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I The Earth trembled as if burdened by a sudden mass too large to be held upon its shoulders. A great trumpeting sounded forth from the forest midst as balls of fire were slung away from the tree line to collide against the city walls, setting them ablaze and blinding the archers who defended them.
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Richard was furious. Alan had lied to him. The next time he saw Alan, he knew he’d kill him. Wait. Richard stopped and analyzed that last thought. It wasn’t his. IT was roaming more freely now, pulling against ITs weakening chains and trying to assert control. Richard’s momentary lapse into anger gave IT just what
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Richard’s mind was in turmoil. He wanted to find Cari to kill her for what she’d done to his wife. John wanted to find her to be reunited with his lover. IT wanted to find ITs master and share the fruits of ITs labor. That was the hardest part for Richard to reconcile. He knew
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Roberts looked at his friend in shock. Questions about the astral plane meant he was stumbling down the bramble-ridden path of the occult. Still, coming from Alan it must be important. “I know enough to not get involved, but since you’re the one asking, I guess we can head down that road a little bit.”
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What tone does your writing take? Are you the all-knowing sage of product advice, or the trendy counter-culture revolutionary introducing a new idea? What does the tone of your marketing copy say about your brand? Most of us publish marketing collateral without a second thought as to the tone with which our message is conveyed.
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“I know you know something, I just don’t know how I know that.” “Yeah, like that’s not confusing,” Richard replied. Alan had obviously figured things out. He’d been hinting at an interrogation for weeks now, and Richard had been doing everything possible to avoid it – which only made Alan more suspicious. Now he’d finally
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People groan whenever I bring up statistics in relation to marketing theory. In reality, though, most marketing decisions are made based on numbers. Without some level of smart statistical analysis, you can’t make an informed decision based on your data and all of those research dollars are wasted. Given, the case study I posted yesterday
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Understanding the Bayesian average is one thing. Understanding how to calculate it is something different. Understanding how to apply it is something in a whole other league. So here’s a quick and simple case study regarding product feedback and comparing aggregate product ratings using Bayesian statistics. Situation Your widget factory produces three different widgets and
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A traditional average is easy to understand. If you take a group of people, add their heights together and divide by the number of people in the group, you know the average height. A simple average is a relatively easy way to create a prediction for future behavior – in many cases, you can reasonably
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Most statistics are based on solid, static data. The average for a group of numbers is independent of what numbers are actually included in the group. Statistics give us a snapshot of our data so we can make high-level decisions based on it without knowing the details of each discrete measurement. This simplicity makes statistics