Where can I listen to this podcast?

This podcast is available on 6 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

goal17 Podcast

Claim This Podcast

by Research and Analysis by Aaron Williamson

18 episodes

Updated Daily

Accepts GuestsHas SponsorsLocation 🇨🇦

Podcast Authority

Beta

PoorBased on show quality, social media presence, reviews, charts, and more

Quality39

Social0

YouTube0

Engagement0

Learn more

Podcast Overview

Analysis and thought on system-informed strategy through analysis, foresight and investigation at the intersection of technology, politics, international affairs and social change. <a href="https://goal17.substack.com?utm_medium=podcast">goal17.substack.com</a>

Language

🇺🇲

Publishing Since

6/17/2024

View on Apple Podcasts RSS Feed

🇺🇸 Charts #3

Outreach generated

Apple 142

Spotify 827

Instant mention tracking

Perfect fit!

Unlock The Full Podcast Authority Score Report

See how your podcast performs across key metrics

Podcast Authority

Beta

PoorBased on show quality, social media presence, reviews, charts, and more

Quality39

Social0

YouTube0

Engagement0

Learn more

Excellent Areas

Good Performance

Growth Opportunities

excellent

Episode Length

15 minutes

Performing excellently!

good

Show Experience

17 episodes over 1.1 years

Recommendations available

Unlock the full report to see detailed tips

needs improvement

Publishing Consistency

Every 24 days

Recommendations available

Unlock the full report to see detailed tips

+16 More Metrics

Unlock comprehensive insights including:

• YouTube presence analysis
• Social media reach metrics
• RSS compliance scoring
• Podcast 2.0 features
• Technical standards

What's Included in Your Full Report

Detailed Analytics

Complete breakdown of all 19 authority metrics
Personalized recommendations for each metric
Industry benchmarks and comparisons
Technical RSS feed analysis and compliance scoring

Growth Strategies

Step-by-step action plans for improvement
Quick wins to boost your score immediately
Pro tips from successful podcasters

Get your free podcast insights report

See how your show performs across every key metric

Instant delivery

No spam

Attract Better Guests

High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.

Secure Sponsorships

Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.

Grow Your Audience

Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.

1 verified contact email on file for goal17 Podcast

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

See contact details

Recent Episodes

July 8, 2026

Why I Created Knowledge Commons

For anyone that’s been watching this space, you might have noticed that I’ve been rather quiet for a while. Some of my last posts were exploring the impacts and uses of AI in consulting, collaboration and public engagement. My early experiments quickly convinced me that AI tools offered significant value in collaborative work but I didn’t see a way to keep it as a core tool in my practice with the options that were available. What I did see, though, was that with the right tools, we could finally overcome some long-standing challenges in collaborative work to enable new forms of collective action and complex decision-making.Goal17 is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Through several decades of work in designing large-scale, complex, multi-stakeholder decision-making processes, there were several persistent problems we’ve been working to correct for that finally seemed within reach, and, to me, offered the possibility for a real leap forward in how we organize ourselves around complex decisions. Whether in large organizations, in projects or across coalitions, the quality of coordination and decision-making has always been a function of how quickly information gets where it needs to be, how widely distributed it is, and whether those in authority are aligned in their understanding.What became clear very quickly was that we could improve the speed of information passing through teams and networks, ensure that “edge insights” become more distributed and bring groups to shared understanding more efficiently. As I tested recording in breakouts and across sessions, I could see that assumptions we had held about the quality of what groups would report about their work paled in comparison to the richness of complete capture.I felt that if you could synthesize disjointed, distributed or parallel work quickly enough, at scale, that this would no longer be a question of documentation after the fact, it would completely change the speed and comprehensiveness of collaborative work.Consultations would be able to not only capture in minute detail the perspectives of constituents, but could adapt their focus - at scale - as unexpected themes emerged.Just off the top of my head:* Strategic conversations could merge the views across all stakeholders and document inputs.* Workshops could iterate quickly on emerging ideas and save time on lengthy reports between teams.* Conferences could become knowledge-producing hubs.* “Systemic” conversations and policy processes could assemble first-hand knowledge from more people than was ever practical before.I was convinced of the potential, and I remain convinced. Anyone in professional services that is involved with engaging and assembling knowledge, perspectives and intent across large groups will, I believe, fall behind if they don’t account for this step-change in capability. However, I am not a blind AI fanboy. Ethics and modelling outcomes have been central to my practice for years, and I have been a long-time critic of how the unprincipled development and application of technology has had predictably dire outcomes for society. Having previously delivered AI ethics and governance projects, I also knew that rolling out something like this would require making decisions with very real consequences.I am not going to go into detail here on how, exactly, I addressed each of these issues. Many are worthy of future posts. This is not even an exhaustive list. Suffice it to say, however, that in my view, AI platforms and any prospective users of those platforms, need answers to these questions and many more. During development, I’ve noticed a deep chasm between those with technical expertise and those who are shaping policy and engaging in discussions on ethics. Part of my motivation in developing this platform has been to create a kind of “thesis” project that is fully production-ready, that is a technical reflection of many of the more philosophical, ethical questions relating to this technology. It’s why my writing has lapsed in this space for a while: I was writing something else.Now on to some of the issues and questions I addressed in my design.PrivacyListening to conversations at scale creates a host of privacy concerns. If “collective intelligence” is the goal, then trust and the confidence of individuals to speak freely is a precondition. If they are suspicious of the recorder, they won’t share.* What happens with the recordings, and who can listen to them?* How will personal side conversations be managed?* Where are the recordings being processed, and what are the policies of the processor?* Are statements being personally attributed, and if so, who has access to those attributed statements?* Are my conversations being used to train models, build someone else’s product, or serve someone else’s secondary business model?SecurityIf these conversations are confidential, proprietary, or otherwise sensitive, there are a host of questions that emerge end-to-end in terms of how data is gathered, transmitted, processed and stored.* Can the radio frequencies from any recording devices be intercepted in order to eavesdrop on in-person conversations?* Do recordings stay on any recording media between or after meetings?* If recordings are being transmitted, can the data be intercepted in transit?* Can AI models learn, retain or leak any of the materials being processed beyond the scope of a given group?* Is all original, processed or derived data stored securely?CognitionArtificial Intelligence, when applied to cognitive work, can either augment human performance or systematically degrade it. Especially when applied to difficult, strategic conversations about the unknown, AI can adversely impact the ability of humans to tackle thought-work.* Is AI being used to replace creativity, decisions or tasks requiring judgement?* Who is generating recommendations or options - humans or AI?* Is the “work” being done by the AI assistive, or authoritative? * Does the application of AI generate additional cognitive load through over-generation?Human AgencyAI systems can be extractive and erode the importance of human roles, or can be assistive and extend human capability. * Is the role of AI generating new value in the work being done by humans, or replacing existing roles previously done by humans?* Does AI draw from outside or unverifiable sources that compete with qualifying knowledge and expertise of human operators?* Is AI being used to make judgements that carry liability or normally demand formal accountability?* Is the role of AI creating dependence that might diminish the critical faculties of human users of the system over time?* Who decides what is important, and are those decisions clearly and transparently recorded?SovereigntyThe development of AI is taking place on the backdrop of renewed geopolitical conflict, and control of the technology, infrastructure and data involved is now subject to state surveillance, restriction and control.* Is any part of the AI system - from collection, to transmission, processing and storage - transiting a potentially adversarial jurisdiction?* Are any critical components of the system vulnerable to import or access controls that might render the system inoperable?* Does the system rely on the goodwill of foreign or adversarial governments?* Is any part of the system in a jurisdiction that can compel involuntary access or disclosure?* Is the system in a jurisdiction that will credibly enforce stated privacy and content protections?TrustMany of the leading AI labs have systematically violated existing copyright laws and are backed by governments that prioritize rapid growth and technological supremacy over human, labour and privacy protections. Further, frontier labs have opaque cost and pricing structures that do not appear to align with publicly available estimations on delivery cost.* Does the AI provider have a verifiable set of protections in place for secondary uses of customer data?* Has the AI provider ever been found to infringe on the use of data they do not have rights to?* Do the AI provider’s prices accurately reflect the cost of delivering services, such that current prices are a reliable predictor of future prices?* Has the provider ever been seen to misuse, mishandle or misappropriate private information?* What assurances do users have on the accuracy or provenance of information provided by the service?* Are the stated aims and objectives of the provider or its leadership aligned with the interests of its customers?And So…Where did this leave me? There was, somehow, nothing I could find on the market that could record 20+ conversations in a room simultaneously, and no provider for processing all of that information in a way that satisfied all of the conditions above (and many more). So, that is why I built <a target="_blank" href="https://www.knowledgecommons.ai">Knowledge Commons</a> and the <a target="_blank" href="https://www.ravenrecorder.ai">Raven Recorders</a>. I could sit on the sidelines and complain about how the AI industry was taking the wrong path, or, I could build something that demonstrated what I thought the right path should look like.Goal17 is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Get full access to Goal17 at <a href="https://goal17.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4">goal17.substack.com/subscribe</a>

August 6, 2025

The Future of Decision-Making

A caveat up front: The Value Web has always been a community effort, and these are just my personal reflections as we reach a new part of the journey. I was proud to be a part of the Value Web when it was a scrappy, international collective of practitioners that had come together to apply their talents to tackling some of the world's most intractable problems. I was a part of the board when we changed the mission statement to "transforming decision-making for the common good". It felt right. It felt big. It felt like it mattered.But things have changed. And if you haven't noticed, decision-making doesn't seem to be doing too well right now. What I have come to believe, however, is that we have, among us, the tools that we need to make a fundamental shift in how we approach the problems of our times.Goal17 is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Where We Came FromThis all started out - at least for me - as a corporate thing. Capgemini Consulting, by way of Ernst and Young, had acquired a methodology from a small, obscure and boutique group called MGTaylor for a facilitated process of group decision-making. I was, perhaps, too inexperienced to fully understand why we were doing what we were doing when I started...but I knew something felt right about it. In the crudest sense, as I understood it then, what we were doing was creating and facilitating a process by which a group could openly and collectively evaluate the possibilities of potential future strategies and collaboratively find a path forward together.Using a clear method for process design along with a set of design principles and concepts for the creation of physical environments to foster collaboration, the method achieved significant scale across the world and spawned a global community of practitioners dedicated to supporting collective decision-making. I'm abbreviating rather substantially in this history, of course. When I first got involved, what stood out for me was the openness and democratic nature of the process. I thrived on that. From the moment I entered the workforce, I wondered why good ideas mattered less than hierarchy; encountering a method for allowing the best ideas from a group to emerge - no matter who they were from - was a breath of fresh air to me.I didn't really understand the real meaning of what we were doing until years later. It was enough for me that the work we were doing seemed to give meaning to groups within various companies that were tackling their own challenges. They seemed to gain inspiration and energy simply by being engaged in conversation about how to approach the challenges facing their companies.And Then, The Value WebOver time, I came to genuinely appreciate the work we were doing. Participants in our processes became deeply engaged in the difficult work of navigating what were - oftentimes - existential threats to the organizations they were working for. I learned that by designing a collective process around how people think, which is often messy and non-linear, groups would build ownership and intent around their work that I hadn't seen otherwise in the working world. When they were meaningfully engaged, they leaned in.And there was method around all this. We would often say "trust the process"...and we would mean it, because the "process" would reliably produce results.When I came across The Value Web, they were doing something that I found very interesting: they were applying the methods we had used in our consulting context for collective decision-making in non-corporate settings, most interestingly in settings where nobody in the group was from the same organization.I can't stress how important this factor was in the evolution of our thinking and our work.Collective decision-making and co-creation is comparatively easy when everyone in the process is obligated to be there, has the same interests in the outcomes, and might be fired if they don't meaningfully contribute. It's participatory, but with consequences. And the smart participants know what game is being played.Collective decision-making when everyone is from a different organization, when they do not share accountabilities and when ownership of the outcomes is unclear, is a different animal entirely. This was the arena I found the Value Web playing in. Diverse groups from multiple sectors and segments of society trying to figure out solutions to intractable problems. Together. What became abundantly clear was that there was a real gap in how to balance the inclusiveness required to involve all the necessary stakeholders with the decisiveness required to move things forward. And what we were doing appeared to be working. What We Did and What We LearnedFor years, we operated as a collective. Awkwardly. Somehow, we, as a group, found organizations to work with that needed support, and we created beautiful, immersive and transformative experiences for leaders facing critical challenges. We worked with the World Economic Forum to reimagine its gatherings. We worked with UN agencies to find points of collaboration between agencies to tackle complex challenges. We tackled projects on climate, nature, public health, resource scarcity while also learning the fundamental principles of community design and coalition-building.More than anything, I think that what we learned was that while having methods to productively and decisively engage individuals in big decisions was useful in large organizations, it was fundamental to making progress in settings where the stakeholders weren't beholden to the same "boss" but, nonetheless, had common stakes in a problem that none of them owned individually, but all of them were responsible for collectively. Over time, we reflected on what we were doing and realized that in our efforts, there was something bigger at play.Shared Intent and Collective IntelligenceIt turns out that having a global community of people obsessing over how decisions get made results in some fairly significant insights. Over hundreds of projects, there was a very real validation that all of the factors surrounding HOW decisions get made are as significant as the decisions themselves. By focusing on the human experience of collaboration, the emotional journey, the heuristics and shortcuts of human cognition and the labor of human trust and connection - all of which were considered unprofessional, irrelevant externalities in traditional decision-making methods - we were able to create deep and stable transformations of the groups we worked with.We came to see that work in these systemic contexts focused around three design challenges - distributed intelligence, individual action and personal intent. It was similar to the work we did in the corporate context, but exploded to a scale that required us to extend the tools and models we used.At its heart, though, the problems were deeply human. Intent was everything. With loose ties, individual intent that became shared <a target="_blank" href="https://goal17.substack.com/p/intent-is-everything">intent was the most potent element</a> in driving change. And collective intelligence simply meant that with the size of the challenges, no individual fully understood every part of the problem, so a meaningful process to allow members of a group to come to shared knowledge based on collective input was the most reliable way to ensure that decisions were based on the best information and could account for the many potential consequences.Through it all, we validated that a model-driven design process helped create structure in otherwise confusing and unruly circumstances, because the common denominator, regardless of industry or domain, was the human condition.Reaching the Limits of a ModelTo achieve all this, The Value Web walked an organizational tightrope for many years. As a "collective", it was made up of a group of more than 30 practitioners delivering work together under a common name. Most of those members either operated another company or worked somewhere else, and the common brand was used as a neutral space to collaborate on projects for the common good.It always felt somewhat temporary and incomplete. It had enough structure that we could work together, but each time we attempted to formalize it, the changes risked upsetting the balance that allowed a group of people who might otherwise be competitors to work together. The energy - our shared intent - was always in delivering meaningful work together to try and make a difference, and that energy was always tested when we tried to evolve the structure.We had validated that well designed, effectively supported decision-making processes could make a difference at the very highest levels, and with the most difficult and complex problems, but we had done so using a structure held together with chewing gum and duct tape.And then we noticed a set of challenges emerging that caused us to re-evaluate the path forward.First, the rise of Design Thinking muddied any kind of comprehensive understanding of deeper methods. The runaway popularity of the set of techniques around Design Thinking made it more difficult to articulate the important nuance of <a target="_blank" href="https://goal17.substack.com/p/design-thinking-vs-designing-thinking">designing thinking</a><a target="_blank" href="https://goal17.substack.com/p/design-thinking-vs-designing-thinking">.</a> And our community was small, obscure, and not widely known.Second, our extended community of practice was getting older. Although practitioners of our craft had, collectively and individually, achieved a remarkable degree of success, the obscurity that had always given it an edge now acted as an impediment to a generation of people who didn't even know these practices existed. Extinction didn't seem out of the realm of possibility.Thirdly, our own practice could not evolve if it was not clearly defined enough to enter into conversation with other practices. There was no clear frame of reference outside of our community for what on earth we were doing.Finally, and most importantly, there was no conceivable way that we could achieve our mission of transforming decision-making for the common good simply through scaling our service delivery. We could never grow enough or deliver enough projects to meaningfully change the broken processes that were steering our species off a cliff.So the question became, given all that we've learned, how could we, as a community, change societal expectations of what constitutes "due process" in how critical decisions are made?Ending the Old to Create the NewSvenja Ruger, Tanja Kerlo and myself took on the project of imagining what that might look like. First, the organization could no longer deliver projects itself, so that it would not be in conflict or competing with its own members. This was the most emotionally difficult part of the process, as we all had a connection to this dysfunctional but beautiful way of working together.We came up with a minimal structure that would allow us to conduct research, establish the boundaries of a profession, and provide a learning path for new practitioners and to advocate for leading methods in complex decision-making. We call it <a target="_blank" href="https://goal17.substack.com/p/process-activism">Process Activism</a>.The most important element, however, was that it would take the time, intelligence and talents of our entire existing community of practice to come together and bring this into the world. With thoughtful practitioners spread all across the world choosing to move this forward together, it might just stand a chance of really changing things for the better. With this community as a start, and with an intent to learn with other communities of practice, it would be conceivable that collectively we could shift towards more inclusive, informed and robust collaborative decision-making.We believe that we need to build community around key challenges, so there is a shared understanding among stakeholders not around what a given decision should be, but how we should be approaching those decisions.One week ago, we made our case to 100 members of our community that had gathered for <a target="_blank" href="https://2025-happening.lovable.app">The Happening</a><a target="_blank" href="https://2025-happening.lovable.app">.</a> We relinquished control of the organization to allow its rebirth as a community project.What I witnessed was a group of people stand up and answer the challenge. What I felt in that room was the emergence of shared intent, and a genuine desire to build something together to ensure that we, as a species, can work towards a time when we can say that all decisions that affect our future were made in the best interests of all, and represented the very best of our knowledge and abilities.Matt and Gail Taylor gave an incredible gift to this community when they assembled and nurtured this method. This community has now expressed the desire to honour what we’ve learned by extending it, sharing it and allowing something new to grow.I am very excited to work together with this amazing community to create a future where we can not only say our decisions reflect our collective intelligence, but that, together, we have nurtured the ability to act with collective wisdom.<a target="_blank" href="https://thevalueweb.org">You should join us.</a> Get full access to Goal17 at <a href="https://goal17.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4">goal17.substack.com/subscribe</a>

May 20, 2025

What I Learned Trying to Influence the Canadian Election

ContextIn the midst of all that is going on in the world, Canada just had a federal election. Normally, Canadian politics isn’t something that gets the blood racing, but these are not normal times, and this was not a normal election.In the course of my work, I find I am more routinely keeping an eye on the flow of global politics, but over the last couple of years I have started to focus a lot more on the threats facing Western democracies, both from the corrosive effects of digital platforms but also with the increasing intensity and impact of influence campaigns waged by autocratic states. I was getting increasingly worried that the underpinnings of our democracies were crumbling, and we seemed ill equipped to counter the challenges we were facing, and as a result, I tried to focus my work, where I could, on some areas that could contribute to our collective defence.All the while, the Canadian government was staggering along, with a beleaguered administration that just never quite got its stride again after the pandemic. We have a politician here leading the opposition who had made denigrating Canada into a full time, 2 year project, baiting the increasingly unpopular Prime Minister and drilling into Canadians that our country was broken, despite our better-than-the-global-average recovery from the pandemic, global supply shocks and inflation. A lot of Canadians came to believe him, and even among those of us who didn’t, there was little enthusiasm to support a Prime Minister that seemed to be holding on long past his due date.And the polls were grim. Support for the Liberal government was at historic lows, and while they held on in Parliament with the support of a coalition party, survey after survey showed that the next election would be an extinction-level event for the ruling party, with a crushing majority for the Conservatives forecast whenever the writ might drop.Goal17 is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Honestly, for my part, while I found the Conservative remedies completely unconvincing, I was becoming somewhat resigned to the fact that they would take power, and I felt that, perhaps, it would be best for them to have a term in power if only to prove that they couldn’t just wave a wand to make the world’s problems disappear. I started to think it might be worth them winning just to prove to Canadians that the simple platitudes they were offering to fix our “broken” country had no substance to them, so we could move on.But then, a few things happened. Trump got elected. The joke about making Canada the 51st state stopped being a joke. Vance travelled to Europe to tell the German military it should be okay with fascism. The US started slapping tariffs on Canada. And then the Liberal government experienced a rapid, unscheduled disassembly. Suddenly the copy/paste of Trump’s talking points into the Canadian Conservative leader’s speeches felt like less like a sign of admiration, and more like a Manchurian candidate.I decided on the night that J.D. Vance spoke at the Munich Security Conference that I wanted to be involved in some small way to contribute. The challenge was that, as a resident of downtown Toronto, any campaign door-knocking I could do would be preaching to the converted. I was aware, however, that the misinformation war was unfolding online.The PlanMy partner, Beth - who has worked extensively in social media strategy - convinced me that if I wanted to reach a lot of people in a short amount of time, the only choice was to try TikTok.Beth pointed me towards several accounts that had begun focusing on political content as the election drew near and had grown rapidly and achieved significant reach in very little time, which suggested it would provide considerably more reach than knocking on the doors of my liberal neighbours.To say I was skeptical would be an understatement. In my view, TikTok was a democratic destabilization machine controlled by the Chinese state, which didn’t really make it a great candidate.The alternatives, however, were not great.The PlatformsThe social media landscape in 2025 is a dumpster fire. No matter what reason you have for using social media these days, you are probably unsatisfied with the experience, and are most likely generally worse off for using it, whether that be for personal reasons or professional.I had been experimenting with Substack for some time, and putting an ungodly amount of effort into researching, writing and recording posts. While the platform benefits from having great tools for writers and isn’t burdened (yet) with advertisements, I found myself topping out at around 130 subscribers, with every new subscriber a hard fought battle. It seemed to me that it was a great place to bring an audience, but not a platform where you could easily build an audience.I decided early on that I would try to use my professional network on LinkedIn to try and direct people over to Substack, by posting about my new articles there. It was only then that I realized how hollowed out LinkedIn had become. Firstly, because LinkedIn tries to encourage a posting frequency in their algorithm that is unsustainable for thoughtful production, it has become a hellscape of self-serving humble bragging, with only the rare post rewarding the reader with any actual insight or value. The worst part is that we all seem to know it. Professionally, we know we should at least appear to engage, so there are a smattering of likes and performative comments, and nothing more. The engagement on my posts linking to my articles was shockingly low, with numbers that were only a fraction of the number of connections I had. But worse than that, the “click-through” rate was so low that at first I thought Substack’s analytics were lying to me. On a LinkedIn post with a decent number of likes and even a few comments on the topic, Substack’s analytics would show that almost no one had actually clicked the link.Instagram doesn’t even seem to know what it is as a platform any more. In response to TikTok’s onslaught of content from people you don’t know, Instagram threw away what was previously its insurmountable competitive advantage: its social graph. Combined with aggressive efforts at monetization by Meta, it is simply a platform for scrolling through advertisements, interspersed with cross-posted TikTok videos from people you don’t know, with bubbles at the top where the few friends you have active on the platform post coffee pictures and conspiracy theories.Twitter, which now has a name you can’t start a sentence with, is only useful for finding out what its owner is doing, and what other white supremacists think about what he’s doing, is totally unfit for any sustained effort, besides being harmful for your mental wellbeing.I stopped using Facebook during the pandemic, when it proved to be ground zero for radicalizing its users and turning them against vaccines and democracy. After being attacked mercilessly by a mob after I suggested to an acquaintance that vaccines didn’t cause autism or allow Bill Gates to track us, I decided I was done on that platform. Zuckerberg’s decision to end fact-checking and ban actual news sources from the platform sealed the deal for me.I had never really used TikTok, mostly because the combination of an addictive algorithm, its ability to “understand” you at a deep level and its connections with the Chinese state had always been incredibly problematic for me, but also, simply, that I didn’t believe it to be a platform where any serious content could exist.Also, in the context of Trump’s announcement that annexation of my country was on the table, it was worth considering who owned each of the platforms and what their agendas were. All of the platforms were owned by adversarial governments. The CEOs of Meta, X and TikTok all attended Trump’s inauguration, and given Trump’s fixation with Canada and China’s ongoing feud with the Liberal government and documented attempts to interfere in Canadian democracy, one had to assume that there could be interference in political discourse on all of these platforms.Finally, while I had friends and family on Instagram and Facebook (100-200 connections), an old Twitter account with about 150 followers and a LinkedIn network of around 1500 connections, I had exactly zero followers on TikTok, as I would be setting up an account for the first time.But, I was determined. No matter how small the contribution to the discourse, I wanted to do something, even if it was only correcting some misinformation, to help in the election.Oh, and one other note; I was, and am, fully aware that maybe the problem with engagement on the things I’ve written wasn’t an algorithmic problem or a platform problem. It was also possible that I’m just boring.Playing to the AlgorithmBeth laid out a simple formula for me. She was adamant that if I followed the formula, I would see results and the algorithm would respond, but if I didn’t, and I deviated, or slacked off, the algorithm would be merciless.She also suggested that because there was so much attention on the election, that the time was now: if I harnessed a national conversation in the moment, the impact would be multiplied.The formula was simple: you need to post three videos per day, every day, connecting with issues and topics as they arise. You need to find the hashtags for your topics, and respond to every early comment on your posts as they come in, while posting comments on the posts of a few, related, creators around the same time that you post your own videos.While this was obviously a difficult pace to maintain, I was determined to give it a shot.Given my experiences on other platforms, my expectations of a new platform with zero followers were pretty low. My very first post, however, got over 300 views almost immediately. Coming from LinkedIn, I thought that was pretty good. My second post, later that day, got 2,500. I was flabbergasted. I had only gained 1 follower from the first post, so that caught me off guard. The numbers seemed to fluctuate up and down, but a few more posts in and I had another hit 3,300. Even getting view counts in the hundreds seemed pretty good to me. Here on Substack, where a single post takes me hours of effort, getting above 200 views is a good day for me. Things seemed to be going pretty well, and with every new post, I would pick up a few new followers, something that on this platform I was finding pretty difficult to do.What shocked me from my early interactions on the platform was the level of engagement from the people that use it. The dynamic was fundamentally different from anything I’d seen on other platforms. Beth would roll her eyes, because, of course, she’d been telling me this for a very long time. But not only were people viewing political content, they were debating it, sharing, and shaping it. The comments would fill up and users would go back and forth on the issues. And these weren’t the usual LinkedIn comments of “Totally agree: ask me how I can help with this using my special formula!” but actual, genuine comments and engagement. I hated that this platform was where the “town square” had moved, but I couldn’t deny that this seemed to be where Canadians were coming to find out what was going on and to discuss it. Love it or hate it, this was where it seemed to be happening.That’s when I came across Common Sense Carl and some of the conspiracy content swirling around the platform.The Misinformation problemWhat became apparent from the comments was that while this election, for some, was about trying to find a candidate that was best suited to guide Canada in a time of geopolitical and economic turmoil, for many others, it was about something completely different.To summarize, there were many who believed that Justin Trudeau, and now his carbon-copy replacement, Mark Carney, were puppets of a globalist cabal led by Klaus Schwab of the World Economic Forum to confine us in our Hunger Games inspired 15-minute City districts while being tracked by microchips injected by Bill Gates and the WHO during an imaginary Plandemic that was concocted to break our spirits into submitting to the communist, totalitarian Liberal government that was using carbon taxes to crush Alberta by hobbling its oil industry, all while extracting their hard-earned oil money to fund the profligacy of a corrupt capital in Ottawa and a lazy, welfare province of Quebec. Or something like that. But it definitely, definitely, could all be traced back to the WEF and their master plan.Having worked as a consultant and collaborator with the WEF for close to 15 years, I felt the need to set the record straight. I realized that, perhaps, the value I could add in this debate was to offer the perspective of someone who had actually worked with the WEF and the WHO, and hadn’t just heard about them on Facebook. So I made a short video explaining what they actually did, and why the rumours had no basis in reality, gave it the title “The WEF Conspiracy” and posted it.The video got about 40 views, and stopped dead. The normal curve of engagement for even my least engaging videos didn’t emerge. It just stopped.After some investigation, and using a tool they have for scanning your content, I realized that I had been flagged for misinformation. Being flagged means that your post is no longer “eligible for promotion on the for you page”, which means that the magic algorithm that makes TikTok run will ignore your content. It won’t delete it, it will just ignore it. I tried changing the text description, the hashtags, and re-uploading it, with no luck. Any mention of globalism, globalist, WEF, World Economic Forum or a host of other words would get you suppressed if you tried to debunk anything.To add insult to injury, when I looked at TikTok’s “creator insights” tool, which suggests trending topics to act as inspiration for creators, along with scripts to follow and related videos. The script was full of false information, and the suggested videos spoke freely about the WEF and all of the conspiracy theories, with view counts in the hundreds of thousands, meaning that they were using the same keywords while still being promoted widely by the algorithm.This was one of many moments where you could feel the hand of foreign interference tipping the scales. Want to spread division? No problem. Want to stop it? That’s misinformation. Where the misinformation really thrived was in the comment sections, and pushing back on the increasing waves of crazy comments became a full-time obsession. Some of it was just crazy, but a lot of it appeared to be bad faith parroting of misleading talking points.There were definitely bots at play, but I think what’s more concerning than that is that this method of consuming information seems to turn people into bots. People with only cursory knowledge of topics post short, punchy videos putting a spin on headlines that are taken out of context, which are then repeated robotically by viewers who take them as truth. You could spot them immediately, because the talking points would be recycled so consistently: any mention of WEF, WHO, no-new-pipelines, equalization payments, 15 minute cities, Jeffrey Epstein, globalists, Liberal corruption, Brookfield, Klaus Schwab, scamdemic, Jared Kushner a lost decade or a host of other scripted points let you know where a commenter was getting their information. Most of these things took no more than a 2 minute Google search to see they were false, but this was evidently a Google search too far for most.What was most disturbing for me was the interplay between the Conservative candidate, Pierre Poilievre, and the online misinformation. Poilievre would consistently make references to the online conspiracies in ways that he knew would engage those who knew, while often flying under the radar of those who didn’t. This reinforcement by a national party leader only served to reinforce their credibility, and cement the loyalty of a political base that saw him as the only candidate speaking the truth.The Polarization ProblemI quickly amassed a small but loyal following of a few hundred - which, again, was astonishing given my experience on other platforms - but the reach of the posts I made, thanks to the algorithm, would extend far beyond that. My posts would consistently get hundreds of views, with some intermittently spiking into the thousands.At a certain point, I noticed that I was clearly being served up to those that the algorithm knew would disagree with my content, while at the same time being served content myself that I would consider inflammatory. One day when I expressed my frustration to Beth that I was being served “crazy stuff” that the algorithm would have to know I wouldn’t like, she reminded me that that was precisely the point; disagreement is one of the strongest forms of engagement. This clearly was having the effect of increasing the levels of polarization among users, as you would be comfortably surrounded by opinions you agree with, then suddenly served only the most extreme examples from the political opposite.This polarization could be seen in the aftermath of the election results; following the Liberal victory, many Conservatives had difficulty accepting that the election results were valid, because they hadn’t come across anyone online who agreed with the Liberals, except for the occasional case of the most unhinged leftist. How could the Liberals have won if EVERYONE said they were going to vote Conservative?The Fact Checkers and the TrollsThere were some creators I came across that put in an incredible amount of work to counteract the waves of disinformation that poured out on a daily basis. One in particular, Rachel Gilmore, was doing near forensic-level investigation of some of the trickier pieces of disinformation throughout the election. One claim that stood out for me was a picture of Prime Minister Mark Carney with members of a pro-Beijing business lobby, with the assertion that he had an in-depth meeting with them, despite his protestation that no such meeting had happened. By piecing together a timeline, and photos from the same event (based on backgrounds, clothing and flooring, no less), Gilmour showed that Conservative accusations were baseless, and the photo had simply been taken at a large political event, sandwiched between photos with other attendees.The cost for fact-checkers like Gilmour, however, were substantial. Female voices online are particularly targeted, and Gilmour amassed an army of trolls that would follow her to any online space she would go to, culminating in the withdrawal of an offer to do an on-air segment with Canadian broadcaster CTV, which didn’t want to deal with the hassle of right-wing trolls and extremists. This level of organized harassment should be deeply concerning for anyone interested in having effective political coverage throughout our elections.A Side Note on ChinaRemember the part about TikTok being controlled by China? While I am going to go through this in detail in a separate post, it is worth mentioning that my first “viral” posts that got above 10k were about…China. Their performance was suspiciously out of step with any of my other content up to that point. Nestled between two other posts that garnered my then-typical view-counts of 450-650 views, my two posts about China attracted just below 13k and 10k…with the second post being an incredibly lengthy and dry rehash of China’s brushes with colonial powers through history. Coincidence? When I saw the other pro-China content being boosted in my feed at the time, when Trump was rattling his sabre, it was different enough to catch my attention.Final ResultsMy original intent was to test whether using an online platform like TikTok would be more effective that volunteering in the campaign to knock on doors in Toronto. Just based on the limits of physical movement, there is likely an upper limit on the number of doors I could have knocked on, and again, it would have been in an area that was already heavily leaning Liberal.By contrast, in the four weeks leading up to the election and the two weeks following, when I have been countering misinformation on the validity of the election results, here is a snapshot of my reach, having started an account from zero.What strikes me is not only has the content gathered nearly a million views, it also attracted over 24,000 comments. Twenty. Four. Thousand. On a six-week-old account.Further, as a test, at a few points during the campaign, I would post the same video both to Substack and to TikTok at exactly the same time in order to see if it was the content itself that was different, of if the platforms that made a difference. Here is a side-by-side comparison of the performance between the two after they’d been posted for the same amount of time:The lesson that I take from this, and for the very few people who read this Substack, that I hope you take as well, is that this, very much, seems to be where the conversation is happening. My account was not even close to being one of the more popular political accounts during the election - those would have all have significant multiples of engagement beyond this. As of today, this account has around 3,000 followers, whereas the other creators leading the discourse all had tens or hundreds of thousands of followers.And this really matters. I was very uncomfortable to hear, partway through the election, in comments from a large number of people, that my content had become a go-to for election information and a reality-check on what was real and what wasn’t. While this was, of course, my intent; to offer a balanced voice and some sound analysis into the public discussion, it made me realize that for every one of me, there could be ten people spreading false information. Some of the most popular political creators in Canada seemed to be working full-time churning out toxic, misleading content. But no matter which political bubble your feed takes you into, the trust that is built on these platforms is significant, and those of us concerned about the health of our institutions and democracy ignore these platforms at our peril. Goal17 is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Get full access to Goal17 at <a href="https://goal17.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4">goal17.substack.com/subscribe</a>

18 total episodes available

Deep-dive analytics for goal17 Podcast

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is goal17 Podcast?: Analysis and thought on system-informed strategy through analysis, foresight and investigation at the intersection of technology, politics, international affairs and social change. <a href="https://goal17.substack.com?utm_medium=podcast">goal17.substack.com</a>
How often does this podcast release new episodes?: This podcast updates daily.
Where can I listen to this podcast?: This podcast is available on 6 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Does this podcast accept guests?: Information about guest appearances is not available.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.