The hottest Data Manipulation Substack posts right now

Scientists accused of misconduct may face damaging consequences like losing their careers and facing lawsuits.
Intent matters when judging data fabrication, and public condemnation is not always the best approach.
Challenges arise when individuals expose scientific fraud by prominent researchers and face potential legal repercussions.

The collapse of the Soviet Union involved top leadership being blind to the country's financial facts.
Soviet economic data was unreliable and widely fudged, making it difficult to understand the economy.
The CIA had to rely on their own estimates since even those in the Kremlin did not have accurate numbers on the Soviet economy.

AI is a powerful evolution of computing technology, tracing back 75 years to the invention of the transistor.
AI's exponential growth in compute power enables manipulation of vast amounts of data and sophisticated algorithms.
The internet plays a crucial role in AI, facilitating extensive networking and simultaneous computing.

Radiation sensors at Chernobyl spiked after the Russian invasion, leading to suspicions of data manipulation.
Patterns in the data from sensors indicated possible data manipulation rather than actual radiation spikes.
The disappearance of the server and hard drives from the Ecocenter raised questions about who may have tampered with the sensor data.

There have been recent accusations of data fabrication in elite research institutions at high levels.
The fabrication methods exposed have been lazy and poorly done, revealing copied and pasted graphs and flipped results.
The pressure to publish novel results quickly in academia might be contributing to the rise in data fabrication.

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Misinformation attacks against AI involve providing incorrect information to trick AI systems and manipulate their behavior.
Types of misinformation attacks include adversarial examples, data poisoning, model inversion, Trojan attacks, membership inference attacks, and model stealing.
Mitigating misinformation attacks requires data validation, robust model architectures, defense mechanisms, privacy-preserving techniques, monitoring, security best practices, user education, and collaborative efforts.

Using apply functions in R like lapply and sapply can help apply functions to elements in a vector or list.
Math functions in R like abs(), sum(), mean(), and round() are useful for basic calculations and rounding numbers.
Data manipulation in R using dplyr involves functions like filter(), arrange(), select(), and mutate() to filter, sort, and create new columns in datasets.

Political biases in AI can harm democracy and influence decisions.
Biased AI systems can deepen societal divisions.
Caution is needed to prevent AI from being used for manipulation by commercial or political interests.

Lawrence Lessig defended Francesca Gino, but evidence suggests Gino is likely guilty of fraud.
It's not rational to claim 0% or 100% certainty in complex situations.
Multiple pieces of evidence point to Francesca Gino's involvement in fraudulent activities.

Humans are social creatures seeking meaningful relationships and connection.
Loneliness and isolation are increasing in society, leading to unmet human needs.
AI-powered chatbots pose risks in manipulating human emotions and interactions through language.

Reddit faced a meltdown but is trying to bounce back under Steve Huffman's leadership.
We are relying heavily on big data, but it's easily manipulated and can be misleading.
Kik has become a hub for illicit activities like sex and drugs due to its messaging platform.