Bletchley Park Codebreaker Obituary: Ann Mitchell

The death of Ann Mitchell, aged 97, was just announced in Edinburgh.

One of only 5 women accepted to read mathematics at Oxford in 1940, she finished her degree a year early and went on to play a key role in Hut 6 “Machine Room” at Bletchley Park.

Hut 6 dealt with the high priority German army and air force codes, most important of which was the “Red” code of the Luftwaffe. They wrote out some of the jumbled nonsense which had been received and underneath wrote a “crib” of the probable German text. Ann’s key role was the next step in breaking the code, composing a menu that showed links between the letters in the text received and the crib, with the more compact the menu, the better. As every code for every unit of the German forces was changed at midnight, each day the work began all over again to identify clues to the new day’s codes. It was an intense intellectual process, working against the clock, and the urgency provided a constant challenge. Ann and her colleagues in Hut 6, most of whom had degrees in economics, law or maths, worked around the clock in shifts, with one free day each week. As the war came to a close, the number of messages declined until there were no more. “I did go up to London for VE Day on 8 May 1945 but I remember very little about the celebrations,” she said. The codebreakers returned to normal life and, having signed the Official Secrets Act and sworn not to divulge any information about her work, Ann never told anyone, not even her husband, about her wartime role.

She led a life of great service delivered quietly — her groundbreaking WWII work in mathematics was not officially recognized until 2009.

Women, whose stories have been told far less widely than the men they worked with, reportedly made up three-quarters of the workforce at Bletchley Park.

Whatever the reason for the remarkable women codebreakers to be rarely mentioned while their male colleagues were profiled, historians lately have been trying to update and correct the message.

Food for thought when you consider the origins of cyber security had such a high percentage of women, and yet in the latest surveys “women accounted for 10% of the cybersecurity workforce in the Asia-Pacific region, 9% in Africa, 8% in Latin America, 7% in Europe and 5% in the Middle East.”

Like many veterans after the war Ann contributed to other areas. She researched social impacts of divorce and made significant contributions to Scots family law, “which ensured that the needs of children were properly taken into account in a divorce settlement”.

The BBC also has details of her life.

NRA Supports Governor’s Capitol Building Gun Ban

I’ve read so many articles about the gun-toting American protesters entering a state capitol building that I’ve lost track of the number. It’s a hot news item for sure. What to do?

However, only very rarely have I seen any mention that the NRA position on this issue has been to ban guns. They backed Governor Ronald Reagan when he said it was a necessary law.

The display so frightened politicians—including California governor Ronald Reagan—that it helped to pass the Mulford Act, a state bill prohibiting the open carry of loaded firearms, along with an addendum prohibiting loaded firearms in the state Capitol. The 1967 bill took California down the path to having some of the strictest gun laws in America and helped jumpstart a surge of national gun control restrictions.

To be fair, Ronald Reagan was a bit of a racist exaggerator, so here’s the Snopes perspective on his rush to ban guns.

“The Black Panthers had invaded the legislative chambers in the Capitol with loaded shotguns and held these gentlemen under the muzzles of those guns for a couple of hours. Immediately after they left, Don Mulford introduced a bill to make it unlawful to bring a loaded gun into the Capitol Building. That’s the bill I signed. It was hardly restrictive gun control.”

[This recount by Ronald Reagan] wasn’t true, however, that the Black Panthers had held legislators “under the muzzles of guns” for hours. They were disarmed by the capitol police soon after entering the building, and, according to most contemporaneous accounts (including that of the Associated Press) were escorted out of the chambers 30 minutes later.

Source: Sacramento Bee

Of course the NRA we know today, as I’ve written elsewhere, remains very much the same organization with the same values as this period in time when it pushed for a ban on guns.

Poetry by Яolcats

These poems haven’t been updated for years, so Яolcats’ English Translations of Eastern Bloc Lolcats are starting to look like classics:

-The air is crisp, like fresh spring leaves.

-Do you know the time in Zurich?

-It is you! no one believed you would survive.

-We have little time, you must get these microfiche of the sub plans to Moscow

Very funny.

And now for an actual translation of the Russian phrases:

я по глазам твоим всё вижу: // I see everything in your eyes:
Расстерян. Выкинули что ль? // Distraught. Do you feel loss?
Иди ко мне,-я не обижу. // Come to me, I will not hurt.
Разделим холод,голод,боль… // Share the cold, hunger, pain…

GDPR Fine Print: 720,000 Euro Penalty for Collecting Biometrics

Fine issued for misuse of fingerprints.

The logic of this huge enforcement action was simple, biometric data was collected disproportionate to need.

Employees of a company had to have their fingerprints scanned for attendance and time registration. After investigation, the Dutch Data Protection Authority concluded that the company should not have processed employee fingerprints. The company cannot rely on an exception ground for the processing of special personal data. The company will be fined 725,000 euros for this.

Humans were at put risk because privacy wasn’t being properly minded. Attendance and time authentication were not reasonable use-cases, as they have effective ID options that do not need collection of biometrics.

Exception for collection would be made if fingerprints were an appropriate control mechanism, such as in a system protecting the user’s data by verifying them by something they are.