Was E-mail a Mistake? | The New Yorker
▻https://www.newyorker.com/tech/annals-of-technology/was-e-mail-a-mistake
The problem is that some of the computers might crash. If that happens, the rest of the group will end up waiting forever to hear from peers that are no longer operating. In a synchronous system, this issue is easily sidestepped: if you don’t hear from a machine fast enough, you can assume that it has crashed and ignore it going forward. In asynchronous systems, these failures are more problematic. It’s difficult to differentiate between a computer that’s crashed and one that’s delayed. At first, to the engineers who studied this problem, it seemed obvious that, instead of waiting to learn the preference of every machine, one could just wait to hear from most of them. And yet, to the surprise of many people in the field, in a 1985 paper, three computer scientists—Michael Fischer, Nancy Lynch (my doctoral adviser), and Michael Paterson—proved, through a virtuosic display of mathematical logic, that, in an asynchronous system, no distributed algorithm could guarantee that a consensus would be reached, even if only a single computer crashed.
A major implication of research into distributed systems is that, without synchrony, such systems are just too hard for the average programmer to tame. It turns out that asynchrony makes coördination so complicated that it’s almost always worth paying the price required to introduce at least some synchronization. In fact, the fight against asynchrony has played a crucial role in the rise of the Internet age, enabling, among other innovations, huge data centers run by such companies as Amazon, Facebook, and Google, and fault-tolerant distributed databases that reliably process millions of credit-card transactions each day. In 2013, Leslie Lamport, a major figure in the field of distributed systems, was awarded the A. M. Turing Award—the highest distinction in computer science—for his work on algorithms that help synchronize distributed systems. It’s an irony in the history of technology that the development of synchronous distributed computer systems has been used to create a communication style in which we are always out of synch.
Anyone who works in a standard office environment has firsthand experience with the problems that followed the enthusiastic embrace of asynchronous communication. As the distributed-system theorists discovered, shifting away from synchronous interaction makes coördination more complex. The dream of replacing the quick phone call with an even quicker e-mail message didn’t come to fruition; instead, what once could have been resolved in a few minutes on the phone now takes a dozen back-and-forth messages to sort out. With larger groups of people, this increased complexity becomes even more notable. Is an unresponsive colleague just delayed, or is she completely checked out? When has consensus been reached in a group e-mail exchange? Are you, the e-mail recipient, required to respond, or can you stay silent without holding up the decision-making process? Was your point properly understood, or do you now need to clarify with a follow-up message? Office workers pondering these puzzles—the real-life analogues of the theory of distributed systems—now dedicate an increasing amount of time to managing a growing number of never-ending interactions.
Last year, the software company RescueTime gathered and aggregated anonymized computer-usage logs from tens of thousands of people. When its data scientists crunched the numbers, they found that, on average, users were checking e-mail or instant-messenger services like Slack once every six minutes. Not long before, a team led by Gloria Mark, the U.C. Irvine professor, had installed similar logging software on the computers of employees at a large corporation; the study found that the employees checked their in-boxes an average of seventy-seven times a day. Although we shifted toward asynchronous communication so that we could stop wasting time playing phone tag or arranging meetings, communicating in the workplace had become more onerous than it used to be. Work has become something we do in the small slivers of time that remain amid our Sisyphean skirmishes with our in-boxes.
There’s nothing intrinsically bad about e-mail as a tool. In situations where asynchronous communication is clearly preferable—broadcasting an announcement, say, or delivering a document—e-mails are superior to messengered printouts. The difficulties start when we try to undertake collaborative projects—planning events, developing strategies—asynchronously. In those cases, communication becomes drawn out, even interminable. Both workplace experience and the theory of distributed systems show that, for non-trivial coördination, synchrony usually works better. This doesn’t mean that we should turn back the clock, re-creating the mid-century workplace, with its endlessly ringing phones. The right lesson to draw from distributed-system theory is that useful synchrony often requires structure. For computer scientists, this structure takes the form of smart distributed algorithms. For managers, it takes the form of smarter business processes.
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