Biology subject.
I’ll be waiting, but not holding my breath…"
It’s one thing to say that Shannon’s theory is applicable to Biological systems where information is transferred, but quite another to insist beyond intelligence and reason that Shannon was a biologist, when his discipline was electrical engineering.
Barbarian:
That, from an engineer, mind you.
That was from a knucklehead.