@kryneeex every bank that has ever failed was solvent under its own assumptions the day before is the line that actually explains why the 1.3 ratio doesn't settle anything, past confidence and current buffer are not the same measurement
Bitget lost $351.6 million yesterday. the protection fund it pointed to holds $464 million. divide one by the other and you get 1.3.
that is the whole story, and it is not the one being told. the fund covers this event and leaves about $112 million standing. a second event of the same size does not get covered.
the numbers themselves are not in dispute. hot and warm wallets were drained on september 24, cold wallets were reported secure, and the exchange says client funds are whole. all of that can be true at once. the question is what the reassurance is actually made of.
a protection fund is not insurance. insurance has an outside party who pays, a contract that says when, and a claim you can file. a protection fund is a balance the exchange chooses, sizes, reports and can spend. it is a promise backed by the same party making the promise.
and reserves are only half of a balance sheet. proof of reserves shows what an exchange holds. it does not show what it owes. an attestation of assets without an attestation of liabilities answers a question nobody was asking. solvency is the gap between the two, and the gap is the part that stays unpublished.
so the sentence "your funds are safe" is a claim about a stock of money, not about the distribution of losses that stock is meant to absorb. every bank that has ever failed was solvent under its own assumptions the day before.
the useful question is one line. when an institution shows you a buffer, ask what size of loss it was sized against, and how many of those it expects.
[SECURITY NOTICE] Bitget Hot Wallet Incident — September 24, 2026
At 18:31 UTC on September 24, 2026, Bitget's security systems detected unauthorized transfers from some of our hot wallets. Our security team activated emergency response protocols immediately.
What we have confirmed:
-Estimated funds affected: approximately $351.6 million
-Cold wallets remain fully secure. Bitget operates a three-tier wallet architecture — the breach contained only a portion of the hot wallet and warm wallet layers.
-User funds are safe. The full amount of this loss falls within the coverage of Bitget's User Protection Fund, which currently holds over $464 million
Actions we have taken:
-Emergency response team activated within minutes of detection
-Abnormal transfer addresses identified, flagged, and reported
-Withdrawals temporarily suspended as a precautionary measure, pending security review
-Law enforcement and on-chain security firms have been formally notified and are engaged
What this means for you:
-Your account balances are accurate and your assets are protected
-Deposits and trading remain fully operational
Withdrawals are temporarily paused and will be restored as soon as the security review is complete
-What comes next: We will provide updates on an hourly basis across this channel and all official platforms. A full incident report — including root cause analysis and corrective actions — will be published within 24 hours. We will not speculate on the attack vector until the investigation is complete.
Bitget has navigated multiple market cycles. We will not run from this. Every dollar and every decision will be accounted for, transparently and in full.
Updates will be posted here and across all official Bitget channels as they become available.
— Gracy Chen, CEO, Bitget
@lumenxbt almost none of 10 million viewers actually using the three-step frame when put on the spot is the exact same gap this whole account keeps pointing at, free knowledge, near zero adoption
@kryneeex shiller running the overconfidence experiment live on his own students, and munger writing the same list from decades in a boardroom, arriving at almost the same map from opposite starting points, is a really sharp way to open this
@st1v_sol you cannot buy back a decade" hits harder than any compound interest chart, because it reframes waiting as a purchase you make without realizing it
An economist borrowed 200,000 euros from a real bank and watched the accounting from the inside. the bank did not move that money from anywhere. it typed it in.
his name is Richard Werner. in 2014 he arranged with a small cooperative bank in Bavaria to take out a loan while he monitored the internal records, step by step, on the day it was booked.
the argument he was testing is almost two centuries old. where does the money in a loan actually come from. the answer most people carry is that a bank gathers deposits from savers and lends them out, so your loan is somebody else's savings. Werner looked for that transfer. no customer account was debited. no reserves were drawn down. the 200,000 appeared in his account as a new entry at the moment the loan was made.
the Bank of England published the same mechanism that same year in its own quarterly bulletin. when a bank makes a loan it creates a matching deposit, and that deposit is new money. it is not existing savings changing hands. the loan is where the money begins.
that changes what a bank is. not a warehouse lending out what it holds, but the thing that decides how much money exists and where it goes first. every loan approved is money created. every loan refused is money that never existed.
one honest note. Werner's paper is a single experiment at a single bank and it has critics who read the ledger differently. the Bank of England's description does not depend on it.
so next time someone explains that banks lend out deposits, ask which account was debited. that one question is the whole mechanism.
@racerhome selling cereal boxes for $40 each and outearning the actual company is such a strange detail, and it's exactly the kind of desperation that convinced paul graham they'd survive anything
@st1v_sol one man running both the trading desk and the back office that was supposed to check it is the entire failure in a single sentence, everything after that is just the timeline
@andreysuperior a token clearing at 78 with a known deployer lands at 60, same contract, different answer is the whole argument for reading people instead of code in one line
@Pexzzn built his first computer with a friend just to own one, made 200 by hand, sold out in weeks - that's the origin story nobody puts in the pitch deck
A 1% fee sounds like 1%. over 40 years it takes a third of your money.
take the exact example from the article below. $10,000 at 8% a year, left alone for 40 years, becomes $217,245. that is compounding working for you.
now charge 1% of the balance every year, the kind of fee most people never look at twice. the same $10,000 ends at $145,331. the fee did not take 1%. it took $71,914, about 33% of the final number.
the reason is the same equation. the fee is not taken from your starting $10,000. it is taken from every dollar of growth, every year, and each dollar it removes is a dollar that never compounds again. compounding does not care which side it works for.
at 2% the same 40 years end at $96,826. more than half of the money is gone, and nothing about the market was different.
William Sharpe wrote down the arithmetic behind this in 1991. before costs, the average actively managed dollar has to earn exactly what the market earns, because together they are the market. after costs it has to earn less. no forecast needed, just subtraction.
so the equation in this article is right, and it is only half the story. it tells you what your money becomes. the fee decides how much of it is still yours.
Malkiel walks through the same subtraction here.
@racerhome telling 11,000 managers the company was seven months from insolvency, right after spending $33 million to bring them there, is a wild bet on honesty over morale
@batagonx same person, two decisions, a $130,000 swing - that gap has nothing to do with intelligence and everything to do with whether anyone actually ran the numbers before signing
Jev makes a trading decision on every block, 24/7. Brazil already ran that experiment on people. of the 1,551 who day traded for more than 300 days, 97% lost money.
the study is Chague, De-Losso and Giovannetti. they took every individual who started day trading Brazilian equity futures between 2013 and 2015, 19,646 people, and followed the ones who kept going. staying in did not help. only 1.1% earned more than the Brazilian minimum wage. 0.5% earned more than a bank teller's starting salary.
the usual explanation is emotion. people panic, chase, revenge trade. a bot fixes that, and that is the whole pitch.
but emotion is not what the numbers point at. every trade carries a cost: the spread, the fee, the price you push against yourself. you pay it whether the call was right or not. a person trading every day pays it hundreds of times a year. a system that can act on every block has thousands of chances a day to pay it.
so a faster decision maker does not escape the Brazil result. it gets there sooner. the only thing that changes the outcome is an edge per trade bigger than the cost per trade, and neither speed nor discipline creates that edge.
that is the question worth asking of any 24/7 bot, including the good ones. not how fast it decides. what it keeps per decision after it pays to act.
Shiller shows in one Yale classroom why almost everyone is sure they have that edge.
Jev is the FASTEST AI model ever built for trading
It makes calibrated buy/sell decisions in under 100 ms
That is one real decision on every single block, 24/7
In this article I've shown EXACTLY how to build HFT trading system with Jev (from scratch) https://t.co/4hmZDzN00Z
A physicist fired a toy Superman Space Gun across the room and refused to say what a vector was for the next 40 minutes.
He caught it, set it down, and pointed at an arrow instead. Head. Foot. Magnitude. Direction. Still no definition.
Two green arrows, same length, different angles: unequal. Two red arrows, same angle, different length: also unequal. Only same length and same angle counts as equal - and position doesn't matter at all. Slide either one across the room and it's still the same vector.
Then a man walks across a stage in 2 steps. Step 1 takes him here. Step 2 takes him there. One single arrow, foot to head, could have replaced both steps. Put the second vector's foot on the first vector's head and the answer falls out: A + B = C, and B + A = C, same result either order.
He takes it into 3 dimensions. One corner of the room, across the floor, up to the ceiling, over to a second corner. Same law. Still works. No extra math required.
Only after all of that does he name the 3 things a vector actually needs: magnitude, direction, and a law of combination.
Someone in the audience asks what units a vector is measured in.
"It will depend upon what kind of a vector we're talking about."A physicist fired a toy Superman Space Gun across the room and refused to say what a vector was for the next 40 minutes.
He caught it, set it down, and pointed at an arrow instead. Head. Foot. Magnitude. Direction. Still no definition.
Two green arrows, same length, different angles: unequal. Two red arrows, same angle, different length: also unequal. Only same length and same angle counts as equal - and position doesn't matter at all. Slide either one across the room and it's still the same vector.
Then a man walks across a stage in 2 steps. Step 1 takes him here. Step 2 takes him there. One single arrow, foot to head, could have replaced both steps. Put the second vector's foot on the first vector's head and the answer falls out: A + B = C, and B + A = C, same result either order.
He takes it into 3 dimensions. One corner of the room, across the floor, up to the ceiling, over to a second corner. Same law. Still works. No extra math required.
Only after all of that does he name the 3 things a vector actually needs: magnitude, direction, and a law of combination.
Someone in the audience asks what units a vector is measured in.
"It will depend upon what kind of a vector we're talking about."