50 Cognitive Biases - These Influence How You View The Weather!

Over the last decade or so I've written about cognitive bias in how it shapes the way we view weather conditions and the weather forecast HERE, HERE, HERE, HERE and HERE.  Here is a comprehensive list of biases from Visual Capitalist. How do these influence your thinking?

Let's Clear Up A Few Things...

Many wonder why I write so much about the psychology of weather. If you read the comments on most of my posts over the last several weeks you'll see why: They believe what they want to believe. They use social media as a conduit to say whatever impulsive thought they want without recourse. Perception is the ultimate reality.

I use social media and my blog to show why weather events occur the way they do. I post stats and records about past weather to show some perspective in the hope that this will help viewers of our station and the general reader. Often times it just doesn't work...much to my dismay.

So let's clear up a few things. Rather than use science to explain the why we do what we do, I'm using straight forward bullet points. Let's wipe the slate clean and start out fresh and new as we approach the end of the year.

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1) It WILL snow at some point. It always does. And no, I don't like snow.

2) The warm weather is playing with our minds.  Our weather perceptions (cognitive biases if you will) are very strong.  We are not immune.  We are all human.  Recognition of these preconceived notions is the first step in an objective understanding the weather and the science that governs it.

2a)  We hate forecast uncertainty. Here's why LINK

3) Contrary to what you might believe, weather forecasts are more accurate than they were 15 years ago.  According to this study, "the accuracy of the 8-10 day forecast today are similar to a 5-7 day forecast 15 years ago. Hurricane accuracy is greatly improved since Hurricane Katrina LINK.

4) Our morning show here at FOX 8 is on for 6 hours. The weather forecast between 4 and 10am can change as the conditions change. Forecasts are not frozen in time during each newscast.  The weather doesn't stop for television.

5) The decision to break into a popular TV show or sporting event with a weather update is NOT an impulsive one. Stations have different philosophies on when to break into programming. I can't speak for the others. However, my station WJW-FOX 8 only breaks during a tornado warning or a significant winter weather event (widespread, blizzard-like snow). If you send a comment complaining about our stringent guidelines, you obviously care more about football than being warned when a tornado warning is issued.

6) Contrary to many weather maps on the air, the atmosphere is three dimensional and ever changing. Imagine the atmosphere (especially during sleet, freezing rain events) like layers of a wedding cake.  Each layer of icing represents the different layers of air at different temperatures with different types of precipitation.

Note: The wedding cake analogy is mine and mine alone. I invented it.

7) Moon or sun halos are not uncommon. They are beautiful sights caused by the bending, splitting and reflecting of sunlight through ice crystal clouds.  We have hundreds of photos.

8) I'm not a fan of phone weather apps that promise super-local weather forecasts for your backyard. They are like unicorns.  They don't exist.  Most are computer generated data approximated based on your location via GPS.  I trust a human generated forecast (via NWS or your local tv station) every day of the week.

9) Jet contrails are not chem-trails.  They, like, unicorns don't exist.  I don't like conspiracy theories.

10) I have no control of weather, news or school closing promos that run 15 times per hour. The promotions department is on the first floor.

11) These above normal December temperatures were mentioned in a blog post on my weather blog in early September and again in our FOX 8 winter weather outlook. Yes, pre-Christmas warmth has happened before.  Remember 1982?

12) Simply because the weather has been warm or cold, wet or dry doesn't confirm or deny climate change in any form. I'm an operational meteorologist who happens to be on television.  Keep your subjectivity or bias to yourself.  So please don't send me anecdotal evidence confirming your preconceived notions.  See number 2 above for the reasons why.

13) We forget that last December was above normal with no snow for only the 3rd time in 140 years.  Christmas week in 2014 was the 8th warmest on record in northern Ohio.

14) This warmth is driven by BOTH El Nino and a strong Polar Vortex not just El Nino. Remember the Polar Vortex from last winter?  Yes, it's real (LINK)

15) Storm systems like what we are seeing currently which develop over Texas and move northeast--termed "Panhandle Hooks"--are more common in El Ninos.  Wet snows are more common from Texas through the mid-Atlantic in these years.

16) Contrary to what we believe, you cannot use one or two days or a weeks worth of weather as a predictor or the season ahead. In other words, a warm or cold December is not an indicator of the spring or summer ahead. The drivers of winter aren't necessarily the drivers of spring and summer.  It's not an apples to apples comparison.  (Remember December 2014 was warmer than normal.  Then the bottom fell out: January through February was the 6th coldest on record, coldest since 1978)

17) The fact that I have said over the last week that colder air in January will replace the relative warmth in December doesn't mean the entire winter will be colder than average. (see FOX 8 outlook issued in October)

18) Lake Erie water temperature is 45 degrees. It's been this warm before on the 22nd of December: 2001 and 1998 for starters.  The water temperature is taken at a depth of 30 feet. No one seems to have an answer as to why.

19) There is a TON of science behind seasonal outlooks. The Farmers' Almanac is not science (although I enjoy reading it).  Weather consulting companies issue seasonal outlooks tailored for their clients. This sector has grown significantly in recent years.

20) Many readers will ignore everything I typed here and replace it with their own conclusions regardless of their validity.

I reserve the right to add to this list.

I hope this helps.

Cognitive Biases: How Do These Affect Your Decision Making?

Click on the image to maximize it.

Why Are We Skeptical About Weather Forecasts? How To Fix It

(2nd Edition)

Weather is just as much psychology as it is science. Call it "Behavioral Meteorology".

Most people find it very difficult to grasp the fact that the weather is one big approximation. Not surprisingly, we humans hate approximations and probability. Why? For our minds to grasp probabilities and randomness, we need to be able to handle multiple possible outcomes at once.  The problem is that we are all wired to simplify uncertainty. We want life to be basic and easy to understand. Weather is no different. We all want a forecast that fits a nice and neat one-size-fits-all package.  Unfortunately, weather has many, many outcomes over a large area over a significant period of time. Change the initial weather conditions (humidity, wind flow, frontal position, upper level energy, etc.) and you create more uncertainty. Factor in length of time and the probability becomes significantly higher. We envision an area of rain approaching as a uniform “blob” which moves over our house at say 5:20pm and leaves at 7:15pm. Unfortunately, the actual rain area (or lake effect snow stream) rarely evolves into a tidy, uniform entity.  Instead, it has jagged edges, dry pockets and other random protrusions that impact local forecasts in a few minutes time.  See the problem?

I'd like to say that I make a forecast, short or long term, with a cold, rational, scientific eye but I don't.  I take into account how the general public will react to EVERY word knowing that most people selectively perceive the weather to fit their "sphere of reality". The more we selectively perceive the weather to fit our negative connotation (cognitive bias), the more hyper critical our reaction and the more rigid our bias becomes. It’s a vicious circle that feeds on itself. Throw in the thousands of weather apps out there that claim to provide the forecast for YOUR location along with the Old Farmers' Almanac and the laundry list of cognitive biases (some mentioned above) and you have the confluence of many psychological elements that are difficult to overcome with rational discussion. 

How do we navigate these rough waters of perception and weather bias? 

It all goes back to basic human nature: We all simplify complex, probabilistic themes. We all love a good story with pictures. It’s hardwired in our DNA. Bullet points and/or data without strong associative elements only trigger the Broca's Area and Wernicke's Area of the brain. This area is involved in language processing ONLY.  Brain scans show that if you incorporate emotional elements into your story telling, it will active multiple sensory parts of the brain like the Motor Cortex (body movements) and the Insular Cortex (emotional region) all at once producing chemicals that make us feel good in response specifically Cortisol, Dopamine and Oxytocin. Each one responsible for our involuntary reactions to a good story. We instinctively turn the story into our own personal experience! Given that personal stories make up more than 65% of our conversations, this makes perfect sense.  Here's a great quote that summarizes this up very well:

"THE POWER OF ANECDOTE IS SO GREAT THAT IT HAS A MOMENTUM IN AND OF ITSELF."..."NO MATTER HOW BORING THE FACTS ARE," WITH A WELL-TOLD STORY, "YOU FEEL INHERENTLY AS IF YOU ARE ON A TRAIN THAT HAS A DESTINATION."

A weather forecast is no different. Your brain wants a good story not boring data. This is why we use colorful, pictorial driven graphics like this one. 

Often times if the weather presentation becomes too data intensive, our brain doesn't produce the chemical that make us feel good. Our biases can surface quickly which can alter our perceptions fast. All of this happens in seconds and you've lost the viewer even if the on-air meteorologist has the best of intentions. !

Spaghetti Plot showing forecast uncertainty

Bottom line is a narrative or story is desired versus something that is solely data/science driven. 

Each day, I analyze the science and remember the psychology. I try to tell a compelling, relatable weather story with a dash or two of data, some description of probability and a bit of historical perspective. Human nature is a powerful beast. Each person is different. Sometimes it works for the viewer. Sometimes it doesn’t. 

How do you react when you hear a weather forecast? Do you dismiss the science? Do you like the story? How do you handle probability? Do you like hearing an explanation to why the weather does what it does? Do you overly simplify the weather?

Let me know what you think. 

Why Do We Dismiss The Science Of Weather So Easily?

Weather is just as much psychology as it is science. I've written about this several times HERE, HERE, and HERE. 

 I call it "Behavioral Meteorology".

Most people find it very difficult to grasp the fact that the weather is one big approximation.  Weather should be exact right?  Well, we humans hate probability.  Why? For our minds to grasp probabilities and randomness, we need to be able to handle multiple possible outcomes at once. We all want a forecast that fits a nice and neat one-size-fits-all package.  Weather has many, many outcomes over a large area over a significant period of time. Change the initial weather conditions (humidity, wind flow, frontal position, upper level energy, etc) and you create more uncertainty. Factor in time and the probability becomes significantly higher. We want to visualize a line of showers that moves in at a specific time, stays for a select amount of time and then moves out without fanfare. Unfortunately, rain events especially the hit and miss storms that we’ve had across the area recently rarely behave in this manner.

I'd like to say that I make a forecast whether short or long term with a cold, rational, scientific eye but I don't. I take into account how the general public will react to EVERY word knowing that most selectively perceive the weather to fit their "sphere of reality". I learned that quickly years ago. For all of the simulations, super-computers, highly detailed satellite data, it doesn't matter how exact your forecast is or what scientific reasoning you used in coming to your conclusion, people will ignore the facts and the data that disagree with their perceptions and will "rationalize" what they want and react accordingly. More often than not, the reactions are very critical. Worse still, its accumulative. The more we selectively perceive the weather to fit our negative connotation, the more hyper critical our reaction and the more rigid our bias becomes. Its a vicious circle that feeds on itself.  I’ve notice this change over the last 10-15 years. This is called the Disconfirmation Bias. Its the tendency to accept supportive evidence of a belief uncritically, but to discount evidence that challenges that belief.  

Recently, many have already postulated that this string of 80+ degree warmth is proof that this summer will be warmer than we thought.  Its a classic example of the RECENCY EFFECT: This is the tendency to think that more recent trends and patterns we observe (which are more recent in our minds like our recent mild winters) are a very good representation of the entire period in question. We believe our memories and observations--recent warmth and humidity--are excellent predictors of what the near future will bring.  Throw in the thousands of weather apps out there that claim to provide the forecast for YOUR location along with the laundry list of cognitive biases (some mentioned above) and you have the confluence of many psychological elements that are difficult to overcome with rational discussion.

It all goes back to basic human nature. A good weather narrative or story is desired versus something data/science driven. Nebulous weather data and science makes most of us feel uncomfortable even if the on-air meteorologist has the best of intentions.  Sophisticated computer models of the weather have made some very good “probabilistic” outcomes for weather events and situations.. Yet a level of uncertainty still remains and we humans don’t like it! We try to rationalize the irrational. Our biases quickly dismiss the probabilistic science as irrelevant or at the very worst, an excuse.

Each day, I analyze the science and remember the psychology. How you react when you hear a weather forecast? Do you dismiss the science? How do you handle probability? Do you like hearing an explanation to why the weather does what it does? Do you overly simplify the weather?

Deep thoughts this morning...Hmmmmm.

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Behaviorial Meteorology: Psychology Behind Our Cold Weather Perceptions

Last year I wrote an article on how our perceptions of the weather are shaped by events that have
occurred most recently. This winter's cold weather is a prime example: The last two winters have
been milder in comparison so we are preconditioned to believe that this winter would not only be
worse (which it is) but one of the worse in years and comparable to the harsh winter of the 1970s and
early 1980s. Both are false.
 
Why do we perceive this winter to be one of the worst ever? Its a classic example of the RECENCY
EFFECT: This is the tendency to think that more recent trends and patterns we observe (which are
more recent in our minds like our recent mild winters) are a very good representation of the
entire period in question. Since the winters of yesteryear are distant memories, we tend to weight
them less than our memories of recent winters. We believe our memories and observations--
recent mild winters--are excellent predictors of what the near future will bring.

How often has someone said to you this past fall "We are due for a bad winter".  Or how about
this: "This winter has to be one of the coldest ever" or "This colder trend recently surely means
that the rest of the spring and summer will be cold?  That is the RECENCY EFFECT at work.
Those frequently uttered sentences above are totally driven by our perceptions.  Our perceptions
make us feel good because they fit our hard-wired biases.  Most of the time, we grossly
underestimate the significance of our biases. The truth is that this winter is ranked...45th coldest! 
The winter pattern rarely has a connection to spring or summer. Hard to believe but its true.

This type of information might run counter to our perceived notions ultimately becoming a source of
frustration and internal conflict.  We have a built in motivation to reduce conflicting ideas by altering the existing conditions in our mind to create consistency. Pick any topic: weather, economics, politics, investing...anything. We all do it. 

In the case of understanding our winter weather or any weather during any season), we do this by 1)  Believing weather information which best fits our preconceived notions 2)  We alter its importance in our mind and/or dismiss the hard, cold facts and data all together or 3) We just plain criticize it. Sometimes, it’s a blend of all three. This inclination to favor information that reinforces our comfort level is called a "Confirmation Bias".  Incidentally, this happens all of the time inside Facebook comment threads.

Watch what happens when the first cold stretch develops in spring. Everyone will be shouting that
"they knew this would happen because of our cold winter." That's classic CONFIRMATION BIAS.
The problem is that as we create "consistency" through favoring our own view of the information,
we create a new false interpretation of the weather which we believe to be true. Rather than
looking objectively at the reasons for the change scientifically (science scares people), most
people tend to use an overly simplified and often inaccurate scientific explanation of the weather
to ultimately confirm their predispositions.

The response "We are due for a bad winter" has virtually no scientific merit.  For events that require object analysis, our own human nature deceives us.  In this case, our biases "cloud"--no pun intended--our judgment of the weather.  By recognizing our own weather biases, we can actively attempt to dampen the effects. As much as it might hurt, trust the data.