Most of my work on government stimulus focuses on economic theory and evidence.
But every so often it’s a good idea to remind ourselves of the ridiculous ways that government wastes money.
Here are some details from a boondoggle in West Virginia.
Nobody told Hurricane librarian Rebecca Elliot that the $22,600 Internet router in the branch library’s storage closet was powerful enough to serve an entire college campus. Nobody told Elliot how much the router cost or who paid for it. Workers just showed up and installed the device. They left behind no instructions, no user manual. The high-end router serves four public computer terminals at the small library in Putnam County. …The state of West Virginia is using $24 million in federal economic stimulus money to put high-powered Internet computer routers in small libraries, elementary schools and health clinics, even though the pricey equipment is designed to serve major research universities, medical centers and large corporations, a Gazette-Mail investigation has found. …The Cisco 3945 series routers, which cost $22,600 each, are built to serve “tens of thousands” of users or device connections, according to a Cisco sales agent. The routers are designed to serve a minimum of 500 users. Yet state broadband project officials directed the installation of the stimulus-funded Cisco routers in West Virginia schools with fewer than a dozen computers and libraries that have only a single terminal for patrons.
Sounds like the government could have bought every user a laptop and squandered less money.
It’s important to realize that this type of boondoggle is the rule, not the exception. Every so often, we see stories about absurd waste, such as the $423,000 study to find out that men don’t like to wear condoms, the Pentagon spending $900 on a $7 control switch, or a $100,000 library grant to a city without a library.
We should get upset about these examples. But remember that the second cartoon in this post is exactly right. The waste, fraud, and pork that we find out about is dwarfed by what remains hidden.