Hey ! Why not ask the architecture crowd today ?! Guys & Gals join together and share your information. Nobody knows more than all of you !
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Hey ! Why not ask the architecture crowd today ?! Guys & Gals join together and share your information. Nobody knows more than all of you !

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🌊 The Power of Collective Intelligence In 1968, when the USS Scorpion submarine was lost in the Atlantic, traditional search methods failed. But when independent guesses from experts and non-experts alike were combined, the “crowd” predicted its location within just 220 yards on the ocean floor.
This remarkable discovery highlights the strength of crowd wisdom — when diverse perspectives are aggregated, the results can outperform even the most specialized experts.
That’s the same principle powering prediction markets and platforms like HedgeCo — turning collective insights into smarter, more accurate forecasts.
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Think one expert knows it all? Think again! 🎯 On Who Wants to Be a Millionaire, contestants who polled the audience got the right answer 91% of the time — compared to just 65% when asking their smartest friend.
That’s the power of Crowd Wisdom: diverse insights coming together to create smarter, more reliable answers. 💡
At MetaBetter, we harness this same principle in prediction markets, contests, and forecasting tools. When in doubt, trust the crowd — they’re smarter than you think!
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Smarter Together: How Crowd Wisdom Beats Expert Predictions When fans, analysts, and everyday viewers make their own independent guesses, something amazing happens — the average prediction often turns out more accurate than what a single expert says.
Why? Because diverse insights — from hard stats to gut feelings — come together, and biases cancel out. It’s collective intelligence in action.
That’s the power behind HedgeCo — a platform where people forecast real-world outcomes through contests on politics, finance, and global events.
Trust the crowd. Predict with confidence. Experience the future of forecasting!
Discover how prediction markets harness collective intelligence to forecast real-world events. Explore their mechanics, benefits, challenges
Understanding Prediction Markets: How Crowd Wisdom Drives Forecasting
Prediction markets are transforming how we anticipate real-world events—using the power of collective intelligence to make smarter, faster forecasts. From elections to economic trends, these platforms are more than just betting—they're forecasting tools rooted in data, behavior, and real-time insights.
This blog explores how prediction markets work, why they outperform traditional methods, and how emerging prediction apps are democratizing decision-making.

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In 1986, just minutes after the Challenger disaster, the stock market pointed to Morton Thiokol—long before NASA confirmed it. No news, no analysis—just crowd wisdom at work.
This real-world example proves how powerful collective intelligence can be in predicting outcomes.
That’s the core of HedgeCo—a next-gen prediction market platform that lets users forecast political events, financial trends, and global shifts in real time.
🎯 Compete in forecast-based contests 💰 Win rewards for accuracy 📊 Use analytics to inform your predictions 🌍 Cover everything from elections to stock market predictions today
Whether you're into event trading or simply want to test your forecasting skills, HedgeCo makes it smart, social, and rewarding.
Crowdsourcing & Wikipedia
Crowdsourcing has been a great innovation of the Internet with benefits for the individual, the community, businesses and the government. Social media tools such as Facebook and Twitter have allowed us to be present with those in crisis; near or far. Online services such as Uber and UberEats use real-time geographical tracking and the reliance of ordinary people to provide services around the globe. World governments are able to gather situational information on relevant events in their country – or gather intel on the public (Bruns et. al 2012).
While crowdsourcing has improved the quality of life for may communities, there is always the issue of trust and verifying information which have been contributed by ordinary, lay people.
(Image Source)
Wikipedia is the internet’s largest encyclopaedia which is built through the online collaboration of users. Let’s take a look at how Wikipedia has used crowd-creation and crowd-voting to verify information.
Crowd-Creation
As of June 2018, Wikipedia consists of over 48 million articles, across 301 languages (Wikipedia n.d.). Users from all over the world are able to write encyclopaedic articles (Wikipedia n.d.) contributing to the content of the website. Current rules for English Wikipedia state that articles must strive to contain information that is already recognised and have been covered in academic sources and mainstream media independently (Wikipedia n.d.). Writers and editors are encouraged to provide neutral data with included references through hyper-links that allow readers to back-track sources and verify information on their own (Wikipedia n.d.).
Crowd-Voting
Wikipedia has a notorious reputation for being an unreliable source for information due to crowdsourced contributors. However, articles are now subjected to heavy scrutiny with processes and systems in place that ensure information is the most accurate it can be. Wikipedia articles are monitored by Wikipedians; voluntary users who communicate with one another through the Wikipedia Community channel, hosted on the website (Wikipedia n.d). While anyone has the ability to edit articles on Wikipedia, users are able to view the content’s edited history and dispute questionable information provided (Wikipedia n.d.). Articles that undergo the dispute process are scrutinised by the Wikipedia community (Wikipedia n.d). Through this dispute process, Wikipedians organise, fact-check sources, manage and debate the accuracy of information before changes are finalised (Wikipedia n.d).
Wikipedia’s founder Jimmy Wales, intended for Wikipedia to be a point of free-access to information for everyone (Business Today 2016). The creators of Wikipedia recognised that one authority on information was not going to allow neutral and diversified information; the only way to achieve this was to allow all people the chance to contribute to it. When reflecting on the topic of crowdsourcing and looking at the example of Wikipedia, I recognise the great potential that we, as digital citizens, have in advancing society when we put our minds together. Crowdsourcing not only allows us to connect with one another as a community, but also empowers us to respond to societies many needs in innovative ways.
References:
Bruns, A, Burgess, J, Crawford, K & Shaw, F 2012, #qldfloods and @QPSMedia: Crisis Communication on Twitter in the 2011 South East Queensland Floods, Arc Centre of Excellence for Creative Industries and Innovation, pp. 7-10, viewed 3 August 2016, <http://www.cci.edu.au/floodsreport.pdf>.
Business Today, I hate the word 'crowdsourcing', says Jimmy Wales, Founder, Wikipedia, 17 December 2016, viewed 1 June 2018, <https://www.youtube.com/watch?v=kvtqVWNcykM>.
Wikipedia n.d., Wikipedia, Wikipedia, viewed 1 June 2018, <https://en.wikipedia.org/wiki/Wikipedia>.
Crowds and Wisdom
After a slow afternoon in the countryside seeing friends, I went back to hitting the books to reflect on this week's topic of crowdsourcing and was quickly intrigued by Ford's insights into the ideology of the wisdom of the crowd. She goes on to reveal that when a group of people has an effective way of putting their resources and information together as a collective they can achieve much more and quickly accomplish traditionally complex tasks (2012 pp. 33-39).
For me, I found that this idea of crowd wisdom has already had a big impact in around my life most notably when I was working on my first unit of study at Swinburne not too long ago. I was faced with a group assessment that none of us really knew anything about, but we had all had minor experience with certain aspects of the task at hand. As our task group spent the week quickly getting nowhere, we eventually decided to have a 'due-date-panic-meeting' in which we decided to all work together to fulfill the learning outcomes. During the collaboration, we found that the group was quickly able to identify who would be best suited for what as we became more vocal about what prior knowledge we already had and the talents that were suited accordingly, long story short, we had a fantastic week of leading the discussion and less stressed overall.
As it turns out, I had stumbled upon a life skill that would lead myself to better success in my pursuits, both academic and professional as the idea of 'breaking down silos' and working in unison not only turned out to be a very proactive solution to my personal shortfalls, but also that the idea of it is scalable!
Despite having a lot of advantages, I still like to be cautious when collaboration gets a bit too excited and turns into something resembling a hive mind. As I have discovered in the previous week's popular ideas can be catching and if too many people get excited, decision-making processes may become skewed and that's happened throughout history from long before the Salem witch trials to the very recent Boston bombings. So long as people are working together and thinking critically, I certainly conclude that there can be wisdom with the crowd, but I understand that wisdom can be lost at any time regardless of the subject.
References:
Ford, H 2012, 'Crowd Wisdom', Index on Censorship, vol. 41, no. 4, pp. 33-39.