

Economists at Facebook, Harvard, Princeton and NYU recently analyzed anonymous Facebook data in order to study our social connectedness. The New York Times’ Upshot wrote about it here and it is a must read.
There are a number of interesting takeaways from the study. One of them is that geography, distance, and political boundaries actually matter a great deal when it comes to our connectedness.
In other words, Americans are more like to be connected to someone nearby – within county or state boundaries – than they are to someone further away who may be infinitely more similar. This may seem somewhat intuitive.
But at the same time, having a dispersed network also suggests certain things. Here’s the relationship that they discovered:
These networks are important in part because of other patterns that are correlated with them. Counties with more dispersed networks — where a smaller share of Facebook friends are located nearby, or among the nearest 50 million people — are on average richer, more educated and have longer life expectancies. Places that are more closely connected to one another also have more migration, trade and patent citations between them.
Counties that are more geographically isolated in the index are more likely to have lower labor force participation and economic mobility, and they have higher rates of teenage births. Some of the most economically distressed parts of the country appear to be the most disconnected: Among the 10 U.S. counties with the highest share of friends within 50 miles, six are in Kentucky.
Again, it is worth checking out the full article. There’s also an interactive map to play around with.
Last Thursday the Supreme Court of Canada announced it would not hear an appeal from the Toronto Real Estate Board regarding a 2016 Competition Bureau decision aimed at giving consumers greater online access to information, such as historical (home) sale prices.
I am not at all surprised by the Supreme Court’s decision and I have said pretty much all I want to say on this topic – over here. But since I believe this is a positive outcome for real estate consumers, I wanted to mention it on the blog because it appears to be a final decision.
Some sites, such as Zoocasa, have already started publishing sold prices. Good.


I discovered a company yesterday called CARMERA, which just raised a $20 million Series B funding round. They call themselves a “real-time, street-level intelligence platform” and their flagship product, called Autonomous Map, provides HD maps and real-time navigation data to autonomous vehicles. That’s the way AVs work. They need maps like CARMERA’s to function. Here is an overview of what is supposedly the largest AV taxi service in the world. It is a partnership between CARMERA and Voyage.
One of the interesting things about this product is that it is cleverly powered through another one of their products: a free fleet monitoring tool for commercial operators. So fleet managers use this service to keep track of their actual human drivers and, at the same time, CARMERA uses the vehicles to collect the data it needs for its Autonomous Map. They call it “pro-sourcing” the data (a play on crowdsourcing).
It is perhaps a good example of “single user utility.” The product you’re making often has to be valuable to a single user before scale is reached. In this case, Autonomous Map would be a hard sell without a critical mass of pro-sourced data. It solves the perennial chicken-and-egg problem when creating new marketplaces.
Finally, I think many of you will be interested to know that CARMERA has also announced a partnership with the New York City Department of Transportation. As part of this, the company will be handing over the data they have on pedestrian density analytics and real-time construction detection events. Part of their mission is to “automate cities” and better street analytics will certainly help to open up a new world of city building possibilities.
Photo by Yeshi Kangrang on Unsplash
