However, as part of the pivot, Oracle has amassed a hefty debt load and the stock has dropped roughly 23% this year.
【数据】这一数据点表明Oracle的战略转型伴随着显著财务风险。需要核实债务规模、债务结构以及23%股价下跌的具体原因和行业背景。这一数据与Ellison取消大规模股票出售计划之间可能存在关联,值得进一步分析。
However, as part of the pivot, Oracle has amassed a hefty debt load and the stock has dropped roughly 23% this year.
【数据】这一数据点表明Oracle的战略转型伴随着显著财务风险。需要核实债务规模、债务结构以及23%股价下跌的具体原因和行业背景。这一数据与Ellison取消大规模股票出售计划之间可能存在关联,值得进一步分析。
if we lose the Green and Ice Sheet, or the AMOC, it would be a complete disaster. So, you cannot measure it economically, it's an infinite parameter. So then, if the probability, even if the probability is low, if you multiply a low probability with an infinite impact, then risks are also infinitely high.
for - planetary emergency - risk analysis
planetary emergency - risk analysis - risk = probability x impact - If impact is high, then even low probability x high impact means high risk - If AMOC or Greenland icesheet melts, the impact is so high that it is not even economically measurable
Eine neue Studie beschäftigt sich mit der zunehmenden Frequenz der Aufeinanderfolge extremer Trockenheit und extremer Niederschläge in Pakistan und in vielen afrikanischen Ländern. Ähnliche Phänomene lassen sich in Norditalien feststellen. https://www.theguardian.com/environment/2023/nov/14/extreme-drought-in-northern-italy-mirrors-climate-in-ethiopia
In the interest of reducing warranty claims (which are much more expensive than that incremental manufacturing cost) carmakers are sizing the whole unit to reliably accommodate the worst case draw (driver turns everything on at the same time, at idle).
ReconfigBehSci. (2021, December 23). Risk of hospital stay 40% lower with Omicron than Delta, UK data suggests https://t.co/VupN8hY4qq [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1473916654421643266
Nerd, G. M.-K. H. (2022, February 25). The Jury is Still Out on Ivermectin. Medium. https://gidmk.medium.com/the-jury-is-still-out-on-ivermectin-7d0a1895549
Quinn, E. K., Fenton, S., Ford-Sahibzada, C. A., Harper, A., Marcon, A. R., Caulfield, T., Fazel, S. S., & Peters, C. E. (2022). COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis. JMIR Infodemiology, 2(1), e32452. https://doi.org/10.2196/32452
Yamasoba, D., Kimura, I., Nasser, H., Morioka, Y., Nao, N., Ito, J., Uriu, K., Tsuda, M., Zahradnik, J., Shirakawa, K., Suzuki, R., Kishimoto, M., Kosugi, Y., Kobiyama, K., Hara, T., Toyoda, M., Tanaka, Y. L., Butlertanaka, E. P., Shimizu, R., … Sato, K. (2022). Virological characteristics of SARS-CoV-2 BA.2 variant (p. 2022.02.14.480335). bioRxiv. https://doi.org/10.1101/2022.02.14.480335
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
New Study Finds Vaccine Dose Timing Reduces Risk of Long-COVID in Unvaccinated Patients. (2021, December 15). Arcadia.Io. https://arcadia.io/press-release-vaccine-dose-timing-reduces-long-covid-risk/
Eric Topol. (2021, December 14). Graph of Pfizer 3rd shot (booster) vs Omicron symptomatic infection, restoring to 75% protection, significantly less compared to its effect vs Delta (95%) with 95% CI, @UKHSA data, vs unvaccinated https://ft.com/content/8a6a0ec8-fd07-49cd-a3f5-386a06269a5c by @hannahkuchler @donatopmancini @mroliverbarnes https://t.co/PHMDZGIgDj [Tweet]. @EricTopol. https://twitter.com/EricTopol/status/1470744717398720513
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
Smith, C., Odd, D., Harwood, R., Ward, J., Linney, M., Clark, M., Hargreaves, D., Ladhani, S. N., Draper, E., Davis, P. J., Kenny, S. E., Whittaker, E., Luyt, K., Viner, R., & Fraser, L. K. (2021). Deaths in children and young people in England after SARS-CoV-2 infection during the first pandemic year. Nature Medicine, 1–8. https://doi.org/10.1038/s41591-021-01578-1
Gurdasani, D., Bhatt, S., Costello, A., Denaxas, S., Flaxman, S., Greenhalgh, T., Griffin, S., Hyde, Z., Katzourakis, A., McKee, M., Michie, S., Ratmann, O., Reicher, S., Scally, G., Tomlinson, C., Yates, C., Ziauddeen, H., & Pagel, C. (2021). Vaccinating adolescents against SARS-CoV-2 in England: A risk–benefit analysis. Journal of the Royal Society of Medicine, 01410768211052589. https://doi.org/10.1177/01410768211052589
Iacobucci, G. (2021). Covid and flu: What do the numbers tell us about morbidity and deaths? BMJ, n2514. https://doi.org/10.1136/bmj.n2514
Covid and Age—The New York Times. (n.d.). Retrieved October 15, 2021, from https://www.nytimes.com/2021/10/12/briefing/covid-age-risk-infection-vaccine.html
Covid booster shots important to stop infection, finds English study | Coronavirus | The Guardian. (n.d.). Retrieved October 14, 2021, from https://www.theguardian.com/world/2021/oct/14/covid-booster-shots-important-to-stop-infection-finds-english-study
Gurdasani, Deepti. ‘Vaccinating Adolescents in England: A Risk-Benefit Analysis’. OSF Preprints, 4 August 2021. https://doi.org/10.31219/osf.io/grzma.
Study: Myocarditis risk 37 times higher for children with COVID-19 than uninfected peers | American Academy of Pediatrics. (n.d.). Retrieved October 10, 2021, from https://www.aappublications.org/news/2021/08/31/covid-myocarditis-risk-children-083121
Sam Wang on Twitter: “These are risk levels that you pose to other people. They’re compared with you as—A nonsmoker—A sober driver—A vaccinated person. Unvaccinated? 5x as likely to get sick, for 3x as long. Total risk to others? 15x a vaccinated person Details:https://t.co/ckTWaivK8n https://t.co/PhpLvX2dsm” / Twitter. (n.d.). Retrieved September 19, 2021, from https://twitter.com/SamWangPhD/status/1438361144759132167
These Israeli COVID-19 graphs prove Pfizer vaccine works—Israel News—Haaretz.com. (n.d.). Retrieved August 17, 2021, from https://www.haaretz.com/israel-news/israel-covid-graphs-prove-vaccines-works-delta-pfizer-1.10101640
We shouldn’t be giving Covid boosters while millions wait for a first dose | Andrew Pollard and Seth Berkley | The Guardian. (n.d.). Retrieved August 17, 2021, from https://www.theguardian.com/commentisfree/2021/aug/13/covid-boosters-dose-vaccine
Trisha Greenhalgh on Twitter: “LONG THREAD on masks. Mute if not interested. Do masks work? Why do some people claim they don’t work? Do they cause harm? What kinds of masks should we wear? How does masking need to change now we know that Covid is airborne? When can we stop wearing them? Get your popcorn. 1/” / Twitter. (n.d.). Retrieved August 1, 2021, from https://twitter.com/trishgreenhalgh/status/1414294003479089154
Dvir Aran. (2021, July 27). You’ve probably seen reports from Israel on low vaccine effectiveness in this wave. Is it because of Delta? Waning immunity? We think the reason is mostly that we got the denominator wrong. Https://t.co/yloh5Vo9Xi [Tweet]. @dvir_a. https://twitter.com/dvir_a/status/1420059124700700677
Global experts urge Boris Johnson to delay ‘dangerous’ Covid reopening | Coronavirus | The Guardian. (n.d.). Retrieved July 9, 2021, from https://www.theguardian.com/world/2021/jul/07/global-experts-urge-boris-johnson-delay-covid-reopening
See how age and illnesses change the risk of dying from covid-19 | The Economist. (n.d.). Retrieved June 29, 2021, from https://www.economist.com/graphic-detail/covid-pandemic-mortality-risk-estimator
Risk of covid-19 infection plummets 21 days after a vaccination | New Scientist. (n.d.). Retrieved June 25, 2021, from https://www.newscientist.com/article/2281512-risk-of-covid-19-infection-plummets-21-days-after-a-vaccination/?utm_term=Autofeed&utm_campaign=echobox&utm_medium=social&utm_source=Twitter#Echobox=1624329998
Parsons, J. E., Newby, K. V., & French, D. P. (2018). Do interventions containing risk messages increase risk appraisal and the subsequent vaccination intentions and uptake? – A systematic review and meta‐analysis. British Journal of Health Psychology, 23(4), 1084–1106. https://doi.org/10.1111/bjhp.12340
Pishko, A. M., Bussel, J. B., & Cines, D. B. (2021). COVID-19 vaccination and immune thrombocytopenia. Nature Medicine, 1–2. https://doi.org/10.1038/s41591-021-01419-1
Brewer, N. T., DeFrank, J. T., & Gilkey, M. B. (2016). Anticipated Regret and Health Behavior: A Meta-Analysis. Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association, 35(11), 1264–1275. https://doi.org/10.1037/hea0000294
(20) Carolyn Barber, MD on Twitter: ‘@VincentRK Thank you. Very helpful. Retweeting this which lines up with your UK data. Https://t.co/ECNaGuqiaB’ / Twitter. (n.d.). Retrieved 24 April 2021, from https://twitter.com/cbarbermd/status/1381407627884695556
Taquet, M. (2021, April 15). COVID-19 and cerebral venous thrombosis: a retrospective cohort study of 513,284 confirmed COVID-19 cases. https://doi.org/10.17605/OSF.IO/H2MT7
Jeremy Faust MD MS (ER physician) on Twitter: “Let’s talk about the background risk of CVST (cerebral venous sinus thrombosis) versus in those who got J&J vaccine. We are going to focus in on women ages 20-50. We are going to compare the same time period and the same disease (CVST). DEEP DIVE🧵 KEY NUMBERS!” / Twitter. (n.d.). Retrieved April 15, 2021, from https://twitter.com/jeremyfaust/status/1382536833863651330
ReconfigBehSci. ‘@sarahflecke “Reports Emerging of Rare Types of Multiple Thrombosis, Bleeding, and Thrombocytopenia .. Similar to Disseminated Intravasc. Coagulation ... in Otherwise Healthy Individuals Shortly after Receiving ..AstraZeneca ..Vaccine. These Outcomes Are Not Included in the Present Analysis.”’ Tweet. @SciBeh (blog), 2 April 2021. https://twitter.com/SciBeh/status/1377984798422077446.
Carl T. Bergstrom on Twitter. (n.d.). Twitter. Retrieved 19 February 2021, from https://twitter.com/CT_Bergstrom/status/1357799981977985025
Indiana University Network Science Institute. ‘Alessandro Vespignani on Computational Epidemiology at the Time of COVID-19’. Accessed 7 March 2021. http://iuni.iu.edu/news/event/59.
Mori, Makoto, Harlan M. Krumholz, and Heather G. Allore. ‘Using Latent Class Analysis to Identify Hidden Clinical Phenotypes’. JAMA 324, no. 7 (18 August 2020): 700–701. https://doi.org/10.1001/jama.2020.2278.
Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND. Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol. 2007;26(2):136–45. doi:10.1037/0278-6133.26.2.136
Sudhir, A. (2020, July 1). The Medical Case for Reopening Schools. Slate Magazine. https://slate.com/technology/2020/07/school-reopening-medical-case.html
Liu, Y., Finch, B. K., Brenneke, S. G., Thomas, K., & Le, P. D. (2020). Perceived Discrimination and Mental Distress Amid the COVID-19 Pandemic: Evidence From the Understanding America Study. American Journal of Preventive Medicine, 0(0). https://doi.org/10.1016/j.amepre.2020.06.007
Landgrave, M. (2020). How Do Legislators Value Constituent’s (Statistical) Lives? COVID-19, Partisanship, and Value of a Statistical Life Analysis. https://doi.org/10.31235/osf.io/n93w2
Sun, K., Wang, W., Gao, L., Wang, Y., Luo, K., Ren, L., Zhan, Z., Chen, X., Zhao, S., Huang, Y., Sun, Q., Liu, Z., Litvinova, M., Vespignani, A., Ajelli, M., Viboud, C., & Yu, H. (2020). Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2. MedRxiv, 2020.08.09.20171132. https://doi.org/10.1101/2020.08.09.20171132
Gaiha, S. M., Cheng, J., & Halpern-Felsher, B. (2020). Association Between Youth Smoking, Electronic Cigarette Use, and Coronavirus Disease 2019. Journal of Adolescent Health, 0(0). https://doi.org/10.1016/j.jadohealth.2020.07.002
Sherrard-Smith, E., Hogan, A. B., Hamlet, A., Watson, O. J., Whittaker, C., Winskill, P., Ali, F., Mohammad, A. B., Uhomoibhi, P., Maikore, I., Ogbulafor, N., Nikau, J., Kont, M. D., Challenger, J. D., Verity, R., Lambert, B., Cairns, M., Rao, B., Baguelin, M., … Churcher, T. S. (2020). The potential public health consequences of COVID-19 on malaria in Africa. Nature Medicine, 1–6. https://doi.org/10.1038/s41591-020-1025-y
Levin, A. T., Cochran, K. B., & Walsh, S. P. (2020). Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Meta-Analysis & Public Policy Implications (Working Paper No. 27597; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27597
The New Hazardous Jobs and Worker Reallocation. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13532/
Ahn, M. H., Shin, Y. W., Kim, J. H., Kim, H. J., Lee, K.-U., & Chung, S. (2020). High Work-related Stress and Anxiety Response to COVID-19 among Healthcare Workers in South Korea: SAVE study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/9nxth
Garmendia, A., & Alfonso, S. L. (2020). Popular Reactions To External Threats in Federations. https://doi.org/10.31235/osf.io/qyjtm
Lighter, J., Phillips, M., Hochman, S., Sterling, S., Johnson, D., Francois, F., & Stachel, A. (n.d.). Obesity in Patients Younger Than 60 Years Is a Risk Factor for COVID-19 Hospital Admission. Clinical Infectious Diseases. https://doi.org/10.1093/cid/ciaa415
Su, Q., Hu, J., Lin, H., Zhang, Z., Zhu, E. C., Zhang, C., Wang, D., Gao, Z., & Cao, B. (2020). Prevalence and risks of severe events for cancer patients with COVID-19 infection: A systematic review and meta-analysis. MedRxiv, 2020.06.23.20136200. https://doi.org/10.1101/2020.06.23.20136200
Abdelrahman, M. K. (2020, April 14). Personality Traits, Risk Perception and Social Distancing During COVID-19. https://doi.org/10.31234/osf.io/6g7kh
COVID-19 Regional Safety Assessment | DKG. (n.d.). DKV. Retrieved June 17, 2020, from https://www.dkv.global/covid-safety-assessment-200-regions
If it’s a live pet, you do a little threat modeling: is the cat cute and cuddly, or will it scratch the kid’s face off?
Winton Centre for Risk and Evidence Communication
Dai, B., Fu, D., Meng, G., Qi, L., & Liu, X. (2020, April 25). The effects of governmental and individual predictors on COVID-19 protective behaviors in China: a path analysis model. https://doi.org/10.31234/osf.io/hgzj9
Fischhoff, B., de Bruin, W. B., Güvenç, Ü., Caruso, D., & Brilliant, L. (2006). Analyzing disaster risks and plans: An avian flu example. Journal of Risk and Uncertainty, 33(1–2), 131–149. https://doi.org/10.1007/s11166-006-0175-8
ReconfigBehSci en Twitter: “https://t.co/DN7ajEZkiJ and Fischhoff, B., Wong-Parodi, G., Garfin, D., Holman, E.A., & Silver, R. (2018). Public understanding of Ebola risks: Mastering an unfamiliar threat. Risk Analysis, 38(1), 71-83. doi: 10.1111/risa.12794 2)” / Twitter. (n.d.). Twitter. Retrieved April 16, 2020, from https://twitter.com/scibeh/status/1243547189248393218
It might be contrary to traditional thinking, but writing unique passwords down in a book and keeping them inside your physically locked house is a damn sight better than reusing the same one all over the web. Just think about it - you go from your "threat actors" (people wanting to get their hands on your accounts) being anyone with an internet connection and the ability to download a broadly circulating list Collection #1, to people who can break into your house - and they want your TV, not your notebook!
“Even if experts are saying it’s really not going to make a difference, a little [part of] people’s brains is thinking, well, it’s not going to hurt. Maybe it’ll cut my risk just a little bit, so it’s worth it to wear a mask,” she says.