This is a correlative argument by saying the increase of money in the broken system will cause it to become even more corrupt. A little bit further down, it talks about body cams and how with access to do that officers are able to change the footage to their liking.

Nick Sawyer, MD, MBA, FACEP [@NickSawyerMD]. (2022, January 3). The anti-vaccine community created a manipulated version of VARES that misrepresents the VAERS data. #disinformationdoctors use this data to falsely claim that vaccines CAUSE bad outcomes, when the relationship is only CORRELATED. Watch this explainer: Https://youtu.be/VMUQSMFGBDo https://t.co/ruRY6E6blB [Tweet]. Twitter. https://twitter.com/NickSawyerMD/status/1477806470192197633

Bansal, B. (2021). Rapid COVID-19 Test: Investigating the Willingness to Take a Rapid Test Based on Multiple Factors. PsyArXiv. https://doi.org/10.31234/osf.io/j3t76

Wood, D., & Brumfiel, G. (2021, December 5). Pro-Trump counties now have far higher COVID death rates. Misinformation is to blame. NPR. https://www.npr.org/sections/health-shots/2021/12/05/1059828993/data-vaccine-misinformation-trump-counties-covid-death-rate

Montag, C., Sindermann, C., Rozgonjuk, D., Yang, S., Elhai, J. D., & Yang, H. (2021). Investigating Links Between Fear of COVID-19, Neuroticism, Social Networks Use Disorder, and Smartphone Use Disorder Tendencies. Frontiers in Psychology, 0. https://doi.org/10.3389/fpsyg.2021.682837

Gonnet, G., Stewart, J., Lafleur, J., Keith, S., McLellan, M., Jiang-Gorsline, D., & Snider, T. (2021). Analysis of feature influence on Covid-19 Death Rate Per Country Using a Novel Orthogonalization Technique. MetaArXiv. https://doi.org/10.31222/osf.io/4kw2n

Richard McElreath 🍜 on Twitter: “Everything is selection effects, always has been. From page 162 of my book: Https://t.co/tQaeF2LXkW” / Twitter. (n.d.). Retrieved June 28, 2021, from https://twitter.com/rlmcelreath/status/1396040993175126018

Sato, R., & Fintan, B. (n.d.). Women’s understanding of immunization card and its correlation with vaccination behaviors. Human Vaccines & Immunotherapeutics, 16(10), 2408–2414. https://doi.org/10.1080/21645515.2020.1726682

Mukhlis, H., Widyastuti, T., Harlianty, R. A., Susanti, S., & Kumalasari, D. (2020). Study on Awareness of COVID-19 and Compliance with Social Distancing during COVID-19 Pandemic in Indonesia. PsyArXiv. https://doi.org/10.31234/osf.io/c9rme

Adams, R. C., Sumner, P., Vivian-Griffiths, S., Barrington, A., Williams, A., Boivin, J., Chambers, C. D., & Bott, L. (2017). How readers understand causal and correlational expressions used in news headlines. Journal of Experimental Psychology: Applied, 23(1), 1–14. https://doi.org/10.1037/xap0000100

Coronavirus cases may be linked to brain complications, study finds. (n.d.). Thetowntalk. Retrieved July 5, 2020, from https://www.usatoday.com/story/news/health/2020/06/27/coronavirus-cases-may-linked-brain-complications-study-finds/3270615001/

Brown, C. S., & Ravallion, M. (2020). Inequality and the Coronavirus: Socioeconomic Covariates of Behavioral Responses and Viral Outcomes Across US Counties (Working Paper No. 27549; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27549

Dave, D. M., Friedson, A. I., Matsuzawa, K., Sabia, J. J., & Safford, S. (2020). Black Lives Matter Protests, Social Distancing, and COVID-19 (Working Paper No. 27408; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27408

Augenblick, N., Kolstad, J. T., Obermeyer, Z., & Wang, A. (2020). Group Testing in a Pandemic: The Role of Frequent Testing, Correlated Risk, and Machine Learning (Working Paper No. 27457; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27457

Desmet, K., & Wacziarg, R. (2020). Understanding Spatial Variation in COVID-19 across the United States (Working Paper No. 27329; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27329

Intergenerational Residence Patterns and COVID-19 Fatalities in the EU and the US. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13452/

Webster, G. D., Howell, J. L., Losee, J. E., Mahar, E., & Wongsomboon, V. (2020). Culture, COVID-19, and Collectivism: A Paradox of American Exceptionalism? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/hqcs6

Arif, M., & Sengupta, S. (2020). Nexus between population density and COVID-19 pandemic in the south Indian states: A geo-statistical approach [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/e8nda

Allard, A., Moore, C., Scarpino, S. V., Althouse, B. M., & Hébert-Dufresne, L. (2020). The role of directionality, heterogeneity and correlations in epidemic risk and spread. ArXiv:2005.11283 [Physics, q-Bio]. http://arxiv.org/abs/2005.11283

Chan, H., Torgler, B., Brumpton, M., Macintyre, A., Arapoc, J., Savage, D. A., … Stadelmann, D. (2020, July 3). How confidence in health care systems affects mobility and compliance during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/86qxu

Baumann, F., Lorenz-Spreen, P., Sokolov, I. M., & Starnini, M. (2020). Emergence of polarized ideological opinions in multidimensional topic spaces. ArXiv:2007.00601 [Physics]. http://arxiv.org/abs/2007.00601

Allington, D., Duffy, B., Wessely, S., Dhavan, N., & Rubin, J. (undefined/ed). Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine, 1–7. https://doi.org/10.1017/S003329172000224X

Ngo, S.-C., Percus, A. G., Burghardt, K., & Lerman, K. (2020). The transsortative structure of networks. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 476(2237), 20190772. https://doi.org/10.1098/rspa.2019.0772

Magnitude of pearson correlation coeficient.

Multilevel correlations: A new method for common problems. (2020 April 13). R-bloggers. https://www.r-bloggers.com/multilevel-correlations-a-new-method-for-common-problems/

ReconfigBehSci en Twitter: “RT @paimadhu: I suspect most folks rushing to pre-prints with correlations between #Covid_19 & a host of variables (e.g. BCG, malaria endem…” / Twitter. (n.d.). Twitter. Retrieved April 21, 2020, from https://twitter.com/scibeh/status/1252311781382541312

An example of partial correlation.

Several sets of (x, y) points, with the correlation coefficient of x and y for each set. Note that the correlation reflects the non-linearity and direction of a linear relationship (top row), but not the slope of that relationship (middle), nor many aspects of nonlinear relationships (bottom). N.B.: the figure in the center has a slope of 0 but in that case the correlation coefficient is undefined because the variance of Y is zero.