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OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
588•klaussilveira•11h ago•169 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
893•xnx•16h ago•542 comments

How we made geo joins 400× faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
93•matheusalmeida•1d ago•22 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
20•helloplanets•4d ago•11 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
26•videotopia•4d ago•0 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
199•isitcontent•11h ago•24 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
199•dmpetrov•11h ago•91 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
311•vecti•13h ago•136 comments

Microsoft open-sources LiteBox, a security-focused library OS

https://github.com/microsoft/litebox
352•aktau•17h ago•176 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
353•ostacke•17h ago•92 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
454•todsacerdoti•19h ago•228 comments

Delimited Continuations vs. Lwt for Threads

https://mirageos.org/blog/delimcc-vs-lwt
21•romes•4d ago•2 comments

Dark Alley Mathematics

https://blog.szczepan.org/blog/three-points/
80•quibono•4d ago•18 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
255•eljojo•14h ago•154 comments

PC Floppy Copy Protection: Vault Prolok

https://martypc.blogspot.com/2024/09/pc-floppy-copy-protection-vault-prolok.html
53•kmm•4d ago•3 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
390•lstoll•17h ago•263 comments

Was Benoit Mandelbrot a hedgehog or a fox?

https://arxiv.org/abs/2602.01122
5•bikenaga•3d ago•1 comments

How to effectively write quality code with AI

https://heidenstedt.org/posts/2026/how-to-effectively-write-quality-code-with-ai/
231•i5heu•14h ago•177 comments

Why I Joined OpenAI

https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
118•SerCe•7h ago•97 comments

Show HN: R3forth, a ColorForth-inspired language with a tiny VM

https://github.com/phreda4/r3
68•phreda4•10h ago•12 comments

I spent 5 years in DevOps – Solutions engineering gave me what I was missing

https://infisical.com/blog/devops-to-solutions-engineering
136•vmatsiiako•16h ago•59 comments

Zlob.h 100% POSIX and glibc compatible globbing lib that is faste and better

https://github.com/dmtrKovalenko/zlob
12•neogoose•3h ago•7 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
25•gmays•6h ago•7 comments

Introducing the Developer Knowledge API and MCP Server

https://developers.googleblog.com/introducing-the-developer-knowledge-api-and-mcp-server/
44•gfortaine•9h ago•13 comments

Understanding Neural Network, Visually

https://visualrambling.space/neural-network/
271•surprisetalk•3d ago•37 comments

I now assume that all ads on Apple news are scams

https://kirkville.com/i-now-assume-that-all-ads-on-apple-news-are-scams/
1042•cdrnsf•20h ago•431 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
171•limoce•3d ago•90 comments

FORTH? Really!?

https://rescrv.net/w/2026/02/06/associative
60•rescrv•19h ago•22 comments

Show HN: ARM64 Android Dev Kit

https://github.com/denuoweb/ARM64-ADK
14•denuoweb•1d ago•2 comments

Show HN: Smooth CLI – Token-efficient browser for AI agents

https://docs.smooth.sh/cli/overview
89•antves•1d ago•64 comments
Open in hackernews

The Business of Betting on Catastrophe

https://thereader.mitpress.mit.edu/the-business-of-betting-on-catastrophe/
92•anarbadalov•7mo ago

Comments

MarkusQ•7mo ago
This reminds me of the predator hierarchy (for example, see Colinvaux's "Why Big Fierce Animals are Rare"): the reinsurers spread the risk from various insurers and for various catastrophes around among a pool of meta-insurers. But this pool is necessarily smaller than that of primary insurers, and their risks more likely to be correlated (catastrophes can cause other catastrophes, and multiply primary insurers can be affected by the same catastrophe).

For that matter, I'm also reminded of credit default swaps, and Lehrer's "We Will All Go Together When We Go."

falseprofit•7mo ago
One aspect worth pointing out is that ILS are transferring insurance risk outside of the insurance industry. Appetite has gone up and down but e.g. hedge funds would normally not be available to assume insurance risk otherwise.
kqr•7mo ago
Reinsurance does not only spread risk by pooling multiple insurers, but also smears out the impact of catastrophes geographically and temporally: big events in one year, in one part of the world result in more expensive reinsurance all over the globe for a few years forward, as reinsurers collectively stock up on capital again.

So while locally catastrophes can cause other catastrophes, for the most part earthquakes in Thailand does not trigger wildfires in Texas. Nor does a hurricane in Florida one year cause more hurricanes in Florida the next year.

simicd•7mo ago
It's correct that the number of reinsurers is smaller than that of primary insurers. But the risk born by reinsurers is less correlated, not more. Any given primary insurer has risk clusters (domestic market, line of business, etc.). If a large catastrophe happens in their domestic market they might go bust but what are the chances that it happens simultaneously to all markets globally?

Say you're a primary home insurer in the US. If a hurricane hits you might not have enough capital to rebuild all the homes. A reinsurer which is also covering Europe, Asia, LatAm, etc. is less likely to go bankrupt. The reinsurer can cross-subsidize and use the insurance premiums from other regions to pay out the claims from the US market. All that matters is that on average the loss probabilities and severities are estimated correctly.

And this is just using one line of business as example, reinsurers are covering property, casualty, life and health which add extra layers of diversification.

Onavo•7mo ago
Not sure what the controversy here is. Catastrophe risk is the bread and butter of property insurance.
falseprofit•7mo ago
Felt like the article ended before a thesis statement.
gwern•7mo ago
> She is the author of “Investable! When Pandemic Risk Meets Speculative Finance – A Cautionary Tale,” from which this article is adapted.

So I think structurally, the conclusion here is that 'cat bonds are an example of how insurers can work with abstract risks, and so any risk (such as global pandemic) could be worked with this way', and the rest of the book then examines how people are trying to actually do so with pandemic risk.

panguma•7mo ago
Read the book, it’s in there.
PaulHoule•7mo ago
But as traditional insurance, not cat bonds.
Onavo•7mo ago
I mean eventually once you proceed down the financial tree you get reinsurance linked securities. It's been this way for decades. It nothing new.
grvdrm•7mo ago
Indeed. Simplified:

Insured->Broker->Insurer->ReinsuranceBroker->Reinsurer

Here, where you see reinsurer, instead may be: ILS fund Cat Bond

munificent•7mo ago
> New “efficiency features” regularly get introduced in ILS and written into contracts. One of the most transformative has been the use of parametrics. Unlike traditional insurance, which calculates payouts based on actual losses (what’s called indemnity), parametric insurance uses preset triggers to determine whether money gets released. During an interview, a London-based parametric expert gave me this example of a parametric scenario: If, during a hurricane, wind speeds off the Florida coast hit a predetermined trigger speed — say 175 mph — at a trigger distance of two miles offshore within a preset longitude and latitude grid, the payout is, in theory, immediate. No actual damage need occur; the trigger measures just need to be met.

Wow, that is absolutely begging for exploitation.

Whoever controls the authority reporting these figures now controls whether these bonds pay out. That in turn means that whoever holds those bonds has a huge financial incentive to manipulate what that authority says.

Put another way, if you're holding a bond that will cost you $100 million if a hurricane windspeed hits 175 MPH, then you have $99 million bucks that are worth spending trying to get the NOAA to say anything but that.

gruez•7mo ago
The same incentive exists for economic figures (inflation linked bonds) and market prices (cash settled derivatives), and it's seemingly not an issue, and those are far easier to game than physical measurements like wind speed or whatever.
jallmann•7mo ago
Manipulation of reported economic numbers has been an issue in the past, see LIBOR.
krisoft•7mo ago
> and those are far easier to game than physical measurements like wind speed or whatever.

I’m not so sure about that. I bet that we could tamper with an anemometer somewhere out in a field. Easiest is to put brushless motor with a propeller next to it and blow propwash on it. More technically difficult is to tamper with the signal between the sensor and the station, or MitM the station.

If you are careful and only modifying the measurments when the weather is already crummy they might not even suspect.

singleshot_•7mo ago
Replace the anemometer cups with slightly larger ones.
56544562•7mo ago
> and it's seemingly not an issue

Sounds like you do see an issue after all. Is it obfuscated? Hidden in complexity? Is it artificial to appear as one thing while indirectly, as a side effect, leading to another?

jowea•7mo ago
There have some governments outside of the developed world accused of manipulating inflation numbers.
sokoloff•7mo ago
There have been allegations of the same in well-developed economies as well.
chii•7mo ago
Those well-developed economies' data is mostly corroborated by proxy measurements (like light levels, copper/electricity consumption etc).
polynox•7mo ago
The Libor scandal is not an issue?
kqr•7mo ago
Sure. Getting reliable data all parties can agree on is one of the biggest challenges to parametric insurance. The data sources I hear about most often are US governmental agencies – and this is a problem, since the US political system is not stable enough to finance its governmental agencies reliably. (Most recently I recall concerns around budget and staffing cuts for NOAA and USGS.)

That said, sane practice for parametric insurance is to have redundancy in data sources, and an agreed procedure for settling differences in conclusions resulting from relying on either of them alone.

soulofmischief•7mo ago
Goodhart's law continues to ring true.
dylan604•7mo ago
Taking your point of view now makes sense on why to defund NOAA, fire everyone that's not going to toe the line, and then have those that will parrot the necessary info to keep from paying out. Make Weather Great Again, just doesn't lend itself to a hat though
the_pwner224•7mo ago
People have already done this with NWS weather equipment for federal farm drought insurance: https://coloradosun.com/2024/09/08/patrich-esch-ed-dean-jage...
bgnn•7mo ago
In Turkey the mandatory earthquake insurance for homeowners is owned by the government. It triggers parametrically (> 7 magnitude). In one case at least [1] the government office responsible for announcing the magnitude, AFAD, declared it lower than this threshold although other countries and Turkish research institues measured it as 7.0 . At the end the insurance payout was so much more limited even for people who kist their house and loved ones.

As wiki page mentions in notes section AFAD declared this a 6.6 magnitude earthquake although it was 7.0 . [1] https://en.m.wikipedia.org/wiki/2020_Aegean_Sea_earthquake

timhigins•7mo ago
If you can prove the data was altered or tampered with you'd have a solid fraud case though I imagine proving it is the difficult part.
o1bf2k25n8g5•7mo ago
I thought you meant it could be gamed in the other direction...

Technically, if all the bond-holders get together, they could spend up to $99M building an extremely powerful, extremely tiny fan pointed directly at the sensor.

ethagnawl•7mo ago
... or purposely get sick and start coughing in crowded places.
vishnugupta•7mo ago
This reminds me of a scene from The Big Short.

Towards the end Mark Baum who has bought insurance on house index is frustrated why the index isn’t falling even as the house prices across America are plummeting and foreclosures are rising.

Maybe something fishy was going on.

PaulRobinson•7mo ago
The obvious counter to that is you’re going to define parameters based on multiple observers. NOAA is not the only authority on Earth who can state what a hurricane’s wind speed is.
ngold•7mo ago
So if it is 174 mph insurance pays nothing? After a hurricane destroys a town.
genedan•7mo ago
It depends on the details of the product. In theory you could get a product that doesn't have a cliff and it will be priced accordingly.

These are basically equivalent to options in finance.

paxys•7mo ago
As if pandemics weren't already political enough. Let's get large corporations, investment funds and billionaires involved and give them direct stake in declaring what is or isn't a pandemic, how many deaths have happened in a certain area, what was the cause of death etc. That should end well.
leemelone•7mo ago
This is the dumbest idea I've read about in a long time.
motoxpro•7mo ago
Why is it dumb?
danielfoster•7mo ago
I like to think I’m somewhat intelligent, but there’s something I don’t understand here. The article cites an example of pandemic bond holders receiving a return of 40% over 3 years and these bonds being a useful way for the issuer to secure needed funds in the event of a pandemic. Unless a pandemic happens every ~8 years, isn’t this a ridiculous and unsustainable risk premium to pay?
HillRat•7mo ago
The class B bonds paid roughly 11% over LIBOR, so about 40% over three years, against the risk of a viral outbreak for five different families, defined as At least two countries experiencing at least 250 fatal cases increasing over twelve weeks, so the trigger did not have to be as globally-significant as COVID-19 turned out to be. That’s a pretty aggressive coupon, but the chance of a regional outbreak was also pretty high.
danielfoster•7mo ago
Makes sense now, thank you! I feel like the author should have mentioned this.
panguma•7mo ago
Well, she did, in the book.
dmurray•7mo ago
Based on that description it would have been triggered by COVID-19, swine flu in 2009, and I think just missed out (depending on the fine print) on SARS in 2002. That's two or three in 18 years, so losing your money once every eight years is not far off the recent performance of this kind of bond.
21secondstogo•7mo ago
CTO at an ILS fund. Cat bonds are essentially securitised versions of fully collateralised reinsurance contracts where the premium is the coupon plus the return on collateral. A benefit being that you can trade them. They're not usually used for speculation as stated in the article - investors are typically pension funds looking for investments that are uncorrelated to traditional financial market risk. e.g. on a US hurricane exposed cat bond you may only lose money if a huge hurricane blows through Florida, no matter what credit and equities are doing. It's true that a lot of the deal sourcing is relationship-driven, but there is a good amount of data-driven tech involved in overlaying the insured's past claims and underwriting data on top of simulated catastrophe model output, applying your own view of climate, vendor model adjustments, hurricane activity etc.
bvan•7mo ago
And I thought I was the only ILS guy reading HackerNews..
21secondstogo•7mo ago
TwelveSecuris, London!
grvdrm•7mo ago
Me too. Wouldn’t say my comments make that obvious. But in/around the space too - portfolio manager.
genedan•7mo ago
Actuary here. I don't work in ILS but I'm familiar with what you're talking about.
throwaway422432•7mo ago
So, it's betting not on the outcome, but specifics of the event. The analogy could be sports betting where you bet on a player making a particular individual score, not just the win/loss.

At the end of the day, if it prevents bankrupting companies, countries and the insurers when an event occurs then it is a good thing.

I know of a Australian-based insurer that only operates in the far North primarily for residents who can't get reasonable premiums to cover for floods and cyclones from the major insurers. They reinsure with a global company so paying out an event in Australia is offset with no events elsewhere.

Interestingly the frequency of cyclones is decreasing, but the strength is projected to increase with "global warming": Higher water temperature = more energy. So betting on the strength makes sense.

PaulRobinson•7mo ago
Reading this as somebody who tries to solve betting markets with data and python, yeah, you’re right, this is just prop bets but with less data due to lower frequency events.

I honestly think there’s EV in this - you can expect some sports guys to be booking tickets to Baden-Baden next year if they find this article.