The Art of Anticipation: How to Hone Your Prediction Skills and Navigate the Future
Delve into the art of predicting life's uncertainties and become your own personal oracle. Discover the secrets behind honing your intuition, analyzing patterns, and making well-informed decisions that will shape your future. Unleash your inner soothsayer and take control of your destiny with this must-read guide!
Robert Carruthers
5/7/20237 min read


Greetings, future-savvy adventurers! Welcome back to RobertChat.com, where we explore the captivating world of personal growth. Today, we're venturing into the mysterious realm of prediction, discovering how we can harness the power of foresight to navigate life's twists and turns with grace and confidence.
Are you ready to unlock your inner oracle and develop the skills to anticipate the opportunities and challenges that lie ahead? If so, you've come to the right place! This post is your ticket to an awe-inspiring journey through the art and science of predicting the future.
Together, let's explore the secrets of intuition, pattern recognition, and decision-making, and learn how to stay one step ahead in a rapidly changing world. It's time to embrace the power of prediction and chart a course toward a brighter, more informed future.
Many of life’s questions warrant the answer “it depends”. Circumstances are so often important.
Our world is complex, dynamic and inherently unpredictable. Yet every day we make and act on predictions. Most of our actions are habitual and do not involve thinking. If these actions are or were thought about, they are based on theory:
Whether or not they are aware of it, people ground their choices in theory – a belief that a certain action will lead to a satisfactory outcome.
Michael J. Mauboussin, Think Twice: Harnessing the Power of Counterintuition
Predicting is inherent to our existence, even though there are multiple areas in which we know we can’t predict:
There exist a vast number of physical situations, from the weather to a beating heart, where the slightest uncertainty in our knowledge of the state of the system at one moment results in total loss of information about its exact state after a very short period of time. Almost identical presents lead to very different futures. Such systems are called ‘chaotic’. Their prevalence is responsible for many of the complexities of life
John D. Barrow, New Theories of Everything: The Quest for Ultimate Explanation (Gifford Lectures)
When we think, analyse or model the future we are creating a simplified model of reality. Naturally on occasion factors we have not included will prove significant:
In complex systems (among which I count our lives) we should expect that minor factors we can usually ignore will by chance sometimes cause major incidents.
Leonard Mlodinow, The Drunkard’s Walk: How Randomness Rules Our Lives
In complex systems (among which I count our lives) we should expect that minor factors we can usually ignore will by chance sometimes cause major incidents.
Leonard Mlodinow, The Drunkard’s Walk: How Randomness Rules Our Lives
The fact that aspects of our reality are nested complex dynamic systems adds to the difficulty. We ourselves are adaptive and this impacts our predictability:
Every human being has the freedom to change at any instant. Therefore, we can predict his future only within the large framework of a statistical survey referring to a whole group; the individual personality, however, remains essentially unpredictable.
Viktor E Frankl, Man’s Search For Meaning: The classic tribute to hope from the Holocaust
Despite the chaotic and often random nature of reality, we make predictions. We have evolved to do so and this has resulted in various cognitive biases:
Our minds have a deep-seated desire to make out patterns and our prediction process is very rapid (the researchers call it “automatic and obligatory”). This pattern recognition ability evolved through the millennia and was profoundly useful for most of human existence. “In a natural environment, almost all patterns are predictive,” says Huettel. “For example, when you hear a crash behind you, it’s not something artificial; it means that a branch is falling, and you need to get out of the way. So, we evolved to look for those patterns. But these causal relationships don’t necessarily hold in the technological world that can produce irregularities, and in which we look for patterns where none exist.
Michael J. Mauboussin, Think Twice: Harnessing the Power of Counterintuition
Our propensity to see patterns and draw conclusions is one of our great strengths. As in so many things, our greatest strengths also cause our weaknesses:
People frequently attempt to extrapolate successful choices from prior experiences to new situations, with predictably poor results. Flawed research that draws common attributes from organizations that have done well and offers those attributes as a general prescription for winning is also popular. Neither mistake properly considers decisions in context.
Michael J. Mauboussin, Think Twice: Harnessing the Power of Counterintuition
Frequently, people try to cram the lessons or experiences from one situation into a different situation. But that strategy often crashes because the decisions that work in one context often fail miserably in another.
Michael J. Mauboussin, Think Twice: Harnessing the Power of Counterintuition
Many of life’s questions warrant the answer “it depends”. Circumstances are so often important. But we often simplify them out of existence. We are driven to see cause and effect, and this can cause problems:
When a mind seeking links between cause and effect meets a system that conceals them, accidents will happen.
Michael J. Mauboussin, Think Twice: Harnessing the Power of Counterintuition
Part of our drive for finding cause and effect is our desire to believe in our agency, to believe we have caused our circumstances and are responsible for our success:
The illusion that we have more control over our lives than we possess, that we understand more about the world and the future than we do or can, is pervasive.
John Kay, Obliquity: Why our goals are best achieved indirectly
Periods, such as phase transitions, can also undermine our ability to predict. They represent a change from the past, from that which has shaped our view of reality:
Phase transitions, in which small perturbations to a system can lead to large changes. Since cause and effect are difficult to identify when phase transitions occur, it’s almost impossible to predict the outcome.
Michael J. Mauboussin, Think Twice: Harnessing the Power of Counterintuition
The presence of phase transitions invites a few common decision-making making mistakes. The first is the problem of induction, or how you should logically go from specific observations to general conclusions. Although philosophers, from Sextus Empiricus to David Hume, have for centuries warned against extrapolating from what we see, refraining from doing so is very difficult. To state the obvious, induction fails sometimes spectacularly so in systems with phase transitions… tips on how to cope with systems that have phase transitions: 1. Study the distribution of outcomes for the system you are dealing with…if we understand what the broader distribution looks like, the outcomes however extreme are correctly labeled as gray swans, not black swans. He calls them “modelable extreme events.” In fact, scientists have done a lot of work classifying the distributions of various systems, including the stock market, terrorist acts, and power-grid failures.25 So if you have the background and tools to understand these systems, you can get a general view of how the system behaves, even if you have no reliable means of predicting any specific event.
Michael J. Mauboussin, Think Twice: Harnessing the Power of Counterintuition
While phase transitions undermine our ability to predict, they also offer the greatest opportunity to profit from doing so. Outsized profits are likely to be available when you can see the world is going to be different, and others do not. There are ways of minimising false phase transition predictions. These involve picking up on a broad range of measures:
The risk of falsely predicting a cyclical turn can be minimized only by collecting diverse indicators in composite indexes that add up to much more than the sum of their parts.
Lakshman Achuthan & Anirvan Banerji, Beating the Business Cycle: How to Predict and Profit From Turning Points in the Economy
When examining data series to spot patterns, trends and potential turning points there are some factors to be aware of:
Is it extremely “noisy,” jumping up and down every month? If so, it might be difficult to recognize if its path has really changed direction. Are the data promptly available? If government data are released six months after the fact, they cannot help in forecasting, even if there is a strong relationship with turns in the economy. Are the data revised a lot?
Lakshman Achuthan & Anirvan Banerji, Beating the Business Cycle: How to Predict and Profit From Turning Points in the Economy
Does the indicator predict, or lead, peaks and troughs in the economy? If the lead is too short, an indicator’s usefulness in forecasting is limited… retail sales can tell you that the economy has turned only after the fact.
Lakshman Achuthan & Anirvan Banerji, Beating the Business Cycle: How to Predict and Profit From Turning Points in the Economy
It is also always worthwhile to ensure the validity and currency of your underlying theories:
Sound theory helps to predict how certain decisions lead to outcomes across a range of circumstances. Paul Carlile and Clayton Christensen, both professors of management, describe the process of theory building in three stages.’ • The first stage is observation, which includes carefully measuring a phenomenon and documenting the results. The goal is to set common standards so that subsequent researchers can agree on the subject and the terms to describe it. • The second stage is classification, where researchers simplify and organize the world into categories to clarify differences among phenomena. Early in theory development, these categories are based predominantly on attributes. • The final stage is definition, or describing the relationship between the categories and the outcomes. Often, these relationships start as simple correlations. Theories improve when researchers test predictions against real-world data, identify anomalies, and subsequently reshape the theory…. In the classification stage, researchers evolve the categories to reflect circumstances, not just attributes… In the definition stage, the theory advances beyond simple correlations and sharpens to define causes why it works.
Michael J. Mauboussin, Think Twice: Harnessing the Power of Counterintuition
We successfully predict a whole range of phenomena. Others we cannot predict. To be successful, you do not need to know reality. You just need to know it better than those you are competing against. Build a process to ensure you continually improve. Learn the lessons from failure, and examine success critically.
As we reach the end of our thrilling journey through the world of prediction, let's remember that the power to shape our future lies within our grasp. By honing our intuition, analyzing patterns, and making informed decisions, we can take control of our destiny and carve a path toward success and fulfillment.
So, my fellow future-savvy adventurers, go forth and put these insights into practice. Embrace the uncertainty of life with confidence and curiosity, and let your newfound prediction skills guide you through the unknown. Together, let's create a future that's ripe with possibility and brimming with potential.
Until our next adventure, keep predicting, keep growing, and always stay one step ahead. Wishing you a future filled with wisdom, foresight, and extraordinary achievements. Happy predicting!