Tootfinder

'In the local data that the audit examined from three [THREE] police forces, they identified clear evidence of “over-representation among suspects of Asian and Pakistani-heritage men”.
'However, the review also criticised the ongoing failure to collect ethnicity at a national level, with it not recorded for two-thirds of perpetrators, making it impossible “to provide any accurate assessment from the nationally collected data”.'
Not so conclusive then.

What is the Casey report on UK grooming gangs – and why did Labour U-turn?
The report addressed the UK’s institutional failure to protect children and teenage girls from sexual exploitation.

#DJTs volatile #tariff tantrums are inflicting greater damage than expected, but those caustic cash crisis effects are largely concentrated in the U.S. economy according to analysis by global experts studying matter with Organisation for Economic Co-operation and Development.
Mfg data in US at lowest numbers since 2009…

America is the biggest loser in Trump's trade war, OECD says
A brutal new forecast shows slowing economic growth. The irony? The U.S. is suffering the most from its own tariff policy

Diffusion index forecasts under weaker loadings: PCA, ridge regression, and random projections
Tom Boot, Bart Keijsers
https://arxiv.org/abs/2506.09575 htt…

Diffusion index forecasts under weaker loadings: PCA, ridge regression, and random projections
We study the accuracy of forecasts in the diffusion index forecast model with possibly weak loadings. The default option to construct forecasts is to estimate the factors through principal component analysis (PCA) on the available predictor matrix, and use the estimated factors to forecast the outcome variable. Alternatively, we can directly relate the outcome variable to the predictors through either ridge regression or random projections. We establish that forecasts based on PCA, ridge regres…

Trade Unionists Against the Benefit Cuts (UKPol)
Good letter, including both the principle of the thing and the likely outcomes in practice. Starmer & co should take note.
"We the undersigned are trade unionists opposed to the Universal Credit and Personal Independence bill, designed to restrict access to PIP and to reduce the sickness element (LCWRA) of UC. We believe this is shameful anti-worker and anti-working class legislation. ...
"Not only will these cuts cause increased financial hardship for some of those made vulnerable by a disabling society, but will also add considerable expenses and a much increased workload to workers in several sectors. This is because more people will be plunged into debt. More people will be served with eviction notices... Cutting incomes will push people further from work...
"The Disability Policy thinktank forecast that the cuts will lead to £1.2bn in extra costs for the NHS and local care services provided by councils, raising the alarm for both councillors and MPs whether the cuts will backfire even on their own economic terms."
Still accepting signatures:
#disability #benefits #unions #NHS #debt #UK #UKPol

Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
Md. Yeasin Rahat, Rajan Das Gupta, Nur Raisa Rahman, Sudipto Roy Pritom, Samiur Rahman Shakir, Md Imrul Hasan Showmick, Md. Jakir Hossen
https://arxiv.org/abs/2506.09851

Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
The prediction of foreign exchange rates, such as the US Dollar (USD) to Bangladeshi Taka (BDT), plays a pivotal role in global financial markets, influencing trade, investments, and economic stability. This study leverages historical USD/BDT exchange rate data from 2018 to 2023, sourced from Yahoo Finance, to develop advanced machine learning models for accurate forecasting. A Long Short-Term Memory (LSTM) neural network is employed, achieving an exceptional accuracy of 99.449%, a Root Mean Sq…