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Is An Omniscient God a Contradiction?

Here's a challenge posed at Infidels.org, a big online resource for the skeptical community:  

"Can God know what it is like to learn? If God is omniscient (all-knowing), then it seems that he would have to know what it is like to learn. However, in order to know what it is like to learn, one must have learned something, which involves moving from a state of not-knowing to a state of knowing. This entails that at one time we were in a state of not-knowing a thing that was learned, then experienced what it is like to learn. But if God is essentially omniscient, he always is and has been omniscient, so was never in a state of not-knowing. Because being in a state of not-knowing is necessary to know what it is like to learn, we would seem to have to say that God does not know what it is like to learn. But this contradicts the original claim that he does know this based on his omniscience. Thus, it seems that God's omniscience generates a contradiction. Consequently an omniscient God cannot exist."

 Tough challenge.  How would you answer?  Here are my thoughts (in video form!): 

Comments

Omniscience is defined as “the state of having total knowledge, the quality of knowing everything.” For God to be sovereign over His creation of all things, whether visible or invisible, He has to be all-knowing. - Douglas Andrew

You are talking about God. You don't have to questions how omniscient He is. As it is said he is all-knowing and that means NO EXCEPTIONS.
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The single events or the event chains that have the most potential to affect the projects are the “critical events” or “critical chains of events.” By identifying critical events or critical chains of events, we can mitigate their negative effects. These critical chains of events can be identified by analyzing the correlations between the main project parameters, such as project duration or cost, and the event chains.
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Once events and event chains are defined, quantitative analysis using Monte Carlo simulation can be performed to quantify the cumulative effect of the events. Probabilities and effects of risks are used as input data for Monte Carlo simulation of the project schedule.[4] In most real life projects, it is necessary to supplement the information regarding the uncertainties expressed as an event, with distributions related to duration, start time, cost, and other parameters.
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About
Brett Kunkle is the Student Impact Director at Stand to Reason. He is a huge fan of his wife and 5 kids, surfing the Point in Newport Beach, and the Pittsburgh Steelers. Yes, in that order.