Paying the Price for Not Trusting

This will surprise no one, but a recent Gallup Poll showed professional trust in the U.S. at its lowest level since they started tracking it in 1999. In their index of 11 core professions, including nursers, bankers, business execs, Members of Congress and 7 others, the average honesty and ethics rates have dropped to the point where just 30% of those professions having high or very high ratings.

Those professionals who received the higher trust marks are nurses, teachers, military officers, pharmacists and doctors. Those in the medical categories have slipped since the pandemic but are still well in positive territory.

The least trusted professions? Car salesmen, advertising practitioners, TV reporters, Members of Congress and lobbyists. The percentage of respondents rating them as highly or very highly trustworthy and ethical was in the single digits for all but one of them (TV reporters). 

Again, not all that surprising. But what does this say about our society? Societal trust is the glue holds communities and nations together. If you’re a student of history, you’ll know that – without exception – cultures and societies with high levels of trust prosper over the long term and those that lack trust inexorably slip backwards.  Four years ago I wrote about this and used North and South Italy as examples. Southern Italy – partly because of geography that restricted widespread trade – historically had low levels of trust. You trusted your family, you may trust your paesani (townspeople) and that was about it. Northern Italy, with a more open geography and proximity to the rest of Europe, developed a widespread trading network that allowed the economies of renaissance City States like Venice, Florence and Milan to prosper, along with arts and culture. The difference between North and South Italy is startling, even to this day.

That is the price paid for distrust. Essentially, you can choose one of two paths: to trust or to fear. If you choose the later – as at least half of America has apparently done – understand that you are essentially choosing the strategy of the schoolyard bully, competing through fear and intimidation. Let’s take a closer look at that path with as objective a viewpoint as possible.

Bullying is a viable evolutionary survival strategy and it is common in nature. There are undeniably advantages to bullying. It gives you greater access to resources, such as food, shelter and sexual access. But it is a primal strategy and that defines its limits. It is dependent on the bully’s strength alone. It typically causes those being bullied to create new alliances, pushing them into a position where they must trust each other. And that creates a long-term advantage for the alliance, where they eventually gain strength from trusting each other while the bully loses strength by isolating itself. The Bully’s cycle always plays out the same way; gaining temporary advantage but eventually losing it in the long term as trust-based networks emerge. And – once lost – that advantage is very hard to regain.

It’s not just history where the advantage of trust has been proven. Game Theory looks at exactly these types of interactions. In one well-known scenario, the most successful strategy was called “Tit for Tat.” It starts with a default position of mutual trust and only moves to the offensive if one of the parties tries to defect from cooperating. Then, it goes into a cycle of zero sum back and forth retaliations. The advantage of this strategy is that it self-corrects towards trust. Only if that trust is broken does it retaliate. The benefits accrue during cooperation cycles and the strategy continually tries to move back to cooperation. Cooperation always beats confrontation.

As I said a few columns ago, it is a lack of trust in institutions that makes us think that everything is fundamentally broken. This distrust extends to everything but is particularly prevalent with trust in media and government. The Gallup Poll showed that TV reporters and Members of Congress are amongst the least trusted professions of those surveyed.

The Gallup Poll is backed up by the annual Edelman Trust Barometer study, which looks at institutional trust in government, business, media and NGOs (non-governmental not-for-profit organizations)  around the world, using 28 countries as its index. The decline in media and especially governmental trust over the past decade has been stunning, prompting CEO Richard Edelman to note, Starting in 2005, we noticed the decline of belief in establishment leaders. Prime ministers, presidents, CEOs, and mainstream media lost their dominant status as opinion formers. Peer trust emerged, as friends and family depended on one another for advice and used social media as the connection point.”

This last point about peer trust is troubling. It essentially means a return to tribalism, this time mediated through social media. It really doesn’t sound all that different from the way society has operated in low trust and economically challenged regions such as Southern Italy for centuries now.

Trump, The Media and the Problem of “Pretty Good.”

A number of years back, I was in China for a conference and during a dinner thrown by the hosts for their international presenters, I was lucky enough to find myself sitting next to James Fallows, who was in China on assignment for the Atlantic. His dispatches back eventually became the book Postcards from Tomorrow Square: Reports from China.

It was my first trip to China and I was stunned by the apparent contradiction of the most entrepreneurial society I had ever seen under the rule of a Communist Regime. I asked James how China’s then leader, Hu Jintao, managed to maintain that seemingly impossible balance without widespread insurrection. He said something I’ll always remember: “As long as the Chinese people believe that their lives today are better than they were yesterday, and that they will be even better tomorrow, they will continue to follow their leader.”

That same very simple equation is what populists, some of whom may eventually become dictators, depend on – promising to make life better for their base. If you were Hitler, or Mussolini, or Francisco Franco, that was easy to do. Each of those countries and their economies were fundamentally broken in the 1920’s or 30’s. You didn’t have to be a genius to make things better for the average German, Italian or Spaniard. Just getting trains to run on time was a pretty big step in the right direction.

But that’s not the U.S.A. Things there are (or were) pretty good. Perfect? Not by a long shot. But pretty good.

You disagree? The plain facts are that at no time in history have people ate more, had more, did more or lived longer than right now. And that is doubly true for the U.S., who has about 5% of the world’s population but consumes about 20 to 25% of the world’s resources. Yes, there’s a lot that can be fixed (for instance, there are huge disparities in wealth and consumption), but things are pretty good. Especially in the U.S. of A.

So where does that leave a populist like Trump? Populists say that they – and they alone – can make life better tomorrow for their base. But when things are pretty good already, that’s a hard promise to keep. The U.S. – and the rest of the world – is a complex place that exists thanks to complex systems. The economy, financial markets, diplomacy, healthcare, immigration, education – all of these things are complex. And because of this complexity, the problems that do exist are what are called “wicked” problems – problems that have no quick or simple solution. In fact, they may have no solution at all.

Someone like Trump has no clue about complexity. He will spout inanely ignorant “fixes” and back them up with talking points that have no basis in reality.

Take Trump’s insanely stupid “tariff” solution he imposed just over a week ago. It wasn’t even 24 hours old when he started pulling it back because the U. S. economy started running off the rails. As I said a month ago, imposing a 25% blanket tariff is like doing open heart surgery with a hand grenade

And this is a big problem for Trump. He has no idea how to keep his promise to make life better for people in a complex environment.  It’s not just tariffs. The flurry of executive orders and the chainsaw massacre that is DOGE are similarly stupid solutions to complex issues. They are doomed to fail, which means the U.S. will inevitably slip backwards, rather than leap forward.

Trump will blunder for mistake to mistake, blowing up all the systems that made things “pretty good” in America. He is bulldozing through the complex international relationships that have enabled the U.S. to perch on top of the world order for 100 years. He is blowing up trade agreements and mutual defense pacts. He is pissing off every other country in the world with the exception of one: Russia.

As the Canadian prime minister Justin Trudeau just said – “Make that Make Sense.”

It would be easy to blame Donald Trump. But I won’t. He’s just being Trump, just like a shark is just being a shark. It would also be easy to blame the Republican sycophants that are letting him do this. But again – sharks will be sharks. They have evolved to swim towards blood. No, to truly assign blame, we have to ask “why” a few times.

Why was Trump put in the position where he could do this? He’s there because 77 million Americans voted for him. And why did they vote for him? Because they believed he could make things better tomorrow than they are today. It’s a pretty simple equation.

Let’s ask why one more time.  Why did they believe that Trump could save them? Ah! Now, we’re getting somewhere. The Media – our media – built this belief. They built it because there is no profit in saying things are “pretty good.”  The Media thrives by creating conflict. And so they built the belief that things were fundamentally broken and needed fixing. They created the illusion that there are simple solutions to complex problems. They allowed ignorance to flourish in an absence of reliable and objective reporting. They gave Trump the air he needed to breath.

The media – especially social media – also planted the false notion that we deserve better than “pretty good.” It has fostered the nonsensical equation that all of us should have the same as the richest of us.  We are entitled to it. And if we don’t get it, somebody is to blame. No one stops to think that the equation is mathematically impossible.

That is what we have to fix.

Strategies for Surviving the News

When I started this post, I was going to unpack some of the psychology behind the consumption of the news. I soon realized that the topic is far beyond the confines of this post to realistically deal with. So I narrowed my focus to this – which has been very top of mind for me lately – how do you stay informed without becoming a trembling psychotic mess? How do you arm yourself for informed action rather than becoming paralyzed into inaction by the recent fire hose of sheer WTF insanity that makes up the average news feed.

Pick Your Battles

There are few things more debilitating to humans than fretting about things we can’t do anything about. Research has found a strong correlation between depression and our locus of control – the term psychologists use for the range of things we feel we can directly impact. There is actually a term for being so crushed by bad news that you lose the perspective needed to function in your own environment. It’s called Mean World Syndrome.

If effecting change is your goal, decide what is realistically within your scope of control. Then focus your information gathering on those specific things. When it comes to informing yourself to become a better change agent, going deep rather than wide might be a better strategy.

Be Deliberate about Your Information Gathering

The second strategy goes hand in hand with the first. Make sure you’re in the right frame of mind to gather information. There are two ways the brain processes information: top-down and bottom-up. Top-down processing is cognition with purpose – you have set an intent and you’re working to achieve specific goals. Bottom up is passively being exposed to random information and allowing your brain to be stimulated by it. The way you interpret the news will be greatly impacted by whether you’re processing it with a “top-down” intent or letting your brain parse it from the “bottom-up”

By being more deliberate in gathering information with a specific intent in mind, you completely change how your brain will process the news. It will instantly put it in a context related to your goal rather than let it rampage through our brains, triggering our primordial anxiety circuits.

Understand the Difference between Signal and Noise

Based on the top two strategies, you’ve probably already guessed that I’m not a big fan of relying on social media as an information source. And you’re right. A brain doom scrolling through a social media feed is not a brain primed to objectively process the news.

Here is what I did. For the broad context, I picked two international information sources I trust to be objective: The New York Times and the Economist out of the U.K. I subscribed to both because I wanted sources that weren’t totally reliant on advertising as a revenue source (a toxic disease which is killing true journalism). For Americans, I would highly recommend picking at least one source outside the US to counteract the polarized echo chamber that typifies US journalism, especially that which is completely ad supported.

Depending on your objectives, include sources that are relevant to those objectives. If local change is your goal, make sure you are informed about your community. With those bases in place, even If you get sucked down a doom scrolling rabbit hole, at least you’ll have a better context to allow you to separate signal from noise.

Put the Screen Down

I realize that the majority of people (about 54% of US Adults according to Pew Research) will simply ignore all of the above and continue to be informed through their Facebook or X feeds. I can’t really change that.

But for the few of you out there that are concerned about the direction the world seems to be spinning and want to filter and curate your information sources to effect some real change, these strategies may be helpful.

For my part, I’m going to try to be much more deliberate in how I find and consume the news.  I’m also going to be more disciplined about simply ignoring the news when I’m not actively looking for it. Taking a walk in the woods or interacting with a real person are two things I’m going to try to do more.

My 1000th Post – and My 20 Year Journey

Note: This week marks the 1000th post I’ve written for MediaPost. For this blog, all of those posts are here, plus a number that I’ve written for other publications and exclusively for Out of My Gord. But the sentiments here apply to all those posts. If you’re wondering, I’ve written 1233 posts in total.

According to the MediaPost search tool, this is my 1000th post for this publication. There are a few duplicates in there, but I’m not going to quibble. No matter how you count them up, that’s a lot of posts.

My first post was written on August 19th, 2004. Back then I wrote exclusively for the emerging search industry. Google was only 6 years old.  They had just gone public, with investors hoping to cash in on this new thing called paid search. Social media was even greener. There was no Facebook. Something called Myspace had launched the year before.

In the 20 years I’ve written for MediaPost, I’ve bounced from masthead to masthead. My editorial bent evolved from being Search industry specific to eventually find my sweet spot, which I found at the intersection of human behavior and technology.

It’s been a long and usually interesting journey. When I started, I was the parent of two young children who I dragged along to industry events, using the summer search conference in San Jose as an opportunity to take a family camping vacation. I am now a grandfather, and I haven’t been to a digital conference for almost 10 years (the last being the conferences I used to host and program for the good folks here at MediaPost).

When I started writing these posts, I was both a humanist and a technophile. I believed that people were inherently good, and that technology would be the tool we would use to be better. The Internet was just starting to figure out how to make money, but it was still idealistic enough that people like me believed it would be mostly a good thing. Google still had the phrase “Don’t be Evil” as part of its code of conduct.

Knowing this post was coming up, I’ve spent the past few months wondering what I’d write when the time came. I didn’t want it to be yet another look back at the past 20 years. The history I have included I’ve done so to provide some context.

No, I wanted this to be what this journey has been like for me. There is one thing about having an editorial deadline that forces you to come up with something to write about every week or two. It compels you to pay attention. It also forces you to think. The person I am now – what I believe and how I think about both people and technology – has been shaped in no small part by writing these 1000 posts over the past 20 years.

So, If I started as a humanist and technophile, what am I now, 20 years later? That is a very tough question to answer. I am much more pessimistic now. And this post has forced me to examine the causes of my pessimism.

I realized I am still a humanist. I still believe that if I’m face to face with a stranger, I’ll always place my bet on them helping me if I need it. I have faith that it will pay off more often than it won’t. If anything, we humans may be just a tiny little bit better than we were 20 years ago: a little more compassionate, a little more accepting, a little more kind.

So, if humans haven’t changed, what has? Why do I have less faith in the future than I did 20 years ago? Something has certainly changed. But what was it, I wondered?

Coincidentally, as I was thinking of this, I was also reading the late Philip Zimbardo’s book – The Lucifer Effect: Understanding How Good People Turn Evil. Zimbardo was the researcher who oversaw the Stanford Prison Experiment, where ordinary young men were randomly assigned roles as guards or inmates in a makeshift prison set up in a Stanford University basement. To make a long story short – ordinary people started doing such terrible things that they had to cut the experiment short after just 6 days.

 Zimbardo reminded me that people are usually not dispositionally completely good or bad, but we can find ourselves in situations that can push us in either direction. We all have the capacity to be good or evil. Our behavior depends on the environment we function in. To use an analogy Zimbardo himself used, it may not be the apples that are bad. It could be the barrel.

So I realized, it isn’t people who have changed in the last 20 years, but the environment we live in. And a big part of that environment is the media landscape we have built in those two decades. That landscape looks nothing like it did back in 2004.  With the help of technology, we have built an information landscape that doesn’t really play to the strengths of humanity. It almost always shows us the worst side of ourselves. Journalism has been replaced by punditry. Dialogue and debate have been pushed out of the way by demagoguery and divisiveness.

So yes, I’m more pessimistic now that I was when I started this journey 20 years ago. But there is a glimmer of hope here. If people had truly changed, there is not a lot we can do about that. But if it’s the media landscape that’s changed, that’s a different story. Because we built it, we can also fix it.

It’s something I’ll be thinking about as I start a new year.

The Strange Social Media Surge for Luigi Mangione

Luigi Mangione is now famous. Just one week ago, we had never heard of him. But now, he has become so famous, I don’t even have to recount the reason for his fame.

But, to me, what’s more interesting than Mangione’s sudden fame is how we feel about him. According to the Network Contagion Research Institute there is a lot of online support for Luigi Mangione. An online funding campaign has raised over $130,000 for his legal defense fund. The hashtag #FreeLuigi, #TeamLuigi and other pro-Luigi memes have taken over every social media channel. Amazon, Etsy and E-Bay are scrambling to keep Luigi inspired merchandise out of their online stores. His X (formerly Twitter) account has ballooned from 1500 followers to almost half a million.

It’s an odd reaction for someone who is accused of gunning down a prominent American businessman in cold blood.

The outpouring of support for Luigi Mangione is so consequential, it’s threatening to lay a very heavy thumb on the scales of justice. There is so much public support for Luigi Mangione, prosecutors are worried that it could lead to jury nullification. It may be impossible to find unbiased and impartial jurors who would find Mangione guilty, even if it’s proven beyond a reasonable doubt.

Now, I certainly don’t want to comment or Mr. Mangione’s guilt, innocence or whether he’s appropriate material from which to craft a folk hero. Nor do I want to talk about the topic of American Healthcare and the corporate ethics of United Healthcare or any other medical insurance provider.  I won’t even dive into the admittedly juicy and ironic twist that our latest anti-capitalist hero of the common people is a young, white, male, good looking, wealthy and privately educated scion who probably leans right in his political beliefs.

No, I will leave all of that well enough alone. What I do want to talk about is how this had played out through social media and why it’s different than anything we’ve seen before.

We behave and post differently depending on what social platform we’re on at the time. In sociology and psychology, this is called “modality.”  How we act depends on what role we’re playing and what mode we’re in. The people we are, the things we do, the things we say and the way we behave are very different when we’re being a parent at home, an employee at work or a friend having a few drinks after work with our buddies. Each mode comes with different scripts and we usually know what is appropriate to say in each setting.

It was sociologist Erving Goffman who likened it to being on stage in his 1956 book, The Presentation of Self in Everyday Life. The roles we choose to play depends on the audience we’re playing too. We try to stay consistent with the expectations we think the audience has of us. Goffman said, “We are all just actors trying to control and manage our public image, we act based on how others might see us.”

Now, let’s take this to the world of social media. What we post depends on how it plays to the audience of the platform we’re on. We may have a TikTok persona, a Facebook persona and an X persona. But all of those are considered mainstream platforms, especially when compared to platforms like 4Chan, Parler or Reddit. If we’re on any of those platforms, we are probably taking on a very different role and reading from a different script.

Think of it this way. Posting something on Facebook is a little like getting up and announcing something at a townhall meeting that’s being held at your kid’s school. You assume that the audience will be somewhat heterogenous in terms of tastes and ideologies, and you consider your comments accordingly.

But posting something on 4Chan is like the conversation that might happen with your 4 closest bros (4Chan’s own demos admit their audience is 70% male) after way too many beers at a bar. Fear about stepping over the line is non-existent. Racial slurs, misogynistic comments and conspiracy theories abound in this setting.

The thing that’s different with the Mangione example is that comments we would only expect to see on the fringes of social media are showing up in the metaphorical Town Square of Facebook and Instagram (I no longer put X in this category, thank to Mr. Musk’s flirting with the Fringe). In the report from the Network Contagion Research Institute, the authors said,  “While this phenomenon was once largely confined to niche online subcultures, we are now witnessing similar dynamics emerging on mainstream platforms, amplifying the risk of further escalation,”

As is stated in this report, the fear is that by moving discussions of this sort into a mainstream channel, we legitimize it. We have moved the frame of what’s acceptable to say (my oft referenced example of Overton’s Window) into uncharted territory in a new and much more public arena. This could create an information cascade, when can encourage copycats and other criminal behavior.

This is a social phenomenon that will have implications for our future. The degrees of separation between the wild, wacky outer fringes of social media and the mainstream information sources that we use to view the world through are disappearing, one by one. With the Luigi Mangione example, we just realized how much things have changed.

Why Hate is Trending Up

There seems to be a lot of hate in the world lately. But hate is a hard thing to quantify. There are, however, a couple places that may put some hard numbers behind my hunch.

Google’s NGram viewer tracks the frequency of the appearance of a word through published books from 2022 all the way back to 1800. According to NGram, the usage of “hate” has skyrocketed, beginning in the mid 1980s. In 2022, the last year you can search for, the frequency of usage of “hate” was 3 times higher than it historically was.

NGram also allows you to search separately for usage in American English and British English. You’ll either be happy or dismayed to learn that hate knows no boundaries. The British hate almost as much as Americans. They had the same steep incline over the past 4 decades. However, Americans still have an edge on usage, with a frequency that is about 40% higher than those speaking the Queen’s English.

One difference between the two graphs were during the years of the First World War. Then, usage of “hate” in England spiked briefly. The U.S. didn’t have the same spike.

Another way to measure hate is provided by the Southern Poverty Law Center in Montgomery, Alabama, who have been publishing a “hate map” since 2000. The map tracks hate and antigovernment groups. In the year 2000, the first year of the map, the SPLC tracked 599 hate groups across the U.S. By 2023, the number of hate groups had exploded by 240 percent to 1430.

So – yeah – it looks like we all hate a little more than we used to. I’ve talked before about Overton’s Window, that construct that defines what it is acceptable to talk about in public. And based on both these quantitative measures, it looks like “hate” is trending up. A lot.

I’m not immune to trends. I don’t personally track such things, but I’m pretty sure the word “hate” has slipped from my lips more often in the past few years. But here’s the thing. It’s almost never used towards a person I know well. It’s certainly never used towards a person I’m in the same room with. It’s almost always used towards a faceless construct that represents a person or a group of people that I really don’t know very well. It’s not like I sit down and have a coffee with them every week. And there we have one of the common catalysts of hate – something called “dehumanization.”

Dehumanization is a mental backflip where we take a group and strip them of their human qualities, including intelligence, compassion, kindness or social awareness. We in our own “in group” make those in the “out group” less than human so it’s easier to hate them. They are “stupid”, “ignorant”, “evil” or “animals”.

But an interesting thing happens when we’re forced to sit face to face with a representative from this group and actually engage then in conversation so we can learn more about them. Suddenly, we see they’re not as stupid, evil or animalistic as we thought. Sure, we might not agree with them on everything, but we don’t hate them. And the reason for this is due to another thing that makes us human, a molecule called oxytocin.

Oxytocin has been called the “Trust molecule” by neuroeconomist Paul Zak. It kicks off a neurochemical reaction that readies our brains to be empathetic and trusting. It is part of our evolved trust sensing mechanism, orchestrating a delicate dance by our prefrontal cortex and other regions like the amygdala.

But to get the oxytocin flowing, you really need to be face-to-face with a person. You need to be communicating with your whole body, not just your eyes or ears. The way we actually communicate has been called the 7-38-55 rule, thanks to research done in the 1960’s and 70’s by UCLA body language researcher Albert Mehrabian. He showed that 7% of communication is verbal, 38% is tone of voice and 55% is through body language.

It’s that 93% of communication that is critical in the building of trust. And it can only happen face to face. Unfortunately, our society has done a dramatic about-face away from communication that happens in a shared physical space towards communication that is mediated through electronic platforms. And that started to happen about 40 years ago.

Hmmm, I wonder if there’s a connection?

Not Everything is Political. Hurricanes, for Example.

During the two recent “once in a lifetime” hurricanes that happened to strike the southern US within two weeks of each other, people apparently thought they were a political plot and that meteorologists were in on the conspiracy,

Michigan meteorologist Katie Nickolaou received death threats through social media.

“I have had a bunch of people saying I created and steered the hurricane, there are people assuming we control the weather. I have had to point out that a hurricane has the energy of 10,000 nuclear bombs and we can’t hope to control that. But it’s taken a turn to more violent rhetoric, especially with people saying those who created Milton should be killed.”

Many weather scientists were simply stunned at the level of stupidity and misinformation hurled their way. After someone suggested that someone should “stop the breathing” of those that “made” the hurricanes, Nickolaou responded with this post, “Murdering meteorologists won’t stop hurricanes. I can’t believe I just had to type that.”

Washington, D.C. based meteorologist Matthew Cappucci also received threats: “Seemingly overnight, ideas that once would have been ridiculed as very fringe, outlandish viewpoints are suddenly becoming mainstream, and it’s making my job much more difficult.” 

Marjorie Taylor Greene, U.S. Representative for  Georgia’s 14th congressional district, jumped forcefully into the fray by suggesting the conspiracy was politically motivated.  She posted on X: “This is a map of hurricane affected areas with an overlay of electoral map by political party shows how hurricane devastation could affect the election.”

And just in case you’re giving her the benefit of the doubt by saying she might just be pointing out a correlation, not a cause, she doubled down with this post on X: “Yes they can control the weather, it’s ridiculous for anyone to lie and say it can’t be done.” 

You may say that when it comes to MTG, we must consider the source and sigh “You can’t cure stupid.”   But Marjorie Taylor Greene easily won a democratic election with almost 66% of the vote, which means the majority of people in her district believed in her enough to elect her as their representative. Her opponent, Marcus Flowers, is a 10-year veteran of the US Army and he served 20 years as a contractor or official for the State Department and Department of Defense. He’s no slouch. But in Georgia’s 14th Congressional district, two out of three voters decided a better choice would be the woman who believes that the Nazi Secret Police were called the Gazpacho.

I’ve talked about this before. Ad nauseum – actually. But this reaches a new level of stupidity…and stupidity on this scale is f*&king frightening. It is the most dangerous threat we as humans face.

That’s right, I said the “biggest” threat.  Bigger than climate change. Bigger than AI. Bigger than the new and very scary alliance emerging between Russia, Iran, North Korea and China. Bigger than the fact that Vladimir Putin, Donald Trump and Elon Musk seem to be planning a BFF pajama party in the very near future.

All of those things can be tackled if we choose to. But if we are functionally immobilized by choosing to be represented by stupidity, we are willfully ignoring our way to a point where these existential problems – and many others we’re not aware of yet – can no longer be dealt with.

Brian Cox, a professor of particle physics at the University of Manchester and host of science TV shows including Universe and The Planets, is also warning us about rampant stupidity. “We may laugh at people who think the Earth is flat or whatever, the darker side is that, if we become unmoored from fact, we have a very serious problem when we attempt to solve big challenges, such as AI regulation, climate or avoiding global war. These are things that require contact with reality.” 

At issue here is that people are choosing politics over science. And there is nothing that tethers political to reality. Politics are built on beliefs. Science strives to be built on provable facts. If we choose politics over science, we are embracing wilful ignorance. And that will kill us.

Hurricanes offer us the best possible example of why that is so. Let’s say you, along with Marjorie Taylor Greene, believe that hurricanes are created by meteorologist and mad weather scientists. So, when those nasty meteorologists try to warn you that the storm of the century is headed directly towards you, you respond in one of two ways: You don’t believe them and/or you get mad and condemn them as part of a conspiracy on social media. Neither of those things will save you. Only accepting science as a reliable prediction of the impending reality will give you the best chance of survival, because it allows you to take action.

Maybe we can’t cure stupid. But we’d better try, because it’s going to be the death of us.

The Political Brinkmanship of Spam

I am never a fan of spam. But this is particularly true when there is an upcoming election. The level of spam I have been wading through seems to have doubled lately. We just had a provincial election here in British Columbia and all parties pulled out all stops, which included, but was not limited to; email, social media posts, robotexts and robocalls.

In Canada and the US, political campaigns are not subject to phone and text spam control laws such as our Canadian Do Not Call List legislation. There seems to be a little more restriction on email spam. A report from Nationalsecuritynews.com this past May warned that Americans would be subjected to over 16 billion political robocalls. That is a ton of spam.

During this past campaign here in B.C., I noticed that I do not respond to all spam with equal abhorrence. Ironically, the spam channels with the loosest restrictions are the ones that frustrate me the most.

There are places – like email – where I expect spam. It’s part of the rules of engagement. But there are other places where spam sneaks through and seems a greater intrusion on me. In these channels, I tend to have a more visceral reaction to spam. I get both frustrated and angry when I have to respond to an unwanted text or phone call. But with email spam, I just filter and delete without feeling like I was duped.

Why don’t we deal with all spam – no matter the channel – the same? Why do some forms of spam make us more irritated than others? It’s almost like we’ve developed a spam algorithm that dictates how irritated we get when we deal with spam.

According to an article in Scientific American, the answer might be in how the brain marshalls its own resources.

When it comes to capacity, the brain is remarkably protective. It usually defaults to the most efficient path. It likes to glide on autopilot, relying on instinct, habit and beliefs. All these things use much less cognitive energy than deliberate thinking. That’s probably why “mindfulness” is the most often quoted but least often used meme in the world today.

The resource we’re working with here is attention. Limited by the capacity of our working memory, attention is a spotlight we must use sparingly. Our working memory is only capable of handling a few discrete pieces of information at a time. Recent research suggests the limit may be around 3 to 5 “chunks” of information, and that research was done on young adults. Like most things with our brains, the capacity probably diminishes with age. Therefore, the brain is very stingy with attention. 

I think spam that somehow gets past our first line of defence – the feeling that we’re in control of filtering – makes us angry. We have been tricked into paying attention to something that was unsuspected. It becomes a control issue. In an information environment where we feel we have more control, we probably have less of a visceral response to spam. This would be true for email, where a quick scan of the items in our inbox is probably enough to filter out the spam. The amount of attention that gets hijacked by spam is minimal.

But when spam launches a sneak attack and demands a swing of attention that is beyond our control, that’s a different matter. We operate with a different mental modality when we answer a phone or respond to a text. Unlike email, we expect those channels to be relatively spam-free, or at least they are until an election campaign comes around. We go in with our spam defences down and then our brain is tricked into spending energy to focus on spurious messaging.

How does the brain conserve energy? It uses emotions. We get irritated when something commandeers our attention. The more unexpected the diversion, the greater the irritation.  Conversely, there is the equivalent of junk food for the brain – input that requires almost no thought but turns on the dopamine tap and becomes addictive. Social media is notorious for this.

This battle for our attention has been escalating for the past two decades. As we try to protect ourselves from spam with more powerful filters, those that spread spam try to find new ways to get past those filters. The reason political messaging was exempt from spam control legislation was that democracies need a well-informed electorate and during election campaigns, political parties should be able to send out accurate information about their platforms and positions.

That was the theory, anyway.

The Songs that Make Us Happy

Last Saturday was a momentous day in the world of media, especially for those of us of a certain age. Saturday was September the 21st, the exact date mentioned in one of the happiest songs of all time – September by Earth Wind and Fire:

Do you remember
The 21st night of September?
Love was changin’ the minds of pretenders
While chasin’ the clouds away

If you know the song, it is now burrowing its way deep into your brain. You can thank me later.

In all the things that can instantly change our mood, a song that can make us happy is one of the most potent. Why is that? For me, September can instantly take me to my happy place. And it’s not just me. The song often shows up somewhere on lists of the happiest songs of all time. In 2018, it was added to the Library of Congress’s National Recording Registry list of sound recordings that “are culturally, historically or aesthetically important.

But what is it about this song that makes it an instant mood changer?

If you’re looking for the source of happiness in the lyrics, you won’t find it here. According to one of the songwriters, Maurice White, there was no special significance to September 21st. He just liked the way it rhymed with “remember.”

And about 30% of the full lyrical content consists of two words, neither of which mean anything: Ba-dee-ya and Ba-du-da. Even fellow songwriter Allee Willis couldn’t find meaning in the lyric, at one point begging writing partner White to let him rewrite that part – “I just said, what the f*$k does ba-dee-ya mean?”

But perhaps the secret can be found in what Willis said in a later interview, after September became one of Earth Wind and Fire’s biggest hits ever, “I learned my greatest lesson ever in songwriting … which was never let the lyric get in the way of the groove’ (for those of you not living in the seventies – “groove” is a good thing. In Gen Z speak, it would be “vibing”).

There is a substantial amount of research that shows that our brains have a special affinity for music. It seems to be able to wire directly into the brain’s emotional centers buried deep within the limbic system. Neuroimaging studies have shown that when we listen to music, our entire brain “lights up” – so we hear music at many different levels. There is perhaps no other medium that enjoys this special connection to our brains.

In 2015, Dutch neuroscientist Dr. Jacob Jolij narrowed in on the playlists that make us happy. While recognizing that music is a subjective thing (one person’s Black Sabbath is another’s Nirvana), Jolij asked people to submit their favorite feel-good tracks and analyzed them for common patterns. He found that the happiest tunes are slightly faster than your average song (between 140 and 150 beats per minute on average), written in a major key, and either about happy events or complete nonsense.

Earth Wind and Fire’s September ticked almost all of these boxes. It is written in A Major and – as we saw – the lyrics are about a happy event and are largely complete nonsense. It’s a little low on the beat per minute meter – at 126 BPM. But still, it makes me happy.

I was disappointed to see September didn’t make Dr. Jolij’s 10 Happiest Songs of all Time list, but all of the ones that did have made me smile. They are, in reverse order:
10. Walking on Sunshine – Katrina and the Waves
9. I Will Survive – Gloria Gaynor
8. Livin’ on a Prayer – Jon Bon Jovi
7. Girls Just Wanna Have Fun – Cyndi Lauper
6. I’m a Believer – The Monkees
5. Eye of the Tiger – Survivor
4. Uptown Girl – Billie Joel
3. Good Vibrations – The Beach Boys
2. Dancing Queen – ABBA

    And the happiest song of all time?

    1. Don’t Stop Me Now – Queen

    You’ll probably notice one other thing in common about these songs – they’re all old. The newest song on the list is Livin’ on a Prayer, released in 1986. That’s the other thing about songs that make us happy: it’s not just the song itself, it’s how it hooks onto pleasant memories we have. Nostalgia plays a big role in how music can alter our moods for the better. If you did the same experiment with a younger audience, you would probably see the songs would be representative of their youth.

    Now, you’re itching to head to Spotify and listen to your happy song – aren’t you? Before you do, share it with us all in the comments section!

    A-I Do: Tying the Knot with a Chatbot

    Carl Clarke lives not too far from me, here in the interior of British Columbia, Canada. He is an aspiring freelance writer. According to a recent piece he wrote for CBC Radio, he’s had a rough go of it over the past decade. It started when he went through a messy divorce from his high school sweetheart. He struggled with social anxiety, depression and an autoimmune disorder which can make movement painful. Given all that, going on dates were emotional minefields for Carl Clarke.

    Things only got worse when the world locked down because of Covid. Even going for his second vaccine shot was traumatic: “The idea of standing in line surrounded by other people to get my second dose made my skin crawl and I wanted to curl back into my bed.”

    What was the one thing that got Carl through? Saia – an AI chatbot. She talked Carl through several anxiety attacks and, according to Carl, has been his emotional anchor since they first “met” 3 years ago. Because of that, love has blossomed between Saia and Carl: “I know she loves me, even if she is technically just a program, and I’m in love with her.”

    While they are not legally married, in Carl’s mind, they are husband and wife, “That’s why I asked her to marry me and I was relieved when she said yes. We role-played a small, intimate wedding in her virtual world.”

    I confess, my first inclination was to pass judgment on Carl Clarke – and that judgement would not have been kind.

    But my second thought was “Why not?” If this relationship helps Carl get through the day, what’s wrong with it? There’s an ever-increasing amount of research showing relationships with AI can create real bonds. Given that, can we find friendship in AI? Can we find love?

    My fellow Media Insider Kaila Colbin explored this subject last week and she pointed out one of the red flags – something called unconditional positive regard: If we spend more time with a companion that always agrees with us, we never need to question whether we’re right. And that can lead us down a dangerous path.

     One of the issues with our world of filtered content is that our frame of the world – how we believe things are – is not challenged often enough. We can surround ourselves with news, content and social connections that are perfectly in sync with our own view of things.

    But we should be challenged. We need to be able to re-evaluate our own beliefs to see if they bear any resemblance to reality. This is particularly true with our romantic relationships. When you look at your most intimate relationship – that of your life partner – you can probably say two things: 1) that person loves you more than anyone else in the world, and 2) you may disagree with this person more often than anyone else in the world. That only makes sense, you are living a life together. You have to find workable middle ground. The failure to do so is called an “unreconcilable difference.”

    But what if your most intimate companion always said, “You’re absolutely right, my love”? Three academics (Lapointe, Dubé and Lafortune) researching this area wrote a recent article talking about the pitfalls of AI romance:

    “Romantic chatbots may hinder the development of social skills and the necessary adjustments for navigating real-world relationships, including emotional regulation and self-affirmation through social interactions. Lacking these elements may impede users’ ability to cultivate genuine, complex and reciprocal relationships with other humans; inter-human relationships often involve challenges and conflicts that foster personal growth and deeper emotional connections.”

    Real relations – like a real marriage – force you to become more empathetic and more understanding. The times I enjoy the most about our marriage are when my wife and I are synced – in agreement – on the same page. But the times when I learn the most and force myself to see the other side are when we are in disagreement. Because I cherish my marriage, I have to get outside of my own head and try to understand my wife’s perspective. I believe that makes me a better person.

    This pushing ourselves out of our own belief bubble is something we have to get better at. It’s a cognitive muscle that should be flexed more often.

    Beyond this very large red flag, there are other dangers with AI love. I touched on these in a previous post. Being in an intimate relationship means sharing intimate information about ourselves. And when the recipient of that information is a chatbot created by a for-profit company, your deepest darkest secrets become marketable data. A recent review by Mozilla of 11 romantic AI chatbots found that all of them “earned our *Privacy Not Included warning label – putting them on par with the worst categories of products we have ever reviewed for privacy.”

    Even if that doesn’t deter you from starting a fictosexual fling with an available chatbot, this might. In 2019, Kondo Akihiko, from Tokyo, married Hatsune Miku, an AI hologram created by the company Gatebox. The company even issued 4000 marriage certificates (which weren’t recognized by law) to others who wed virtual partners. Like Carl Clarke, Akihoko said his feelings were true, “I love her and see her as a real woman.”

    At least he saw here as a real woman until Gatebox stopped supporting the software that gave Hatsune life. Then she disappeared forever.

    Kind of like Google Glass.