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BONK Meme Coin Sees Wild Price Fluctuations and Massive Holder Concentration - After the all-time cryptocurrency price highs in 2021, suffering through the Luna ... - https://news.bitcoin.com/bonk-meme-coin-sees-wild-price-fluctuations-and-massive-holder-concentration/ #marketcapitalization #holderconcentration #circulatingsupply #pricefluctuations #richestaddresses #bonkinumemecoin #marketvaluation #real-worldvalue #cryptocurrency #massiveholder #coincarp.com #archive.org #developers
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BONK Meme Coin Sees Wild Price Fluctuations and Massive Holder Concentration - After the all-time cryptocurrency price highs in 2021, suffering through the Luna ... - https://news.bitcoin.com/bonk-meme-coin-sees-wild-price-fluctuations-and-massive-holder-concentration/ #marketcapitalization #holderconcentration #circulatingsupply #pricefluctuations #richestaddresses #bonkinumemecoin #marketvaluation #real-worldvalue #cryptocurrency #massiveholder #coincarp.com #archive.org #developers
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Développeurs, développeuses, nettoyez le Web ! // Et n'utilisez plus #Chrome (encore une occasion de favoriser #Firefox). #CleanUpTheWeb #FlocOffGoogle https://framablog.org/2021/04/20/developpeurs-developpeuses-nettoyez-le-web/
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Developing less toxic treatments & direct involvement of young cancer patients in clinical trials are needed to improve life after cancer! ✅
Young cancer survivor Nicola Unterecker shared today her experience on stage at the #MissionCancer's Young Cancer Survivors Conference.
🐦🔗: https://n.respublicae.eu/EUScienceInnov/status/1622976831849656325
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Interested in developing your agri-food business in Japan?
Register now to be part of the business delegation accompanying @jwojc on his high-level mission in July 2023 🇪🇺🇯🇵
Apply by 31 January 👉https://europa.eu/!9Tjtxt
#EUAgriPromo @agriculture_ie🐦🔗: https://n.respublicae.eu/eurireland/status/1618275047084527618
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Les bombes climatiques développées par #Total ne pourraient pas voir le jour si les banques comme @BNPParibas n’étaient pas là pour financer les entreprises qui les développent.
Mettons fin aux activités destructrices de BNP Paribas avec #AffaireBNP !
👉 http://www.affaire-bnp.fr -
Les bombes climatiques développées par #Total ne pourraient pas voir le jour si les banques comme @BNPParibas n’étaient pas là pour financer les entreprises qui les développent.
Mettons fin aux activités destructrices de BNP Paribas avec #AffaireBNP !
👉 http://www.affaire-bnp.fr -
Moderates, Progressives, Communists and Protestants: the thread about 122 years of local political change in Edinburgh
For no good reason, I decided to make a chart that shows the changing political make-up of Edinburgh’s municipal government in the last 124 years. It’s a graph whose changing colours and gradients tell lots of different political and historical stories about municipal government in that time, so let’s pick apart 124 years of Edinburgh’s political local history and find out what was going on and why, shall we?
Seat make-up of Edinburgh Town / District / City Council after Municipal Elections, 1920-presentFirst things first, we need to get a few things out of the way. In doing so it helps to avoid coming to the wrong conclusions about the graph and helps to understand what’s going on in the background and how the local electoral system has changed over time.
Until 1974, people voted for the Town Council, which was the elected1 component of what was known formally as the Lord Provost, Magistrates and Council of the City and Royal Burgh of Edinburgh but almost universally as just the Corporation. The city was divided up into wards, as it is now, and each ward had three councillors, one of whom was elected each year on rotation. Each councillor served a three year term after which they retired but could stand again for re-election. This meant that voters were expected to vote annually for one councillor, the ballots of which were always held in the first week of November until in 1948 they were shifted to May. If a councillor stepped down or died during their term of office there would either be a by-election or if it was close to the next election then two seats would be up for grabs. Very occasionally, the entire Town Council was up for vote, e.g. after the amalgamation of Edinburgh and Leith in 1920 and when the date of ballots moved from November to May in 1948.
The Town Council in April 1961, the Lord Provost (John Greig Dunbar) and Bailies (senior Magistrates) sit at the head of the meeting. The Labour members are on the left, the Progressives on the right © Edinburgh City LibrariesIn 1974, voters went to the polls to vote for members of the new District Council. The District was the lower tier of municipal government established by the Local Government (Scotland) Act 1973. Edinburgh, Mid-, East and West Lothian Districts together formed the upper tier; Lothian Regional Council. This new system came into effect on May 16th 1975 and had votes every three (later four) years for the entire council, with a single councillor elected per ward on a first-past-the-post system. In 1995, voters went to the polls for the unitary authority of the City (of Edinburgh) Council as a result of the Local Government etc. (Scotland) Act 1994 which abolished the Regional Councils and devolved their powers to new unitary authorities based roughly on the Districts (or closely, in the case of Edinburgh). City Council elections followed the same electoral system as the District until 2007, when the Local Governance (Scotland) Act 2004 changed this to a multi-member ward system, with three or four councillors elected every five years by proportional representation.
n.b. The graphs do not show the results of any intermediate by-elections, or the proportion of votes cast, it only shows the proportion of seats on the council that were held by each political grouping after the election of that year.
1920s. Moderates and Socialists
Edinburgh Town Council make-up 1920-30Our graph starts at 1920, when a full Town Council election was held on account of Leith having just been incorporated in to the City under the terms of the Edinburgh Boundaries Extension and Tramways Act 1920. The city was completely dominated at this time by the purple of the Moderates – not a formal party, but a political bloc of small-c conservatives, Liberals, Unionists, Liberal-Unionists and Independents who were strongly aligned to the Church of Scotland and whose purpose was largely to keep the right sort of people running the city and keep the red Socialists2 of Labour out.
Central Edinburgh Constituency Labour Party banner, 1925. © Edinburgh City LibrariesThe Moderates were effective in the latter purpose but inevitably Edinburgh’s first Labour councillor was elected on November 2nd 1909 when dentist John Alexander Young was returned for the Dalry ward. Although by 1930 Labour had crept slowly up to sixteen councillors – after a jump from 6 to 14 in 1926, (just shy of 1/4 of the Council – there was still no sign of the city “going red” as was threatening in Glasgow. Just peeping in at the top in 1930 is the thin grey line of a single independent councillor, Alexander Thomson, who would shift his allegiance to the Moderates in 1933.
1930s. Progressives and Protestants
Edinburgh Town Council make-up 1930-44Between 1930 and 1940 there were two big changes in the Town Council – none of which actually affected who actually ran the City. In 1936 the loose, purple assemblage of the Moderates re-constituted themselves as the dark blue band of the Progressives, a more formally constituted party to counter the threat posed by Labour. On the formation of the Glasgow Progressives, where by now Labour was in control of the Town Council, the Scotsman described them as “an organisation which would effectively combat the Socialist menace, break down the apathy of many citizens, and co-ordinate all Moderate opinion in the city.” The other big change during this time was the brief but rapid rise and fall of the black band of John Cormack’s Protestant Action Society.
The banner of Loyal Orange Lodge no. 188, who style themselves “Cormack’s Protestant Defenders” on parade in Edinburgh, Lodge photo from public facebook group.Protestant Action were an extreme, anti-Catholic organisation whose basic platform was “No Popery“. Cormack made a habit of causing trouble wherever he could, stoking sectarian tensions in overcrowded and underprivileged wards, whipping up his supporters into violence and occasional riots, but always careful to be able to absolve himself of the blame. He formed his party in 1933 and in 1934’s election it got one councillor on 6% of the popular vote. By 1935 it got 21% and three seats, peaking in 1936 with a worrying 31% of the vote and nine seats. But not even Cormack’s force of oratory could hold his unruly grouping together; the established Protestant power of the Orange Order would have little to do with them. They picked fights with the fascists and the communists and then they picked fights amongst themselves. Support for Protestant Action soon waned and in the last pre-war municipal election of 1938 they had dropped back to 12% and 6 seats. John Cormack however would cling on to his seat in South Leith, becoming the “Father of the Council” in 1956 as its longest serving member. This seniority entitled him to the office of Bailie, one that conferred significant authority. He retired in 1961.
Post-war. Labour Rising
Edinburgh Town Council make-up 1944-55On the outbreak of war in 1939, the Government suspended municipal elections for the duration and so the Town Council sat, as it was, for the duration. Its representation did change however in 1940 when Dalry Labour councillors David Stephen (1938 election intake) and George Boath (1939 by-election) resigned their party and changed allegiance to the dark red band of the Communists. With no by-elections possible, they continued to serve under this particular banner until elections re-started in 1945 when they were duly voted out at the first opportunity.
Except from “Old Street, Edinburgh” by William Wilson, 1935. A scene looking up the old Elder Street to St. James Square and showing canvassers for the forthcoming general election. CC-by-NC National Galleries ScotlandIn line with the national trend, Labour saw an upsurge in post-war popularity, with its share of 40% of the popular vote translating to an increase to 27 seats, or 40% of the Town Council. This position was reversed in 1949 when they went back to 15 seats and 22% of the popular vote. Again this mirrored popular, national discontent with the Labour government and a recovery in Conservative fortunes. It was not until 1955 that Labour had managed to regain the ground it had lost to the Progressives six years previous, so the political status quo in the city was maintained throughout the decade. Protestant Action lost their seats coming up for re-election in 1945 and 1946, with only John Cormack able to cling on, as the thin black line at the bottom of the graph, from 1947 onwards.
1955-65. Progressive Decline
Edinburgh Town Council make-up 1955-65The story of the next ten years was one of a long, slow waning in the fortunes of the Progressives. Throughout the decade Labour was able to make ground against them, until by the 1962 election both parties polled 38.5% of the popular vote, and in 1963 for the first time ever in Edinburgh Labour briefly surpassed the Progressives by this measure, 39.6% vs. 36.0%. But the three year system meant it was a long, slow process to effect political change although Labour had narrowed the gap between them and the Progressives to a single seat (32 vs. 33) by 1964, they were never quite able to bridge it. It cannot be seen in this chart, but in 1965 the Labour local vote collapsed to 27.9%, their worst since 1949, and the Progressives recovered to 58% after a run of five bad years. A new entrant onto the political scene in 1957 was Lady Morton (Hilda Sherwood Morton), who was elected for the orange strip of the Liberals in Merchiston ward. She was the first of her party to do so after it began to stand a few candidates in the city in 1955; by 1963 they had picked up four more for a total of five.
1965-74. End of the Old Order
Edinburgh Town Council make-up 1965-74The next ten years following 1965 saw the first big shake-ups on the Edinburgh local political scene beyond the glacially slow 50 year rise of Labour. Most importantly, it was the decade in which party political politics, which had been more or less kept out of Municipal Government for the last 50 years, finally took over. Firstly, in 1962 the Unionist party started standing candidates. This was a centre-right political party that stood for Westminster elections in Scotland and that was aligned to the (English) Conservatives. In other parts of Scotland the National Liberal Party stood; both they and the Unionists took the Conservative whip in the House of Commons. In 1965 the Unionists formally merged with the Conservatives to form the Scottish Conservative & Unionist Party, joined in 1968 by the National Liberals. Just as the Moderates had given way to the Progressives, so to did the Progressives give way to the Conservatives, but over a much longer timescale. Note that the press had long called both the Progressives and the Unionists “Tories“. Most of the Progressive old guard continued to stand as such, but new candidates stood instead as Conservatives. The result was that after their first candidates were elected in 1962, the light blue band of the Conservatives gradually and seamlessly usurped the old party, which finally died out alongside the long-established Town Council in 1974.
During this period, the Labour party found its position for a while squeezed between the strengthened Tory bloc and the insurgent yellow blob of the Scottish National Party, which enjoyed a brief flurry of popularity after Winnie Ewing’s breakthrough victory in the 1967 Hamilton by-election. In 1968 they swelled to 35% of the popular local vote in Edinburgh and by 1969 had ten councillors, before rapdily collapsing back to local indifference by 1972 with just 2.9% of the vote. The first Scottish nationalist candidate had stood for the Town Council way back in 1932 but no more stood until 1956-59 when their handful of candidates polled less than 1% of the popular vote.
Jack Kane, Lord Provost of Edinburgh 1972-75; official portrait by Alexander Goudie. True to his down-to-earth form, he has eschewed donning his official robes. He was the first Lord Provost to decline the honorary knighthood that his position conferred. © Museums & Galleries EdinburghBy 1972, the SNP threat had gone, the Progressives were in terminal decline and Labour was recovering, and as a result it finally managed to become the largest party on the council, with 33 seats to the opposition’s 30. It had only taken them 63 years since their first councillor was sworn in! Their leader, Jack Kane, was elected Lord Provost that year, the first Labour holder of that post. With the final elections to the old Town Council in 1973, Labour had 34 seats and finally had a majority!
1974-95. District Days
Edinburgh District Council make-up 1974-95In 1974, the residents of Edinburgh went to the polls to vote for their new District Council, which replaced a system of local Government that had been going in one form or another for the past 700 years or more. Interestingly, although archaic titles such as Lord Provost and Bailie were meant to be swept away, they were kept on as honorific positions. The District Council performed many of the functions of the old Edinburgh Corporation, but strategic issues such as Transport, Education, Regional Planning, Police and Fire were run by the upper tier of Regional Councils. The District also expanded the boundaries of the City to include outlying areas such as Currie, Balerno, Kirkliston and South Queensferry, which had previously been semi-independent Districts (or in the case of Queensferry, a Burgh) within the old Midlothian County (thank you to Paul Cockburn for pointing this fact out).
Lothian Regional Council ghost sign, 20 plus years after that authority ceased to be. Photo © SelfThe results of the first election saw the Conservatives come out as the largest party, with one more seat than Labour. They lacked an overall majority but got it at the next ballot in 1977, with 34 of 67 seats. This marked the high point of the Conservative party in Edinburgh’s local government, and they have been in decline ever since. After the election of 1984, Labour increasingly dominated local politics. At the final District Council election in 1992, they took 30 of 62 seats, with the (by now) Liberal Democrats holding the balance of power. But by now there were more than two big parties in local politics and the single member wards with first-past-the-post electoral system did not function fairly. The Liberal Democrats in 1992 got 15% of the popular vote but only 3% of the seats. The SNP got 14% of the vote and no seats! Labour were flattered by the system, getting 48% of the seats on 29% of the vote.
1995-. The Rainbow Council
City of Edinburgh Council make-up 1995-2022It was all change again in 1995, when voters at the local elections now went to choose their City Council, a unitary authority based largely on the boundaries and functions of the old District but with the additional responsibilities of the Regions, which would disappear the following year, also. There was no fundamental changes however; Labour continued to dominate, the Conservatives continued their decline and the Liberal Democrats filled the void for the sort of voter who would once have been religiously Moderate or Progressive but who found they couldn’t bring themselves to vote Conservative due to national issues. By 2003, Labour retained a slim majority (31 of 59 seats), with the Liberal Democrats the next largest bloc on 15.
The SNP had a real problem however – they were reliably getting 15-30% of the popular vote in the Council elections but rarely picked up seats; they gone 1.7% of the seats on 21.5% of the vote in 1999. Labour in contrast had more than 50% of the seats on less than one third of the vote. This democratic deficit was remedied in 2007 when a new system of multi-member wards elected by Single Transferable Vote (proportional representation) was brought in. This had the immediate effect of giving the long-suppressed SNP a huge boost, with one fifth of the popular vote and council seats gained that year. The change was disastrous for Labour however, whose commanding position was built on the shaky foundations of an unrepresentative electoral system and their number of seats more than halved, to one much more in line with their overall popularity. The changes also let in the Scottish Green Party, who after standing candidates in one form or another in the city since 1980 finally picked up 3 seats. Rainbow politics had finally arrived!
The story of the rest of the period covered by our graph is largely now the story of Scottish and British national politics. The Conservatives continued to decline in popularity, but got a post-2014 Independence Referendum boost; the Liberal Democrats were punished heavily in 2012 after their coalition government at Westminster with the former party, and their recovery has been slow and largely concentrated in their traditional base of the west of the city. Labour have been largely unable to capitalise on these changes however – caught between any number of local and national issues – as the SNP and Green popular vote has held up and continued to creep upwards, with a combined 40% in 2017 and 2022.
Portobello political window in 2014. National politics has now come to dominate local politics. © Edinburgh City LibrariesThe last local election in 2022 was one fought heavily on manifestos of national issues, despite these not being something that any local Council has any jurisdiction in. As a result, it saw the Conservative turn in their worst ever result for the Moderate-Progressive-Conservative bloc in the 122 years of our graph, with just 18% of the vote and 14% (nine) seats. Labour managed only 19% of the vote and 20% of the seats, their second-worst result in 100 years and yet somehow managed to pull various political strings and favours to run a minority administration; something the SNP failed to have sufficient support from their opposition to do, despite remaining the largest party by both seats and popular vote.
Who knows what 2027 might bring!
- There was an honorary seat on the Town Council for each of the Deacon Conveners (senior office holders) of the Merchant Company and the Incorporated Trades, meaning two members of the Town Council were unelected ↩︎
- The Scotsman perceived the Socialists as an extreme threat to the established order of the city and was strongly and persistently hostile to them in the 1920s through to the 1940s. In its reporting it almost always referred to them as just “the Socialists” ↩︎
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#Lochend #Logan #Restalrig #StMargaret -
It’s the latest development in the struggle over abortion rights between Ohio’s Republican-dominated legislature and the majority of the voters, who passed the amendment by a margin of 57% to 43%:
“To prevent mischief by pro-abortion courts with [the amendment], Ohio legislators will consider removing jurisdiction from the judiciary over this ambiguous ballot initiative,” said the mix of fairly new and veteran lawmakers who are all vice-chairs of various house committees. “The Ohio legislature alone will consider what, if any, modifications to make to existing laws based on public hearings and input from legal experts on both sides.”
The statement also contained unsubstantiated references to “foreign election interference” by billionaires before voters enshrined abortion rights in Ohio’s constitution.
Abortion rights advocates plan to ask the courts to repeal any remaining abortion bans and restrictions on the books in Ohio, including a mandatory 24-hour waiting period before abortion seekers can have the procedure and a ban on abortions after a fetal diagnosis of Down syndrome
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Sovereign Tech Fund invests over €1 million in KDE software development - KDE Community
https://kde.org/announcements/sovereign-tech-fund-invests-kde/
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#buildInPublic #iosDev
Back to this after a hiatus of several weeks. Starting a new threadprevious thread is here https://mastodon.social/@Tom_frog/115686636425331266
I'm going to need to develop the alternate #coreData model described in the previous thread, then develop a data migration. Finally, I’ll need to sync and deduplicate. I will use the the #swiftTesting functions I added in the first phase to test the migration.
staying well away from AI since I want to actually understand what I’m doing at the end.
1/n
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#buildInPublic #iosDev
Back to this after a hiatus of several weeks. Starting a new threadprevious thread is here https://mastodon.social/@Tom_frog/115686636425331266
I'm going to need to develop the alternate #coreData model described in the previous thread, then develop a data migration. Finally, I’ll need to sync and deduplicate. I will use the the #swiftTesting functions I added in the first phase to test the migration.
staying well away from AI since I want to actually understand what I’m doing at the end.
1/n
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#buildInPublic #iosDev
Back to this after a hiatus of several weeks. Starting a new threadprevious thread is here https://mastodon.social/@Tom_frog/115686636425331266
I'm going to need to develop the alternate #coreData model described in the previous thread, then develop a data migration. Finally, I’ll need to sync and deduplicate. I will use the the #swiftTesting functions I added in the first phase to test the migration.
staying well away from AI since I want to actually understand what I’m doing at the end.
1/n
-
#buildInPublic #iosDev
Back to this after a hiatus of several weeks. Starting a new threadprevious thread is here https://mastodon.social/@Tom_frog/115686636425331266
I'm going to need to develop the alternate #coreData model described in the previous thread, then develop a data migration. Finally, I’ll need to sync and deduplicate. I will use the the #swiftTesting functions I added in the first phase to test the migration.
staying well away from AI since I want to actually understand what I’m doing at the end.
1/n
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DATE: May 14, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Real-world evidence shows generative AI is making human creative output more uniform
Using artificial intelligence for creative tasks tends to make human output more uniform on a collective level. A recent preprint study provides evidence that while these tools might boost individual performance, they contribute to an overall reduction in the diversity of ideas across different users. This widespread reliance on automated assistance could lead to a narrower range of concepts in collaborative environments.
Generative artificial intelligence refers to computer programs capable of creating new text, images, or other media based on user instructions. The most common of these tools rely on large language models. Developers build these models by feeding them billions of sentences from the internet, allowing the software to recognize patterns and predict how words should follow one another.
Since many users interact with similar systems trained on overlapping data, scientists have raised concerns about how this technology shapes human thought. Researchers Alwin de Rooij, assistant professor in creativity research at Tilburg University and associate professor at Avans University of Applied Sciences, and Michael Mose Biskjaer, associate professor in design creativity and innovation at Aarhus University, designed a new study to assess these concerns. They noticed that previous research often focused on how these tools help individuals work faster or overcome temporary mental blocks.
They wanted to know if this individual assistance comes at a collective cost. “There are growing concerns that using Generative AI may lead people toward similar creative ideas,” the authors explained. “While AI can enhance creativity at the individual level, these benefits might come at a cost for creativity at a collective, or even societal, level.”
The authors sought to answer whether generative software makes people think alike. “We sought to address this by conducting a systematic review and meta-analysis of 19 empirical studies,” they noted. “More concretely, we wanted to examine whether and to what extent generative AI use is associated with convergence at the level of creative output, such as people’s ideas, designs, and creative writing.”
A meta-analysis is a statistical technique that combines the results of multiple independent studies to find common patterns or overall trends. By pooling data from various experiments, scientists can draw more robust conclusions than they could from a single test. The authors searched academic databases for studies published between 2022 and early 2026.
This time frame covers the period following the public release of popular chatbots, capturing the first wave of empirical research on this topic. The researchers selected 18 eligible articles containing 19 distinct experimental studies. These studies provided a total of 61 individual effect sizes, which are mathematical values indicating the strength of a specific phenomenon.
To be included in the analysis, the original experiments had to compare humans working with generative software against humans working alone. The original studies measured homogenization using several techniques. Many relied on advanced text analysis tools that translate written responses into mathematical coordinates.
This process allows computers to measure the semantic distance between words, essentially calculating how closely related different ideas are to one another. Other studies used human experts to rate the variety of meanings produced by participants. The analysis revealed a statistically significant homogenization effect associated with the use of artificial intelligence.
When people co-created with these systems, their final products tended to be more similar to the work of other users. “The meta-analysis shows that using generative AI can indeed lead people to think alike,” the authors noted. “Across individuals, AI use tends to make ideas, designs, and creative texts more similar to one another.”
“This suggests that AI may contribute to a form of homogenization of creative thought at the collective level,” they continued. “Importantly, this does not necessarily reflect a failure of human-AI co-creation but may instead be an inherent feature of how these systems currently support creative work at scale.”
The scientists also evaluated whether the type of task influenced the degree of uniformity. They categorized the experiments into four groups, which included divergent thinking, idea generation, writing, and visual art. Divergent thinking tasks are highly open-ended exercises, such as asking someone to list creative uses for a paperclip.
Idea generation tasks provide more specific constraints, such as asking for solutions to improve public transportation. The analysis showed that the homogenization effect was strongest in the idea generation tasks. Because these exercises require specific solutions to defined problems, users likely rely more heavily on the predictable suggestions provided by the computer algorithms.
The researchers did not find strong statistical evidence for differences among the other three categories, suggesting that open-ended tasks lead to less convergence. They also checked if these patterns only happen in highly controlled laboratory settings. The authors compared traditional laboratory experiments with real-world scenarios, such as analyzing published essays and visual artworks created before and after the widespread adoption of automated writing tools.
The analysis of these real-world conditions showed a small but significant reduction in idea diversity. “In many ways, the findings resemble classic fixation effects from the psychology literature, where exposure to examples constrains later thinking, but here they appear amplified by the scale and synchronicity of generative AI model use,” the researchers stated. “This homogenization effect was observed not only in controlled lab studies but also in real-world quasi-experiments. This suggests that it is not merely a lab-based phenomenon, but a practical concern affecting concrete creative processes and practices.”
De Rooij and Biskjaer also investigated whether this narrowing of ideas persists after a person stops using the software. They isolated a subset of studies that tested participants on new creative tasks after their initial interaction with the computer models. The results suggest that the homogenization effect carries over into these subsequent activities.
“The findings also provide preliminary evidence that homogenization effects may persist beyond moments of direct AI use,” the researchers told PsyPost. “In other words, interacting with these generative AI systems may shape how people think and generate ideas even after the interaction has ended. This potential ‘rub-off’ effect on creative cognition warrants further research and is something we would like to explore in more depth.”
These results closely align with another recent study published in the journal PNAS Nexus. Scientists Emily Wenger and Yoed N. Kenett tested how large language models affect human creativity by evaluating 22 different commercial chatbots. They recruited 102 human participants to complete a series of verbal creativity tests, including the alternative uses task, and then asked the chatbots to complete the exact same assignments.
Wenger and Kenett found that individual language models performed at or slightly above the level of the average human on most exercises. When viewed in isolation, a single chatbot provided highly original and creative responses. However, when the scientists compared all the responses from the different models, a stark pattern of similarity emerged.
Across all tasks, the computer programs produced answers that were significantly more alike than the answers provided by the human participants. Both sets of researchers point to similar underlying mechanisms for this phenomenon. Because the major technology companies train their models on massive, overlapping datasets scraped from the internet, the programs naturally gravitate toward the most statistically common word associations.
When thousands of people use these tools to generate ideas, the software acts as a semantic anchor. The models pull human users toward a shared set of typical concepts, reducing the overall variety of ideas. Wenger and Kenett attempted to fix this issue by adjusting the internal settings of the chatbots to force more random text generation, but this caused the models to produce nonsensical sentences.
Readers should avoid interpreting these findings as proof that human beings are becoming entirely uncreative. De Rooij and Biskjaer note that the reduction in collective diversity does not equal a total loss of individual ability. “A key point is that our findings do not show that using AI reduces creativity,” the researchers emphasized.
“Rather, they point to a shift in where and how creative diversity occurs, and where it may be constrained,” the authors said. “Individual output can improve in creative quality while becoming more similar across people. While these effects are often subtle in single instances, they may become meaningful when considered at the scale at which generative AI is now being used.”
The authors point out some limitations to their current analysis. The review primarily focuses on text-based tools and large language models, meaning the findings might not apply to other types of computer systems. For instance, adaptive machine learning programs or tools used for music composition were not adequately represented in the available data.
This restricts how broadly the scientific community can apply these conclusions across different artistic domains. Additionally, the analyses regarding long-term persistence and real-world applications relied on relatively small groups of studies. The limited data makes these specific conclusions tentative and open to revision.
Future research should explore different forms of human and machine collaboration over extended periods of time. “An important next step is rethinking how generative AI systems are designed and used in creative contexts to mitigate homogenization effects,” the authors noted. “This includes exploring alternative workflows, interaction designs, and creative strategies that sustain diversity rather than encourage early convergence.”
“One step in this direction has already been taken by mapping creative strategies for working with generative AI and machine learning, based on analyses of AI art practices,” they added, referencing a recently published article outlining this approach. “We believe these strategies can transfer to other creative domains.”
The preprint study, “Does Generative AI Make Us Think Alike? A Systematic Review and Meta-Analysis of Homogenization Effects in Human-AI Co-Creation,” was authored by Alwin de Rooij and Michael Mose Biskjaer.
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It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #GenerativeAI #CreativityDiversity #AICoCreation #Homogenization #CreativeThinking #AIImpact #CreativeDiversity #LLMs #TechEthics #InnovationScience
-
DATE: May 14, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Real-world evidence shows generative AI is making human creative output more uniform
Using artificial intelligence for creative tasks tends to make human output more uniform on a collective level. A recent preprint study provides evidence that while these tools might boost individual performance, they contribute to an overall reduction in the diversity of ideas across different users. This widespread reliance on automated assistance could lead to a narrower range of concepts in collaborative environments.
Generative artificial intelligence refers to computer programs capable of creating new text, images, or other media based on user instructions. The most common of these tools rely on large language models. Developers build these models by feeding them billions of sentences from the internet, allowing the software to recognize patterns and predict how words should follow one another.
Since many users interact with similar systems trained on overlapping data, scientists have raised concerns about how this technology shapes human thought. Researchers Alwin de Rooij, assistant professor in creativity research at Tilburg University and associate professor at Avans University of Applied Sciences, and Michael Mose Biskjaer, associate professor in design creativity and innovation at Aarhus University, designed a new study to assess these concerns. They noticed that previous research often focused on how these tools help individuals work faster or overcome temporary mental blocks.
They wanted to know if this individual assistance comes at a collective cost. “There are growing concerns that using Generative AI may lead people toward similar creative ideas,” the authors explained. “While AI can enhance creativity at the individual level, these benefits might come at a cost for creativity at a collective, or even societal, level.”
The authors sought to answer whether generative software makes people think alike. “We sought to address this by conducting a systematic review and meta-analysis of 19 empirical studies,” they noted. “More concretely, we wanted to examine whether and to what extent generative AI use is associated with convergence at the level of creative output, such as people’s ideas, designs, and creative writing.”
A meta-analysis is a statistical technique that combines the results of multiple independent studies to find common patterns or overall trends. By pooling data from various experiments, scientists can draw more robust conclusions than they could from a single test. The authors searched academic databases for studies published between 2022 and early 2026.
This time frame covers the period following the public release of popular chatbots, capturing the first wave of empirical research on this topic. The researchers selected 18 eligible articles containing 19 distinct experimental studies. These studies provided a total of 61 individual effect sizes, which are mathematical values indicating the strength of a specific phenomenon.
To be included in the analysis, the original experiments had to compare humans working with generative software against humans working alone. The original studies measured homogenization using several techniques. Many relied on advanced text analysis tools that translate written responses into mathematical coordinates.
This process allows computers to measure the semantic distance between words, essentially calculating how closely related different ideas are to one another. Other studies used human experts to rate the variety of meanings produced by participants. The analysis revealed a statistically significant homogenization effect associated with the use of artificial intelligence.
When people co-created with these systems, their final products tended to be more similar to the work of other users. “The meta-analysis shows that using generative AI can indeed lead people to think alike,” the authors noted. “Across individuals, AI use tends to make ideas, designs, and creative texts more similar to one another.”
“This suggests that AI may contribute to a form of homogenization of creative thought at the collective level,” they continued. “Importantly, this does not necessarily reflect a failure of human-AI co-creation but may instead be an inherent feature of how these systems currently support creative work at scale.”
The scientists also evaluated whether the type of task influenced the degree of uniformity. They categorized the experiments into four groups, which included divergent thinking, idea generation, writing, and visual art. Divergent thinking tasks are highly open-ended exercises, such as asking someone to list creative uses for a paperclip.
Idea generation tasks provide more specific constraints, such as asking for solutions to improve public transportation. The analysis showed that the homogenization effect was strongest in the idea generation tasks. Because these exercises require specific solutions to defined problems, users likely rely more heavily on the predictable suggestions provided by the computer algorithms.
The researchers did not find strong statistical evidence for differences among the other three categories, suggesting that open-ended tasks lead to less convergence. They also checked if these patterns only happen in highly controlled laboratory settings. The authors compared traditional laboratory experiments with real-world scenarios, such as analyzing published essays and visual artworks created before and after the widespread adoption of automated writing tools.
The analysis of these real-world conditions showed a small but significant reduction in idea diversity. “In many ways, the findings resemble classic fixation effects from the psychology literature, where exposure to examples constrains later thinking, but here they appear amplified by the scale and synchronicity of generative AI model use,” the researchers stated. “This homogenization effect was observed not only in controlled lab studies but also in real-world quasi-experiments. This suggests that it is not merely a lab-based phenomenon, but a practical concern affecting concrete creative processes and practices.”
De Rooij and Biskjaer also investigated whether this narrowing of ideas persists after a person stops using the software. They isolated a subset of studies that tested participants on new creative tasks after their initial interaction with the computer models. The results suggest that the homogenization effect carries over into these subsequent activities.
“The findings also provide preliminary evidence that homogenization effects may persist beyond moments of direct AI use,” the researchers told PsyPost. “In other words, interacting with these generative AI systems may shape how people think and generate ideas even after the interaction has ended. This potential ‘rub-off’ effect on creative cognition warrants further research and is something we would like to explore in more depth.”
These results closely align with another recent study published in the journal PNAS Nexus. Scientists Emily Wenger and Yoed N. Kenett tested how large language models affect human creativity by evaluating 22 different commercial chatbots. They recruited 102 human participants to complete a series of verbal creativity tests, including the alternative uses task, and then asked the chatbots to complete the exact same assignments.
Wenger and Kenett found that individual language models performed at or slightly above the level of the average human on most exercises. When viewed in isolation, a single chatbot provided highly original and creative responses. However, when the scientists compared all the responses from the different models, a stark pattern of similarity emerged.
Across all tasks, the computer programs produced answers that were significantly more alike than the answers provided by the human participants. Both sets of researchers point to similar underlying mechanisms for this phenomenon. Because the major technology companies train their models on massive, overlapping datasets scraped from the internet, the programs naturally gravitate toward the most statistically common word associations.
When thousands of people use these tools to generate ideas, the software acts as a semantic anchor. The models pull human users toward a shared set of typical concepts, reducing the overall variety of ideas. Wenger and Kenett attempted to fix this issue by adjusting the internal settings of the chatbots to force more random text generation, but this caused the models to produce nonsensical sentences.
Readers should avoid interpreting these findings as proof that human beings are becoming entirely uncreative. De Rooij and Biskjaer note that the reduction in collective diversity does not equal a total loss of individual ability. “A key point is that our findings do not show that using AI reduces creativity,” the researchers emphasized.
“Rather, they point to a shift in where and how creative diversity occurs, and where it may be constrained,” the authors said. “Individual output can improve in creative quality while becoming more similar across people. While these effects are often subtle in single instances, they may become meaningful when considered at the scale at which generative AI is now being used.”
The authors point out some limitations to their current analysis. The review primarily focuses on text-based tools and large language models, meaning the findings might not apply to other types of computer systems. For instance, adaptive machine learning programs or tools used for music composition were not adequately represented in the available data.
This restricts how broadly the scientific community can apply these conclusions across different artistic domains. Additionally, the analyses regarding long-term persistence and real-world applications relied on relatively small groups of studies. The limited data makes these specific conclusions tentative and open to revision.
Future research should explore different forms of human and machine collaboration over extended periods of time. “An important next step is rethinking how generative AI systems are designed and used in creative contexts to mitigate homogenization effects,” the authors noted. “This includes exploring alternative workflows, interaction designs, and creative strategies that sustain diversity rather than encourage early convergence.”
“One step in this direction has already been taken by mapping creative strategies for working with generative AI and machine learning, based on analyses of AI art practices,” they added, referencing a recently published article outlining this approach. “We believe these strategies can transfer to other creative domains.”
The preprint study, “Does Generative AI Make Us Think Alike? A Systematic Review and Meta-Analysis of Homogenization Effects in Human-AI Co-Creation,” was authored by Alwin de Rooij and Michael Mose Biskjaer.
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #GenerativeAI #CreativityDiversity #AICoCreation #Homogenization #CreativeThinking #AIImpact #CreativeDiversity #LLMs #TechEthics #InnovationScience
-
DATE: May 14, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Real-world evidence shows generative AI is making human creative output more uniform
Using artificial intelligence for creative tasks tends to make human output more uniform on a collective level. A recent preprint study provides evidence that while these tools might boost individual performance, they contribute to an overall reduction in the diversity of ideas across different users. This widespread reliance on automated assistance could lead to a narrower range of concepts in collaborative environments.
Generative artificial intelligence refers to computer programs capable of creating new text, images, or other media based on user instructions. The most common of these tools rely on large language models. Developers build these models by feeding them billions of sentences from the internet, allowing the software to recognize patterns and predict how words should follow one another.
Since many users interact with similar systems trained on overlapping data, scientists have raised concerns about how this technology shapes human thought. Researchers Alwin de Rooij, assistant professor in creativity research at Tilburg University and associate professor at Avans University of Applied Sciences, and Michael Mose Biskjaer, associate professor in design creativity and innovation at Aarhus University, designed a new study to assess these concerns. They noticed that previous research often focused on how these tools help individuals work faster or overcome temporary mental blocks.
They wanted to know if this individual assistance comes at a collective cost. “There are growing concerns that using Generative AI may lead people toward similar creative ideas,” the authors explained. “While AI can enhance creativity at the individual level, these benefits might come at a cost for creativity at a collective, or even societal, level.”
The authors sought to answer whether generative software makes people think alike. “We sought to address this by conducting a systematic review and meta-analysis of 19 empirical studies,” they noted. “More concretely, we wanted to examine whether and to what extent generative AI use is associated with convergence at the level of creative output, such as people’s ideas, designs, and creative writing.”
A meta-analysis is a statistical technique that combines the results of multiple independent studies to find common patterns or overall trends. By pooling data from various experiments, scientists can draw more robust conclusions than they could from a single test. The authors searched academic databases for studies published between 2022 and early 2026.
This time frame covers the period following the public release of popular chatbots, capturing the first wave of empirical research on this topic. The researchers selected 18 eligible articles containing 19 distinct experimental studies. These studies provided a total of 61 individual effect sizes, which are mathematical values indicating the strength of a specific phenomenon.
To be included in the analysis, the original experiments had to compare humans working with generative software against humans working alone. The original studies measured homogenization using several techniques. Many relied on advanced text analysis tools that translate written responses into mathematical coordinates.
This process allows computers to measure the semantic distance between words, essentially calculating how closely related different ideas are to one another. Other studies used human experts to rate the variety of meanings produced by participants. The analysis revealed a statistically significant homogenization effect associated with the use of artificial intelligence.
When people co-created with these systems, their final products tended to be more similar to the work of other users. “The meta-analysis shows that using generative AI can indeed lead people to think alike,” the authors noted. “Across individuals, AI use tends to make ideas, designs, and creative texts more similar to one another.”
“This suggests that AI may contribute to a form of homogenization of creative thought at the collective level,” they continued. “Importantly, this does not necessarily reflect a failure of human-AI co-creation but may instead be an inherent feature of how these systems currently support creative work at scale.”
The scientists also evaluated whether the type of task influenced the degree of uniformity. They categorized the experiments into four groups, which included divergent thinking, idea generation, writing, and visual art. Divergent thinking tasks are highly open-ended exercises, such as asking someone to list creative uses for a paperclip.
Idea generation tasks provide more specific constraints, such as asking for solutions to improve public transportation. The analysis showed that the homogenization effect was strongest in the idea generation tasks. Because these exercises require specific solutions to defined problems, users likely rely more heavily on the predictable suggestions provided by the computer algorithms.
The researchers did not find strong statistical evidence for differences among the other three categories, suggesting that open-ended tasks lead to less convergence. They also checked if these patterns only happen in highly controlled laboratory settings. The authors compared traditional laboratory experiments with real-world scenarios, such as analyzing published essays and visual artworks created before and after the widespread adoption of automated writing tools.
The analysis of these real-world conditions showed a small but significant reduction in idea diversity. “In many ways, the findings resemble classic fixation effects from the psychology literature, where exposure to examples constrains later thinking, but here they appear amplified by the scale and synchronicity of generative AI model use,” the researchers stated. “This homogenization effect was observed not only in controlled lab studies but also in real-world quasi-experiments. This suggests that it is not merely a lab-based phenomenon, but a practical concern affecting concrete creative processes and practices.”
De Rooij and Biskjaer also investigated whether this narrowing of ideas persists after a person stops using the software. They isolated a subset of studies that tested participants on new creative tasks after their initial interaction with the computer models. The results suggest that the homogenization effect carries over into these subsequent activities.
“The findings also provide preliminary evidence that homogenization effects may persist beyond moments of direct AI use,” the researchers told PsyPost. “In other words, interacting with these generative AI systems may shape how people think and generate ideas even after the interaction has ended. This potential ‘rub-off’ effect on creative cognition warrants further research and is something we would like to explore in more depth.”
These results closely align with another recent study published in the journal PNAS Nexus. Scientists Emily Wenger and Yoed N. Kenett tested how large language models affect human creativity by evaluating 22 different commercial chatbots. They recruited 102 human participants to complete a series of verbal creativity tests, including the alternative uses task, and then asked the chatbots to complete the exact same assignments.
Wenger and Kenett found that individual language models performed at or slightly above the level of the average human on most exercises. When viewed in isolation, a single chatbot provided highly original and creative responses. However, when the scientists compared all the responses from the different models, a stark pattern of similarity emerged.
Across all tasks, the computer programs produced answers that were significantly more alike than the answers provided by the human participants. Both sets of researchers point to similar underlying mechanisms for this phenomenon. Because the major technology companies train their models on massive, overlapping datasets scraped from the internet, the programs naturally gravitate toward the most statistically common word associations.
When thousands of people use these tools to generate ideas, the software acts as a semantic anchor. The models pull human users toward a shared set of typical concepts, reducing the overall variety of ideas. Wenger and Kenett attempted to fix this issue by adjusting the internal settings of the chatbots to force more random text generation, but this caused the models to produce nonsensical sentences.
Readers should avoid interpreting these findings as proof that human beings are becoming entirely uncreative. De Rooij and Biskjaer note that the reduction in collective diversity does not equal a total loss of individual ability. “A key point is that our findings do not show that using AI reduces creativity,” the researchers emphasized.
“Rather, they point to a shift in where and how creative diversity occurs, and where it may be constrained,” the authors said. “Individual output can improve in creative quality while becoming more similar across people. While these effects are often subtle in single instances, they may become meaningful when considered at the scale at which generative AI is now being used.”
The authors point out some limitations to their current analysis. The review primarily focuses on text-based tools and large language models, meaning the findings might not apply to other types of computer systems. For instance, adaptive machine learning programs or tools used for music composition were not adequately represented in the available data.
This restricts how broadly the scientific community can apply these conclusions across different artistic domains. Additionally, the analyses regarding long-term persistence and real-world applications relied on relatively small groups of studies. The limited data makes these specific conclusions tentative and open to revision.
Future research should explore different forms of human and machine collaboration over extended periods of time. “An important next step is rethinking how generative AI systems are designed and used in creative contexts to mitigate homogenization effects,” the authors noted. “This includes exploring alternative workflows, interaction designs, and creative strategies that sustain diversity rather than encourage early convergence.”
“One step in this direction has already been taken by mapping creative strategies for working with generative AI and machine learning, based on analyses of AI art practices,” they added, referencing a recently published article outlining this approach. “We believe these strategies can transfer to other creative domains.”
The preprint study, “Does Generative AI Make Us Think Alike? A Systematic Review and Meta-Analysis of Homogenization Effects in Human-AI Co-Creation,” was authored by Alwin de Rooij and Michael Mose Biskjaer.
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #GenerativeAI #CreativityDiversity #AICoCreation #Homogenization #CreativeThinking #AIImpact #CreativeDiversity #LLMs #TechEthics #InnovationScience
-
Answer: "No."
Most #CriticalMinerals are on #IndigenousLands. Will miners respect #TribalSovereignty?
by Taylar Dawn Stagner, March 26, 2025
"#Mining — whether for #FossilFuels or, increasingly, the critical minerals in high demand today — has a long history of perpetuating violence against #IndigenousPeople. Forcibly removing tribal communities to get to natural resources tied to their homelands has been the rule, not the exception, for centuries.
"Today, more than half of the mineral deposits needed for a global energy transition — including #lithium, #cobalt, #copper, and #nickel to make things like #batteries and #SolarPanels — are found near or beneath Indigenous lands.
"In 2007, the United Nations adopted a resolution called the Declaration on the Rights of Indigenous Peoples [#UNDRIP] that included the right to free, prior, and informed consent to the use of their lands, a concept known as #FPIC. This principle protects #IndigenousPeoples from being forcibly relocated, provides suitable avenues for redress of past injustices, and gives tribes and communities the right to consent to — and the right to refuse — #extractive industry projects like #mining.
"There’s a lot at stake: When followed, FPIC promises a process that gives Indigenous peoples a voice in how their homelands are used, as well as the right to say no to development altogether. And when it’s not, which is the vast majority of the time, #TribalCommunities are further #disenfranchised, facing #violence and #ForcedRelocation as their #sovereignty and rights are ignored.
"There are an estimated 5,000 tribal communities around the world, encompassing roughly 476 million people across 90 countries, according to the U.N. Different tribes have different opinions on mining, but rarely is their legal right to refuse extraction projects recognized, even under the 2007 declaration.
"Grist talked with five experts to better understand what free, prior, and informed consent should look like in this new era of mineral extraction. Their responses have been edited for length and clarity."
#CanPol #CanadaPol #BigOilAndGas #LandBack #IndigenousSovereignty #TribalSovereignty #LithiumMining #RecycleLithium #LithiumAlternatives #RecycleCopper
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
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@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection
-
@ProPublica In Czech Republic voters came with electronic IDs which were officially considered a valid ID for voting, and were IMO arbitrarily, wantonly and frivolously not allowed to vote, citing "overloaded system".
I can imagine a programming of the system like this:
if (voter.political_preference==opposition) {fprintf(stderr,"Error: sorry, system overloaded!\n"); exit -1; }
https://www.biometricupdate.com/202510/czech-parliamentary-elections-hit-by-digital-id-app-failure
https://www.smartsuite.in/czech-edoklady-crash-a-beginners-guide-to-digital-id-failures
Do you know what's the difference between Cambodian 3rd world developing country dictatorship and Czech Republic?
In Cambodia I got a dentist in 1 day, in Czechia I had to phone dentists for 2 months before I got one. In case of dermatologist even 4 months.
I feel
e x t r e m e l y s t r o n g c o n t e m p t
towards the Czech regime.
Some tags may be according to my opinion:
#votersuppression #electoralfraud #freedomtovote #disenfranchisement #disenfranchise #id #digitalid #digitalization #digitalitariandigitatorship #digitaldictatorship #czech #czechia #czechrepublic #failure #contempt #crime #sabotage #electionsabotage #electoralsabotage #sabotageofelection #invalidelection #fraudulentelection