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# Comically Erroneous Correlations
Spurious Correlations Will Have You Laughing and Learning

By Mesel Isaac | Published 2014-06-26 | Social Good
Source: Trend Hunter, https://www.trendhunter.com/trends/spurious-correlations
References: [theawesomer](http://theawesomer.com/spurious-correlations/279324/) & [tylervigen](http://www.tylervigen.com/)

Spurious correlations by Tyler Vigen is a website that allows visitors to select from amongst a plethora of variables that although correlate, they ultimately have nothing to do with one another.

In our current information age we are constantly being bombarded with data, and as a result we can be easily fooled into forming causal links between these pieces of correlating data. Spurious correlations is a [hilarious site](https://www.trendhunter.com/trends/incorrect-quote-generator) with an important lesson to be learned; though we may be able to use technology to further collect and compare information, ultimately we must use our own human faculties when it comes to interpreting and understanding these [data points](https://www.trendhunter.com/trends/roadwayreport).

Examples of spurious correlations found on the site include: the marriage rate in Kentucky correlating with the number of fishing boat drownings, and the consumption of mozzarella cheese with the number of engineering doctorates awarded.

## Trend Insights (Trend Hunter)

- Score: 4.7/10
- Popularity: 51% | Activity: 81% | Freshness: 8%
- Audience gender: 50% men, 50% women
- Primary generations: Gen Z, Millennial
- Top markets: North America

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Social Good](https://www.trendhunter.com/socialgood) > [Education](https://www.trendhunter.com/education)

## Key Themes

### What Makes This Trend Stand Out

- **Data Misinterpretation:** Opportunity for disruptive innovation in developing tools and techniques to effectively interpret data and avoid forming erroneous correlations.
- **Causal Link Fallacy:** Opportunity for disruptive innovation in educating individuals on the importance of critical thinking and avoiding the assumption of causation based on correlating data.
- **Human Judgment in Data Analysis:** Opportunity for disruptive innovation in creating AI-powered tools that augment human judgment in interpreting and understanding data, reducing the likelihood of spurious correlations.

### Sectors Adopting This

- **Data Analytics:** Opportunity for disruptive innovation in developing advanced analysis techniques and algorithms to identify and filter out spurious correlations from large datasets.
- **Education and Training:** Opportunity for disruptive innovation in creating educational programs and resources that help individuals develop critical thinking skills and avoid falling prey to misleading correlations.
- **Artificial Intelligence:** Opportunity for disruptive innovation in building AI systems that assist human analysts in detecting and validating correlations, enabling more accurate data interpretation and decision-making.

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