Trend Macrolytics, LLC › system › files › data-insights › ...Nicholson Baker New York...

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Copyright 2021 Trend Macrolytics LLC. All rights reserved. This document is not to be forwarded to individuals or organizations not authorized by Trend Macrolytics LLC to receive it. For information purposes only; not to be deemed to be recommendations for buying or selling specific securities or to constitute personalized investment advice. Derived from sources deemed to be reliable, but no warranty is made as to accuracy. Trend Macrolytics, LLC Donald Luskin, Chief Investment Officer Thomas Demas, Managing Director Michael Warren, Energy Strategist Data Insights: Covid-2019 Monitor Wednesday, January 6, 2021 The global scorecard United States + 214,378 United States + 3,478 United Kingdom + 61,087 Brazil + 1,171 Brazil + 56,648 Mexico + 1,065 Sweden + 32,369 Germany + 1,009 Russia + 23,955 United Kingdom + 881 Spain + 23,700 France + 868 France + 20,825 Italy + 649 Germany + 18,349 South Africa + 513 India + 18,088 Russia + 503 Colombia + 16,835 Spain + 352 + 486,234 + 10,489 World + 719,216 World + 15,137 Top ten 68% Top ten 69% World 30.6 median population age New cases New Deaths The worst ten countries 113.488 bp of population infected As of Jan 5 New confirmed cases by continent 2.449 bp of population fatalities Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations For more information contact us: Donald Luskin: 312 273 6766 [email protected] Thomas Demas: 704 552 3625 [email protected]

Transcript of Trend Macrolytics, LLC › system › files › data-insights › ...Nicholson Baker New York...

  • Copyright 2021 Trend Macrolytics LLC. All rights reserved. This document is not to be forwarded to individuals or organizations not

    authorized by Trend Macrolytics LLC to receive it. For information purposes only; not to be deemed to be recommendations for buying

    or selling specific securities or to constitute personalized investment advice. Derived from sources deemed to be reliable, but no

    warranty is made as to accuracy.

    Trend Macrolytics, LLC

    Donald Luskin, Chief Investment Officer

    Thomas Demas, Managing Director

    Michael Warren, Energy Strategist

    Data Insights: Covid-2019 Monitor Wednesday, January 6, 2021

    The global scorecard

    United States + 214,378 United States + 3,478

    United Kingdom + 61,087 Brazil + 1,171

    Brazil + 56,648 Mexico + 1,065

    Sweden + 32,369 Germany + 1,009

    Russia + 23,955 United Kingdom + 881

    Spain + 23,700 France + 868

    France + 20,825 Italy + 649

    Germany + 18,349 South Africa + 513

    India + 18,088 Russia + 503

    Colombia + 16,835 Spain + 352

    + 486,234 + 10,489

    World + 719,216 World + 15,137

    Top ten 68% Top ten 69%

    World

    30.6 median population age

    New cases New Deaths

    The worst ten countries

    113.488 bp of population infected

    As of Jan 5

    New confirmed cases

    by continent

    2.449 bp of population fatalities

    Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations

    For more information contact us: Donald Luskin: 312 273 6766 [email protected] Thomas Demas: 704 552 3625 [email protected]

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/mailto:[email protected]:[email protected]

  • 2

    The US scorecard

    New cases New Deaths New in hospital Cume cases Cume deaths Cume in hospital Hospital use ICU use

    CA CA CA NY NY RI 87% NM 93%

    MO TX TX TX FL GA 85% AL 92%

    AZ NY FL CA NJ MD 83% GA 91%

    TX MO NY FL GA SC 82% CA 88%

    MI SC IL NJ AZ DC 80% OK 88%

    PA VA OH IL OH NV 80% TX 87%

    NY NC PA PA IN NC 79% RI 87%

    IL AZ TN MI AL CT 78% NV 86%

    IN GA GA MA MD CA 78% MS 85%

    NJ FL NC GA MN AZ 77% NC 85%

    72% 77%

    69% 75%

    Fewer daily cases Fewer new deaths Fewer new hospitalizations Most recoveries

    United States

    US vaccinations17.02 million doses distibuted

    4.84 million 1st doses received

    3.26 million distributed to long-term care

    0.43 million 1st doses long-term care

    10.693 bp of population fatalities

    + 23,443

    OH + 11,130

    TN + 8,713

    PA + 6,173

    OK + 4,120

    OH -127

    FL -162-39

    -44

    -2,459 IA

    -3,572

    + 482

    + 347

    + 339

    + 209

    + 7,580

    + 6,839

    + 6,271

    + 185

    + 154

    + 150

    + 189

    + 12,666

    + 253

    + 250

    + 31,440

    + 368 + 31,630

    + 146

    + 142

    OH

    IL

    NJ

    GA + 6,102

    + 5,932

    All states

    + 132,834

    AZ

    TX

    CA

    FL

    NY

    PA

    2,452,334 30,802

    1,367,778 27,003

    735,003 18,562

    673,915 16,546

    1,041,028 22,515

    991,719 19,382

    13,608

    597,208 12,734

    1,843,153

    + 138

    + 153

    28,219

    + 149

    -45 IL

    All states

    Median

    NY -18 ID -98

    TX

    Some states not reporting

    The ten worst US states

    + 2,242

    +2985

    75%

    89,995

    64,783

    49,058

    43,018

    40,303

    39,650

    36,121

    35,430

    27,542

    22,337

    448,237

    617,649

    + 128

    + 107

    + 217

    + 263

    + 15,556

    + 8,818

    All states

    MN -1,571

    575,396 11,072

    10,895,183 200,443

    704,124

    64%

    + 2,127

    Top ten

    MI

    CT

    KS AL -163TN

    -174

    Top ten

    + 214,378

    +1.60 million/day

    +0.27 million/day

    +0.73 million/day

    +0.06 million/day

    38.1 median population age

    639.378 bp of population infected

    52% 58%

    20,825,758 348,286

    62%

    + 3,478

    61%

    -2,184 KS -18

    Five most improved US states

    WA -7,605 CT

    Dail

    y n

    ew

    cases a

    nd d

    eath

    s

    Source: Covid Tracking Project, Dept. of Health and Human Services, CDC, TrendMacro calculations

    https://covidtracking.com/https://catalog.data.gov/dataset/covid-19-estimated-patient-impact-and-hospital-capacity-by-statehttps://covid.cdc.gov/covid-data-tracker/#vaccinations

  • 3

    US deep-dive National and state-by-state data do not line up because of different sources

    Source: Covid Tracking Project, TrendMacro calculations

    https://covidtracking.com/

  • 4

    US deep-dive on the demographics of age, race and health

    Age distribution of US cases, fatalities and case-fatality rates Cumulative

    Racial distribution of US cases, fatalities and case-fatality rates

    (Does not foot

    with national average

    due to sample error)

    ComorbiditesTop-ten joint causes of Covid mortalities, cumulative For 6% of the deaths,

    COVID-19 was the only

    cause mentioned. For

    deaths with conditions

    or causes in addition to

    COVID-19, on average,

    there were 2.9

    additional conditions or

    causes per death.

    Source: Distributions CDC, Comorbidities CDC, TrendMacro calculations

    https://covid.cdc.gov/covid-data-tracker/#demographicshttps://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm

  • 5

    Recommended reading

    The Lab-Leak Hypothesis Nicholson Baker

    New York Magazine Januray 4, 2021

    Why did the world react so hysterically to covid? Sebastian Rushworth

    January 3, 2021

    Lockdowns Starve Mom and Pop Andy Pudzer

    Wall Street Journal January 4, 2021

    Meme of day

    g

    Source: Our beloved clients, and Power Line blog "The Week in Pictures"

    https://nymag.com/intelligencer/article/coronavirus-lab-escape-theory.htmlhttps://sebastianrushworth.com/2021/01/03/why-did-the-world-react-so-hysterically-to-covid/https://www.wsj.com/articles/lockdowns-starve-mom-and-pop-11609802683https://www.powerlineblog.com/archives/category/the-week-in-pictures

  • 6

    The coronavirus case accelerometer… tracking the world’s infection curves

    Share of infected population from first day with 100 confirmed cases, log scale

    Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/

  • 7

    The coronavirus mortality accelerometer … tracking the world’s fatality curves

    Share of deceased population from day of first fatality

    Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/

  • 8

    “Exponential”? Our most reliable evidence of the rate of spread of Covid-2019 Vertical: days to double deaths Horizontal: days from first death Flat indicates exponential spread Declining indicates supra-exponential spread Rising indicates sub-exponential spread

    Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/

  • 9

    Requirement to Open Up America Again: 14-day “downward trajectory” in new cases 14-day moving average, last 14 days Most recent value displayed ⚫ High ⚫ Low ◼ Downward trajectory ◼ Five best ◼ Upward trajectory ◼ Five worst

    Source: Covid Tracking Project, TrendMacro calculations

    https://assets.bwbx.io/documents/users/iqjWHBFdfxIU/rYDX4WWYX9Qg/v0https://covidtracking.com/

  • 10

    Alt requirement to Open Up America Again: 14-day “downward trajectory” in pos tests 14-day moving average, last 14 days Most recent value displayed ⚫ High ⚫ Low ◼ Downward trajectory ◼ Five best ◼ Upward trajectory ◼ Five worst

    Source: Covid Tracking Project, TrendMacro calculations

    https://assets.bwbx.io/documents/users/iqjWHBFdfxIU/rYDX4WWYX9Qg/v0https://covidtracking.com/

  • 11

    Reality-checking the models: actuals versus IHME predictions

    Source: IHME, Covid Tracking Project, TrendMacro calculations

    https://covid19.healthdata.org/united-states-of-americahttps://covid19.healthdata.org/united-states-of-americahttps://covidtracking.com/

  • 12

    From Ground Zero to the Rio Grande

    New York

    US ex-New York

    Texas635.66 bp of population infected

    33.9 median population age

    As of Jan 5

    38.1 median population age

    535.13 bp of population infected

    38.2 median population age

    646.00 bp of population infected

    15.75 bp of population fatalities

    10.26 bp of population fatalities

    9.65 bp of population fatalities

    Source: Covid Tracking Project,, TrendMacro calculations

    https://covidtracking.com/

  • 13

    The sun-belt hot-spot states (other than Texas)

    California

    Florida

    Arizona

    As of Jan 5

    779.63 bp of population infected

    38.0 median population age

    42.2 median population age

    620.65 bp of population infected

    36.7 median population age

    636.84 bp of population infected

    6.74 bp of population fatalities

    10.44 bp of population fatalities

    12.45 bp of population fatalities

    Source: Covid Tracking Project,, TrendMacro calculations

    https://covidtracking.com/

  • 14

    Patient zero… and then everyone else

    China

    World ex-China

    As of Jan 5

    28.8 median population age

    138.88 bp of population infected

    2.97 bp of population mortalities

    0.69 bp of population infected

    0.03 bp of population mortalities

    37.4 median population age

    Source: Johns Hopkins, Covid Tracking Project,TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/

  • 15

    Impact in the largest economies

    Japan

    Germany

    France

    As of Jan 5

    9.78 bp of population fatalities

    408.56 bp of population infected

    4.31 bp of population fatalities

    0.28 bp of population fatalities

    20.51 bp of population infected

    218.57 bp of population infected

    41.2 median population age

    45.9 median population age

    47.3 median population age

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 16

    Impact in The Anglosphere

    United Kingdom

    Canada

    Australia10.31 bp of population infected

    37.9 median population age

    As of Jan 5

    417.53 bp of population infected

    40.5 median population age

    164.50 bp of population infected

    40.8 median population age

    11.34 bp of population fatalities

    4.25 bp of population fatalities

    0.33 bp of population fatalities

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 17

    Impact in continental Europe

    Italy

    Spain

    Switzerland

    As of Jan 5

    9.27 bp of population fatalities

    545.36 bp of population infected

    10.88 bp of population fatalities

    12.54 bp of population fatalities

    361.44 bp of population infected

    422.38 bp of population infected

    45.5 median population age

    44.9 median population age

    42.2 median population age

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 18

    Impact in other hot-spots

    South Korea

    Singapore

    Sweden

    40.9 median population age

    464.09 bp of population infected

    8.62 bp of population fatalities

    As of Jan 5

    41.8 median population age

    12.70 bp of population infected

    103.00 bp of population infected

    34.6 median population age

    0.19 bp of population fatalities

    0.01 bp of population fatalities

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 19

    Impact in the BRICs ex-China

    India

    Russia

    Brazil

    As of Jan 5

    39.6 median population age

    26.8 median population age

    77.39 bp of population infected

    22.50 bp of population infected

    1.12 bp of population fatalities

    0.40 bp of population fatalities

    33.5 median population age

    372.81 bp of population infected

    9.38 bp of population fatalities

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 20

    Impact in the Middle East and Africa

    Israel

    Iran

    Africa (52 nations)

    As of Jan 5

    30.3 median population age

    30.2 median population age

    513.44 bp of population infected

    143.45 bp of population infected

    3.88 bp of population fatalities

    6.36 bp of population fatalities

    22.30 bp of population infected

    19.7 median population age

    0.52 bp of population fatalities

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series