Of course not. We know how it is living in the trump times.
Like anyone can claim a reward for a false flag murder anyway.
I don’t know about y’all, but I know for sure who shot Kirk. It was the old man that lives at 1600 Pennsylvania Avenue NW in Washington, D.C… He is constantly using violent rhetoric and threatening anyone not white. He’s scaring the neighbors. That’s the guy that did it.
Kirk probably wouldn’t be dead right now if Trump wasn’t elected, I fully believe that in some way or another
You know, I was actually like “Kirk who?” for a second.
May we all move on to “Kirk who?” that quickly.
True. I disliked all his talking points but he hasn’t been a part of my zeitgeist.
I 100% assume that the McDonald’s employee who called on him is fake in some way, and they tracked him down through some kind of spy apparatus shit and just don’t want to give away their methods.
I have no evidence and I don’t really know how these things work, it just seems way way more plausible to me.
They didn’t track him down because he wasn’t the shooter.
That could be. I’m still vouching for the “conspiracy” that Luigi actually didn’t do anything but was selected as a lookalike scapegoat. The similar looks is what prompted the McDonald employee to call, and they incompetently called the police instead of the tip line.
Even if the tip was useful they can just claim to wasn’t and just not pay it out. Not like there’s an oversize process for it. Once they have the guy they can find the trail with whatever data they have and say they did it without the tip.
Ok, I’ll accept this conspiracy theory and add to it:
It was actually the surveillance software in the AI drive through.
Welcome to McDonalds
Would you like to report any serious crimes today?Hi, I’m a near ghost that has evaded capture against all odds, would you mind holding my bag o’ incriminating evidence while I order some nuggets?
President Not-Dead is excited about nuggies in his Huggies
It’s like the police always saying that they find a “passport” in the truck after some terrorist attack. They have inside informers and they don’t want to disclose them.
this isn’t a conspiracy theory to the people saying it is. these systems are well attested to exist already. predictive policing is already being used. fucking watch yourselves. big brother sees all.
Over the last 20 years for every $2000 in reward money offered by law enforcement in the United States, less than $4 has been paid.
or $1 per $500, or $2 per $1000. sorry, it was asking for fraction simplification
I’m sorry, you’re saying that only $1.214521 of every $607.2605 was paid out?
THIS IS AN OUTRAGE
Finally someone spells it out in a way I can understand. That’s outrageous now that it makes sense.
I didn’t know rewards were common but have never looked into that, who reports those numbers even? They sound fun to go through
I asked an LLM although many here hate that.
It basically said it’s very fragmented but many departments / organisations do publish their rewards information.
SEC, DOJ, Dept of state RFJ, FBI, DEA, Crime stoppers, and more.
You have to go and look at each one and consume that data ideally programmatically. The LLM has links you can try but I won’t post the output without consent.
Wow, yeah. People hate that you used an LLM, lol. Look at those down arrows.
I want all of the data. I see nothing wrong with LLM’s scraping government sites
I’ll paste the output. My prompt is below too so if you want to probe it for the best way. You could get it to make a program just have to keep pushing if stuff doesn’t work. I’m a developer so it helps if you know a little.
Prompt.
Where can I find data on reward money offered vs paid in the USA over the last 20 years
Reply Short answer — there’s no single complete national dataset.
Reward programmes are fragmented across federal agencies, state/local Crime Stoppers chapters, private bail/bounty firms, and corporate/financial whistleblower schemes. To build a 20-year “offered vs paid” series you’ll need to pull from several sources and (optionally) stitch them together.
Below are the best places to look (with examples and why they matter): 1. Federal whistleblower & reward programs (high-quality, machine-readable annual reports) • SEC — Office of the Whistleblower: publishes annual reports with amounts awarded each fiscal year (detailed PDFs). Great for securities whistleblower payments (large, consistent dataset since 2011).  • DOJ / Department of Justice press releases and program pages — DOJ has various reward/whistleblower programs (and a recent pilot program). Useful for criminal/corporate enforcement reward totals where reported.  • U.S. Department of State — Rewards for Justice (RFJ): posts individual reward offers and announcements (large, occasional awards). Good for transnational/terrorism-related reward offers.  2. Federal law enforcement (FBI, DEA, etc.) — press releases and “rewards” pages • The FBI and some other agencies publish individual reward offers (Ten Most Wanted, fugitive rewards) and occasional summaries. These are event-level (not neat annual totals), so you’d scrape press releases or file FOIA requests for bulk data.  3. Crime Stoppers (national + local chapters) — aggregated rewards paid • Crime Stoppers USA and many local chapters publish aggregate “Rewards Paid” and “Property Recovered” statistics (useful for local/community reward payouts). There are many chapter reports you can scrape/collect.  4. Private-sector and industry sources (bounty/bail industry, private reward platforms) • Bounty hunters / bail bond industry earnings and private reward platforms are private and fragmented — statistics exist in trade pieces, law reviews, and industry blogs but no central public dataset. See law reviews and industry reports for estimates.  5. News archives & academic evaluations • For historical context and one-off large reward offers (and sometimes totals), use major news archives, NCJRS/NIJ and academic reports (e.g., evaluations of Crime Stoppers). 
Practical approach to build the 20-year series
If your goal is an actual dataset (offered vs paid per year), I recommend this pipeline: 1. Decide scope — which kinds of rewards? (e.g., federal law-enforcement offers, whistleblower awards, Crime Stoppers/local rewards, private bounty/bail payments). 2. Pull high-quality federal reports first — SEC whistleblower annual reports, DOJ/State press release archives, FBI press releases. (These are the easiest to quantify.)  3. Scrape Crime Stoppers chapters — collect annual “rewards paid” numbers from national and major local chapters (they often publish totals).  4. Supplement with FOIA or API calls — for FBI/DOJ bulk records or if you need all reward offers (not just press releases). 5. Handle private/industry data as estimates — compile from industry reports, law journals, and news; treat these as less reliable.  6. Normalize & document assumptions — e.g., currency (nominal vs inflation-adjusted), whether “offered” is the maximum stated offer or the amount actually committed, and whether “paid” includes partial payments.
Useful starting links (to grab data now) • SEC Whistleblower Annual Report (FY2024 example).  • SEC newsroom (whistleblower award press releases).  • State Dept — Rewards for Justice program pages.  • FBI reward announcements / press releases.  • Crime Stoppers USA / sample local chapter stats pages. 
⸻
If you want, I can start pulling and assembling a first-pass dataset for you right now (for example: SEC whistleblower totals per year + Crime Stoppers national totals + notable federal reward offers per year) and deliver a CSV with year, source, offered (if available) and paid. Tell me whether to include or exclude (a) private bail/bounty payments, and (b) whether to inflation-adjust amounts — I’ll assume nominal USD if you don’t specify.
Snitches can’t afford stitches due to duplicitous economic machinations.
Snitches can’t afford stitches due to duplicitous
economic machinationsBitches.I laughed too hard about this.
They’re not looking for the culprit. They’re looking for $100k.
Gonna be a lot of false arrests and fingerpointing.
They used to say the rewards was for information leading to the conviction. If they don’t get a conviction, the reward is forfeit by default.
People are still gonna try though. They just have no legal recourse if the reward is not paid.
They just have no legal recourse if the reward is not paid.
Even if they did, anyone desperate enough for the vague promise of money isn’t going to have enough of it to hire a lawyer.
Not only that, but one has to go through the FBI’s tip line directly to be eligible. The McDonald’s snitch called the police instead.
They just have no legal recourse if the reward is not paid.
To be clear, it’s because while promissory estoppel and unilateral contracts are a very real thing you can sue over, sovereign immunity keeps that from being an option, particularly federally. If some private organization offered the reward you’d be fine, but when it is a sovereign immune government that hasn’t waved it’s immunity you’re fucked.
Jokes on us. The taste of boot is all the reward they need.
It’s better than that stuff they serve at McDonald’s.
That’s not really a shower thought
You’ve obviously never showered with me…
