Joho the Blog » journalism

August 9, 2013

[2b2k] Can Bezos beat 1:25?

I am a big fan of Reddit, as a reader, an occasional participant, and as an observer. As a reader, Reddit has gone downhill for me. Or perhaps I should say “as a lazy reader.” I don’t stray much from the home page which shows the top posts from a default set of sub-reddits, i.e., topically clustered posts. These days, there’s usual one post among the 25 on the home page that I find interesting in a way that matters, although maybe a half dozen I find click-worthy. Those half dozen are usually memes, or discussions of something in pop or Internet culture. The one in 25 that matters to me introduces me to an idea I hadn’t considered, with a discussion that goes pretty deeply into it — while always laced with glancing sub-threads and banter. But for a page that can be quickly skimmed, a 1:25 ratio is enough to bring me back several times a day.

One in 25 is probably about the ratio I find in The New York Times when I come upon a printed copy of it. That ratio goes higher if you count the sections that I skip entirely. For example, I apparently entirely lack the sports gene. The articles I read are usually ones that offer an interesting viewpoint on a topic I already care about, or that for some unpredictable reason stimulate my interest in something I didn’t know I cared about. I know this is very different from the behavior I’m supposed to exhibit. As a responsible citizen, I should be reading all the articles the paper tells me are important. But that’s how I am, that’s how I’ve always been, and I think it’s the way that most of us were even during the decades when reading the newspaper every day was our civic duty.

So, it worries me that Jeff Bezos may bring to the Washington Post the theory of reading that he has brought to Amazon. Amazon’s personalization works very well for me. The books it suggests are often in fact very appealing to me. It’s one reason I keep going back to Amazon. The suggestions don’t often take me far afield, but books are such a big investment of time and money that I don’t intuitively react against that. Intellectually I react against it, but my intuition and the finger that clicks the “buy” button don’t seem to mind at all.

Besides, I read most books as a matter of recreation. (Actually, that’s entirely false. In terms of numbers, I read most books as research that’s dictated by whatever project I’m working on. But we’re talking here about discretionary reading.) And here the Washington Post is different. We need it to help us learn what we need to know to be better citizens in a world that is increasingly inhospitable. A newspaper that works like Amazon would be intentionally creating a filter bubble, in Eli Pariser’s phrase. (And Eli Pariser’s book by that name is thoroughly worth reading, especially if you follow it up with Ethan Zuckerman’s Rewire.)

Bezos has a tremendous opportunity with the Washington Post. He can choose to restructure it so that it becomes the first truly networked newspaper, retaining the traditional virtues of a great newspaper while opening it up to the new virtues of our global participatory network. It can become a uniquely well-webbed supplier of news to the networked ecology, although the idea that any newspaper can “cover” all the “major” news has long ago gone pining for the fjords.

But this new webby news platform will miss the big chance to improve the ecosystem if Bezos applies to the Washington Post what he knows about personalization. The world doesn’t need another way to have our beliefs confirmed and our interests titilated. We don’t need The Daily Everyone Sucks But Us, and we really really don’t need The Washington Post and Sideboob.

What we instead need is personalization that doesn’t pander to our interests but expands them. That requires starting from where we are; posting lots of articles that are so outside our interests that we won’t read them won’t help. But the genius of Amazon’s personalization can be tuned so that we are presented with what pushes our interests forward without abandoning them. There’s lots of room for improvement in my current 1:25 ratio. In fact, there’s a statistical possibility of a 24x improvement.

We have billions of dollars’ worth of evidence that Jeff Bezos is one of the great business entrepreneurs of our era. But we also have good evidence that he has interests beyond maximizing corporate value. His taking the Washington Post private is a very good sign. I’m hopeful that something very good for us all is going to come out of his purchase — but only if Bezos can unlearn much of what Amazon has taught him about how to succeed.

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July 22, 2013

Paid content needs REALLY BIG metadata has just put up a post of mine about some new guidelines for “paid content.” The guidelines come from the PR and marketing communications company Edelman, which creates and places paid content for its clients. (Please read the disclosure that takes up all of paragraph 4 of my post. Short version: Edelman paid for a day of consulting on the guidelines. And, no, that didn’t include me agreeing to write about the guidelines)

I just read the current issue of Wired (Aug.) and was hit by a particularly good example. This issue has a two-page spread on pp. 34-35 that features an info graphic that is stylistically indistinguishable from another info graphic on p. 55. The fact that the two pager is paid content is flagged only by a small Shell logo in the upper left and the words “Wired promotion” in gray text half the height of the “article’s” subhead. It’s just not enough.

Worse, once you figure out that it’s an ad, you start to react to legitimate articles with suspicion. Is the article on the very next page (p. 36) titled “Nerf aims for girls but hits boys too” also paid content? How about the interview with the stars of the new comedy “The World’s End”? And then there’s the article on p. 46 that seems to be nothing but a plug for coins from Kitco. The only reason to think it’s not an ad in disguise is that it mentions a second coin company, Metallium. That’s pretty subtle metadata. Even so, it crossed my mind that maybe the two companies pitched in to pay for the article.

That’s exactly the sort of thought a journal doesn’t want crossing its readers’ minds. The failure to plainly distinguish paid content from unpaid content can subvert the reader’s trust. While I understand the perilous straits of many publications, if they’re going to accept paid content (and that seems like a done deal), then this month’s Wired gives a good illustration of why it’s in their own interest to mark their paid content clearly, using a standardized set of terms, just as the Edelman guidelines suggest.

(And, yes, I am aware of the irony – at best – that my taking money from Edelman raises just the sort of trust issues that I’m decrying in poorly-marked paid content.)


July 11, 2013

Apple e-books decision explained – mainstream and Reddit

A judge has ruled that Apple is guilty of price-fixing in its attempt to get the major publishers to unite against Amazon’s discounting of e-books.

Now, that’s not a very helpful — and possibly not entirely accurate — explanation. If you want more, there’s a thread at Reddit that has some terrific explanations at various level of detail (e.g., this one), as well as bunches of questions asked and answered. And, of course, some digressions, hip shots, and smug wrongnesses.

There are certainly some helpful analyses and explanations from the mainstream: e.g., WSJ, Wired, Bloomberg. In fact, I’d be hard-pressed to choose among those three and the Reddit comment I linked to above. But the Reddit thread is — at least to my taste — a better way to explore the issue: a variety of views expressed at appropriate lengths, with questions posed at various levels of sophistication, and with a conversation that goes where it wants to without a fear of dead ends.

Now, I’m aware that if you go to the Reddit thread, you’ll be appalled by how much there is wrong with it. Yeah, I’m not blind to it. But consider what an amazing emergent artifact that thread is. It combines in one flow “explainers” and analysis as good as you’ll find from professionals, Q&A, and a a social froth that you can easily ignore if it is not to your liking. This is what journalism looks like — one of the ways it looks — when the old constraints of space, authorial ownership, and editorial process are lifted, and a larger We gets our hands on it. Pretty fascinating.


June 30, 2013

Are there journalists?

Jeff Jarvis [twitter:jeffjarvis] has a good post asking us to think about journalism as a service provided to a culture, rather than worrying about who is or is not a journalist:

Thanks to the Snowden-Greenwald NSA story, we are headed into another spate of debate about who is and isn’t a journalist. I’ve long said it’s the wrong question now that anyone can perform an act of journalism: a witness sharing news directly with the world; an expert explaining news without need of gatekeepers; a whistleblower opening up documents to sunlight; anyone informing everyone. It’s the wrong question when we reconsider journalism not as the manufacture of content but instead as a service whose goal is an informed public.

There are of course times when we have to make a decision about who is a journalist and who isn’t. For example, who do you let into a press conference? But almost always those are decisions forced by the limitations of the physical world, and it’s a shame to let those limitations drive our understanding. Jeff’s way is more useful.

Why more useful? First, because it can forestall a whole bunch of pointless arguments premised on the idea that there is a precise definition of “journalist” that we can establish, that’s useful, and that we can agree upon. That’s not how language works. Second, and more important, worrying about journalism-as-service rather than who is a journalist lets us think about how to build an ecosystem that enables the maximum amount of useful journalism no matter who is doing it. From my point of view, this is a way of thinking about how we can build better and better knowledge networks for understanding what’s happening now in the context of history and a pluralism of cultures.

Now, the very best such ecosystem well might have paid professional journalists in it. In fact, I’ll be shocked if it does not. But thinking about journalism-as-service (or as ecosystem or as network) seems to me to be the more inclusive frame.


April 20, 2013

[2b2k] What we can learn from what we don’t know

I wrote a piece in the early afternoon yesterday about what we can learn from watching how we fill in the blanks when we don’t know stuff…in this case, when we don’t know much about Suspect #1 and #2. It’s about the narratives that shape our unserstanding.

For example, it turns out that I only have three Mass Murderer Narratives: Terrorist, Anti-Social, or Delusional. As we learned more about Suspect #2 yesterday, he seemed not to fit well into any of them. Perhaps he will once we know more, or perhaps my brain will cram him into one even if he doesn’t fit. Anyway, you can read the post at CNN.


I find myself unwilling to use Suspect #2′s name today because Martin Richard is too much with me.

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April 16, 2013

[misc][2b2k] Making Twitter better for disasters

I had both CNN and Twitter on yesterday all afternoon, looking for news about the Boston Marathon bombings. I have not done a rigorous analysis (nor will I, nor have I ever), but it felt to me that Twitter put forward more and more varied claims about the situation, and reacted faster to misstatements. CNN plodded along, but didn’t feel more reliable overall. This seems predictable given the unfiltered (or post-filtered) nature of Twitter.

But Twitter also ran into some scaling problems for me yesterday. I follow about 500 people on Twitter, which gives my stream a pace and variety that I find helpful on a normal day. But yesterday afternoon, the stream roared by, and approached filter failure. A couple of changes would help:

First, let us sort by most retweeted. When I’m in my “home stream,” let me choose a frequency of tweets so that the scrolling doesn’t become unwatchable; use the frequency to determine the threshold for the number of retweets required. (Alternatively: simply highlight highly re-tweeted tweets.)

Second, let us mute based on hashtag or by user. Some Twitter cascades I just don’t care about. For example, I don’t want to hear play-by-plays of the World Series, and I know that many of the people who follow me get seriously annoyed when I suddenly am tweeting twice a minute during a presidential debate. So let us temporarily suppress tweet streams we don’t care about.

It is a lesson of the Web that as services scale up, they need to provide more and more ways of filtering. Twitter had “follow” as an initial filter, and users then came up with hashtags as a second filter. It’s time for a new round as Twitter becomes an essential part of our news ecosystem.

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March 13, 2013

[2b2k] Events are not the facts

The Tunisian newspaper Tunis Afrique Presse ran a story on the four priorities announced by that country’s new prime minister. It’s a straightforward story, and it is told in a factual, straightforward way.

But now I want to understand it. I know that some of the people involved in the revolution were disappointed that the new government was so Islamist. I know a moderate politician was assassinated there recently, which has destabalized the coalition government. But that’s about it for me. (I’m an American.) So, I read the four priorities of the new prime minister in the Tunisian article, and they seem positive from my point of view. But are they? Perhaps they are disappointing, or fail to address some key point, or are code for repressive policies. I don’t have enough context to know.

So, I go to Google and find a BBC article that fills in much of the context that I need. For example, I didn’t know the country has both a president and a prime minister. I couldn’t have told you anything at all about the coalition government, other than that it’s led by an Islamist party. To understand, we have to be just far enough away.

But what I really needed came from an “analysis” by Jim Muir embedded in the BBC article. Muir’s first paragraph says:

There was little in the announcement from Prime Minister-designate Ali Larayedh to inspire Ennahda’s [the ruling party] many critics to drop their opposition to the Islamist-led establishment in Tunisia.

Aha! Now I understand!

Of course, I’m assuming that Muir and I share some basic values, and that he’s attempting to give a sincere and honest assessment. I assume that based on cues: It’s the BBC, it’s marked as “analysis” and not “opinion,” the rhetoric isn’t obviously skewed away from my own views. To understand we need to have a lot in common with the person we’re learning from. I would thus be foolish to seek out, say, a Jihadist as my first source, although it might be quite interesting to read such a source as a second source.

We are right to learn what happened from people with whom we share values and assumptions because that way we don’t have to initially dig through a whole bunch of stuff that is either wrong from our point of view or incomprehensible to that point of view. But there’s also another reason:

I want to know what happened. But what happened in Tunisia was not that some personage uttered some words. What happened was that the Islamist party failed to forge a coalition that is likely to bring that country stability. In the same way, what happened last November was not the aggregated sum of factual accounts of how people marked X’s on ballots, and was not even the county-by-county vote tallies. If you started to tell me all of that, I’d be shouting until blue in the face, “But who won the election????” because that’s what happened. Events happen, and events have meaning, which means they only show up from a point of view. Events at the level of knowledge are not a mere recital of facts.

Newspapers for a long time have realized that much of their continuing value comes from the analyses they provide, not just the reportage. But the newspapers’ culture still tends in the other direction. And if you’re not sure that’s right, ask yourself why the analysis was a sidebar to the reportage, instead of the other way around.

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February 23, 2013

[2b2k] Why it’s ok to get your news through people who share your beliefs

I was steeling myself a couple of days ago to say something in a talk that believe but don’t want to: We shouldn’t feel guilty about relying on sources with whom we agree to contextualize breaking news. It’s ok. It’s even rational.

For example, if the Supreme Court hands down a ruling I don’t understand, or the FCC issues a policy that sounds like goobledygook to my ears, I turn to sites whose politics I basically agree with. On the one hand, I know that that’s wrong on echo chamber grounds: I’m getting reconfirmed in beliefs that I instead should be challenging. On the other hand, if I want to understand a new finding in evolutionary biology I’m not going to go to a creationist site, and if I want to understand the implications of a change in Obamacare, I’m not going to go to a Tea Party site. [Hint: I'm a liberal.] Oh, I might go afterwards to see what Those Folks are thinking, but to understand something, I’m going to go first to people with whom I basically agree.

Unfortunately, saying that in my talk meant I’d have to acknowledge that if I can to go to, say, DailyKos for primary contextualization, then it’s fine for right-wingers go to Fox News. Then I was going to have to explain how Fox and DailyKos are not truly equivalent, since Kos acknowledges facts that are unpleasant for their beliefs, and because Kos allows lots and lots of community participation. But that’s a distraction: If it’s ok for me to go to a lefty site to contextualize my news, it’s ok for you to go to your righty site. That feels wrong to me, and not only because I think right sites are wrong.

I finally realized that I’ m using the wrong sort of sites for my example. I do feel queasy about recommending that people get news interpreted for them by going to sites that operate in the broadcast mode. Fox News is like that. So are Slate and Salon, although to a lesser extent because they allow comments and because they present themselves as opinion sites, not news sites. Kos much less so because of the prominence of blogs and community. But I have no bad feelings whatsoever about taking my questions about the news to my social networks.

Because I’m old, much of social networking occurs on mailing lists. Some of the lists are based on topic, and contain people who broadly agree, but who disagree about most of the particulars; that’s what conversations are for. For example, a couple of the lists I’m on this morning are talking about what it would mean if Tom Wheeler [someone give that man a Wikipedia page!] were appointed as Chair of the FCC as seems increasingly likely. Tom comes out of the cable TV industry, which raises suspicions on my side of the swimming pool. So there has been an active set of discussions on my mailing lists among people who know much more than I do. The opinions range from he’s likely to be relatively centrist (although veering to the wrong side, where “wrong” is generally agreed upon by the list) to he’s never once stood up for users or for increasing competition and openness. Along the way, people have pointed out the occasional good point about him, although overall the tenor is negative and depressed.

Now, do I need to hear from the cable and telecoms industry about what a wonderful choice Tom would be? Sure, at some point. I even need to have my more fundamental views challenged. At some point. But not when I’m trying to find out about who this Tom Wheeler guy is. If we take understanding as a tool used for a purpose, it becomes a wildly inefficient tool — a hammer that’s all handle — if we have to go back to first principles in order to understand anything. Understanding is an efficient tool because it’s incremental: Given that I favor a wildly open Internet and given that I favor achieving this via vigorous competition, then what should I make of a Tom Wheeler FCC chairmanship? That’s my question this morning, not whether an wildly open Internet is a good thing and not whether the best way to achieve this is by increasing competition. Those are fine questions for another morning, but if I have to ask those questions every time I hear something about the FCC, then understanding has failed at its job.

So, I don’t feel bad about consulting my social network for help understanding the news.

And now, like the fine print in an offer that’s too good to be true, here are the caveats: My social networks may not be typical. Some types of news need more fundamental challenge than others. Reliance exclusively on social networks for news may put you into an impenetrable filter bubble. I acknowledge the risks, but given the situatedness of understanding, every act of interpretation is risky.

And yet there is something right in what I’m saying. I know this because going to “opposition” sites to understand the meaning of particular FCC appointments would require me to uncertainly translate out of their own unstated assumptions, and sites that try for objectivity don’t have the nuanced conversations enabled by shared, unstated assumptions. So, there is something right in what I’m saying, as well as risk and wrongness.


February 15, 2013

[2b2] Data, facts, and the comfort of decisions

Just a quick note updating my post yesterday about the musky Tesla-Times affair. [('m in an airport with just a few minutes before boarding.)

Times Man John Broder has posted his step-by-step rebuttal-explanation-apologia of Elon Musk's data-driven accusations that Broder purposefully drove a Tesla S into a full stop. Looked at purely as a drama of argument, it just gets more and more fascinating. But it is of course not merely a drama or an example; reputations of people are at stake, and reputations determine careers and livelihoods.

Broder's overall defense is that he was on the phone with Tesla support at most of the turning points, and followed instructions scrupulously. As a result, just about every dimension of this story is now in play and in question: Were the data accurate or did Broder misremember turning on cruise control? Were the initial conditions accounted for (e.g., different size wheels)? Were the calculations based on that data accurate, or are the Tesla algorithms off when the weather is cold? Does being a first-time driver count as a normal instance? Does being 100% reliant on the judgment of support technicians make a test optimal or atypical? Should Broder have relied on what the instruments in the car said or what Support told him? If a charging pump is in a service area but no one sees it, does it exist?

And then there's the next level. We humans live with this sort of uncertainty — multi-certainty? — all the time. It's mainly what we talk about when given a chance. For most of us, it's idle chatter — you get to rail against the NY Times, I get to write about data and knowledge, and Tesla car owners get to pronounce in high dudgeon. Fun for all. But John Broder's boss is going to have to decide how to respond. It's quite likely that that decision is going to reflect the murky epistemology of the situation. Evidence will be weighed and announced to be probabilistic. Policy guidelines will be consulted. Ultimately the decision is likely to be pegged to a single point of policy, phrased as something like, "In order to maintain the NYT's reputation against even unlikely accusations, we have decided to ..." or "Because our reviewer followed every instruction given him by Tesla..." Or some such; I'm not trying to predict the actual decision, but only that it will prioritize one principle from among dozens of possibilities.

Thus, as is usually the case, the decision will force a false sense of closure. It will pick one principle, and over time, the decision will push an even grosser simplification, for people will remember which way the bit flipped — fired, suspended, backed fully, whatever — but not the principle, not the doubt, not the unredeemable uncertainty. This case will become yet one more example of something simple &mdash masking the fathomless complexity revealed even by a single review of a car.

That complexity is now permanently captured in the web of blue underlined text. We can always revisit it. But, we won't, because the matter was decided, and decisions betray complexity.

[Damn. Wish I had time to re-read this before posting! Forgive typos, thinkos, etc.?]


February 14, 2013

[2b2k] The public ombudsman (or Facts don’t work the way we want)

I don’t care about expensive electric sports cars, but I’m fascinated by the dustup between Elon Musk and the New York Times.

On Sunday, the Times ran an article by John Broder on driving the Tesla S, an all-electric car made by Musk’s company, Tesla. The article was titled “Stalled Out on Tesla’s Electric Highway,” which captured the point quite concisely.

Musk on Wednesday in a post on the Tesla site contested Broder’s account, and revealed that every car Tesla lends to a reviewer has its telemetry recorders set to 11. Thus, Musk had the data that proved that Broder was driving in a way that could have no conceivable purpose except to make the Tesla S perform below spec: Broder drove faster than he claimed, drove circles in a parking lot for a while, and didn’t recharge the car to full capacity.

Boom! Broder was caught red-handed, and it was data that brung him down. The only two questions left were why did Broder set out to tank the Tesla, and would it take hours or days for him to be fired?


Rebecca Greenfield at Atlantic Wire took a close look at the data — at least at the charts and maps that express the data — and evaluated how well they support each of Musk’s claims. Overall, not so much. The car’s logs do seem to contradict Broder’s claim to have used cruise control. But the mystery of why Broder drove in circles in a parking lot seems to have a reasonable explanation: he was trying to find exactly where the charging station was in the service center.

But we’re not done. Commenters on the Atlantic piece have both taken it to task and provided some explanatory hypotheses. Greenfield has interpolated some of the more helpful ones, as well as updating her piece with testimony from the tow-truck driver, and more.

But we’re still not done. Margaret Sullivan [twitter:sulliview] , the NYT “public editor” — a new take on what in the 1960s we started calling “ombudspeople” (although actually in the ’60s we called them “ombudsmen”) — has jumped into the fray with a blog post that I admire. She’s acting like a responsible adult by witholding judgment, and she’s acting like a responsible webby adult by talking to us even before all the results are in, acknowledging what she doesn’t know. She’s also been using social media to discuss the topic, and even to try to get Musk to return her calls.

Now, this whole affair is both typical and remarkable:

It’s a confusing mix of assertions and hypotheses, many of which are dependent on what one would like the narrative to be. You’re up for some Big Newspaper Schadenfreude? Then John Broder was out to do dirt to Tesla for some reason your own narrative can supply. You want to believe that old dinosaurs like the NYT are behind the curve in grasping the power of ubiquitous data? Yup, you can do that narrative, too. You think Elon Musk is a thin-skinned capitalist who’s willing to destroy a man’s reputation in order to protect the Tesla brand? Yup. Or substitute “idealist” or “world-saving environmentally-aware genius,” and, yup, you can have that narrative too.

Not all of these narratives are equally supported by the data, of course — assuming you trust the data, which you may not if your narrative is strong enough. Data signals but never captures intention: Was Broder driving around the parking lot to run down the battery or to find a charging station? Nevertheless, the data do tell us how many miles Broder drove (apparently just about the amount that he said) and do nail down (except under the most bizarre conspiracy theories) the actual route. Responsible adults like you and me are going to accept the data and try to form the story that “makes the most sense” around them, a story that likely is going to avoid attributing evil motives to John Broder and evil conspiratorial actions by the NYT.

But the data are not going to settle the hash. In fact, we already have the relevant numbers (er, probably) and yet we’re still arguing. Musk produced the numbers thinking that they’d bring us to accept his account. Greenfield went through those numbers and gave us a different account. The commenters on Greenfield’s post are arguing yet more, sometimes casting new light on what the data mean. We’re not even close to done with this, because it turns out that facts mean less than we’d thought and do a far worse job of settling matters than we’d hoped.

That’s depressing. As always, I am not saying there are no facts, nor that they don’t matter. I’m just reporting empirically that facts don’t settle arguments the way we were told they would. Yet there is something profoundly wonderful and even hopeful about this case that is so typical and so remarkable.

Margaret Sulllivan’s job is difficult in the best of circumstances. But before the Web, it must have been so much more terrifying. She would have been the single point of inquiry as the Times tried to assess a situation in which it has deep, strong vested interests. She would have interviewed Broder and Musk. She would have tried to find someone at the NYT or externally to go over the data Musk supplied. She would have pronounced as fairly as she could. But it would have all been on her. That’s bad not just for the person who occupies that position, it’s a bad way to get at the truth. But it was the best we could do. In fact, most of the purpose of the public editor/ombudsperson position before the Web was simply to reassure us that the Times does not think it’s above reproach.

Now every day we can see just how inadequate any single investigator is for any issue that involves human intentions, especially when money and reputations are at stake. We know this for sure because we can see what an inquiry looks like when it’s done in public and at scale. Of course lots of people who don’t even know that they’re grinding axes say all sorts of mean and stupid things on the Web. But there are also conversations that bring to bear specialized expertise and unusual perspectives, that let us turn the matter over in our hands, hold it up to the light, shake it to hear the peculiar rattle it makes, roll it on the floor to gauge its wobble, sniff at it, and run it through sophisticated equipment perhaps used for other purposes. We do this in public — I applaud Sullivan’s call for Musk to open source the data — and in response to one another.

Our old idea was that the thoroughness of an investigation would lead us to a conclusion. Sadly, it often does not. We are likely to disagree about what went on in Broder’s review, and how well the Tesla S actually performed. But we are smarter in our differences than we ever could be when truth was a lonelier affair. The intelligence isn’t in a single conclusion that we all come to — if only — but in the linked network of views from everywhere.

There is a frustrating beauty in the way that knowledge scales.


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