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The impact of astrology on predictive analytics

Both predictive analytics and astrology are valuable tools for making informed decisions about the future.

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Astrology and predictive analytics are rarely if ever, mentioned in the same sentence. However, you would be surprised to learn that astrology and predictive analysis actually share a lot in common.

Both systems focus on identifying trends and patterns, but from different angles – one from the celestial planes and the other from a purely data-driven approach.

Astrology is a practice that claims to be able to foresee future events by studying cycles and patterns of celestial phenomena.

For example, what lies in store for a Taurus and Capricorn relationship? Predictive analytics, on the other hand, is a field of data science that uses historical data to make predictions about future events.

What is the likelihood that someone will default on a loan? How many people are likely to click on a particular ad?

Three Ways Astrology Impact Predictive Analytics

Given the similarities in the way they approach forecasting, it is not surprising that astrology has had an impact on predictive analysis.

So, how exactly does predictive analytics borrow from the art of astrology? In this article, we will explore how predictive analytics can draw from a number of principles and methods that are part of traditional astrology.

Read on to learn more on the impact of astrology on predictive analytics:

While astrology is often thought of as being a practice that depends solely on the interpretation of a chart mapping out the various planetary positions at a specific moment in time, astrologists actually use statistical techniques to predict future trends.

In other words, even though their primary focus may be on the stars, astrology utilizes data to predict what future events may unfold.

Similarly, predictive analytics is also a process that starts with the collection of historical data and proceeds to construct a model that predicts future trends.

A key difference between astrology and predictive analysis, however, is that the former takes into account all kinds of celestial phenomena – including planetary positions, constellations, and a number of other celestial events – while predictive analytics is primarily interested in data-driven patterns that have been detected from historical records.

In both cases, the primary goal is to identify future trends that may occur within a particular time frame. While astrology uses celestial bodies as its primary source of reference, predictive analytics looks to historical data to identify patterns.

Astrology and Predictive Analysis Use a Similar Methodology to Draw Conclusions

The results that are generated through astrological analysis may appear a bit vague – after all, how can one derive information on an event that has not occurred yet?

But the truth is, astrology actually follows a very systematic process to make predictions about future trends. Just like predictive analytics, astrological research also makes extensive use of data mining and statistical techniques.

At its heart, predictive analysis is a three-step strategy:

  • Data mining – This is the process where historical data is collected and analyzed for identifying trends that can be used to develop a predictive model.
  • Model building – This is the process of developing a mathematical or statistical model based on the insights obtained during the first step.
  • Predictive analysis – Once a suitable predictive model has been developed, it can then be used to forecast future trends.

This three-step process is also followed by astrologers when they are making predictions about future events. The first step is to identify the relevant data that needs to be considered. This includes information on planet positions, constellations, etc.

The second step is the development of a prediction model that makes use of these variables to draw conclusions about future trends. Finally, once the model has been developed, it can be used for making predictions related to celestial phenomena.

Regardless of whether an astrologer or predictive analyst is using historical data to make forecasts, the data gathering and model building processes take place in a similar manner.

However, the final stage where predictions are made is where astrology and predictive analytics differ. To learn more about the types of data you need for data analytics, check out this article.

Both Astrology and Predictive Analysis Use Mathematical Formulae & Algorithms

While the use of mathematical formulae and algorithms may not be evident to the average person, they are an essential part of the process that takes place when astrologers and predictive analysts are making predictions.

In fact, without these mathematical tools, it would be very difficult to make reliable predictions about future trends.

In a way, it can be said that both astrology and predictive analytics use two primary tools:

  • Mathematics – This branch of science is extensively used for data analysis and pattern identification.
  • Algorithms – These are mathematical models that help in the prediction of future trends, etc.

Astrology makes extensive use of both these tools, and the use of mathematics and algorithms is actually what separates it from other divination practices such as tarot cards, palmistry, etc.

In simple terms, predictive analytics uses mathematics to make sense of historical data while astrology makes extensive use of mathematical formulae to make predictions about future events.


While there are some obvious differences between astrology and predictive analytics, there is no doubt that astrology has left an impact on predictive analytics as a field.

In particular, both use data mining and mathematical modeling to draw conclusions about future trends. Additionally, both fields make use of algorithms to help in the prediction process.

Both predictive analytics and astrology are valuable tools for making informed decisions about the future. They both represent forms of divination,  and while their methods may differ, they both offer valuable insights that can be used to improve our understanding of the world around us.

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