Metalhead: Black Mirror, Can It Happen?

Before we talk about the events in Metalhead, let’s flashback to when this episode was first released: December 29, 2017

In 2017, Boston Dynamics founder Marc Raibert took the TED conference stage to discuss the future of his groundbreaking robots. His presentation sparked a mix of awe and unease.

Boston Dynamics has a long history of viral videos showcasing its cutting-edge robots, many of which were mentioned during the talk:

Big Dog is a four-legged robot developed by Boston Dynamics with funding from DARPA. Its primary purpose is to transport heavy loads over rugged terrain.

Then there’s Petman, a human-like robot built to test chemical protection suits under real-world conditions. 

Atlas, a 6-foot-tall bipedal robot, is designed to assist in search-and-rescue missions. 

Handle is a robot on wheels. It can travel at 9 mph, leap 4 feet vertically, and cover about 15 miles on a single battery charge.

And then there was SpotMini, a smaller, quadrupedal robot with a striking blend of technical prowess and charm. During the talk, SpotMini played to the audience’s emotions, putting on a show of cuteness. 

In November 2017, the United Nations debated a ban on lethal autonomous weapons, or “killer robots.” Despite growing concerns from human rights groups, no consensus was reached, leaving the future of weaponized AI unclear.

Simultaneously, post-apocalyptic themes gained traction in 2017 pop culture. From the success of The Walking Dead to Blade Runner 2049’s exploration of dystopian landscapes, this pre-covid audience seemed enthralled by stories of survival in hostile worlds, as though mentally preparing for the worst to come. 

And that brings us to this episode of Black Mirror, Episode 5 of Season 4: Metalhead.

Set in a bleak landscape, Metalhead follows Bella, a survivor on the run from relentless robotic “dogs” after a scavenging mission goes awry. 

This episode taps into a long-standing fear humanity has faced since it first began experimenting with the “dark magic” of machinery. Isaac Asimov’s Three Laws of Robotics were designed to ensure robots would serve and protect humans without causing harm. These laws state that a robot must not harm a human, must obey orders unless it conflicts with the first law, and must protect itself unless this conflicts with the first two laws. 

In Metalhead, however, these laws are either absent or overridden. This lack of ethical safeguards mirrors the real-world fears of unchecked AI and its potential to harm, especially in situations driven by survival instincts. 

So, we’re left to ask: At what point does innovation cross the line into an existential threat? Could machines, once designed to serve us, evolve into agents of our destruction? And, most importantly, as we advance technology, are we truly prepared for the societal consequences that come with it?

In this video, we’ll explore three key themes from Metalhead and examine whether similar events have already unfolded—and if not, whether or not it’s still plausible. Let’s go!

Killer Instincts

Metalhead plunges us into a barren wasteland where survival hinges on outsmarting a robotic “dog”. Armed with advanced tracking, razor-sharp senses, and zero chill, this nightmare locks onto Bella, after her supply mission takes a hard left into disaster. 

The robot dog’s tracking systems are similar to current military technologies. Autonomous drones and ground robots use GPS-based trackers and infrared imaging to locate targets. Devices like Lockheed Martin’s Stalker XE drones combine GPS, thermal imaging, and AI algorithms to pinpoint enemy movements even in dense environments or under cover of darkness. 

With AI-driven scanning systems that put human eyesight to shame, it can spot a needle in a haystack—and probably tell you the needle’s temperature, too. Think FLIR thermal imaging cameras, which let you see heat signatures through walls or dense foliage, or Boston Dynamics’ Spot using Light Detection and Ranging (aka Lidar) and pattern recognition to map the world with precision. 

Lidar works by sending out laser pulses and measuring the time it takes for them to bounce back after hitting an object. These pulses generate a detailed 3D map of the environment, capturing even the smallest features, from tree branches to building structures.

One of the most unsettling aspects of the robot in Metalhead is its superior auditory abilities. In the real world, acoustic surveillance technology, such as ShotSpotter, uses microphones and AI to detect and triangulate gunfire in urban areas. While it sounds impressive, its effectiveness is debated, with critics including a study by the University of Michigan pointing to false positives and uneven results. 

Still, technology is quickly advancing in recognizing human sounds, and some innovations are already in consumer products. Voice assistants like Alexa and Siri can accurately respond to vocal commands, while apps like SoundHound can identify music and spoken words in noisy environments. While these technologies offer convenience, they also raise concerns about how much machines are truly able to “hear.”

This is especially true when advanced sensors—whether auditory, visual, or thermal—serve a darker purpose, turning their sensory prowess into a weapon.

Take robotics companies like Ghost Robotics, which have developed machines equipped with sniper rifles, dubbed Special Purpose Unmanned Rifles (SPURs). These machines, designed for military applications, are capable of autonomously identifying and engaging targets—raising profound ethical concerns about the increasing role of AI in life-and-death decisions.

Built for Speed

In this episode, the robot’s movement—fast, deliberate, and capable of navigating uneven terrain—resembles Spot from Boston Dynamics. 

Spot can sprint at a brisk 5.2 feet per second, which translates to about 3.5 miles per hour. While that’s fairly quick for a robot navigating complex terrain, it’s still slower than the average human running speed. The typical human can run around 8 to 12 miles per hour, depending on fitness level and sprinting ability. 

So while Spot may not outpace a sprinter, DARPA’s Cheetah robot can — at least on the treadmill. Nearly a decade ago, a video was released of this robot running 28.3 miles per hour on a treadmill, leaving even Usain Bolt in the dust.

But while the treadmill is impressive, the current record holder for the fastest land robot is Cassie—and she’s got legs for it! Developed by Oregon State University’s Dynamic Robotics Lab, Cassie sprinted her way into the record books in 2022, running 100 m in 24.73 seconds. 

While today’s robots may not yet match the speed, adaptability, and relentless pursuit seen in the episode, the rapid strides in robotics and AI are quickly closing the gap. Like the tortoise slowly gaining ground on the overconfident hare, these technological advances, though not yet flawless, are steadily creeping toward a reality where they might outrun us in ways we hadn’t anticipated.

Charged to Kill

At a pivotal point in the story, Bella’s survival hinged on exploiting the robot’s energy source. By forcing it to repeatedly power on and off, she aims to drain its battery. Advanced machines, reliant on sensors, processors, and actuators, burn through significant energy during startup.

Today’s robots, like Spot or advanced military drones, run on rechargeable lithium-ion batteries. While these batteries offer excellent energy density, their runtime is finite—high-demand tasks like heavy movement or AI processing can drain them in as little as 90 minutes

However, the latest battery innovations are redefining what’s possible and the automotive industry is leading the charge. Solid-state batteries, for example, offer greater capacity, faster charging, and longer lifespans than traditional lithium-ion ones. Companies like Volkswagen and Toyota have invested heavily in this technology, hoping it will revolutionize the EV market.

Self-recharging technologies, like Kinetic Energy Recovery Systems (KERS), are moving from labs to consumer products. KERS, used in Formula 1 cars, captures and stores kinetic energy from braking to power systems and reduce fuel consumption. It’s now being explored for use in consumer and electric vehicles.

Battery innovation is challenging due to several factors. Improving energy density often compromises safety and developing new batteries requires expensive materials and complex manufacturing processes.

Modern robots are pretty good at managing their power, but even the smartest machines can’t escape the inevitable—batteries that drain under intense demands. While energy storage and self-recharging tech like solar or kinetic systems may help, robots will always face the dreaded low-battery warning. After all, as much as we’d love to plug them into an infinite, self-sustaining energy source, the laws of physics will always say, “Nice try!”

Information Flow

When Bella throws paint to blind the robot’s sensors and uses sound to mislead it, her plan works—briefly. But the robot quickly adapts, recalibrating its AI to interpret new environmental data and adjust its strategy. Similarly, when Bella shoots the robot, it doesn’t just take the hit—it learns, retaliating with explosive “track bullets” that embed tracking devices in her body. This intelligent flexibility ensures that, even when temporarily disabled, the robot can still alter its approach and continue pursuing its objective.

In real life, robots with such capabilities are not far-fetched. Modern drone swarms, such as those tested by DARPA, can coordinate multiple drones for collective objectives. In some instances, individual drones are programmed to act as decoys or to deliberately draw enemy fire, allowing the remaining drones in the swarm to carry out their mission.

In October 2016 at China Lake, California, 103 Perdix drones were launched from three F/A-18 Super Hornets. During this test, the micro-drones exhibited advanced swarm behaviors, including collective decision-making, adaptive formation flying, and self-healing.

While the events in Metalhead are extreme, they are not entirely outside the realm of possibility. Modern robotics, AI, and machine learning are progressing at a staggering rate, making the robot’s ability to adapt, learn, and pursue its objective all too real. 

The advancements in sensors, energy storage, and autonomous decision-making systems could one day allow machines to operate with the same precision seen in the episode. 

So, while we may not yet face such an immediate threat, the seeds are sown. A future dominated by robots is not a matter of “if,” but “when.” As we step into this new frontier, we must proceed with caution, for once unleashed, these creations could be as relentless as any natural disaster—except that nothing about this will be natural.

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Reaching My Limit, Triathlon Training

Another beautiful day in Vancouver, but the weather is about to change. This ride was one I had to squeeze into an already packed weekend, so I made it an ambitious one.

Sometimes when I plan my ride, I focus entirely on the destination—never the journey there, and definitely not the journey back. But the journey back is often the hardest part. That’s where endurance happens. That’s where the training begins.

Going too far. To the limit. Must keep going.

There’s a moment in every long ride when you realize you’ve gone too far. You’re exhausted, miles from home, with no easy way out. No teleportation machine. No one to pick you up. You still have to pedal back.

I seek out that edge sometimes—not just in training, but in work and life. It’s in those moments, past comfort and deep in fatigue, that real decisions happen. Do you push through? Find a shortcut? Call home and admit you’re running late?

It’s a fitting metaphor. Whether in sport, creative work, or just navigating life’s responsibilities, we all hit that point where we wonder if we’ve taken on too much—gone too far. The question isn’t whether we’ll get tired—it’s what we do when we are.

Today, I’m riding from Trout Lake in East Van to the southern end of the Arbutus Greenway. I love this route—it cruises through undulating scenic city streets before easing onto a slightly calmer shared path.

But, as I mentioned, I had to squeeze this ride in. I got out later in the afternoon, right at peak traffic. Pedestrians, cyclists, cars—busy, busy. Another challenge to navigate.

Like all things, it comes back to the same question: Have I reached my limit? Or can I push through?

Enjoy the ride.

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How I’m Maintaining Fitness, Triathlon Training

Another beautiful day in Vancouver—cold, though. It’s just barely above freezing today. Still, any day in January without rain or snow? I’ll take it.

This week, I finally got around to tallying up all my metrics from 2024. Tracking data is something I genuinely enjoy, which is one reason I love triathlon so much—it’s basically an excuse to collect data. If I can quantify what I’m doing, it makes consistency feel so much easier. I bring that same philosophy to my creative work. Every day — or nearly every day — I track my creative writing and video creation the same way I track my workouts. I’m obsessed with my spreadsheets. 

Here’s how 2024 shaped up:

  • I swam 90,325 meters in 44 hours, 20 minutes, and 26 seconds (5% less than 2023).
  • I cycled 3,901.07 kilometers in 175 hours, 21 minutes, and 32 seconds (22% more than 2023).
  • I ran: 621.44 kilometers in 67 hours, 11 minutes, and 29 seconds (23% less than 2023).

The big jump in cycling is thanks to our new indoor bike, which I added to my routine last year—it made all the difference. As for swimming, I swam less because I spent extra hours in 2023 learning how to swim, so naturally, I didn’t log as much distance in 2024 because I didn’t have that huge learning curve. For running, I held back intentionally to avoid overdoing it and risking more injuries.

2024 was my sophomore year in triathlon. While I packed the calendar with races, I’d call it more of a “slump year” training-wise. But seeing the data laid out, I know I’ve built a solid foundation. This year, I want to build on that thoughtfully—not just by chasing bigger numbers. These annual stats are a nice way to reflect on the work I’ve put in, but they don’t tell the full story. What matters to me this year is how well I’m performing in training and races.

Take swimming, for example. For my birthday, my amazing wife got me a game-changing gift: FORM goggles. If you haven’t heard of them, they’re like a smartwatch built into your goggles. They show data like pace and stroke rate while you swim. Even cooler, they give feedback on things like head position while breathing and overall swim efficiency.

After my first swim with them, I got a score of 40 out of 100. Plenty of room for improvement, but I’m excited to see how much I can progress.

With that said, I’m heading into year three of this triathlon journey. While improvement is always a focus, the real priority is maintaining the habit. I don’t even think of triathlon as a hobby anymore—it’s just what I do.

Before my training plan officially kicks off in a few months, I’m taking this time to maintain my routine and base fitness. There is no point in tiring myself out. This is my no-pressure, fun part of the year, and I want to enjoy it. And I definitely want to do a weekend ride. So I’ve decided to explore some parts of the city that aren’t great for structured training but are worth a visit.

Today, I’m riding to the West End of Vancouver to check out some of the greenways, including the Comox-Helmcken Greenway. Thanks to this project, there’s been a 49% boost in cycling trips and a 35% decrease in car trips in the neighborhood. While the greenway was originally planned to stretch across the entire city, only the Comox phase has been completed so far. 

And since no ride into Downtown Vancouver is complete without detours, I got sidetracked by the demolition of the 115-year-old Dunsmuir building. It’s been a hotel, military barracks, and a shelter over the years, and now it’s making way for something new. From there, I’ll take a trip down the world-famous Granville Street.

Enjoy the ride.

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Bryan Cranston’s Advice That Every Writer and Job Seeker Needs to Hear

Bryan Cranston—you know, the guy who gave us Walter White—once shared some advice for actors going into an audition. But this advice felt bigger than just acting. He said: “know what your job is

At first, it sounds simple, almost too simple. But then he elaborates:

“I was going to auditions to try and get a job. That is not what you are supposed to do. An actor is supposed to create a compelling, interesting character that serves the text, you present it in the environment where you audition. And then you walk away. And that’s it. Everything else is outside your control, so don’t even think about it, don’t focus on that. You’re not going there to get a job. You’re going there to present what you do. You act. And there it is. And you walk away and there’s power in that.”

Cranston’s not saying “Don’t care about the outcome.” He’s saying, “Care about what you can control.” For him, it’s about crafting a character that serves the story. For us—whether we’re writers, marketers, or creators—it’s about honing our craft and delivering it with intention.

I remember a time when I was deep in job applications, obsessing over every detail, trying to predict what each company wanted. The constant second-guessing, the tweaking of synonyms and punctuations—it was exhausting. My job wasn’t to convince them I was perfect. My job was to show up and be myself—to present what I do best. 

The same rule applies when you’re already on the job. Showing up every day isn’t just about ticking off tasks or meeting deadlines. It’s about knowing what’s at the heart of your work. If you’re a writer, your job isn’t just to write—it’s to tell a story that connects. If you’re a marketer, it’s not just about ad campaigns—it’s about creating something that leads to action.

But here’s the thing—the pressure to get it “right” can mess with your head. You want the recognition, the results, the wins. That’s why Cranston’s advice feels so important. He’s saying: let go of what you can’t control. You can’t control how people respond to your performance, your draft, or your campaign. But you can control the effort and care you put into it.

So, how do you do this in real life? First, focus on the process. Instead of asking, “Will they like it?” 

Ask: “Am I proud of this? Does it serve the purpose?” 

Second, detach from the outcome. Present it and move on. 

And third, redefine success. It’s not just about landing the job or nailing the project—it’s about the growth that comes from the work itself.

Rejections sting. Constructive criticism can break me down. And negative comments are hard to ignore. But when you focus on what’s within your control, you start to find a different kind of power. You’re less tied to the highs and lows, and more grounded in the work you’re doing every day.

So, whether you’re pitching ideas, crafting stories, or designing campaigns, take Cranston’s advice: “Know what your job is.” Show up. Do the work. Let go of the rest. There’s freedom in that.

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My 2025 Goal: Balancing Triathlons, Writing, and Life

I turn 36 next week. Not old, but definitely older than I feel. People keep warning me that it’s only a matter of time before old age catches up and deals me the inevitable. Until then, I still have time to reach some old goals and start some new ones. 

Last year, I completed my first Olympic-distance triathlon—a goal that once felt impossible. This year, I’m aiming for my second one. My first goal was simply to finish, but now, I want to do better. I’ve already signed up for one in September. Since that’s still months away, I decided to add a shorter race earlier in the year for practice.

At first, I planned to race in BC’s interior, maybe one of the ones in the Okanagan. But since we recently adopted a new dog, I figured staying closer to home would be better. Last year, I did the North Shore Triathlon in North Vancouver, and I liked how small and manageable it was. It feels like the perfect race to sneak into the year without disrupting everything else.

So, here’s the plan: one sprint-distance race and one Olympic-distance triathlon in 2025. On top of that, I want to run a 10K and aim for a PR—ideally under 45 minutes. I’m also keeping an eye out for a swim- or bike-specific race. I think that’s enough to keep me active without burning out.

You see, it’s not just the training. That novel I keep talking about? Still happening. I might do a video update on it soon, but essentially, I’m working on it 30 minutes a day. That means, when I’m working on it I’m not really getting any deep work. It’s very fragmented. But honestly, the whole project has been built this way. 

At this point, consistency is the only way forward. A little every day adds up, just like training. Of course, there will come a time when I need to push harder and finish it, and that day’s coming fast. For now, though, I’ve got good momentum.

Between the novel, training, work, eating, sleeping, and everything else, life’s busy. And let’s not forget about making videos. Videos tie all of this together. This year, I want to take you on a more immersive journey—especially with my triathlon training. I also want to showcase the sights and sounds of Vancouver. Ever since I started riding my bike, I’ve found a new appreciation for this city that I love, and I want to share it with you.

Consider this the first episode: a weekend ride from Science World to the Stanley Park loop, one of my favorite routes. It rained in the morning, but by the time I got out, it turned into a beautiful January day. Enjoy the ride.

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Rescue Dog Origin Story: How Petey Found His Forever Home

His mother was a Boston Terrier. His father, a Chinese Crested. He’s unique. Floppy ears. Black lips. Short, wiry hair. Big, Steve Buscemi eyes. He’s one of a kind. 

Before he was Petey, he was Pickles, and before he was Pickles, he was Colton. Colton was born in a drug house and passed off to an elderly man with cognitive impairments who couldn’t care for him. Eventually, he was abandoned.

But Colton’s story doesn’t end there. 

One fateful day, a good samaritan found him wandering the streets near 41B St and Delta Port Way in Ladner—the middle of nowhere. They brought him to the shelter, where his painful past was uncovered. His original owner came forward, explaining that he simply couldn’t care for Colton anymore. With what we hoped was regret and remorse, they chose not to claim him. Instead, they left him behind. Colton was now Pickles. The shelter rebranded him because, apparently he’s like a piglet… pickles? 

But Pickles was struggling. At the shelter, the trauma consumed him. He barked incessantly, jumped against the walls of his kennel, and snapped at staff members in frustration. 

One day a family arrived to meet him— but they brought children with them, and for Pickles, that was too much. His fear and anxiety overwhelmed him, and he shut down. He avoided the kids and kept his distance, and the family realized that he wasn’t the right fit for them. The shelter staff was left with heavy hearts, unsure what would come next for Pickles.

Pickles’ behavior was becoming more unpredictable, and the staff had tried everything they could, but nothing seemed to help. They began discussing behavioral euthanasia. It seemed like there was no way out for Pickles, no way for him to escape the endless cycle of fear and frustration.

Before that decision could be made, That’s when we walked in.

Our journey to adopt Petey wasn’t instant—but we were determined. After all, we fell in love with him right away. We visited him at the shelter for two weekends in a row—Saturdays and Sundays. Every time we saw him, we could feel the stress and anxiety, but we could also sense a happy, fun-loving guy. We saw potential. It was clear he just needed someone who understood him, someone who had the patience for him. 

My wife and I are uniquely equipped to adopt him. But we also knew it wouldn’t be easy. The staff reminded us that it wouldn’t be easy, just in case there was a moment we thought it would. This kept us grounded and it helped us prepare for our future together. 

After those weekend visits, we brought him home for a 4-hour trial run on a Thursday afternoon, just to see how he’d settle in. It was clear he was ready for a change. For my wife and I who lost our old dog, Michael only a year ago, just having a dog in our apartment felt like our home had been given new life. The visit went so well. He played. Cuddled with us. And went for a couple of walks. 

While initially, the shelter recommended that it would benefit Petey to have a couple of home visits before being fully adopted, seeing how well he did with us, they made plans to streamline our process. We were hoping to bring him home in two weeks for the Christmas holidays, as that will be when we will both have time off from work to get him settled. 

Then we returned to the shelter the following Saturday, two days after his home visit, thinking it was just another playdate. But the staff had other plans. They could see how he was struggling at the shelter, how miserable he was in comparison to how well he was doing with us. They asked us straight up, “Can you take him today?” 

We weren’t necessarily ready for him that day. We had plans that weekend and we still needed to proof the house for him. But hearing that he was struggling in the shelter, there was no way we could leave him there for another day let alone another week for our convenience. 

And just like that, Petey came home with us.

From the moment he entered our home, it was as if everything clicked. He knew he was in his new home. Many rescue dogs are nervous or even standoffish when they first meet their new owners, but not Petey. Perhaps guided by the spirit of Michael, he was immediately comfortable, curling up in our laps and making himself home. We knew we needed to train him and there was a lot of work ahead, but one thing was clear: he knew he had found his family.

This is Petey’s story. A dog who escaped a dire situation, and now, he’s ready to take on the world… but first, he needs to get over his trauma. This is the start of his journey to being the best dog he can be. 

Stay tuned for more updates on Petey! 

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Hang the DJ: Black Mirror, Can It Happen?

Before we talk about the events in Hang the DJ, let’s flashback to when this episode was first released: December 29, 2017

On September 25, 2017, Prince Harry and Meghan Markle made their debut as a couple at the Invictus Games in Toronto. Their relationship broke new ground for the British royal family, sparking discussions on cross-cultural relationships and the challenges of maintaining privacy in the spotlight.

Meanwhile, dating apps surged in popularity, with a Stanford study revealing that 39% of couples are meeting online on platforms like Tinder and Bumble. The Tinder Gold’s “Likes You” feature allowing users to see who already swiped right on them, pushed the app’s popularity even further. 

At the same time, Bumble expanded beyond romance into professional networking and friendship with Bumble BFF and Bumble Bizz. Yet, the rise of digital matchmaking wasn’t without critique. Studies highlighted its impact on mental health, with terms like “ghosting” and “breadcrumbing” capturing the emotional toll of algorithmic dating.

In 2017, Elon Musk and Mark Zuckerberg clashed over the future of artificial intelligence, with Musk warning about AI’s potential existential risks and advocating for proactive regulation, fearing AI could evolve beyond human control. Zuckerberg on the other hand was optimistic about AI’s potential to improve lives, emphasizing that responsible innovation would outweigh its risks. 

The idea that reality could be a simulated construct gained significant media coverage in 2017, partly due to some high-profile endorsements. Elon Musk and other prominent figures suggested that the odds of us living in a “base reality”— the original, unaltered reality from which all other realities might stem — are minimal, given the rapid advancement of simulations and AI.

And that’s what brings us to this episode of Black Mirror, Episode 4 of Season 4: Hang the DJ. 

As Frank and Amy navigate the rigidly controlled world of The System, their budding connection forces them—and us—to question the purpose of algorithms in matters of the heart. While The System claims to optimize matches and ensure “perfect” relationships, it also strips away autonomy, leaving users trapped in a cycle of dictated romances.

So we ask: Can technology truly understand the complexities of human connection? At what point does relying on algorithms to find love begin to undermine the very nature of intimacy and self-discovery? Are we, in our quest for compatibility, sacrificing the serendipity that makes relationships meaningful?

In this video, we’ll explore three key themes from Hang the DJ and examine whether similar events have happened—and if they haven’t, whether or not they are still plausible. Let’s go! 

Data and Dating

Hang the DJ unfolds within a seemingly idyllic yet tightly controlled dating system, where Frank and Amy are paired together for a pre-determined length of time, 12 hours. Their compatibility, like that of all users, is calculated through an extensive series of timed relationships, generating data to improve the algorithm. The goal? To find each user their ideal match.

The collection of emotional experiences and connections aims to reduce love to a science, yet it simultaneously raises doubts about the role of choice in human connection. 

The evolution of dating apps like Tinder has sparked debates around fairness, bias, and authenticity in matchmaking. Tinder’s once-secretive algorithm, “Elo score” ranked users by perceived attractiveness and desirability, sparking allegations of discrimination. Critics noted that minority users often received lower scores, reducing their visibility to potential matches—a practice accused of perpetuating systemic biases.

Relying on behavioral tracking, these platforms analyze user actions such as swiping patterns and response times to improve match recommendations. 

Research shows that women swipe right only 30% of the time, and 20% reject over 80% of male profiles. In a sample of 100 male profiles, just one was liked by more than 80% of women, while 38 were universally disliked. These statistics highlight the competitive nature of app-based dating, with women often feeling overwhelmed by message volume (54%), while men report frustration from receiving few responses (64%).

So how do you fight against an artificial intelligence that is giving you a disadvantage on the dating market? You use AI, of course. Tools like Rizz AI and Wing GPT help craft profiles and provide conversation tips. For example, Rizz AI is a chatbot that generates conversation starters or witty replies.

Photo-analysis platforms like PhotoFeeler suggest improvements to profile pictures, boosting user engagement rates. However, these systems only prioritize surface-level appeal, reinforcing beauty standards at the expense of authenticity.

The line between trust in humans and reliance on technology is increasingly blurred, especially as dating and intimacy evolve into processes mediated by digital tools. With online dating becoming more unpredictable and concerns about safety growing in the wake of movements like #MeToo, technology has stepped in to provide checks and balances.

One notable area is consent, where apps like We-Consent and LegalFling offer clear, timestamped records of agreements, securely stored on blockchain. 

Did she consent to intercourse? With technology now there is indisputable proof. But while these tools simplify the logistics of consent, they leave little room for the emotional complexity that often accompanies these situations.

Swiping apps and algorithmic matchmaking have left many feeling overwhelmed, uncertain, and even distrustful. Concerns about rejection, compatibility, and navigating the nuances of communication have led to a growing demand for tools that address these anxieties directly.

The anxiety extends beyond the initial stages of dating. Maintaining communication in a relationship can also be daunting, leading couples to turn to apps like Maia, which provides voice-guided emotional check-ins, offering real-time support during tense moments.

Then there are apps like Smitten that incorporate mini-games like “Lie Detector” or compatibility quizzes to break the ice and create memorable interactions. These playful elements mirror trends in broader tech—like how Duolingo gamifies language learning—and can make dating feel approachable.

Much like Spotify’s approach to curating playlists based on your listening patterns, dating apps analyze your preferences—whether it’s swiping habits or skipping songs—to refine their suggestions over time. 

However, just as Spotify occasionally suggests a song that doesn’t resonate, dating algorithms can misfire, presenting matches that feel disconnected or are derivatives.

In Hang the DJ, AI takes the concept of algorithmic matchmaking to an extreme. Our surrendering to algorithms reflects the growing trust—and trepidation—we place in technology to shape deeply personal experiences. Because of AI’s relentless ability to learn and curate, we may indeed find ourselves echoing the sentiment: Hang the DJ, for the algorithm knows better than we do, and will no longer take requests.

Expiration Date

Because every relationship in Hang the DJ comes with a set expiration date, instead of living in the moment, the characters are often consumed by the knowledge of how and when it will end. For Frank and Amy, this creates vastly different but equally isolating experiences.

Frank endures a long-term relationship that feels like a prison sentence, with no connection or joy to sustain it. Meanwhile, Amy is caught in a revolving door of short-lived partnerships. By imposing strict limits, the system denies its participants the ability to fully engage, leaving them waiting—not for love, but for the clock to run out.

This theme mirrors modern dating dynamics, particularly the incorporation of time-sensitive features in dating apps. For instance, apps like Happn, Hinge, and Tinder employ mechanisms such as expiring matches, boosts, or time-sensitive notifications to create urgency. 

Happn’s location-based model even introduces real-world encounters into the mix, encouraging users to act swiftly before potential connections vanish. Similarly, Tinder’s “Boost” feature amplifies a profile’s visibility for a limited window, leveraging scarcity to drive engagement. Additionally, eHarmony introduced an AI-driven feature that suggested optimal times for users to communicate.

These tools aren’t implementing anything innovative per se, after all, human behavior is influenced by deadlines. For example, studies show that time constraints in speed dating foster initial attraction by prioritizing first impressions. 

Albeit they are manufactured for drama, reality shows like Married at First Sight and Love is Blind are interesting samples of these experiments as they test the concept of expedited relationships. However, success rates vary. 

Across 17 completed seasons of Married at First Sight, 69 couples have been matched. On “Decision Day,” 38 couples (55%) agreed to stay married. However, over two-thirds of those couples later divorced, filed for divorce, or publicly announced their separation. By August 2024, only 11 couples remained married, resulting in a long-term success rate of 15.9%.

The “seven-year itch,” backed by U.S. Census Bureau data, highlights that marital dissatisfaction peaks around the eight-year mark. About half of all first marriages end in divorce, and roughly 46% of marriages don’t last 25 years. On average, couples who divorce separate after seven years of marriage and finalize the divorce about a year later. For those who remarry, it typically happens around four years after their previous marriage ends.

During the COVID-19 pandemic, divorce rates spiked as couples grappled with the challenges of extended time together. In early 2020, divorce consultations increased by 50%, underscoring how prolonged proximity and external pressures can escalate conflicts and make relationships feel stifling.

Interestingly, studies on short-term sexual relationships suggest the awareness of a time limit reduces emotional attachment but can intensify physical intimacy. A survey by SELF magazine asked over 2,000 single women aged 18 to 64 about their experiences with casual sex. The results showed that 82% had at least one casual encounter, and only 19% expressed regret about it.

Modern relationships are often shaped—and strained—by invisible deadlines. These pressures, whether from dating apps, cultural milestones, or societal expectations to marry by a certain age, intensify the tension between savoring the present and bracing for the end.

Such time-bound systems can guide us toward action or trap us in hurried choices that lead to regret. Dating apps, for instance, don’t just facilitate connection—they frame it, shaping how and when we fall into or out of sync with others. Meanwhile, the fear of impermanence and unmet milestones feeds a cycle where love and time feel forever at odds.

Dangerous Devotion

In Hang the DJ, the matchmaking System promises a 99.8% success rate.

As other couples leave the System in blissful unions, the contrast deepens Frank and Amy’s growing skepticism about the algorithm’s efficacy. Their shared frustrations eventually lead them to rebel against the rigid rules, culminating in their decision to challenge the System’s authority and flee. Perhaps concluding the final test to demonstrate their compatibility. 

In modern relationships, we are often encouraged to surrender to a process—whether guided by a system, a coach, or a higher power. Before making a vow in marriage, we first commit to the process itself. However, this openness also exposes us to risks, making us susceptible to bad actors who may exploit our trust, accumulate power, and cause harm.

Among the most notable relationship coaches and frameworks is the Gottman Method, developed by Drs. John and Julie Gottman. This method emphasizes communication, conflict resolution, and building trust through tools like the “Sound Relationship House,” which consists of seven levels: building love maps (understanding each other deeply), sharing fondness and admiration, turning toward each other for support, maintaining a positive perspective, managing conflict constructively, making life dreams come true, and creating shared meaning through rituals and goals. 

Contrasting this research-backed methodology are controversial figures like Andrew Tate and Karla Elia. Tate’s teachings promote hyper-masculinity and dominance, often criticized as toxic and harmful, while Elia’s advice on TikTok advocates for transactional relationships that prioritize financial support over emotional connection by addressing personal wants on the first date. The rise of these figures is partly fueled by algorithms on platforms like TikTok and YouTube, which favor engagement over content quality.

Cults like NXIVM and OneTaste exploit these same vulnerabilities under the guise of empowerment. NXIVM’s promises of self-improvement concealed abusive practices, while OneTaste’s focus on “orgasmic meditation” led to allegations of manipulation and exploitation. 

Similarly, the Twin Flames Universe preyed on its followers’ desire for love, encouraging obsessive behaviors in pursuit of “destined soulmates.” These examples underscore how systems of control can distort genuine emotional connections, much like the matchmaking System in Hang the DJ.

When Frank and Amy are given a second chance at romance, they decide to avoid looking at the expiration date, allowing their relationship to flourish organically.

However, Frank, consumed by curiosity and doubt, breaks the promise. In doing so, he alters their timeline, turning what might have been a chance for something meaningful into a doomed, shortened experience.

Technology increasingly governs how people commit to higher powers by reinforcing accountability through data and automation. However, this reliance on technology often creates pressure to maintain consistency, with lapses leading to feelings of neglect or failure. 

This episode paints a picture of love reduced to data points. In the real world, dating apps already deploy algorithms to analyze preferences, calculate compatibility, and influence decisions. Innovations like simulations, gamified matchmaking, and AI companions hint at a future where love feels both eerily orchestrated and profoundly uncertain. Yet, unlike the utopian undertones of Hang the DJ, where rebellion against the system sparks genuine connection, real-life algorithms often lack the nuance to capture human complexity.

As we inch closer to that future, the question lingers: will these tools guide us toward deeper intimacy or imprison us in an endless loop of swipes and time limits? But perhaps, as the episode reminds us, defying the rules and trusting our humanity may still lead us to our most meaningful connections.

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Getting Through a Tough Creative Year

2024… the end of another year. If I was to choose one word to sum up this year, it would be “recovery”. I started twenty twenty-four beaten down, sad, and disenchanted. 

Losing my dog and best friend, Michael, at the end of 2023 hit me hard. My days were thrown into chaos, and my identity was seemingly ripped from my very being. Life felt like it was in a daze, and, in many ways, I was just going through the motions, through the process of everything else I had going on in my life: work, my creative projects, and my triathlon training. 

Yes, at least I had my triathlon training. I signed up for three in 2024 to keep myself busy — to avoid addressing the grief. But… even as I tried to find solace in my training, 2024 had another twist. 

It happened during a really busy week at work, as many things do, and I felt kind of stressed that day while heading to the office. I crashed my bike. Just a silly mistake that sent me over the handlebars, but I ended up injuring my right arm. Suddenly all the determined progress that I wanted to make in my training evaporated. All the goals I had going into my second race of the year were gone. I was left to re-strategize to reset my expectations. I was left to recover, to return to the ground floor and work my way back up again. 

Yes, work became unpredictable, and then one day it ended. Suddenly I found myself like so many other tech workers, laid off. It seems like 2024 was trying to teach me something. It was trying to tell me that anything that I took for granted. My best friend, my physical body, my mental well-being, my employment, my creative motivation, all of that could be taken away in a way that was out of my control. These things don’t last forever. 

I pushed myself to get through all of these struggles. I focused on chipping away at my creative work. The big novel I keep talking about. The drawings I committed to. This very YouTube channel has been the foundation for my creative production. Not long after I did find a new gig.

This year, although I found myself back on the start line, I wasn’t without tools, experiences, and support. Climbing back up, I realized that, although the voices in my head were telling me what a failure I was and how everyone disliked me, I consistently found evidence, however big or small, to prove them wrong, and that was assuring. 

Recovery. It’s not without its setbacks. As you start to improve, it’s tempting to push yourself—test your limits, move faster, do what you used to be able to do. But then, you overdo it and repeat the same mistakes. You feel foolish, even frustrated. That inner critic? It suddenly gets louder.

Creativity, like fitness, like work, like relationships ebbs and flows. Success is followed by a hangover. Hard work needs to follow rest. Failure leads to lessons. 

As twenty-twenty-four ends, I find myself back on the steps, heading back up to where I intended to be. I’m rebuilding my life, I’m getting stronger, I’m getting better. 

But in many ways, the person I am has stayed the same. I realize what I still want to do. I still want to create. I still want to write and make videos, draw, and race my triathlons a few times a year. Most importantly, I want to have a dog. As far as all ambitions go, having a dog and raising a dog that shows me that I can be the type of person it sees in me, has been the thing that I have been the most proud of. 

It’s been 1 year since my boy Michael passed away. On his one-year death day, we were scheduled to meet with a little rescue dog by the name of Peter “Petey” Pickles. My wife and I fell in love with him immediately. We have just adopted him into our home, his forever home. And we really look forward to having him in our lives. And as all ambitions go… this is the one that I’m prioritizing. 

2025 is going to be crazy! We have so much to look forward to. So much left to accomplish. And we have recovered enough to attack this new year, one day at a time.

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My Key Takeaway from Discipline is Destiny by Ryan Holiday (For Writers and Creatives)

Having completed “Discipline is Destiny” by Ryan Holiday (Amazon), I want to highlight a couple chapters that truly stood out.

Just Show Up, Just Work

Show up.
… when you’re tired.
… when you don’t have to.
… even when you have an excuse.
… even if you’re busy.
… even if no one will notice.
… even if it’s beating you down.

Once you start, you can build on it. Once you act, momentum can grow. Showing up is the key—because when you show up, you can do.

Over a nearly 60-year career, Joyce Carol Oates wrote novels, stories, poetry, plays — millions of words. If she can show up every day, you can get on the treadmill. Pick up the violin. Answer emails. Write a scene. Lift some weights. Cross one thing off your list. 

It doesn’t matter what it is—all aspects of life improve when you work on them daily.

The Greeks have a word for this: philoponia—a love of hard work.

So, show up. Do the work. Not for perfection, but for progress. The grind pays off.

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Crocodile: Black Mirror, Can It Happen?

Before we talk about the events in Crocodile, let’s flashback to when this episode was first released: December 29, 2017

On October 1, 2017, avid gambler, Stephen Paddock fired from his room in Mandalay Bay Casino, killing 60 people and injuring over 400 concertgoers, marking the Las Vegas shooting as the deadliest mass shooting in U.S. history. Although his motives remain unknown, eyewitness accounts and hotel surveillance footage played key roles in reconstructing events and tracking Paddock’s actions.

In February 2017, the Delphi Murders shocked Indiana when two teenage girls, Abigail Williams and Liberty German, were found dead following a hike. Liberty had managed to capture a photograph and audio recording of a man they encountered on the trail just before the tragedy, leaving behind crucial evidence that became central to the investigation.

One notable case involving the importance of witness testimony and technology was the 2016 Philando Castile Shooting, which gained national attention when Castile’s girlfriend, Diamond Reynolds, livestreamed the aftermath of the shooting on Facebook. Her video testimony went viral, contributing to the debate about police brutality and racial profiling. While Officer Jeronimo Yanez was ultimately acquitted, the case illustrates how digital witnesses can influence public discourse and investigations.

And that’s what brings us to this episode of Black Mirror, Episode 3, Season 4: Crocodile. 

According to critics and the creator of Black Mirror, Charlie Brooker — the title holds two significant meanings. Originally, the episode’s concept revolved around a virtual safari, where some passengers experience a serene ride while others are attacked by a crocodile, leaving them traumatized. This reflects how different people carry their past experiences through life, even though they are going through seemingly similar events. 

The title also refers to “crocodile tears,” symbolizing feigned remorse while continuing on a destructive path. This duality captures the episode’s central theme of guilt and deceit, where technology and memory tracking uncover hidden truths, showcasing the devastating consequences of evading accountability.

In this video, we’ll explore three key themes from Crocodile and examine whether similar events have happened—and if they haven’t, whether or not they are still plausible. Let’s go! 

The Illusion of Escape

In “Crocodile,” the episode opens with Mia and her boyfriend Rob navigating the aftermath of a tragic accident. What begins as a night of reckless fun turns into a nightmare when they accidentally kill a cyclist. Panicked and desperate to avoid prison, they make a chilling decision—to hide the body and move on with their lives.

Years later, Mia has built a successful career and family, but the weight of guilt lingers just beneath the surface. When Rob reappears, intent on confessing to clear his conscience, Mia’s instinct for self-preservation takes over, leading her down a darker path. The illusion of escape, so carefully constructed through denial and deceit, begins to unravel as Mia resorts to increasingly desperate measures to cover her tracks.

According to the National Highway Traffic Safety Administration, from 2017 to 2021, an average of 883 cyclists per year were killed in police-reported traffic crashes in the U.S. 

The conversation around a tragic cycling accident immediately brings to mind the death of Columbus Blue Jackets player Johnny Gaudreau and his brother Matthew, who were struck by a drunk driver, 43-year-old Sean Higgins on Aug 29, 2024. According to records obtained by NBC Philadelphia, Higgins had a lengthy history of unsafe driving.

While culprits like Higgins stayed at the scene of the crime, many didn’t… resulting in a great effort to find the suspect and bring them to prosecution. 

Hit-and-run incidents significantly contribute to fatalities among vulnerable road users. In 2021, 23% of cyclist deaths involved a hit-and-run driver. Pedestrians are even more at risk, with 62%.

In February 2021, Robert Maraj, the father of rapper Nicki Minaj, was killed in a hit-and-run accident in Long Island, New York. The driver, Charles Polevich, fled the scene. In an attempt to evade responsibility, Polevich hid his car in his garage. Despite his efforts, police were able to track him down using surveillance footage and he was arrested and later pleaded guilty to charges related to leaving the scene of a fatal accident.

According to numerous studies, it is estimated that only 8-10% of hit and run cases are solved. With the number of hit-and-runs increasing in the US annually by 7.2% since 2009. 

The Vorayuth Yoovidhya hit-and-run case gained widespread attention in Thailand in 2012 when Yoovidhya, heir to the Red Bull fortune, fatally struck a police officer with his Ferrari

After fleeing the scene, he avoided prosecution for years, fueling public outrage over his wealth and privilege. The case was reopened in 2020, leading to an eventual arrest warrant. In April 2022, Yoovidhya was reportedly apprehended, underscoring how wealth and influence can delay but not necessarily prevent accountability.

Yes, while the wealthy and powerful can use their status to evade justice, what about those less fortunate? They must act quickly, devise elaborate plans to outsmart technology tracking them, and weave intricate lies without becoming ensnared in their own deception.

In 2018, Chris Watts murdered his pregnant wife, Shanann, and their two daughters in Colorado. Initially, he reported them missing and made public pleas for their return. However, inconsistencies in his story led investigators to suspect foul play. Watts eventually confessed to the murders and was sentenced to life in prison without parole. 

Similarly, Jodi Arias was convicted of murdering her ex-boyfriend, Travis Alexander, in 2008. Arias initially denied involvement, then claimed self-defense after photos and DNA evidence placed her at the scene. Despite her manipulation of the narrative, she was convicted of first-degree murder in 2013.

Although it might seem impossible for anyone to evade the law after a crime as gruesome as murder, according to the 2017 FBI’s Uniform Crime Reporting (UCR) data, approximately 62% of homicides in the U.S. are solved. Which means that 38% of cases remain unsolved, but advances in DNA and forensic technology can still lead to convictions in cases years later.

The Golden State Killer case, which had been cold for over 40 years, was finally solved in 2018 with the arrest of Joseph James DeAngelo. Between 1974 and 1986, DeAngelo committed at least 13 murders, 50 rapes, and over 100 burglaries across California. 

In 2018, investigators uploaded DNA from the Golden State Killer’s crime scenes to GEDmatch, a public genetic database used by individuals seeking to trace their ancestry.

Using this database, authorities were able to identify distant relatives of the killer. By building a family tree and cross-referencing with other details (such as locations where crimes occurred), they eventually narrowed the search down to Joseph DeAngelo.

His arrest was a landmark moment in forensic science, demonstrating how advancements in DNA technology can solve even the longest-standing cases. DeAngelo later pleaded guilty and was sentenced to life in prison.

Just like in Crocodile, where Mia’s actions lead to more crimes in an attempt to cover up the initial one, real-world cases show that the more someone tries to escape responsibility, the more entangled they become. Each new lie or action increases the risk of leaving behind evidence.

Yes, while there may be a 40% chance of getting away with murder, a more precise way to frame this is that there’s a 40% chance of getting away with it today. Advances in forensic science, like DNA technology and digital surveillance, continuously reduce the window of opportunity for criminals to evade justice, meaning that over time, the likelihood of getting caught increases significantly.

Layers of Investigation

In Crocodile, Shazia, an insurance investigator, is on a mission to establish who’s responsible for an accident involving a man and a pizza vending machine. Using the “Recaller” device, which retrieves memories from witnesses, she goes deeper into their recollections, unearthing details about the seemingly minor incident. 

Like digital forensics, authorities use a range of advanced technologies to catch suspects trying to evade justice. 

The first is surveillance footage from CCTV cameras, especially in urban areas, highways, and near businesses. This tool is critical in capturing vehicles or individuals fleeing crime scenes.

After the twin bombings during the Boston Marathon on April 15, 2013, authorities combed through hours of footage from cameras near the race’s finish line. A breakthrough came when two brothers were spotted placing backpacks at the scene just before the explosions. The FBI released images of the suspects to the public, which helped confirm their identities.

According to the Insurance Information Institute (III), dashcams provide clear, indisputable evidence, helping to resolve conflicts quickly. In Russia, where fraudulent claims are prevalent, dashcam use is widespread, reducing fraud by over 50%

For example, some scammers deliberately throw themselves onto car hoods or cause rear-end collisions, hoping to extort money from the driver or win a fraudulent insurance claim. Dashcam footage serves as critical proof to defend against such scams.

Installed on police vehicles or fixed locations such as traffic lights or toll booths, Automatic License Plate Readers (ALPRs) are a powerful tool for law enforcement, allowing them to scan and record the license plates of passing vehicles. 

A routine stop at a gas station in Indianapolis quickly escalated into a frantic hunt when a car thief sped off with a six-month-old baby still in the back seat. As panic set in, law enforcement scrambled to track the stolen vehicle. Using automatic license plate readers (ALPRs), officers were able to trace the car’s movements across the city. Hours later, the vehicle was found abandoned, and to everyone’s  relief, the baby was safely reunited with the family, unharmed. 

Law enforcement agencies frequently rely on cell phone data and GPS tracking to pinpoint the whereabouts of suspects and connect them to crime scenes. Phone records provide critical timestamps, while GPS tracking logs exact locations, creating a digital trail that’s nearly impossible to erase.

The case of Timothy Carpenter centers around a series of armed robberies that took place in Michigan between 2010-2011. Carpenter was convicted largely based on cell tower location data, which tracked his movements and placed him near the scenes of the crimes. This data was obtained by law enforcement without a warrant, leading to significant legal debates regarding privacy rights and the Fourth Amendment.

Not only can law enforcement scan your license plate or track your cell phone signals, they have the capability to recognize your face. In China, facial recognition technology has become widespread and integrated into daily life, making it a critical tool for catching criminals. 

A famous case occurred in 2018 when a man wanted for economic crimes, identified as Mr. Ao, was caught at a Jacky Cheung concert attended by over 60,000 people in Nanchang. 

Facial recognition cameras at the event identified him as a suspect as he was entering the stadium, leading to his immediate arrest by local police. The use of this technology in public spaces, combined with China’s vast network of surveillance cameras, has enabled authorities to catch fugitives even in large crowds.

The list of tools available to investigators is growing, and many of them weren’t even originally designed for law enforcement. These are platforms already in use and accessible to the public.

In 2015, a Canadian woman named Nathalie Blanchard was on long-term disability leave due to depression, which her insurance company was covering. However, when she posted pictures of herself vacationing in sunny destinations, attending parties, and engaging in leisure activities on her Facebook profile, her insurer became suspicious. 

Her insurance provider, Manulife investigated her claim and subsequently cut off her benefits, citing her social media posts as evidence that her disability was not as severe as claimed. Blanchard sued, stating that these activities were part of her doctor’s advice to improve her mental health. But this case showed how insurers are using every means in their arsenal to investigate fraud claims.

Alibis crumble, liability expands, and the more layers an investigation uncovers, the harder it becomes for criminals to evade justice. Whether through digital records, forensic analysis, or social media investigations, law enforcement are using every technique available to identify, locate, and apprehend suspects.

The Witness Effect

When Shazia uses the “Recaller” on Mia, her past crimes come dangerously close to being exposed. In a desperate bid to silence anyone who could implicate her, Mia kills the investigator, her husband, and her infant child. However, her downfall comes when she overlooks Codger, the family guinea pig, whose memories are later harvested by authorities to uncover the truth.

The Recaller brings to mind a certain machine used during investigations — the lie detector test — polygraph machines. Invented in the 1920s the polygraph test has been a staple of modern investigations and played pivotal roles in television crime shows. 

But unlike the “Recaller”, polygraphs are unreliable because they measure physiological responses like heart rate and perspiration, which can be triggered by emotions such as anxiety rather than deception. This leads to false positives, where truthful individuals are flagged as deceptive, and false negatives, where liars go undetected. Courts often exclude polygraph evidence due to these issues.

Much like polygraphs, photographic memory, aka “eidetic memory,” is a controversial concept. While some people claim to have the ability to recall images, sounds, or objects in great detail after only brief exposure, scientific evidence supporting the existence of true photographic memory is limited.

Most researchers agree that while some individuals may have exceptional memory skills, they don’t possess a literal photographic memory. Many people who claim or appear to have “photographic memory” usually focus on specific areas they’ve practiced or are interested in, like detailed visual scenes, numbers, or structured information like music or maps.

One well-known person who claims to have photographic memory is Stephen Wiltshire, a British architectural artist. Wiltshire, who is on the autism spectrum, demonstrates his ability by memorizing vast cityscapes after brief observations, then accurately reproducing them in intricate detail. 

In a famous example, he viewed the skyline of Tokyo from a helicopter for a short period and then created an enormous, precise drawing of the entire landscape on a large canvas without further references. 

In Crocodile, we see Shazia opening a bottle of beer and playing some background music during her interview to help activate the witness’s sensory recall and jog their memories. While this tactic may seem odd, there has been numerous evidence of investigation using this approach. 

The reason this approach is effective is because sensory experiences often evoke emotions. A song might remind you of a significant life event, such as a first dance or a breakup, because it carries emotional weight, making the memory more vivid.

The Hillsborough disaster occurred on April 15, 1989, during an FA Cup semi-final match between Liverpool and Nottingham Forest at Hillsborough Stadium in Sheffield, England. A crush in the overcrowded standing pens resulted in the tragic deaths of 97 people, with hundreds more injured. This disaster, caused by poor crowd control and inadequate safety measures, became one of the worst stadium tragedies in British history. 

During a re-investigation years later, investigators employed sensory recall techniques to help survivors and witnesses retrieve memories of that day. Survivors were encouraged to focus on sensory details like sounds, smells, and specific visual imagery, helping clarify the chaotic events. For instance, auditory triggers such as the crowd noise or the sound of the stadium were used to aid witnesses in piecing together a timeline of the disaster. 

If we think of ourselves as walking, talking cameras, with memories as data stored in a personal database, we might seem like surveillance devices open to unrestricted access by authorities. Although we’re not machines (yet), we carry multiple recording devices wherever we go, and legal precedents for accessing this personal data are already beginning to emerge.

In a high-profile case involving the FBI and Apple in 2016, the FBI sought access to the encrypted data on the iPhone of Syed Farook, one of the San Bernardino shooters. 

Without Apple’s assistance, the FBI faced difficulties in bypassing its security features, including a setting that would erase the phone’s data after too many incorrect password attempts.

Apple refused to create a backdoor or unlock the phone, arguing that it would compromise the security of all iPhone users, creating a precedent for future cases and potentially weakening encryption standards worldwide. 

While our memories can never be fully reliable… We may all soon be equipped with a little dash cam of our own such as the Meta Ray-Ban Smart Glasses. And what happens then? 

In 2013, a bystander wearing Google Glass was able to record part of a fight in New Jersey. The video, though not high quality, provided crucial evidence in the case, demonstrating the potential future use of wearable technology. Although Google Glass never became widely adopted, this case highlighted the possibilities of using real-time recording devices to assist in investigations

While mind-reading devices may be a long way in the future, modern technology—such as surveillance cameras, digital footprints, and increasingly sophisticated forensic tools—has made it nearly impossible for criminals to evade detection. The presence of witnesses, be they human or technological, often plays a critical role in uncovering the truth. 

Crocodile warns us that each layer of investigation can cut through even the most elaborate cover-ups. One might feel they’ve escaped, yet every step adds another thread to their web of lies. As each layer is peeled back, small traces—the faintest breadcrumbs—are left behind, drawing closer to the truth and the eventual unraveling of their deception.

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