#statisticalthinking — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #statisticalthinking, aggregated by home.social.
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Scratch Card Odds 9/10 With five tickets, the chance of at least one jackpot win is about 1 in 200,000. That’s not “unlikely”—that’s extreme. 📉 #ExtremeOdds #RiskAwareness #StatisticalThinking
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The Legacy of Daniel Kahneman https://ejpe.org/journal/article/view/1075/753
by Gerd Gigerenzer
#BoundedRationality
#economics #Psychology #heuristics #Biases #statisticalThinking -
The Legacy of Daniel Kahneman https://ejpe.org/journal/article/view/1075/753
by Gerd Gigerenzer
#BoundedRationality
#economics #Psychology #heuristics #Biases #statisticalThinking -
The Legacy of Daniel Kahneman https://ejpe.org/journal/article/view/1075/753
by Gerd Gigerenzer
#BoundedRationality
#economics #Psychology #heuristics #Biases #statisticalThinking -
The Legacy of Daniel Kahneman https://ejpe.org/journal/article/view/1075/753
by Gerd Gigerenzer
#BoundedRationality
#economics #Psychology #heuristics #Biases #statisticalThinking -
The Legacy of Daniel Kahneman https://ejpe.org/journal/article/view/1075/753
by Gerd Gigerenzer
#BoundedRationality
#economics #Psychology #heuristics #Biases #statisticalThinking -
Seven Simple Questions for Policymakers and Decision Makers that apply to all social statistics:
1. How big? How much? How many?
2. Compared to what?
3. Why not a rate?
4. Per what? The diabolical denominator.
5. How were things defined, counted or measured?
6. What was taken into account (what was controlled for)? Is this a crude association?
7. What else should have been taken into account (controlled for)? -
Seven Simple Questions for Policymakers and Decision Makers that apply to all social statistics:
1. How big? How much? How many?
2. Compared to what?
3. Why not a rate?
4. Per what? The diabolical denominator.
5. How were things defined, counted or measured?
6. What was taken into account (what was controlled for)? Is this a crude association?
7. What else should have been taken into account (controlled for)? -
Seven Simple Questions for Policymakers and Decision Makers that apply to all social statistics:
1. How big? How much? How many?
2. Compared to what?
3. Why not a rate?
4. Per what? The diabolical denominator.
5. How were things defined, counted or measured?
6. What was taken into account (what was controlled for)? Is this a crude association?
7. What else should have been taken into account (controlled for)? -
Seven Simple Questions for Policymakers and Decision Makers that apply to all social statistics:
1. How big? How much? How many?
2. Compared to what?
3. Why not a rate?
4. Per what? The diabolical denominator.
5. How were things defined, counted or measured?
6. What was taken into account (what was controlled for)? Is this a crude association?
7. What else should have been taken into account (controlled for)? -
Seven Simple Questions for Policymakers and Decision Makers that apply to all social statistics:
1. How big? How much? How many?
2. Compared to what?
3. Why not a rate?
4. Per what? The diabolical denominator.
5. How were things defined, counted or measured?
6. What was taken into account (what was controlled for)? Is this a crude association?
7. What else should have been taken into account (controlled for)? -
The Seven Unnatural Acts of Statistical Thinking acc. to Richard D. De Veaux and Paul F. Velleman
1. Think Critically.
2. Be Skeptical. Question authority and the current theory.
3. Think about variation rather than about center.
4. Focus on what we don’t know.
5. Perfect the Process. Our best conclusion is often a refined question.
6. Think about conditional probabilities and rare events.
7. Embrace vague concepts (Center, Outlier, Linear...). -
The Seven Unnatural Acts of Statistical Thinking acc. to Richard D. De Veaux and Paul F. Velleman
1. Think Critically.
2. Be Skeptical. Question authority and the current theory.
3. Think about variation rather than about center.
4. Focus on what we don’t know.
5. Perfect the Process. Our best conclusion is often a refined question.
6. Think about conditional probabilities and rare events.
7. Embrace vague concepts (Center, Outlier, Linear...). -
The Seven Unnatural Acts of Statistical Thinking acc. to Richard D. De Veaux and Paul F. Velleman
1. Think Critically.
2. Be Skeptical. Question authority and the current theory.
3. Think about variation rather than about center.
4. Focus on what we don’t know.
5. Perfect the Process. Our best conclusion is often a refined question.
6. Think about conditional probabilities and rare events.
7. Embrace vague concepts (Center, Outlier, Linear...). -
The Seven Unnatural Acts of Statistical Thinking acc. to Richard D. De Veaux and Paul F. Velleman
1. Think Critically.
2. Be Skeptical. Question authority and the current theory.
3. Think about variation rather than about center.
4. Focus on what we don’t know.
5. Perfect the Process. Our best conclusion is often a refined question.
6. Think about conditional probabilities and rare events.
7. Embrace vague concepts (Center, Outlier, Linear...). -
The Seven Unnatural Acts of Statistical Thinking acc. to Richard D. De Veaux and Paul F. Velleman
1. Think Critically.
2. Be Skeptical. Question authority and the current theory.
3. Think about variation rather than about center.
4. Focus on what we don’t know.
5. Perfect the Process. Our best conclusion is often a refined question.
6. Think about conditional probabilities and rare events.
7. Embrace vague concepts (Center, Outlier, Linear...).