Quant vs Qual in the time of Crisis

Digesting reality is becoming more and more difficult. I often find myself gagging on it. Last Friday was a good example. I have been limiting my news intact for my own sanity, but Friday morning I went down the rabbit hole. Truth be told, I started doing some research for the post I was intending to write (which I will probably get to next week) and I was soon overwhelmed with what I was reading.

I’m beginning to suspect that we’re getting an extra dump of frightening news on Fridays as officials realize that it’s more difficult to enforce social distancing on weekends. Whether this is the case or not, I found my chest tightening from anxiety. My hands got shaky as I found myself clicking on frightening link after frightening link. Predictions scared the shit out of me. I was worried for my community and country. I was worried for myself. But most of all, I was worried for my kids, my wife, my dad, my in-laws and my family.

Fear and anxiety swamped my normally rational side. Intellect gave way to despair. That’s not a good mode for me. I have to run cool – I need to be rational to function. Emotions mentally shut me down.

So I retreated to the numbers. My single best source throughout this has been the posts from Tomas Pueyo – the VP of Growth at Course Hero. They are exhaustively researched statistical analyses and “what-if” models assembled by an ad-hoc team of rockstar quants. On his first post on March 10 –  “Coronavirus: Why You Must Act Now” – Pueyo and his team nailed it. If everyone listened and followed his advice, we wouldn’t be where we are now. Similarly, his post on March 19 – “Coronavirus: The Hammer and The Dance” gave a tough but rational prescription to follow. His latest – “Coronavirus: Out of Many, One” – drills down on a state-by-state analysis of COVID in the US.

I’m not going to blow smoke here. These are tough numbers to read. Even the best-case scenarios would have been impossible to imagine just a few weeks ago. But the worst-case scenarios are exponentially more frightening. And if you – like me – needs to retreat to ration in order to keep functioning, this is the best rationale I’ve found for dealing with COVID 19. It’s not what we want to hear, but it’s what we must listen to.

In my marketing life, I always encouraged a healthy mix of both quantitative and qualitative perspectives in trying to understand what is real. I’ve said in the past: “Quantitative is watching the dashboard while you drive. Qualitative is looking out the windshield.”

I often find that marketers tend to focus too much on the numbers and not enough on the people on the other side of those numbers. We were an industry deluged with data and it made us less human.

Ironically, I now find myself on the other side of that argument. We have to understand that even our most trustworthy media sources are going to be telling us the stories that have the most impact on us. Whether you turn to Fox or CNN as your news source, we would be getting soundbites out of context that are – by design – sensational in nature. They may differ in their editorial slants, but – right or left – we can’t consider them representational of reality. They are the outliers.

Being human, we can’t help but apply these to our current reality. It’s called availability bias. It the simplest terms possible, it means that those things that are most in our face become our understanding of any given situation.

In normal times, these individual examples can heighten our humanity and make us a little less numb. They remind us of the relevance of the individual experience– the importance of every life and the tragedy of even one person suffering.

“If only one man dies of hunger, that is a tragedy.
If millions die, that’s only a statistic.”

– Joseph Stalin

Normally, I would never dream of quoting Joe Stalin in a post. But these are not normal times. And the fact is, Stalin was right. when we start looking at statistics and mathematical modelling, our brain works differently. It forces us to use a more rational cognitive mechanism; one less likely to be influenced by emotion. And in responding to a crisis, this is exactly the type of reasoning required.

This is a time unlike anything any of us has experienced. In times like this, actions should be based on the most accurate and scientific information possible. We need the cold, hard logic of math as a way to not become swamped by the wave of our own emotions. In order to make really difficult decisions for the greater good, we need to distance ourselves from our own little bubbles of reality, especially when that reality is made up of non-representative examples streamed to us through media channels.

Whipped Into a Frenzy

Once again, we’re in unprecedented territory. According to the CDC – COVID-19 is the first global pandemic since the 2009 H1N1 outbreak. While Facebook was around in 2009, it certainly wasn’t as pervasive or impactful as it is today. Neither – for that matter – was H1N1 when compared to COVID-19. That would make COVID-19 the first true pandemic in the age of social media.

While we’re tallying the rapidly mounting human and economic costs of the pandemic on a day-by-day basis, there is a third type of damage to consider. There will be a cognitive cost to this as well.

So let’s begin by unpacking the psychology of a pandemic. Then we’ll add the social media lens to that.

Emotional Contagion aka “The Toilet Paper Syndrome”

Do you have toilet paper at your local store? Me neither. Why?

The short answer is that there is no rational answer. There is no disruption in the supply chain of toilet paper. If you were inclined to stock up on something to battle COVID-19, hand sanitizer would be a much better choice.  Search as you might, there is no logical reason why people should be pulling toilet paper by the pallet full out of their local Costco.

There is really only one explanation; panic is contagious. It’s called emotional contagion. And there is an evolutionary explanation for it. We evolved as herd animals and when our threats came from the environment around us, it made sense to panic when you saw your neighbor panicking. Those that were on the flanks of the herd acted as an early warning system for the rest. When you saw panic close to you, the odds were very good that you were about to be eaten, trampled or buried under a rockslide. We’re hardwired to live by the principle of “Monkey see, monkey do.”

Here’s the other thing about emotional contagion. It doesn’t work very well if you have to take time to think about it. Panicked responses to threats from your environment will only save your life if they happen instantly. Natural selection has ensured they bypass the slower and more rational processing loops of our brain.

But now let’s apply the social media lens to this. Before modern communication tools were invented, emotional contagion was limited by the constraints of physical proximity. It was the original application of social distancing. Emotions could spread to a social node linked by physical proximity, but it would seldom jump across ties to another node that was separated by distance.

Then came Facebook, a platform perfectly suited to emotional contagion. Through it, emotionally charged messages can spread like wildfire regardless of where the recipients might be – creating cascades of panic across all nodes in a social network.

Now we have cascades of panic causing – by definition – irrational responses. And that’s dangerous. As Wharton Management professor Sigal Barsade said in a recent podcast, “I would argue that emotional contagion, unless we get a hold on it, is going to greatly amplify the damage caused by COVID-19”

Why We Need to Keep Calm and Carry On

Keep Calm and Carry On – the famous slogan from World War II Britain – is more than just a platitude that looks good on a t-shirt. It’s a sound psychological strategy for survival, especially when faced with threats in a complex environment. We need to think with our whole brain and we can only do that when we’re not panicking.

Again, Dr. Barsade cautions us “One of the things we also know from the research literature is that negative emotions, particularly fear and anxiety, cause us to become very rigid in our decision-making. We’re not creative. We’re not as analytical, so we actually make worse decisions.”

Let’s again consider the Facebook Factor (in this case, Facebook being my proxy for all social media). Negative emotional messages driven by fear gets clicked and shared a lot on social media. Unfortunately, much of that messaging is – at best – factually incomplete or – at worst – a complete fabrication. A 2018 study from MIT showed that false news spreads six times faster on social media than factual information.

It gets worse. According to Pew Research, one in five Americans said that social media is their preferred source for news, surpassing newspapers. In those 18 -to 29, it was the number one source. When you consider the inherent flaws in the methodology of a voluntary questionnaire, you can bet the actual number is a lot higher.

Who Can You Trust?

Let’s assume we can stay calm. Let’s further assume we can remain rational. In order to make rational decisions, you need factual information.

Before 2016, you could generally rely on government sources to provide trustworthy information. But that was then. Now, we live in the reality distortion field that daily spews forth fabricated fiction from the Twitter account of Donald. J. Trump, aka the President of the United States.

The intentional manipulation of the truth by those we should trust has a crippling effect on our ability to respond as a cohesive and committed community. As recently as just a week and a half ago, a poll found that Democrats were twice as likely as Republicans to say that COVID-19 posed an imminent threat to the U.S. By logical extension, that means that Republicans were half as likely to do something to stop the spread of the disease.

My Plan for the Pandemic

Obviously, we live in a world of social media. COVID-19 or not, there is no going back. And while I have no idea what will happen regarding the pandemic, I do have a pretty good guess how this will play out on social media. Our behaviours will be amplified through social media and there will be a bell curve of those behaviors stretching from assholes to angels. We will see the best of ourselves – and the worst – magnified through the social media lens.

Given that, here’s what I’m planning to do. One I already mentioned. I’m going to keep calm. I’m going to do my damnedest to make calm, rational decisions based on trusted information (i.e. not from social media or the President of the United States) to protect myself, my loved ones and anyone else I can.

The other plan? I’m going to reread everything from Nassam Nicholas Taleb. This is a good time for all of us to brush up on our understanding of robustness and antifragility.

The Ruts of Our Brain

We are not – by nature – open minded. In fact, as we learn something, the learning creates neural pathways in our brain that we tend to stick to. In other words, the more we learn, the bigger the ruts get.

Our brains are this way by design. At its core, the brain is an energy saving device. If there are two options open to it, one requiring more cognitive processing and one requiring less, the brain will default to the less resource intensive option.

This puts expertise into an interesting new perspective. In a recent study, researchers from Cold Spring Harbor Laboratory, Columbia University, University College London and Flatiron Institute found that when mice learn a new task, the neurons in their brain actually change as they move from being a novice to an expert. At the beginning as they’re learning the task, the required neurons don’t “fire” until the brain makes a decision. But, as expertise is gained, those same neurons start responding before they’re even needed. It’s essentially Hebbian Theory (named after neurologist Donald Hebbs) in action: the neurons that fire together eventually wire together.

We tend to think of experts as bringing a well-honed subset of intellectual knowledge to a question. And that is true, as long as the question is well within their area of expertise. But the minute an expert ventures outside of their “rut” they begin to flounder. In fact, even when they are in their area of expertise but are asked to predict where that path that may lead in the future – beyond their current rut – their expertise doesn’t help them. In 2005 psychologist Phillip Tetlock published “Expert Political Judgement” – a book showing the results of a 20-year long study on the prediction track record of experts. It wasn’t good. According to a New Yorker review of the book, “Human beings who spend their lives studying the state of the world…are poorer forecasters than dart-throwing monkeys”

Why? Well, just like those mice in the above-mentioned study, once we have a rut, our brains like to stick to the rut. It’s just easier for us. And experts have very deep ruts. The deeper the rut, the more effort it takes to peer above it. As Tetlock found, when it comes to predicting what might happen in some area in the future, even if you happen to be an expert in that area, you’d probably be better off flipping a coin than relying on your brain.

By the way, for most of human history, this has been a feature, not a bug. Saving cognitive energy is a wonderful evolutionary advantage. If you keep doing the same thing over and over, eventually the brain pre-lights the neuronal path required, saving itself time and energy. The brain is directing anticipated traffic at faster than the speed of thought. And it’s doing it so well, it would take a significant amount of cognitive horsepower to derail this action.

Like I said, in a fairly predictably world of cause and effect, this system works. But in an uncertain world full of wild card complexity, it can be crippling.

Complex worlds require Foxes, not Hedgehogs. This analogy also comes from Tetlock’s book. According to an old Greek fable, “The fox knows many things but the hedgehog knows just one thing.” To that I would add; the fox knows a little about many things, but the hedgehog knows a lot about one thing. In other words, the hedgehog is an expert.

In Tetlock’s study, people with “fox” qualities had a significantly better track record then “hedgehogs” when it came to predicting the future. Their brains were better able to take the time to synthesize the various data inputs required to deal with the complexity of crystal balling the future because they weren’t barrelling down a pre-ordained path that had been carved by years of accumulated expertise.

But it’s not just expertise that creates these ruts in our brains. The same pattern plays out when we look at the impact of our beliefs play in how open-minded we are. The stronger the belief, the deeper the rut.

Again, we have to remember that this tendency of our brains to form well-travelled grooves over time has been crafted by the blind watchmaker of evolution. But that doesn’t make it any less troubling when we think about the limitations it imposes in a more complex world. This is especially true when new technologies deliberately leverage our vulnerability in this area. Digital platforms ruthlessly eliminate the real estate that lies between perspectives. The ideological landscape in which foxes can effectively operate is disappearing. Increasingly we grasp for expertise – whether it’s on the right or left of any particular topic – with the goal of preserving our own mental ruts.

And as the ruts get deeper, foxes are becoming an endangered species.

Just in Time for Christmas: More Search Eye-Tracking

The good folks over at the Nielsen Norman Group have released a new search eye tracking report. The findings are quite similar to one my former company — Mediative — did a number of years ago (this link goes to a write-up about the study. Unfortunately, the link to the original study is broken. *Insert head smack here).

In the Nielsen Norman study, the two authors — Kate Moran and Cami Goray — looked at how a more visually rich and complex search results page would impact user interaction with the page. The authors of the report called the sum of participant interactions a “Pinball Pattern”: “Today, we find that people’s attention is distributed on the page and that they process results more nonlinearly than before. We observed so much bouncing between various elements across the page that we can safely define a new SERP-processing gaze pattern — the pinball pattern.”

While I covered this at some length when the original Mediative report came out in 2014 (in three separate columns: 1,2 & 3), there are some themes that bear repeating. Unfortunately, I found the study’s authors missed what I think are some of the more interesting implications. 

In the days of the “10 Blue Links” search results page, we used the same scanning strategy no matter what our intent was. In an environment where the format never changes, you can afford to rely on a stable and consistent strategy. 

In our first eye tracking study, published in 2004, this consistent strategy led to something we called the Golden Triangle. But those days are over.

Today, when every search result can look a little bit different, it comes as no surprise that every search “gaze plot” (the path the eyes take through the results page) will also be different. Let’s take a closer look at the reasons for this. 

SERP Eye Candy

In the Nielsen Norman study, the authors felt “visual weighting” was the main factor in creating the “Pinball Pattern”: “The visual weight of elements on the page drives people’s scanning patterns. Because these elements are distributed all over the page and because some SERPs have more such elements than others, people’s gaze patterns are not linear. The presence and position of visually compelling elements often affect the visibility of the organic results near them.”

While the visual impact of the page elements is certainly a factor, I think it’s only part of the answer. I believe a bigger, and more interesting, factor is how the searcher’s brain and its searching strategies have evolved in lockstep with a more visually complex results page. 

The Importance of Understanding Intent

The reason why we see so much variation in scan patterns is that there is also extensive variation in searchers’ intent. The exact same search query could be used by someone intent on finding an online or physical place to purchase a product, comparing prices on that product, looking to learn more about the technical specs of that product, looking for how-to videos on the use of the product, or looking for consumer reviews on that product.

It’s the same search, but with many different intents. And each of those intents will result in a different scanning pattern. 

Predetermined Page Visualizations

I really don’t believe we start each search page interaction with a blank slate, passively letting our eyes be dragged to the brightest, shiniest object on the page. I think that when we launch the search, our intent has already created an imagined template for the page we expect to see. 

We have all used search enough to be fairly accurate at predicting what the page elements might be: thumbnails of videos or images, a map showing relevant local results, perhaps a Knowledge Graph result in the lefthand column. 

Yes, the visual weighting of elements act as an anchor to draw the eye, but I believe the eye is using this anticipated template to efficiently parse the results page. 

I have previously referred to this behavior as a “chunking” of the results page. And we already have an idea of what the most promising chunks will be when we launch the search. 

It’s this chunking strategy that’s driving the “pinball” behavior in the Nielsen Norman study.  In the Mediative study, it was somewhat surprising to see that users were clicking on a result in about half the time it took in our original 2005 study. We cover more search territory, but thanks to chunking, we do it much more efficiently.

One Last Time: Learn Information Scent

Finally, let me drag out a soapbox I haven’t used for a while. If you really want to understand search interactions, take the time to learn about Information Scent and how our brains follow it (Information Foraging Theory — Pirolli and Card, 1999 — the link to the original study is also broken. *Insert second head smack, this one harder.). 

This is one area where the Nielsen Norman Group and I are totally aligned. In 2003, Jakob Nielsen — the first N in NNG — called the theory “the most important concept to emerge from human-computer interaction research since 1993.”

On that we can agree.

The Hidden Agenda Behind Zuckerberg’s “Meaningful Interactions”

It probably started with a good intention. Facebook – aka Mark Zuckerberg – wanted to encourage more “Meaningful Interactions”. And so, early last year, Facebook engineers started making some significant changes to the algorithm that determined what you saw in your News Feed. Here are some excerpts from Zuck’s post to that effect:

“The research shows that when we use social media to connect with people we care about, it can be good for our well-being. We can feel more connected and less lonely, and that correlates with long term measures of happiness and health. On the other hand, passively reading articles or watching videos — even if they’re entertaining or informative — may not be as good.”

That makes sense, right? It sounds logical. Zuckerberg went on to say how they were changing Facebook’s algorithm to encourage more “Meaningful Interactions.”

“The first changes you’ll see will be in News Feed, where you can expect to see more from your friends, family and groups.

As we roll this out, you’ll see less public content like posts from businesses, brands, and media. And the public content you see more will be held to the same standard — it should encourage meaningful interactions between people.”


Let’s fast-forward almost two years and we now see the outcome of that good intention…an ideological landscape with a huge chasm where the middle ground used to be.

The problem is that Facebook’s algorithm naturally favors content from like-minded people. And surprisingly, it doesn’t take a very high degree of ideological homogeneity to create a highly polarized landscape. This shouldn’t have come as a surprise. American Economist Thomas Schelling showed us how easy it was for segregation to happen almost 50 years ago.

The Schelling Model of Segregation was created to demonstrate why racial segregation was such a chronic problem in the U.S., even given repeated efforts to desegregate. The model showed that even when we’re pretty open minded about who our neighbors are, we will still tend to self-segregate over time.

The model works like this. A grid represents a population with two different types of agents: X and O. The square that the agent is in represents where they live. If the agent is satisfied, they will stay put. If they aren’t satisfied, they will move to a new location. The variable here is the level of satisfaction determined by what percentage of their immediate neighbours are the same type of agent as they are. For example, the level of satisfaction might be set at 50%; where the X agent needs at least 50% of its neighbours to also be of type X. (If you want to try the model firsthand, Frank McCown, a Computer Science professor at Harding University, created an online version.)

The most surprising thing that comes out of the model is that this threshold of satisfaction doesn’t have to be set very high at all for extensive segregation to happen over time. You start to see significant “clumping” of agent types at percentages as low as 25%. At 40% and higher, you see sharp divides between the X and O communities. Remember, even at 40%, that means that Agent X only wants 40% of their neighbours to also be of the X persuasion. They’re okay being surrounded by up to 60% Os. That is much more open-minded than most human agents I know.

Now, let’s move the Schelling Model to Facebook. We know from the model that even pretty open-minded people will physically segregate themselves over time. The difference is that on Facebook, they don’t move to a new part of the grid, they just hit the “unfollow” button. And the segregation isn’t physical – it’s ideological.

This natural behavior is then accelerated by the Facebook “Meaningful Encounter” Algorithm which filters on the basis of people you have connected with, setting in motion an ever-tightening spiral that eventually restricts your feed to a very narrow ideological horizon. The resulting cluster then becomes a segment used for ad targeting. We can quickly see how Facebook both intentionally built these very homogenous clusters by changing their algorithm and then profits from them by providing advertisers the tools to micro target them.

Finally, after doing all this, Facebook absolves themselves of any responsibility to ensure subversive and blatantly false messaging isn’t delivered to these ideologically vulnerable clusters. It’s no wonder comedian Sascha Baron Cohen just took Zuck to task, saying “if Facebook were around in the 1930s, it would have allowed Hitler to post 30-second ads on his ‘solution’ to the ‘Jewish problem’”. 

In rereading Mark Zuckerberg’s post from two years ago, you can’t help but start reading between the lines. First of all, there is mounting evidence that disproves his contention that meaningful social media encounters help your well-being. It appears that quitting Facebook entirely is much better for you.

And secondly, I suspect that – just like his defence of running false and malicious advertising by citing free speech – Zuck has an not-so-hidden agenda here. I’m sure Zuckerberg and his Facebook engineers weren’t oblivious to the fact that their changes to the algorithm would result in nicely segmented psychographic clusters that would be like catnip to advertisers – especially political advertisers. They were consolidating exactly the same vulnerabilities that were exploited by Cambridge Analytica.

They were building a platform that was perfectly suited to subvert democracy.

The Tourification of Our World

Who wouldn’t want to be in Venice? Gondolas drift by with Italian gondoliers singing “O Sole Mio.” You sit at a café savoring your espresso as you watch Latin lovers stroll by hand in hand on their way to the Bridge of Sighs. The Piazza San Marco is bathed in a golden glow as the sun sets behind the Basilica di San Marco. The picture? Perfect.  

Again, who wouldn’t want to live in Venice?

The answer, according to the latest population stats, is almost everyone. The population of Venice is one third what it was in 1970.

The sharp-eyed among you may have noticed that I changed the sentence slightly in the second version. I replaced “be” with “live.”  And that’s the difference. Venice is literally the “nice place to visit but I wouldn’t want to live there.”  

A lot of people do visit, well over 5 million a year. But almost nobody lives there. The permanent population of Venice has shrunk to below 60,000.

Venice has become tourified. It’s a false front of a city, one built for those who are going to be there for 48 to 72 hours. In the process, everything needed to make it sustainable for those who want to call it home has been stripped out. It has become addicted to tourist dollars — and that addiction is killing it.

We should learn from Venice’s example. Sometimes, in trying to make a fantasy real, you take away the very things needed to let it survive.

Perfection doesn’t exist in nature. Imperfections are required for robustness. Yet, we are increasingly looking for a picture of perfection we can escape to.

The unintended consequences of this are troubling to think about.

We spent a good part of the last century devising new ways to escape. What was once an activity that lived well apart from our real lives has become increasingly more entwined with those lives.

As our collective affluence has grown, we spend more and more time chasing the fantastical. Social media has accelerated this chase. Our feeds are full of posts from those in pursuit of a fantasy.

We have shifted our focus from the place we live to the “nice place to visit.” This distorts our expectations of what reality should be. We expect the tourist-brochure version of Venice without realizing that in constructing exactly that, we set in motion a chain of events resulting in a city that’s unlivable.

The rise of populist politics is the broken-mirror image of this. Many of us have mythologized the America we want — or Britain, or any of the other countries that have gone down the populist path.. And myths are, by definition, unsustainable in the real world. They are vastly oversimplified pictures that allow us to create a story that we long for. It’s  the same as the picture I painted of Venice in the first paragraph: a fantasy that can’t survive reality.

In our tendency to “tourify” everything, there are at least two unintended consequences: one for ourselves and one for our world.

For us, the need to escape continually draws our energies and attentions from what we need to do to save the world we actually live in, toward the mythologization of the world we think we want to live in. We ignore the inconvenient truths of reality as we pursue our imagined perfection.

But it’s the second outcome that’s probably more troubling. Even if we were successful in building the world we think we want, we could well find that built a bigger version of Venice, a place sinking under the weight of its own fantasy.

Sometimes, you have to be careful what you wish for.

This Election, Canucks were “Zucked”

Note: I originally wrote this before results were available. Today, we know Trudeau’s Liberals won a minority government, but the Conservatives actually won the popular vote: 34.4% vs 33.06% for the Liberals. It was a very close election.

As I write this, Canadians are going to the polls in our national election. When you read this, the outcome will have been decided. I won’t predict — because this one is going to be too close to call.

For a nation that is often satirized for our tendencies to be nice and polite, this has been a very nasty campaign. So nasty, in fact, that in focusing on scandals and personal attacks, it forgot to mention the issues.

Most of us are going to the polls today without an inkling of who stands for what. We’re basically voting for the candidate we hate the least. In other words, we’re using the same decision strategy we used to pick the last guest at our grade 6 birthday party.

The devolvement of democracy has now hit the Great White North, thanks to Facebook and Mark Zuckerberg.

While the amount of viral vitriol I have seen here is still a pale shadow of what I saw from south of the 49th in 2016, it’s still jarring to witness. Canucks have been “Zucked.” We’re so busy slinging mud that we’ve forgotten to care about the things that are essential to our well being as a nation.

It should come as news to no one that Facebook has been wantonly trampling the tenets of democracy. Elizabeth Warren recently ran a fake ad on Facebook just to show she could. Then Mark Zuckerberg defended Facebook last week when he said: “While I certainly worry about an erosion of truth, I worry about living in a world where you can only post things that tech companies decide to be 100 per cent true.”

Zuckerberg believes the onus lies with the Facebook user to be able to judge what is false and what is not. This is a suspiciously convenient defense of Facebook’s revenue model wrapped up as a defense of freedom of speech. At best it’s naïve, not to mention hypocritical. What we see is determined by Facebook’s algorithm. At worst it’s misleading and malicious.

Hitting hot buttons tied to emotions is nothing new in politics. Campaign runners have been drawing out and sharpening the long knives for decades now. TV ads added a particularly effective weapon into the political arsenal. In the 1964 presidential campaign, it even went nuclear with Lyndon Johnson’s famous “Daisy” Ad.

But this is different. For many reasons.

First of all, there is the question of trust in the channel. We have been raised in a world where media channels historically take some responsibility to delineate between what they say is factual (i.e., the news) and what is paid persuasion (i.e., the ads).

In his statement, Zuckerberg is essentially telling us that giving us some baseline of trust in political advertising is not Facebook’s job and not their problem. We should know better.

But we don’t. It’s a remarkably condescending and convenient excuse for Zuckerberg to appear to be telling us “You should be smarter than this” when he knows that this messaging has little to do with our intellectual horsepower.

This is messaging that is painstakingly designed to be mentally processed before the rational part of our brain even kicks in.

In a recent survey, three out of four Canadians said they had trouble telling which social media accounts were fake. And 40% of Canadians say they had found links to stories on current affairs that were obviously false. Those were only the links they knew were fake. I assume that many more snuck through their factual filters. By the way, people of my generation are the worst at sniffing out fake news.

We’ve all seen it, but only one third of Canadians 55 and over realize it. We can’t all be stupid.

Because social media runs on open platforms, with very few checks and balances, it’s wide open for abuse. Fake accounts, bots, hacks and other digital detritus litter the online landscape. There has been little effective policing of this. The issue is that cracking down on this directly impacts the bottom line. As Upton Sinclair said: “It is difficult to get a man to understand something, when his salary depends on his not understanding it.”

Even given these two gaping vulnerabilities, the biggest shift when we think of social media as an ad platform is that it is built on the complexity of a network. The things that come with this — things like virality, filter bubbles, threshold effects — have no corresponding rule book to play by. It’s like playing poker with a deck full of wild cards.

Now — let’s talk about targeting.

When you take all of the above and then factor in the data-driven targeting that is now possible, you light the fuse on the bomb nestled beneath our democratic platforms. You can now segment out the most vulnerable, gullible, volatile sectors of the electorate. You can feed them misinformation and prod them to action. You can then sit back and watch as the network effects play themselves out. Fan — meet shit. Shit — meet fan.

It is this that Facebook has wrought, and then Mark Zuckerberg feeds us some holier-than-thou line about freedom of speech.

Mark, I worry about living in a world where false — and malicious — information can be widely disseminated because a tech company makes a profit from it.