My earlier book on Syria went on sale the week the World Bank published its estimate of what rebuilding the country would cost. My book said US$250 billion to US$400 billion. The Bank said US$216 billion. Here is what my range was missing, what else did not survive being checked, and why the corrections became a second book.
Survivorship bias is the term every quant knows and almost nobody makes actionable. Here is the one-number diagnostic I run before I trust any cross-sectional backtest: count the dead names as a share of your universe over a decade. If it is near zero, your data quietly deleted the losers and every result is biased upward.
Even a genuine edge dies if you deploy it too large. This is the field note on alpha-side risk: how your own market impact (capacity) and everyone else trading the same signal (crowding) shrink the size at which the edge is still yours, and the crossover test that tells you where your ceiling sits before the market finds it for you.
On 15 September 2026 the Ministry of Local Administration held a conference on real estate management and property rights and proposed four things: digitise the land registers, simplify procedures, steer development by property data, and find financing. None of the four decides whose name belongs in the register. That is settled by at least nine statutes, most written by the government this one replaced and every one still in force, and the conference named none of them. This piece sets the instruments out with their windows and remedies, reads the register's own coverage figures, follows one family through Law 33's six months, and puts five other states' claims mechanisms beside Syria's, on each body's own numbers.
A series mining the PhD thesis on London and UK office buildings (Azhari, 2025). Key takeaway. There is no single answer to what is a building in UK data: four agencies keep four definitions, and stock-level energy work has to build a synthesis, the Self-Contained Unit.
On 13 September 2026 diesel in Syria went from 125 to 175 new pounds a litre, and by Sunday afternoon roads were closed in four governorates. This piece sets out what the record establishes about that price and what it does not: a pricing committee with a list of factors and no formula, a world price the ministry cited but did not show, a stated need of 300,000 barrels a day of which a fifth is itemised, two import shares from one ministry on one day, and a population with nothing between it and the price. Five charts, every figure with its publisher, unit and date.
A candidate in my Titan system posted a Sharpe near 1.4, cleared every statistical gate, and still traced a drawdown so deep and so long that I could never have held it through the trough. Here is why Sharpe is blind to the path and the tail, the survival-metric suite (Sortino, Calmar, CVaR, CDaR) that sees what it misses, and the one rule it bought me: promote on Calmar lift, not Sharpe lift. All figures are illustrative and sanitised.